From c71a91accc780ed4e82f316669337ae5b65ef10f Mon Sep 17 00:00:00 2001 From: Ratandeep Sharma Date: Tue, 27 Aug 2024 21:36:25 +0530 Subject: [PATCH 001/327] removed columns for an incremental model behaviour I found confusion line as it states "Similarly, if you remove a column from your incremental model, and execute a dbt run, this column will not be removed from your target table." But during the actual dbt run, it will encounter an error, though the documentation feels that dbt run should not fail. Link of the page https://docs.getdbt.com/docs/build/incremental-models#default-behavior --- website/docs/docs/build/incremental-models.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/incremental-models.md b/website/docs/docs/build/incremental-models.md index 2f8bbc46c3a..3d9beaa5959 100644 --- a/website/docs/docs/build/incremental-models.md +++ b/website/docs/docs/build/incremental-models.md @@ -216,7 +216,7 @@ This is the behavior if `on_schema_change: ignore`, which is set by default, and If you add a column to your incremental model, and execute a `dbt run`, this column will _not_ appear in your target table. -Similarly, if you remove a column from your incremental model, and execute a `dbt run`, this column will _not_ be removed from your target table. +Similarly, if you remove a column from your incremental model, and execute a `dbt run`, `dbt run` will fail. Instead, whenever the logic of your incremental changes, execute a full-refresh run of both your incremental model and any downstream models. From aed4c645c5a9b9f7a4f638cd9325063557f63e96 Mon Sep 17 00:00:00 2001 From: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> Date: Wed, 18 Sep 2024 12:28:09 -0700 Subject: [PATCH 002/327] Update website/docs/docs/build/incremental-models.md --- website/docs/docs/build/incremental-models.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/incremental-models.md b/website/docs/docs/build/incremental-models.md index 3d9beaa5959..b16452fab81 100644 --- a/website/docs/docs/build/incremental-models.md +++ b/website/docs/docs/build/incremental-models.md @@ -216,7 +216,7 @@ This is the behavior if `on_schema_change: ignore`, which is set by default, and If you add a column to your incremental model, and execute a `dbt run`, this column will _not_ appear in your target table. -Similarly, if you remove a column from your incremental model, and execute a `dbt run`, `dbt run` will fail. +If you remove a column from your incremental model and execute a `dbt run`, `dbt run` will fail. Instead, whenever the logic of your incremental changes, execute a full-refresh run of both your incremental model and any downstream models. From 151f5845d34220a705d539a698fde4c9b888adf7 Mon Sep 17 00:00:00 2001 From: john-rock Date: Mon, 30 Sep 2024 14:07:54 -0400 Subject: [PATCH 003/327] update hero ctas --- website/src/components/hero/index.js | 18 +++++++++- website/src/components/hero/styles.module.css | 30 +++++++++++++++++ .../components/quickstartGuideList/index.js | 33 +++++++++++++++++-- 3 files changed, 78 insertions(+), 3 deletions(-) diff --git a/website/src/components/hero/index.js b/website/src/components/hero/index.js index e4bef8e234b..c171417428d 100644 --- a/website/src/components/hero/index.js +++ b/website/src/components/hero/index.js @@ -1,7 +1,7 @@ import React from 'react'; import styles from './styles.module.css'; -function Hero({ heading, subheading, showGraphic = false, customStyles = {}, classNames = '', colClassNames = '' }) { +function Hero({ heading, subheading, showGraphic = false, customStyles = {}, classNames = '', colClassNames = '', callToActionsTitle, callToActions = [] }) { return (
{showGraphic && ( @@ -12,6 +12,22 @@ function Hero({ heading, subheading, showGraphic = false, customStyles = {}, cla

{heading}

{subheading}

+ {callToActionsTitle && {callToActionsTitle}} + {callToActions.length > 0 && ( +
+ {callToActions.map((c, index) => ( + c.href ? ( + + {c.label} + + ) : ( + + {c.title} + + ) + ))} +
+ )}
diff --git a/website/src/components/hero/styles.module.css b/website/src/components/hero/styles.module.css index f596b53762a..2400949aa97 100644 --- a/website/src/components/hero/styles.module.css +++ b/website/src/components/hero/styles.module.css @@ -49,3 +49,33 @@ width: 60%; } } + +.callToActionsTitle { + font-weight: bold; + margin-top: 20px; + margin-bottom: 20px; + font-size: 1.25rem; + display: block; +} + +.callToActions { + display: flex; + flex-flow: wrap; + gap: 0.8rem; + justify-content: center; +} + +.callToActions a { + outline: #fff solid 1px; + border-radius: 4px; + padding: 0 12px; + color: #fff; + transition: all .2s; + cursor: pointer; +} + +.callToActions a:hover, .callToActions a:active, .callToActions a:focus { + text-decoration: none; + outline: rgb(4, 115, 119) solid 1px; + color: #fff; +} diff --git a/website/src/components/quickstartGuideList/index.js b/website/src/components/quickstartGuideList/index.js index 0f4b5764340..c8df41d98ce 100644 --- a/website/src/components/quickstartGuideList/index.js +++ b/website/src/components/quickstartGuideList/index.js @@ -61,7 +61,7 @@ function QuickstartList({ quickstartData }) { // Update the URL with the new search parameters history.replace({ search: params.toString() }); -}; + }; // Handle all filters const handleDataFilter = () => { @@ -98,6 +98,30 @@ function QuickstartList({ quickstartData }) { handleDataFilter(); }, [selectedTags, selectedLevel, searchInput]); // Added searchInput to dependency array + // Set the featured guides that will show as CTAs in the hero section + // The value of the tag must match a tag in the frontmatter of the guides in order for the filter to apply after clicking + const featuredGuides = [ + { + title: 'Quickstart Guides', + value: 'Quickstart' + }, + { + title: 'Use Jinja to improve your SQL code', + value: 'Jinja' + }, + { + title: 'Orchestration', + value: 'Orchestration' + }, + ]; + + // Function to handle CTA clicks + const handleCallToActionClick = (value) => { + const params = new URLSearchParams(location.search); + params.set('tags', value); + history.replace({ search: params.toString() }); + }; + return ( @@ -111,6 +135,11 @@ function QuickstartList({ quickstartData }) { showGraphic={false} customStyles={{ marginBottom: 0 }} classNames={styles.quickstartHero} + callToActions={featuredGuides.map(guide => ({ + title: guide.title, + onClick: () => handleCallToActionClick(guide.value) + }))} + callToActionsTitle={'Popular guides'} />
@@ -135,7 +164,7 @@ function QuickstartList({ quickstartData }) {
- ) + ); } export default QuickstartList; From 71c52876ea5530defc5dcb2d3445d5ee77d2aeea Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 1 Oct 2024 09:59:47 -0400 Subject: [PATCH 004/327] accept hrefs --- website/src/components/hero/index.js | 4 ++-- website/src/components/hero/styles.module.css | 4 ++-- website/src/components/quickstartGuideList/index.js | 9 ++++++++- 3 files changed, 12 insertions(+), 5 deletions(-) diff --git a/website/src/components/hero/index.js b/website/src/components/hero/index.js index c171417428d..073fb518998 100644 --- a/website/src/components/hero/index.js +++ b/website/src/components/hero/index.js @@ -17,8 +17,8 @@ function Hero({ heading, subheading, showGraphic = false, customStyles = {}, cla
{callToActions.map((c, index) => ( c.href ? ( - - {c.label} + + {c.title} ) : ( diff --git a/website/src/components/hero/styles.module.css b/website/src/components/hero/styles.module.css index 2400949aa97..d654db2908d 100644 --- a/website/src/components/hero/styles.module.css +++ b/website/src/components/hero/styles.module.css @@ -65,7 +65,7 @@ justify-content: center; } -.callToActions a { +.callToAction { outline: #fff solid 1px; border-radius: 4px; padding: 0 12px; @@ -74,7 +74,7 @@ cursor: pointer; } -.callToActions a:hover, .callToActions a:active, .callToActions a:focus { +.callToAction:hover, .callToAction:active, .callToAction:focus { text-decoration: none; outline: rgb(4, 115, 119) solid 1px; color: #fff; diff --git a/website/src/components/quickstartGuideList/index.js b/website/src/components/quickstartGuideList/index.js index c8df41d98ce..53d1007648d 100644 --- a/website/src/components/quickstartGuideList/index.js +++ b/website/src/components/quickstartGuideList/index.js @@ -113,6 +113,11 @@ function QuickstartList({ quickstartData }) { title: 'Orchestration', value: 'Orchestration' }, + { + title: 'Sign up for dbt Cloud', + href: 'https://cloud.getdbt.com/signup/', + newTab: true + } ]; // Function to handle CTA clicks @@ -137,7 +142,9 @@ function QuickstartList({ quickstartData }) { classNames={styles.quickstartHero} callToActions={featuredGuides.map(guide => ({ title: guide.title, - onClick: () => handleCallToActionClick(guide.value) + href: guide.href, + onClick: () => handleCallToActionClick(guide.value), + newTab: guide.newTab }))} callToActionsTitle={'Popular guides'} /> From 859093245783fb29ee795b65e7b99046afda41a8 Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 1 Oct 2024 10:02:15 -0400 Subject: [PATCH 005/327] fix the link --- website/src/components/quickstartGuideList/index.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/src/components/quickstartGuideList/index.js b/website/src/components/quickstartGuideList/index.js index 53d1007648d..2bff0142a66 100644 --- a/website/src/components/quickstartGuideList/index.js +++ b/website/src/components/quickstartGuideList/index.js @@ -115,7 +115,7 @@ function QuickstartList({ quickstartData }) { }, { title: 'Sign up for dbt Cloud', - href: 'https://cloud.getdbt.com/signup/', + href: 'https://www.getdbt.com/signup', newTab: true } ]; From e1cf65c6d51361c704f6fb486fadf4d39779a734 Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 1 Oct 2024 10:03:15 -0400 Subject: [PATCH 006/327] update var name --- website/src/components/quickstartGuideList/index.js | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/src/components/quickstartGuideList/index.js b/website/src/components/quickstartGuideList/index.js index 2bff0142a66..0a14153bc56 100644 --- a/website/src/components/quickstartGuideList/index.js +++ b/website/src/components/quickstartGuideList/index.js @@ -100,7 +100,7 @@ function QuickstartList({ quickstartData }) { // Set the featured guides that will show as CTAs in the hero section // The value of the tag must match a tag in the frontmatter of the guides in order for the filter to apply after clicking - const featuredGuides = [ + const heroCTAs = [ { title: 'Quickstart Guides', value: 'Quickstart' @@ -140,7 +140,7 @@ function QuickstartList({ quickstartData }) { showGraphic={false} customStyles={{ marginBottom: 0 }} classNames={styles.quickstartHero} - callToActions={featuredGuides.map(guide => ({ + callToActions={heroCTAs.map(guide => ({ title: guide.title, href: guide.href, onClick: () => handleCallToActionClick(guide.value), From e27c1e27eb4556e50d13aed340446a8b8b767062 Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 1 Oct 2024 10:49:21 -0400 Subject: [PATCH 007/327] remove demo href --- website/src/components/quickstartGuideList/index.js | 5 ----- 1 file changed, 5 deletions(-) diff --git a/website/src/components/quickstartGuideList/index.js b/website/src/components/quickstartGuideList/index.js index 0a14153bc56..3b3623f1e14 100644 --- a/website/src/components/quickstartGuideList/index.js +++ b/website/src/components/quickstartGuideList/index.js @@ -113,11 +113,6 @@ function QuickstartList({ quickstartData }) { title: 'Orchestration', value: 'Orchestration' }, - { - title: 'Sign up for dbt Cloud', - href: 'https://www.getdbt.com/signup', - newTab: true - } ]; // Function to handle CTA clicks From 53b42ead5b0ebf74d091c774b1298816126636e4 Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Fri, 11 Oct 2024 12:49:21 +0100 Subject: [PATCH 008/327] add sl img --- .../docs/docs/use-dbt-semantic-layer/dbt-sl.md | 2 ++ .../docs/use-dbt-semantic-layer/sl-faqs.md | 5 +++++ .../dbt-cloud/semantic-layer/sl-concept.png | Bin 0 -> 235916 bytes 3 files changed, 7 insertions(+) create mode 100644 website/static/img/docs/dbt-cloud/semantic-layer/sl-concept.png diff --git a/website/docs/docs/use-dbt-semantic-layer/dbt-sl.md b/website/docs/docs/use-dbt-semantic-layer/dbt-sl.md index e09a68b97c4..774036bf6e5 100644 --- a/website/docs/docs/use-dbt-semantic-layer/dbt-sl.md +++ b/website/docs/docs/use-dbt-semantic-layer/dbt-sl.md @@ -13,6 +13,8 @@ The dbt Semantic Layer, powered by [MetricFlow](/docs/build/about-metricflow), s Moving metric definitions out of the BI layer and into the modeling layer allows data teams to feel confident that different business units are working from the same metric definitions, regardless of their tool of choice. If a metric definition changes in dbt, it’s refreshed everywhere it’s invoked and creates consistency across all applications. To ensure secure access control, the dbt Semantic Layer implements robust [access permissions](/docs/use-dbt-semantic-layer/setup-sl#set-up-dbt-semantic-layer) mechanisms. + + Refer to the [dbt Semantic Layer FAQs](/docs/use-dbt-semantic-layer/sl-faqs) or [Why we need a universal semantic layer](https://www.getdbt.com/blog/universal-semantic-layer/) blog post to learn more. ## Get started with the dbt Semantic Layer diff --git a/website/docs/docs/use-dbt-semantic-layer/sl-faqs.md b/website/docs/docs/use-dbt-semantic-layer/sl-faqs.md index 40b84ada40a..d206e4f1488 100644 --- a/website/docs/docs/use-dbt-semantic-layer/sl-faqs.md +++ b/website/docs/docs/use-dbt-semantic-layer/sl-faqs.md @@ -28,6 +28,8 @@ The primary value of the dbt Semantic Layer is to centralize and bring consisten - **Simplify your code** by not duplicating metric logic and allowing MetricFlow to perform complex calculations for you. - **Empower stakeholders** with rich context and flexible, yet governed experiences. + + @@ -110,6 +112,9 @@ You can use tables and dbt models to calculate metrics as an option, but it's a If you create a table with a metric, you’ll need to create numerous other tables derived from that table to show the desired metric cut by the desired dimension or time grain. Mature data models have thousands of dimensions, so you can see how this will quickly result in unnecessary duplication, maintenance, and costs. It's also incredibly hard to predict all the slices of data that a user is going to need ahead of time. With the dbt Semantic Layer, you don’t need to pre-join or build any tables; rather, you can simply add a few lines of code to your semantic model, and that data will only be computed upon request. + + + diff --git a/website/static/img/docs/dbt-cloud/semantic-layer/sl-concept.png b/website/static/img/docs/dbt-cloud/semantic-layer/sl-concept.png new file mode 100644 index 0000000000000000000000000000000000000000..31e8d15bd2d81e44792d6349946367266759d01e GIT binary patch literal 235916 zcmeFZ_ghoh7dIL!s3;<%fHV~aD@CN2IHF>qs7SAZNGDQ44Ftym2*NN(FA)n!Xd=BO zC?!%uZ-E2}5FmsY0)&uu5A%*P-}eu=_x>>Fd3fSEd!JoCd-b)B(RYmW_wPNr7X$+B zzj@>8JrHPLItV0ipMN*-Bs;T-2>k4Me8bWY1Ujz1`M2#_vXTSvaGT#f{VSm2Zi#u| zW~a;VhQEVArSbdN4|aieq#eI`_4oTh+ZHDvvE!>@lQcp8Z=-RN=`)KG0ZA%4;)mKi zNC?MUXFVem`>c?!e%k=4Ih<9=M;3fyot~HcdMPhizx3|=?DSh-PJR(gzcC`0c0F)F z*4@?S_XD99?tZdf{3x69;rt2N%3Z&=ce%*wt<|wICPqioM&TtXmrB#Jm>gcw@+60~ zjaQziv-yV&^>Q#0wJ;4Wid`4%I1$dtje?4w z7-C;_dIQ63zwKGiuNRhGA7>oq$o^l?YxY*Y@x^VytY 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00:00:00 2001 From: mirnawong1 Date: Fri, 11 Oct 2024 12:56:28 +0100 Subject: [PATCH 009/327] add env img --- website/docs/docs/dbt-cloud-environments.md | 3 ++- website/static/img/dbt-env.png | Bin 0 -> 140016 bytes 2 files changed, 2 insertions(+), 1 deletion(-) create mode 100644 website/static/img/dbt-env.png diff --git a/website/docs/docs/dbt-cloud-environments.md b/website/docs/docs/dbt-cloud-environments.md index 0316364ea49..3e17a129051 100644 --- a/website/docs/docs/dbt-cloud-environments.md +++ b/website/docs/docs/dbt-cloud-environments.md @@ -15,8 +15,9 @@ Critically, in order to execute dbt, environments define three variables: Each dbt Cloud project can have only one [development environment](#create-a-development-environment), but there is no limit to the number of [deployment environments](/docs/deploy/deploy-environments), providing you the flexibility and customization to tailor the execution of scheduled jobs. -Use environments to customize settings for different stages of your project and streamline the execution process by using software engineering principles. This page will detail the different types of environments and how to intuitively configure your development environment in dbt Cloud. + +Use environments to customize settings for different stages of your project and streamline the execution process by using software engineering principles. This page will detail the different types of environments and how to intuitively configure your development environment in dbt Cloud. import CloudEnvInfo from '/snippets/_cloud-environments-info.md'; diff --git a/website/static/img/dbt-env.png b/website/static/img/dbt-env.png new file mode 100644 index 0000000000000000000000000000000000000000..d4cf58d7824ba8a55d5315b032ef8d1d6e0b799c GIT binary patch literal 140016 zcmeFZXIN8N7e9)P2h)ZlBUg_)SxUQ1|w#NCG zY;@p&hs#l5mH&KZJ&phQ7x>%q`^)8jU0yn!cI@!-$#0HKhgWxADHwO1|z)V5B5v!SP(S|HhoP|NpuC9)#~Sa^U8>_GaUAuVyexm^RHQ11a*%8 z>ekX+>u25`p~Zq#ojLun?EHljEhWvn<(r%7@%;SvJY z-$k9n91dgkw0mtC%7N?#!{^r;}{Xvekij*FQIDAA?w)&b4hWcf>H@fHONv%%q zU$?C6iM>m**TgcIIi&7-pTt+t6W<>CYbu$WwiPygO{oLF!2t3>@!U%`UYK{pQN~>(2A6o|xs!{in8LfiB+b zg8!N$n|qdTQ2gcc_CQtMzne3ZSpL_H{7N_}emGEQ(A@p@*MuX~-yF5W_J>suqJy6w z@Q!NysqJuJhTOD&QJM}563F2L7L^bdbo-xY85mY-h6|38?+#|r8Uj@QkLH+T!+gMc zkS-Pf;uUbd+%51mU{1}9Glx%;HSH5sSfoxJw&dIyJmdj}=SS}X@yf5y+2ehOTV%L# 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zR?!705xg{?f7<2#{e{W#OP|MkA(w1tJDI#iQIqM&Td1Z!0Gp`Se9J~=lzAel>ty9c<|564Fg)^~xeA#x!f6H8D?9Z-rD_4x|hU0znFYo5w zZn(r)WZYcV+sSh7eCIr7&Sn#}b9<8lAblhNfh)xf%bWwrFqR(EKsae3P8-YNDq^IX zj6tbGzGf*(tqVbBRS53ErD8CcX-XlvzMQ=1o+#wB7mnxPV(hu|RLCoU8BPzt8H;Q) zonj%9U3uX}QrKjiUeB`AV6dRGq`^f$hgq--o7kj_+0^8G64h4oHSW~(<+8Fk?aPeN z@?~?n^(D6Mv&DYua473*s6gAprWnFYuJwGK+G5U)xqzpZLCYfZW(FC*+bc-=vC4Os z;&H6T*_?%B(rf0nfIAv-Se0UD%B0s zxE}DQ#LDh)MBBag&N`6vS7cN?K@Hqc{U@!8Mwy>+S>{r~8qK>tCFk@I@*=Kg3XkFo zxSdMbaX76g_BV1=Ik%(ReC2e|G8g>&nPT6>u=-HxIQHmB>`dhMc8K~W+) zt{9HG=|CH*fhMTr0!}-M&915MHTUt^jS_y*6!R$e6piYq#$Yv5Z~~k7MLo%y9k@cj z3;{IKF%xSbfL7ai5+zJQQX6|pJ4==6HVV!{&;bnp_V%=tNW}&VT;V_AQ!1(tDwePDo%)EbG5@iq60}0Lkp*6kr{6o zWSQcX(DwW|Iy@ddPpL1}P!_@Xuopv(N$9Da8@^6Wmpkm;;hfbr z$eBP~RRVXg{_|9*ANN4hKGxI+lA=VkW4!34mv1X5(0>EK%~BB<>^B#PS{O_d?1G_p zI{!Levi4sg#((dI|K$Syu}pix{D1pbZ_A>XFxbgoo&93tuLT18C1 Date: Wed, 16 Oct 2024 12:08:21 +0100 Subject: [PATCH 010/327] update ui elements --- styles/custom/UIElements.yml | 22 +++++++++++----------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/styles/custom/UIElements.yml b/styles/custom/UIElements.yml index f78a15af4b4..26c906845e7 100644 --- a/styles/custom/UIElements.yml +++ b/styles/custom/UIElements.yml @@ -3,15 +3,15 @@ extends: existence message: "UI elements like '%s' should be bold." level: warning tokens: - # Match UI elements that are not bolded (i.e., not within **), but exclude those starting a sentence or following a list number - - '(? Date: Thu, 17 Oct 2024 10:52:35 +0100 Subject: [PATCH 011/327] add ignorescope --- styles/custom/UIElements.yml | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/styles/custom/UIElements.yml b/styles/custom/UIElements.yml index 26c906845e7..6ca63af399c 100644 --- a/styles/custom/UIElements.yml +++ b/styles/custom/UIElements.yml @@ -14,4 +14,10 @@ tokens: - '(? Date: Thu, 17 Oct 2024 11:01:05 +0100 Subject: [PATCH 012/327] remove ignorescope --- styles/custom/UIElements.yml | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/styles/custom/UIElements.yml b/styles/custom/UIElements.yml index 6ca63af399c..fad710a78cb 100644 --- a/styles/custom/UIElements.yml +++ b/styles/custom/UIElements.yml @@ -14,10 +14,6 @@ tokens: - '(? Date: Thu, 17 Oct 2024 11:05:20 +0100 Subject: [PATCH 013/327] update --- styles/custom/UIElements.yml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/styles/custom/UIElements.yml b/styles/custom/UIElements.yml index fad710a78cb..d754705762e 100644 --- a/styles/custom/UIElements.yml +++ b/styles/custom/UIElements.yml @@ -14,6 +14,8 @@ tokens: - '(? Date: Thu, 17 Oct 2024 11:09:02 +0100 Subject: [PATCH 014/327] update --- styles/custom/UIElements.yml | 2 -- 1 file changed, 2 deletions(-) diff --git a/styles/custom/UIElements.yml b/styles/custom/UIElements.yml index d754705762e..254103a408a 100644 --- a/styles/custom/UIElements.yml +++ b/styles/custom/UIElements.yml @@ -16,6 +16,4 @@ tokens: scope: - summary - - text - \ No newline at end of file From 37b045e7240b8a6e3b04ddf69272696cfc36a9ac Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Thu, 17 Oct 2024 11:11:19 +0100 Subject: [PATCH 015/327] update --- styles/custom/UIElements.yml | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/styles/custom/UIElements.yml b/styles/custom/UIElements.yml index 254103a408a..a5f75ebd755 100644 --- a/styles/custom/UIElements.yml +++ b/styles/custom/UIElements.yml @@ -15,5 +15,6 @@ tokens: - '(? Date: Thu, 17 Oct 2024 11:11:42 +0100 Subject: [PATCH 016/327] update --- styles/custom/UIElements.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/styles/custom/UIElements.yml b/styles/custom/UIElements.yml index a5f75ebd755..2106383ac2f 100644 --- a/styles/custom/UIElements.yml +++ b/styles/custom/UIElements.yml @@ -18,3 +18,4 @@ scope: - raw - text - sentence + - paragraph From 0c445ae8114f69dfd5960009188378d73e3c9817 Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Thu, 17 Oct 2024 11:15:06 +0100 Subject: [PATCH 017/327] update --- styles/custom/UIElements.yml | 7 +------ 1 file changed, 1 insertion(+), 6 deletions(-) diff --git a/styles/custom/UIElements.yml b/styles/custom/UIElements.yml index 2106383ac2f..7a18ca1ecdb 100644 --- a/styles/custom/UIElements.yml +++ b/styles/custom/UIElements.yml @@ -1,4 +1,3 @@ -# styles/custom/BoldUIElements.yml extends: existence message: "UI elements like '%s' should be bold." level: warning @@ -14,8 +13,4 @@ tokens: - '(? Date: Thu, 17 Oct 2024 11:20:21 +0100 Subject: [PATCH 018/327] update --- styles/custom/UIElements.yml | 21 +++++++++------------ 1 file changed, 9 insertions(+), 12 deletions(-) diff --git a/styles/custom/UIElements.yml b/styles/custom/UIElements.yml index 7a18ca1ecdb..4533001df11 100644 --- a/styles/custom/UIElements.yml +++ b/styles/custom/UIElements.yml @@ -2,15 +2,12 @@ extends: existence message: "UI elements like '%s' should be bold." level: warning tokens: - # Match UI elements that are not bolded (i.e., not within **) - - '(? Date: Thu, 17 Oct 2024 11:23:38 +0100 Subject: [PATCH 019/327] update --- styles/custom/UIElements.yml | 22 +++++++++++++--------- 1 file changed, 13 insertions(+), 9 deletions(-) diff --git a/styles/custom/UIElements.yml b/styles/custom/UIElements.yml index 4533001df11..6fdc23a2bda 100644 --- a/styles/custom/UIElements.yml +++ b/styles/custom/UIElements.yml @@ -2,12 +2,16 @@ extends: existence message: "UI elements like '%s' should be bold." level: warning tokens: - - '^(?!\s*#).*?(? Date: Thu, 17 Oct 2024 11:35:25 +0100 Subject: [PATCH 020/327] update --- styles/custom/UIElements.yml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/styles/custom/UIElements.yml b/styles/custom/UIElements.yml index 6fdc23a2bda..ac941be90d9 100644 --- a/styles/custom/UIElements.yml +++ b/styles/custom/UIElements.yml @@ -12,6 +12,6 @@ tokens: - '(? Date: Thu, 17 Oct 2024 11:38:24 +0100 Subject: [PATCH 021/327] update --- styles/custom/UIElements.yml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/styles/custom/UIElements.yml b/styles/custom/UIElements.yml index ac941be90d9..09daa5abb83 100644 --- a/styles/custom/UIElements.yml +++ b/styles/custom/UIElements.yml @@ -13,5 +13,4 @@ tokens: - '(? Date: Thu, 17 Oct 2024 11:43:36 +0100 Subject: [PATCH 022/327] update --- styles/custom/UIElements.yml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/styles/custom/UIElements.yml b/styles/custom/UIElements.yml index 09daa5abb83..009a214b4c0 100644 --- a/styles/custom/UIElements.yml +++ b/styles/custom/UIElements.yml @@ -14,3 +14,5 @@ tokens: - '(? Date: Thu, 17 Oct 2024 11:47:56 +0100 Subject: [PATCH 023/327] update --- styles/custom/UIElements.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/styles/custom/UIElements.yml b/styles/custom/UIElements.yml index 009a214b4c0..85b75b3c9a0 100644 --- a/styles/custom/UIElements.yml +++ b/styles/custom/UIElements.yml @@ -15,4 +15,4 @@ tokens: - '(? Date: Thu, 17 Oct 2024 11:50:11 +0100 Subject: [PATCH 024/327] update --- styles/custom/UIElements.yml | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/styles/custom/UIElements.yml b/styles/custom/UIElements.yml index 85b75b3c9a0..80d8fadda08 100644 --- a/styles/custom/UIElements.yml +++ b/styles/custom/UIElements.yml @@ -15,4 +15,9 @@ tokens: - '(? Date: Thu, 17 Oct 2024 11:51:34 +0100 Subject: [PATCH 025/327] update --- styles/custom/UIElements.yml | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/styles/custom/UIElements.yml b/styles/custom/UIElements.yml index 80d8fadda08..a45b77ca94a 100644 --- a/styles/custom/UIElements.yml +++ b/styles/custom/UIElements.yml @@ -17,7 +17,4 @@ tokens: scope: - raw - - ~heading.h1 - - ~heading.h2 - - ~heading.h3 - - ~heading.h4 + - ~heading From ebbfc8313d8c3f5df9b7469454f719a51404bf0d Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Thu, 17 Oct 2024 11:52:41 +0100 Subject: [PATCH 026/327] update --- styles/custom/UIElements.yml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/styles/custom/UIElements.yml b/styles/custom/UIElements.yml index a45b77ca94a..ff9c5f86187 100644 --- a/styles/custom/UIElements.yml +++ b/styles/custom/UIElements.yml @@ -16,5 +16,4 @@ tokens: - '(? Date: Thu, 17 Oct 2024 10:00:51 -0400 Subject: [PATCH 027/327] add an example of separating semantic model (pure yaml) from dbt model (yaml, sql, python) --- .../semantic-layer-3-build-semantic-models.md | 64 ++++++++++++++++++- 1 file changed, 63 insertions(+), 1 deletion(-) diff --git a/website/docs/best-practices/how-we-build-our-metrics/semantic-layer-3-build-semantic-models.md b/website/docs/best-practices/how-we-build-our-metrics/semantic-layer-3-build-semantic-models.md index 7990cf6752f..8b90bcef97a 100644 --- a/website/docs/best-practices/how-we-build-our-metrics/semantic-layer-3-build-semantic-models.md +++ b/website/docs/best-practices/how-we-build-our-metrics/semantic-layer-3-build-semantic-models.md @@ -241,7 +241,9 @@ measures: ## Reviewing our work -Our completed code will look like this, our first semantic model! +Our completed code will look like this, our first semantic model! Here are two examples showing different organizational approaches: + +### Co-located approach @@ -289,6 +291,66 @@ semantic_models: agg: sum ``` +### Parallel subfoldering approach + + + +```yml +semantic_models: + - name: orders + defaults: + agg_time_dimension: ordered_at + description: | + Order fact table. This table is at the order grain with one row per order. + + model: ref('stg_orders') + + entities: + - name: order_id + type: primary + - name: location + type: foreign + expr: location_id + - name: customer + type: foreign + expr: customer_id + + dimensions: + - name: ordered_at + expr: date_trunc('day', ordered_at) + # use date_trunc(ordered_at, DAY) if using BigQuery + type: time + type_params: + time_granularity: day + - name: is_large_order + type: categorical + expr: case when order_total > 50 then true else false end + + measures: + - name: order_total + description: The total revenue for each order. + agg: sum + - name: order_count + description: The count of individual orders. + expr: 1 + agg: sum + - name: tax_paid + description: The total tax paid on each order. + agg: sum +``` + +As you can see, the content of the semantic model is identical in both approaches. The key differences are: + +1. **File location**: + - Co-located approach: `models/marts/orders.yml` + - Parallel subfoldering approach: `models/semantic_models/sem_orders.yml` + +2. **File naming**: + - Co-located approach: Uses the same name as the corresponding mart (`orders.yml`) + - Parallel subfoldering approach: Prefixes the file with `sem_` (`sem_orders.yml`) + +Choose the approach that best fits your project structure and team preferences. The co-located approach is often simpler for new projects, while the parallel subfoldering approach can be clearer for large existing projects being migrated to use the Semantic Layer. + ## Next steps Let's review the basics of semantic models: From 332db08b2a07f8eabb32cbdc6db2ff18a91bc365 Mon Sep 17 00:00:00 2001 From: Marcelo <34426867+marcelo-franceschini@users.noreply.github.com> Date: Thu, 17 Oct 2024 12:26:25 -0300 Subject: [PATCH 028/327] Update databricks-configs.md with compression algorithm --- website/docs/reference/resource-configs/databricks-configs.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/website/docs/reference/resource-configs/databricks-configs.md b/website/docs/reference/resource-configs/databricks-configs.md index eea03f2b196..9e1b3282801 100644 --- a/website/docs/reference/resource-configs/databricks-configs.md +++ b/website/docs/reference/resource-configs/databricks-configs.md @@ -35,6 +35,7 @@ When materializing a model as `table`, you may include several optional configs | clustered_by | Each partition in the created table will be split into a fixed number of buckets by the specified columns. | Optional | SQL, Python | `country_code` | | buckets | The number of buckets to create while clustering | Required if `clustered_by` is specified | SQL, Python | `8` | | tblproperties | [Tblproperties](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-tblproperties.html) to be set on the created table | Optional | SQL, Python* | `{'this.is.my.key': 12}` | +| compression | Set the compression algorithm. | Optional | SQL, Python | `zstd` | \* Beginning in 1.7.12, we have added tblproperties to Python models via an alter statement that runs after table creation. We do not yet have a PySpark API to set tblproperties at table creation, so this feature is primarily to allow users to anotate their python-derived tables with tblproperties. @@ -54,7 +55,8 @@ We do not yet have a PySpark API to set tblproperties at table creation, so this | clustered_by | Each partition in the created table will be split into a fixed number of buckets by the specified columns. | Optional | SQL, Python | `country_code` | | buckets | The number of buckets to create while clustering | Required if `clustered_by` is specified | SQL, Python | `8` | | tblproperties | [Tblproperties](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-tblproperties.html) to be set on the created table | Optional | SQL, Python* | `{'this.is.my.key': 12}` | -| databricks_tags | [Tags](https://docs.databricks.com/en/data-governance/unity-catalog/tags.html) to be set on the created table | Optional | SQL+, Python+ | `{'my_tag': 'my_value'}` | +| databricks_tags | [Tags](https://docs.databricks.com/en/data-governance/unity-catalog/tags.html) to be set on the created table | Optional | SQL+, Python+ | `{'my_tag': 'my_value'}` | +| compression | Set the compression algorithm. | Optional | SQL, Python | `zstd` | \* Beginning in 1.7.12, we have added tblproperties to Python models via an alter statement that runs after table creation. We do not yet have a PySpark API to set tblproperties at table creation, so this feature is primarily to allow users to anotate their python-derived tables with tblproperties. From 0604cd583a4435eaa84778209be01e9fcae2c6b9 Mon Sep 17 00:00:00 2001 From: Isabela Sobral <35778239+belasobral93@users.noreply.github.com> Date: Thu, 17 Oct 2024 10:35:48 -0700 Subject: [PATCH 029/327] Update advanced-ci.md (#6311) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit added instructions on how to turn on advanced CI ## What are you changing in this pull request and why? --- 🚀 Deployment available! Here are the direct links to the updated files: - https://docs-getdbt-com-git-belasobral93-patch-2-dbt-labs.vercel.app/docs/deploy/advanced-ci --------- Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com> --- website/docs/docs/deploy/advanced-ci.md | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/website/docs/docs/deploy/advanced-ci.md b/website/docs/docs/deploy/advanced-ci.md index 6213e475be6..e3f7cc7c9ae 100644 --- a/website/docs/docs/deploy/advanced-ci.md +++ b/website/docs/docs/deploy/advanced-ci.md @@ -7,7 +7,13 @@ description: "Advanced CI enables developers to compare changes by demonstrating # Advanced CI -[Continuous integration workflows](/docs/deploy/continuous-integration) help increase the governance and improve the quality of the data. Additionally for these CI jobs, you can use Advanced CI features, such as [compare changes](#compare-changes), that provide details about the changes between what's currently in your production environment and the pull request's latest commit, giving you observability into how data changes are affected by your code changes. By analyzing the data changes that code changes produce, you can ensure you're always shipping trustworthy data products as you're developing. +[Continuous integration workflows](/docs/deploy/continuous-integration) help increase the governance and improve the quality of the data. Additionally for these CI jobs, you can use Advanced CI features, such as [compare changes](#compare-changes), that provide details about the changes between what's currently in your production environment and the pull request's latest commit, giving you observability into how data changes are affected by your code changes. By analyzing the data changes that code changes produce, you can ensure you're always shipping trustworthy data products as you're developing. + +:::info How to enable this feature + +You can opt into Advanced CI in dbt Cloud. Please refer to [Account access to Advance CI features](/docs/cloud/account-settings#account-access-to-advanced-ci-features) to learn how enable it in your dbt Cloud account. + +::: :::tip More features dbt Labs plans to provide additional Advanced CI features in the near future. More info coming soon. From 26b663ac788756ceb7f8d314f900b07a411e964e Mon Sep 17 00:00:00 2001 From: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> Date: Thu, 17 Oct 2024 12:52:32 -0700 Subject: [PATCH 030/327] Model-level notifications (#6218) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## What are you changing in this pull request and why? Beta docs for model-level notifications - [x] New page - [x] Update sidebar so new page is below Job notifications page - [x] Add feature card to two landing pages ## Checklist - [x] I have reviewed the [Content style guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md) so my content adheres to these guidelines. - [x] The topic I'm writing about is for specific dbt version(s) and I have versioned it according to the [version a whole page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version) and/or [version a block of content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content) guidelines. - [x] Needs PM review ADDING PAGE (if so, uncomment): - [x] Add/remove page in `website/sidebars.js` - [x] Provide a unique filename for new pages --- 🚀 Deployment available! Here are the direct links to the updated files: - https://docs-getdbt-com-git-ly-docs-beta-model-notifications-dbt-labs.vercel.app/docs/deploy/deployment-overview - https://docs-getdbt-com-git-ly-docs-beta-model-notifications-dbt-labs.vercel.app/docs/deploy/model-notifications - https://docs-getdbt-com-git-ly-docs-beta-model-notifications-dbt-labs.vercel.app/docs/deploy/monitor-jobs --------- Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com> --- .../docs/docs/deploy/deployment-overview.md | 6 ++ .../docs/docs/deploy/model-notifications.md | 87 ++++++++++++++++++ website/docs/docs/deploy/monitor-jobs.md | 1 + website/sidebars.js | 1 + .../example-enable-model-notifications.png | Bin 0 -> 41733 bytes 5 files changed, 95 insertions(+) create mode 100644 website/docs/docs/deploy/model-notifications.md create mode 100644 website/static/img/docs/dbt-cloud/example-enable-model-notifications.png diff --git a/website/docs/docs/deploy/deployment-overview.md b/website/docs/docs/deploy/deployment-overview.md index 11575e6b0b7..9382634812f 100644 --- a/website/docs/docs/deploy/deployment-overview.md +++ b/website/docs/docs/deploy/deployment-overview.md @@ -79,6 +79,12 @@ Learn how to use dbt Cloud's features to help your team ship timely and quality link="/docs/deploy/job-notifications" icon="dbt-bit"/> + + + +Set up dbt to notify the appropriate model owners through email about issues as soon as they occur, while the job is still running. Model owners can specify which statuses to receive notifications about: + +- `Success` and `Fails` for models +- `Warning`, `Success`, and `Fails` for tests + +With model-level notifications, model owners can be the first ones to know about issues before anyone else (like the stakeholders). + +:::info Beta feature + +This feature is currently available in [beta](/docs/dbt-versions/product-lifecycles#dbt-cloud) to a limited group of users and is gradually being rolled out. If you're in the beta, please contact the Support team at support@getdbt.com for assistance or questions. + +::: + +To be timely and keep the number of notifications to a reasonable amount when multiple models or tests trigger them, dbt observes the following guidelines when notifying the owners: + +- Send a notification to each unique owner/email during a job run about any models (with status of failure/success) or tests (with status of warning/failure/success). Each owner receives only one notification, the initial one. +- Don't send any notifications about subsequent models or tests while a dbt job is still running. +- At the end of a job run, each owner receives a notification, for each of the statuses they specified to be notified about, with a list of models and tests that have that status. + +Create configuration YAML files in your project for dbt to send notifications about the status of your models and tests. + +## Prerequisites +- Your dbt Cloud administrator has [enabled the appropriate account setting](#enable-access-to-model-notifications) for you. +- Your environment(s) must be on ["Versionless"](/docs/dbt-versions/versionless-cloud). + + +## Configure groups + +Add your group configuration in either the `dbt_project.yml` or `groups.yml` file. For example: + +```yml +version: 2 + +groups: + - name: finance + description: "Models related to the finance department" + owner: + # 'name' or 'email' is required + name: "Finance Team" + email: finance@dbtlabs.com + slack: finance-data + + - name: marketing + description: "Models related to the marketing department" + owner: + name: "Marketing Team" + email: marketing@dbtlabs.com + slack: marketing-data +``` + +## Set up models + +Set up your model configuration in either the `dbt_project.yml` or `groups.yml` file; doing this automatically sets up notifications for tests, too. For example: + +```yml +version: 2 + +models: + - name: sales + description: "Sales data model" + config: + group: finance + + - name: campaigns + description: "Campaigns data model" + config: + group: marketing + +``` + +## Enable access to model notifications + +Provide dbt Cloud account members the ability to configure and receive alerts about issues with models or tests that are encountered during job runs. + +To use model-level notifications, your dbt Cloud account must have access to the feature. Ask your dbt Cloud administrator to enable this feature for account members by following these steps: + +1. Navigate to **Notification settings** from your profile name in the sidebar (lower left-hand side). +1. From **Email notications**, enable the setting **Enable group/owner notifications on models** under the **Model notifications** section. Then, specify which statuses to receive notifications about (Success, Warning, and/or Fails). + + diff --git a/website/docs/docs/deploy/monitor-jobs.md b/website/docs/docs/deploy/monitor-jobs.md index 8382743dd03..1cbba23161e 100644 --- a/website/docs/docs/deploy/monitor-jobs.md +++ b/website/docs/docs/deploy/monitor-jobs.md @@ -13,6 +13,7 @@ This portion of our documentation will go over dbt Cloud's various capabilities - [Run visibility](/docs/deploy/run-visibility) — View your run history to help identify where improvements can be made to scheduled jobs. - [Retry jobs](/docs/deploy/retry-jobs) — Rerun your errored jobs from start or the failure point. - [Job notifications](/docs/deploy/job-notifications) — Receive email or Slack notifications when a job run succeeds, encounters warnings, fails, or is canceled. +- [Model notifications](/docs/deploy/model-notifications) — Receive email notifications about any issues encountered by your models and tests as soon as they occur while running a job. - [Webhooks](/docs/deploy/webhooks) — Use webhooks to send events about your dbt jobs' statuses to other systems. - [Leverage artifacts](/docs/deploy/artifacts) — dbt Cloud generates and saves artifacts for your project, which it uses to power features like creating docs for your project and reporting freshness of your sources. - [Source freshness](/docs/deploy/source-freshness) — Monitor data governance by enabling snapshots to capture the freshness of your data sources. diff --git a/website/sidebars.js b/website/sidebars.js index d31f6d03f57..2178e4cd35a 100644 --- a/website/sidebars.js +++ b/website/sidebars.js @@ -499,6 +499,7 @@ const sidebarSettings = { "docs/deploy/run-visibility", "docs/deploy/retry-jobs", "docs/deploy/job-notifications", + "docs/deploy/model-notifications", "docs/deploy/webhooks", "docs/deploy/artifacts", "docs/deploy/source-freshness", diff --git a/website/static/img/docs/dbt-cloud/example-enable-model-notifications.png 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Fri, 18 Oct 2024 09:32:20 +0100 Subject: [PATCH 031/327] remove defer --- website/docs/docs/build/metricflow-commands.md | 2 -- website/docs/docs/cloud/about-cloud-develop-defer.md | 3 --- 2 files changed, 5 deletions(-) diff --git a/website/docs/docs/build/metricflow-commands.md b/website/docs/docs/build/metricflow-commands.md index 29a9e70acd4..d010cd8bb17 100644 --- a/website/docs/docs/build/metricflow-commands.md +++ b/website/docs/docs/build/metricflow-commands.md @@ -28,8 +28,6 @@ In dbt Cloud, run MetricFlow commands directly in the [dbt Cloud IDE](/docs/clou For dbt Cloud CLI users, MetricFlow commands are embedded in the dbt Cloud CLI, which means you can immediately run them once you install the dbt Cloud CLI and don't need to install MetricFlow separately. You don't need to manage versioning because your dbt Cloud account will automatically manage the versioning for you. - -Note: The **Defer to staging/production** [toggle](/docs/cloud/about-cloud-develop-defer#defer-in-the-dbt-cloud-ide) button doesn't apply when running Semantic Layer commands in the dbt Cloud IDE. To use defer for Semantic layer commands in the IDE, toggle the button on and manually add the `--defer` flag to the command. This is a temporary workaround and will be available soon. diff --git a/website/docs/docs/cloud/about-cloud-develop-defer.md b/website/docs/docs/cloud/about-cloud-develop-defer.md index 3ee5ac71666..fc55edf8a38 100644 --- a/website/docs/docs/cloud/about-cloud-develop-defer.md +++ b/website/docs/docs/cloud/about-cloud-develop-defer.md @@ -40,9 +40,6 @@ To enable defer in the dbt Cloud IDE, toggle the **Defer to production** button For example, if you were to start developing on a new branch with [nothing in your development schema](/reference/node-selection/defer#usage), edit a single model, and run `dbt build -s state:modified` — only the edited model would run. Any `{{ ref() }}` functions will point to the production location of the referenced models. - -Note: The **Defer to staging/production** toggle button doesn't apply when running [dbt Semantic Layer commands](/docs/build/metricflow-commands) in the dbt Cloud IDE. To use defer for Semantic layer commands in the IDE, toggle the button on and manually add the `--defer` flag to the command. This is a temporary workaround and will be available soon. - ### Defer in dbt Cloud CLI From a3ab24571e8a9c73c15c6d13cc9f102a02c5c55c Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 18 Oct 2024 09:40:26 +0100 Subject: [PATCH 032/327] Update model-query-history.md clarify option for ST for model query history --- website/docs/docs/collaborate/model-query-history.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/collaborate/model-query-history.md b/website/docs/docs/collaborate/model-query-history.md index 0f43c9b163f..0180757f980 100644 --- a/website/docs/docs/collaborate/model-query-history.md +++ b/website/docs/docs/collaborate/model-query-history.md @@ -25,7 +25,7 @@ So for example, if `model_super_santi` was queried 10 times in the past week, it To access the features, you should meet the following: -1. You have a dbt Cloud account on the [Enterprise plan](https://www.getdbt.com/pricing/). +1. You have a dbt Cloud account on the [Enterprise plan](https://www.getdbt.com/pricing/). Single-tenant accounts should contact their account representative for setup. 2. You have set up a [production](https://docs.getdbt.com/docs/deploy/deploy-environments#set-as-production-environment) deployment environment for each project you want to explore, with at least one successful job run. 3. You have [admin permissions](/docs/cloud/manage-access/enterprise-permissions) in dbt Cloud to edit project settings or production environment settings. 4. Use Snowflake or BigQuery as your data warehouse and can enable query history permissions or work with an admin to do so. Support for additional data platforms coming soon. From 189724053b70c5d2f030996088a4e4a942fd39d1 Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Fri, 18 Oct 2024 09:40:51 +0100 Subject: [PATCH 033/327] fix --- website/snippets/_v2-sl-prerequisites.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/snippets/_v2-sl-prerequisites.md b/website/snippets/_v2-sl-prerequisites.md index f8108849f4f..68f6e7d10b7 100644 --- a/website/snippets/_v2-sl-prerequisites.md +++ b/website/snippets/_v2-sl-prerequisites.md @@ -1,4 +1,4 @@ -- Have a dbt Cloud Team or Enterprise account. Single-tenant accounts should contact their account representative setup. +- Have a dbt Cloud Team or Enterprise account. Single-tenant accounts should contact their account representative for setup. - Ensure your production and development environments use [dbt version 1.6 or higher](/docs/dbt-versions/upgrade-dbt-version-in-cloud). - Use Snowflake, BigQuery, Databricks, or Redshift. - Create a successful run in the environment where you configure the Semantic Layer. From 843cfd6363a991d27cc4f32ea89bdc7bde5e87b5 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 18 Oct 2024 10:15:06 +0100 Subject: [PATCH 034/327] Update cumulative-metrics.md clarify different syntaxes for type_params::measure (shorthand and object syntax) raised in [internal slack thread](https://dbt-labs.slack.com/archives/C03KHQRQUBX/p1729214331646699) --- website/docs/docs/build/cumulative-metrics.md | 52 +++++++++++++------ 1 file changed, 36 insertions(+), 16 deletions(-) diff --git a/website/docs/docs/build/cumulative-metrics.md b/website/docs/docs/build/cumulative-metrics.md index 056ff79c6eb..e893eaf81b1 100644 --- a/website/docs/docs/build/cumulative-metrics.md +++ b/website/docs/docs/build/cumulative-metrics.md @@ -18,21 +18,21 @@ Note that we use the double colon (::) to indicate whether a parameter is nested -| Parameter |

| Type | -| --------- | ----------- | ---- | -| `name` | The name of the metric. | Required | -| `description` | The description of the metric. | Optional | -| `type` | The type of the metric (cumulative, derived, ratio, or simple). | Required | -| `label` | Required string that defines the display value in downstream tools. Accepts plain text, spaces, and quotes (such as `orders_total` or `"orders_total"`). | Required | -| `type_params` | The type parameters of the metric. Supports nested parameters indicated by the double colon, such as `type_params::measure`. | Required | -| `type_params::cumulative_type_params` | Allows you to add a `window`, `period_agg`, and `grain_to_date` configuration. Nested under `type_params`. | Optional | -| `cumulative_type_params::window` | The accumulation window, such as 1 month, 7 days, 1 year. This can't be used with `grain_to_date`. | Optional | -| `cumulative_type_params::grain_to_date` | Sets the accumulation grain, such as `month`, which will accumulate data for one month and then restart at the beginning of the next. This can't be used with `window`. | Optional | -| `cumulative_type_params::period_agg` | Specifies how to aggregate the cumulative metric when summarizing data to a different granularity. Can be used with grain_to_date. Options are
- `first` (Takes the first value within the period)
- `last` (Takes the last value within the period
- `average` (Calculates the average value within the period).

Defaults to `first` if no `window` is specified. | Optional | -| `type_params::measure` | A dictionary describing the measure you will use. | Required | -| `measure::name` | The measure you are referencing. | Optional | -| `measure::fill_nulls_with` | Set the value in your metric definition instead of null (such as zero). | Optional | -| `measure::join_to_timespine` | Boolean that indicates if the aggregated measure should be joined to the time spine table to fill in missing dates. Default `false`. | Optional | +| Parameter |
Description
| Type | +|-------------|---------------------------------------------------|-----------| +| `name` | The name of the metric. | Required | +| `description` | The description of the metric. | Optional | +| `type` | The type of the metric (cumulative, derived, ratio, or simple). | Required | +| `label` | Required string that defines the display value in downstream tools. Accepts plain text, spaces, and quotes (such as `orders_total` or `"orders_total"`). | Required | +| `type_params` | The type parameters of the metric. Supports nested parameters indicated by the double colon, such as `type_params::measure`. | Required | +| `type_params::measure` | The measure associated with the metric. Supports both shorthand (string) and object syntax. The shorthand is used if only the name is needed, while the object syntax allows specifying additional attributes. | Required | +| `measure::name` | The name of the measure being referenced. Required if using object syntax for `type_params::measure`. | Optional | +| `measure::fill_nulls_with` | Sets a value (e.g., zero) to replace nulls in the metric definition. | Optional | +| `measure::join_to_timespine` | Boolean indicating if the aggregated measure should be joined to the time spine table to fill in missing dates. Default is `false`. | Optional | +| `type_params::cumulative_type_params` | Allows configuration of attributes like `window`, `period_agg`, and `grain_to_date` for cumulative metrics. | Optional | +| `cumulative_type_params::window` | Specifies the accumulation window, such as 1 month, 7 days, or 1 year. Cannot be used with `grain_to_date`. | Optional | +| `cumulative_type_params::grain_to_date` | Sets the accumulation grain, such as `month`, restarting accumulation at the beginning of each specified grain period. Cannot be used with `window`. | Optional | +| `cumulative_type_params::period_agg` | Defines how to aggregate the cumulative metric when summarizing data to a different granularity: `first`, `last`, or `average`. Defaults to `first` if `window` is not specified. | Optional | @@ -48,12 +48,32 @@ Note that we use the double colon (::) to indicate whether a parameter is nested | `window` | The accumulation window, such as 1 month, 7 days, 1 year. This can't be used with `grain_to_date`. | Optional | | `grain_to_date` | Sets the accumulation grain, such as `month`, which will accumulate data for one month and then restart at the beginning of the next. This can't be used with `window`. | Optional | | `type_params::measure` | A list of measure inputs | Required | -| `measure:name` | The measure you are referencing. | Optional | +| `measure:name` | The name of the measure being referenced. Required if using object syntax for `type_params::measure`. | Optional | | `measure:fill_nulls_with` | Set the value in your metric definition instead of null (such as zero).| Optional | | `measure:join_to_timespine` | Boolean that indicates if the aggregated measure should be joined to the time spine table to fill in missing dates. Default `false`. | Optional | + + +When reading about `type_params::measure`, you may notice there are different ways of writing it: +- Shorthand syntax — To only specify the name of the measure, use a simple string value. This is a shorthand approach when no other attributes are required. +``` +yaml +type_params: + measure: revenue +``` +- Object syntax — To add more details or attributes to the measure (such as adding a filter, handling `null` values, or specifying whether to join to a time spine), you must use the object syntax. This allows for additional configuration beyond just the measure's name. +``` +yaml +type_params: + measure: + name: order_total + fill_nulls_with: 0 + join_to_timespine: true +``` + + ### Complete specification The following displays the complete specification for cumulative metrics, along with an example: From 4ceb73ac0527d363dd5cf75cb02dd31a8911d1c2 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 18 Oct 2024 10:20:58 +0100 Subject: [PATCH 035/327] Update website/docs/docs/build/cumulative-metrics.md --- website/docs/docs/build/cumulative-metrics.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/cumulative-metrics.md b/website/docs/docs/build/cumulative-metrics.md index e893eaf81b1..32f598d364a 100644 --- a/website/docs/docs/build/cumulative-metrics.md +++ b/website/docs/docs/build/cumulative-metrics.md @@ -18,7 +18,7 @@ Note that we use the double colon (::) to indicate whether a parameter is nested -| Parameter |
Description
| Type | +| Parameter |
Description
| Type | |-------------|---------------------------------------------------|-----------| | `name` | The name of the metric. | Required | | `description` | The description of the metric. | Optional | From 30933651d62c635a6d55b24b38f84cb0da72aa57 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 18 Oct 2024 10:32:43 +0100 Subject: [PATCH 036/327] Update cumulative-metrics.md --- website/docs/docs/build/cumulative-metrics.md | 26 +++++++++---------- 1 file changed, 12 insertions(+), 14 deletions(-) diff --git a/website/docs/docs/build/cumulative-metrics.md b/website/docs/docs/build/cumulative-metrics.md index 32f598d364a..299de4cae53 100644 --- a/website/docs/docs/build/cumulative-metrics.md +++ b/website/docs/docs/build/cumulative-metrics.md @@ -1,6 +1,5 @@ --- title: "Cumulative metrics" -id: cumulative description: "Use Cumulative metrics to aggregate a measure over a given window." sidebar_label: Cumulative tags: [Metrics, Semantic Layer] @@ -58,20 +57,19 @@ Note that we use the double colon (::) to indicate whether a parameter is nested When reading about `type_params::measure`, you may notice there are different ways of writing it: - Shorthand syntax — To only specify the name of the measure, use a simple string value. This is a shorthand approach when no other attributes are required. -``` -yaml -type_params: - measure: revenue -``` + ```yaml + type_params: + measure: revenue + ``` - Object syntax — To add more details or attributes to the measure (such as adding a filter, handling `null` values, or specifying whether to join to a time spine), you must use the object syntax. This allows for additional configuration beyond just the measure's name. -``` -yaml -type_params: - measure: - name: order_total - fill_nulls_with: 0 - join_to_timespine: true -``` + + ```yaml + type_params: + measure: + name: order_total + fill_nulls_with: 0 + join_to_timespine: true + ``` ### Complete specification From 935150ac364f39fd5e0c004d57c92d5bce210aeb Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 18 Oct 2024 10:41:45 +0100 Subject: [PATCH 037/327] Update cumulative-metrics.md --- website/docs/docs/build/cumulative-metrics.md | 1 + 1 file changed, 1 insertion(+) diff --git a/website/docs/docs/build/cumulative-metrics.md b/website/docs/docs/build/cumulative-metrics.md index 299de4cae53..66018461704 100644 --- a/website/docs/docs/build/cumulative-metrics.md +++ b/website/docs/docs/build/cumulative-metrics.md @@ -1,5 +1,6 @@ --- title: "Cumulative metrics" +id: cumulative description: "Use Cumulative metrics to aggregate a measure over a given window." sidebar_label: Cumulative tags: [Metrics, Semantic Layer] From cde56a9256da9ae1ba3c7858b475382c6f6877df Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 18 Oct 2024 11:10:47 +0100 Subject: [PATCH 038/327] Update semantic-layer-3-build-semantic-models.md --- .../semantic-layer-3-build-semantic-models.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/website/docs/best-practices/how-we-build-our-metrics/semantic-layer-3-build-semantic-models.md b/website/docs/best-practices/how-we-build-our-metrics/semantic-layer-3-build-semantic-models.md index 8b90bcef97a..efb3c64ac62 100644 --- a/website/docs/best-practices/how-we-build-our-metrics/semantic-layer-3-build-semantic-models.md +++ b/website/docs/best-practices/how-we-build-our-metrics/semantic-layer-3-build-semantic-models.md @@ -291,7 +291,7 @@ semantic_models: agg: sum ``` -### Parallel subfoldering approach +### Parallel sub-folder approach @@ -341,15 +341,15 @@ semantic_models: As you can see, the content of the semantic model is identical in both approaches. The key differences are: -1. **File location**: +1. **File location** - Co-located approach: `models/marts/orders.yml` - - Parallel subfoldering approach: `models/semantic_models/sem_orders.yml` + - Parallel sub-folder approach: `models/semantic_models/sem_orders.yml` -2. **File naming**: +2. **File naming** - Co-located approach: Uses the same name as the corresponding mart (`orders.yml`) - - Parallel subfoldering approach: Prefixes the file with `sem_` (`sem_orders.yml`) + - Parallel sub-folder approach: Prefixes the file with `sem_` (`sem_orders.yml`) -Choose the approach that best fits your project structure and team preferences. The co-located approach is often simpler for new projects, while the parallel subfoldering approach can be clearer for large existing projects being migrated to use the Semantic Layer. +Choose the approach that best fits your project structure and team preferences. The co-located approach is often simpler for new projects, while the parallel sub-folder approach can be clearer for migrating large existing projects to the Semantic Layer. ## Next steps From eed19df7eb7a8f8c3f389457dbc6df4da35faa16 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 18 Oct 2024 11:15:24 +0100 Subject: [PATCH 039/327] Update semantic-layer-3-build-semantic-models.md --- .../semantic-layer-3-build-semantic-models.md | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/website/docs/best-practices/how-we-build-our-metrics/semantic-layer-3-build-semantic-models.md b/website/docs/best-practices/how-we-build-our-metrics/semantic-layer-3-build-semantic-models.md index efb3c64ac62..da882dba6c5 100644 --- a/website/docs/best-practices/how-we-build-our-metrics/semantic-layer-3-build-semantic-models.md +++ b/website/docs/best-practices/how-we-build-our-metrics/semantic-layer-3-build-semantic-models.md @@ -243,7 +243,7 @@ measures: Our completed code will look like this, our first semantic model! Here are two examples showing different organizational approaches: -### Co-located approach + @@ -290,8 +290,9 @@ semantic_models: description: The total tax paid on each order. agg: sum ``` + -### Parallel sub-folder approach + @@ -338,6 +339,7 @@ semantic_models: description: The total tax paid on each order. agg: sum ``` + As you can see, the content of the semantic model is identical in both approaches. The key differences are: From 61529628cb65b43ea5bba9a5c566e4ff386ef667 Mon Sep 17 00:00:00 2001 From: Natalie Fiann Date: Fri, 18 Oct 2024 11:20:20 +0100 Subject: [PATCH 040/327] Updated docs to add section on fail-over to production and staging ennvironment / resolve refs in dowstream projects --- .../docs/docs/collaborate/govern/project-dependencies.md | 6 +++++- website/docs/guides/mesh-qs.md | 2 ++ 2 files changed, 7 insertions(+), 1 deletion(-) diff --git a/website/docs/docs/collaborate/govern/project-dependencies.md b/website/docs/docs/collaborate/govern/project-dependencies.md index 2e73eee028b..55a50627610 100644 --- a/website/docs/docs/collaborate/govern/project-dependencies.md +++ b/website/docs/docs/collaborate/govern/project-dependencies.md @@ -21,6 +21,7 @@ This year, dbt Labs is introducing an expanded notion of `dependencies` across m - Use a supported version of dbt (v1.6, v1.7, or go versionless with "[Versionless](/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless)") for both the upstream ("producer") project and the downstream ("consumer") project. - Define models in an upstream ("producer") project that are configured with [`access: public`](/reference/resource-configs/access). You need at least one successful job run after defining their `access`. - Define a deployment environment in the upstream ("producer") project [that is set to be your Production environment](/docs/deploy/deploy-environments#set-as-production-environment), and ensure it has at least one successful job run in that environment. +- Execute a job in the staging environment of the upstream project in order for the downstream cross-project ref to resolve. - Each project `name` must be unique in your dbt Cloud account. For example, if you have a dbt project (codebase) for the `jaffle_marketing` team, you should not create separate projects for `Jaffle Marketing - Dev` and `Jaffle Marketing - Prod`. That isolation should instead be handled at the environment level. - We are adding support for environment-level permissions and data warehouse connections; please contact your dbt Labs account team for beta access. - The `dbt_project.yml` file is case-sensitive, which means the project name must exactly match the name in your `dependencies.yml`. For example, if your project name is `jaffle_marketing`, you should use `jaffle_marketing` (not `JAFFLE_MARKETING`) in all related files. @@ -110,7 +111,10 @@ Read [Why use a staging environment](/docs/deploy/deploy-environments#why-use-a- #### Staging with downstream dependencies -dbt Cloud begins using the Staging environment to resolve cross-project references from downstream projects as soon as it exists in a project without "fail-over" to Production. To avoid causing downtime for downstream developers, you should define and trigger a job before marking the environment as Staging: +dbt Cloud begins using the Staging environment to resolve cross-project references from downstream projects as soon as it exists in a project without "fail-over" to Production. This means that dbt Cloud will consistently use metadata from the Staging environment to resolve references in downstream projects, even if there haven't been any successful runs in the configured Staging environment. + +To avoid causing downtime for downstream developers, you should define and trigger a job before marking the environment as Staging: + 1. Create a new environment, but do NOT mark it as **Staging**. 2. Define a job in that environment. 3. Trigger the job to run, and ensure it completes successfully. diff --git a/website/docs/guides/mesh-qs.md b/website/docs/guides/mesh-qs.md index 0d13d043059..47ece7b29ec 100644 --- a/website/docs/guides/mesh-qs.md +++ b/website/docs/guides/mesh-qs.md @@ -300,6 +300,8 @@ To run your first deployment dbt Cloud job, you will need to create a new dbt Cl 5. After the run is complete, click **Explore** from the upper menu bar. You should now see your lineage, tests, and documentation coming through successfully. +For details on how dbt Cloud uses metadata from the Staging environment to resolve references in downstream projects, check out the section on [Staging with downstream dependencies](/docs/collaborate/govern/project-dependencies#staging-with-downstream-dependencies). + ## Reference a public model in your downstream project In this section, you will set up the downstream project, "Jaffle | Finance", and [cross-project reference](/docs/collaborate/govern/project-dependencies) the `fct_orders` model from the foundational project. Navigate to the **Develop** page to set up our project: From 73a926ad264dc98414ef646a721bf9ead9c5115d Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 18 Oct 2024 11:34:52 +0100 Subject: [PATCH 041/327] Update website/docs/docs/collaborate/govern/project-dependencies.md Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> --- website/docs/docs/collaborate/govern/project-dependencies.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/collaborate/govern/project-dependencies.md b/website/docs/docs/collaborate/govern/project-dependencies.md index 55a50627610..c054d1b27b7 100644 --- a/website/docs/docs/collaborate/govern/project-dependencies.md +++ b/website/docs/docs/collaborate/govern/project-dependencies.md @@ -21,7 +21,7 @@ This year, dbt Labs is introducing an expanded notion of `dependencies` across m - Use a supported version of dbt (v1.6, v1.7, or go versionless with "[Versionless](/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless)") for both the upstream ("producer") project and the downstream ("consumer") project. - Define models in an upstream ("producer") project that are configured with [`access: public`](/reference/resource-configs/access). You need at least one successful job run after defining their `access`. - Define a deployment environment in the upstream ("producer") project [that is set to be your Production environment](/docs/deploy/deploy-environments#set-as-production-environment), and ensure it has at least one successful job run in that environment. -- Execute a job in the staging environment of the upstream project in order for the downstream cross-project ref to resolve. +- If the upstream project has a Staging environment, run a job in that Staging environment to ensure the downstream cross-project ref resolves. - Each project `name` must be unique in your dbt Cloud account. For example, if you have a dbt project (codebase) for the `jaffle_marketing` team, you should not create separate projects for `Jaffle Marketing - Dev` and `Jaffle Marketing - Prod`. That isolation should instead be handled at the environment level. - We are adding support for environment-level permissions and data warehouse connections; please contact your dbt Labs account team for beta access. - The `dbt_project.yml` file is case-sensitive, which means the project name must exactly match the name in your `dependencies.yml`. For example, if your project name is `jaffle_marketing`, you should use `jaffle_marketing` (not `JAFFLE_MARKETING`) in all related files. From a003e39b223fd5c5b8c151b340c198d7b46d696d Mon Sep 17 00:00:00 2001 From: john-rock Date: Fri, 18 Oct 2024 08:52:11 -0400 Subject: [PATCH 042/327] update sentence case --- website/src/components/quickstartGuideList/index.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/src/components/quickstartGuideList/index.js b/website/src/components/quickstartGuideList/index.js index 3b3623f1e14..2b87ae3e4a1 100644 --- a/website/src/components/quickstartGuideList/index.js +++ b/website/src/components/quickstartGuideList/index.js @@ -102,7 +102,7 @@ function QuickstartList({ quickstartData }) { // The value of the tag must match a tag in the frontmatter of the guides in order for the filter to apply after clicking const heroCTAs = [ { - title: 'Quickstart Guides', + title: 'Quickstart guides', value: 'Quickstart' }, { From 72ec8bcef1a69cf68cb1b612b009edd6a95c7d7c Mon Sep 17 00:00:00 2001 From: john-rock Date: Fri, 18 Oct 2024 08:57:45 -0400 Subject: [PATCH 043/327] update button color --- website/src/components/hero/styles.module.css | 1 + 1 file changed, 1 insertion(+) diff --git a/website/src/components/hero/styles.module.css b/website/src/components/hero/styles.module.css index d654db2908d..67d3c8c5d68 100644 --- a/website/src/components/hero/styles.module.css +++ b/website/src/components/hero/styles.module.css @@ -77,5 +77,6 @@ .callToAction:hover, .callToAction:active, .callToAction:focus { text-decoration: none; outline: rgb(4, 115, 119) solid 1px; + background-color: rgb(4, 115, 119); color: #fff; } From cdf3afa6c844093e93d481885afab2b6562f4ba3 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 18 Oct 2024 15:04:56 +0100 Subject: [PATCH 044/327] Update website/docs/docs/build/cumulative-metrics.md --- website/docs/docs/build/cumulative-metrics.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/cumulative-metrics.md b/website/docs/docs/build/cumulative-metrics.md index 66018461704..1e17bc17a1e 100644 --- a/website/docs/docs/build/cumulative-metrics.md +++ b/website/docs/docs/build/cumulative-metrics.md @@ -62,7 +62,7 @@ When reading about `type_params::measure`, you may notice there are different wa type_params: measure: revenue ``` -- Object syntax — To add more details or attributes to the measure (such as adding a filter, handling `null` values, or specifying whether to join to a time spine), you must use the object syntax. This allows for additional configuration beyond just the measure's name. +- Object syntax — To add more details or attributes to the measure (such as adding a filter, handling `null` values, or specifying whether to join to a time spine), you need to use the object syntax. This allows for additional configuration beyond just the measure's name. ```yaml type_params: From 09297654f056194871a554ebf127abe6d7bc104c Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 18 Oct 2024 15:19:35 +0100 Subject: [PATCH 045/327] Update website/docs/docs/build/cumulative-metrics.md Co-authored-by: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> --- website/docs/docs/build/cumulative-metrics.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/cumulative-metrics.md b/website/docs/docs/build/cumulative-metrics.md index 1e17bc17a1e..42f1e66fd22 100644 --- a/website/docs/docs/build/cumulative-metrics.md +++ b/website/docs/docs/build/cumulative-metrics.md @@ -29,7 +29,7 @@ Note that we use the double colon (::) to indicate whether a parameter is nested | `measure::name` | The name of the measure being referenced. Required if using object syntax for `type_params::measure`. | Optional | | `measure::fill_nulls_with` | Sets a value (e.g., zero) to replace nulls in the metric definition. | Optional | | `measure::join_to_timespine` | Boolean indicating if the aggregated measure should be joined to the time spine table to fill in missing dates. Default is `false`. | Optional | -| `type_params::cumulative_type_params` | Allows configuration of attributes like `window`, `period_agg`, and `grain_to_date` for cumulative metrics. | Optional | +| `type_params::cumulative_type_params` | Configures the attributes like `window`, `period_agg`, and `grain_to_date` for cumulative metrics. | Optional | | `cumulative_type_params::window` | Specifies the accumulation window, such as 1 month, 7 days, or 1 year. Cannot be used with `grain_to_date`. | Optional | | `cumulative_type_params::grain_to_date` | Sets the accumulation grain, such as `month`, restarting accumulation at the beginning of each specified grain period. Cannot be used with `window`. | Optional | | `cumulative_type_params::period_agg` | Defines how to aggregate the cumulative metric when summarizing data to a different granularity: `first`, `last`, or `average`. Defaults to `first` if `window` is not specified. | Optional | From 2e95ae76896b46ddefbf37d728de50d21d586089 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 18 Oct 2024 15:19:45 +0100 Subject: [PATCH 046/327] Update website/docs/docs/build/cumulative-metrics.md Co-authored-by: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> --- website/docs/docs/build/cumulative-metrics.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/cumulative-metrics.md b/website/docs/docs/build/cumulative-metrics.md index 42f1e66fd22..9b1b95e7eba 100644 --- a/website/docs/docs/build/cumulative-metrics.md +++ b/website/docs/docs/build/cumulative-metrics.md @@ -56,7 +56,7 @@ Note that we use the double colon (::) to indicate whether a parameter is nested -When reading about `type_params::measure`, you may notice there are different ways of writing it: +The`type_params::measure` configuration can be written in different ways: - Shorthand syntax — To only specify the name of the measure, use a simple string value. This is a shorthand approach when no other attributes are required. ```yaml type_params: From f8514b4033a1ab69ca9007b6aa17fbdc269d390f Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 18 Oct 2024 15:20:19 +0100 Subject: [PATCH 047/327] Update website/docs/docs/build/cumulative-metrics.md Co-authored-by: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> --- website/docs/docs/build/cumulative-metrics.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/cumulative-metrics.md b/website/docs/docs/build/cumulative-metrics.md index 9b1b95e7eba..acdf4fb380c 100644 --- a/website/docs/docs/build/cumulative-metrics.md +++ b/website/docs/docs/build/cumulative-metrics.md @@ -27,7 +27,7 @@ Note that we use the double colon (::) to indicate whether a parameter is nested | `type_params` | The type parameters of the metric. Supports nested parameters indicated by the double colon, such as `type_params::measure`. | Required | | `type_params::measure` | The measure associated with the metric. Supports both shorthand (string) and object syntax. The shorthand is used if only the name is needed, while the object syntax allows specifying additional attributes. | Required | | `measure::name` | The name of the measure being referenced. Required if using object syntax for `type_params::measure`. | Optional | -| `measure::fill_nulls_with` | Sets a value (e.g., zero) to replace nulls in the metric definition. | Optional | +| `measure::fill_nulls_with` | Sets a value (for example, zero) to replace nulls in the metric definition. | Optional | | `measure::join_to_timespine` | Boolean indicating if the aggregated measure should be joined to the time spine table to fill in missing dates. Default is `false`. | Optional | | `type_params::cumulative_type_params` | Configures the attributes like `window`, `period_agg`, and `grain_to_date` for cumulative metrics. | Optional | | `cumulative_type_params::window` | Specifies the accumulation window, such as 1 month, 7 days, or 1 year. Cannot be used with `grain_to_date`. | Optional | From 56d7c1b4ac4ad832e50e2af3c94fc0c174c57420 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Fri, 18 Oct 2024 10:36:12 -0400 Subject: [PATCH 048/327] Updating licenses, access, and RBAC (#6310) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## What are you changing in this pull request and why? - Updates RBAC links - Removes stale page - Updates permissions specific links (they just go to the main page anyway) - Cut back on the service tokens permissions list as it was inconsistent and linking to areas that don't exist. Updated to link to the permissions page at the top ## Checklist - [ ] I have reviewed the [Content style guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md) so my content adheres to these guidelines. - [ ] The topic I'm writing about is for specific dbt version(s) and I have versioned it according to the [version a whole page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version) and/or [version a block of content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content) guidelines. - [ ] I have added checklist item(s) to this list for anything anything that needs to happen before this PR is merged, such as "needs technical review" or "change base branch." --- 🚀 Deployment available! Here are the direct links to the updated files: - https://docs-getdbt-com-git-cleanup-access-dbt-labs.vercel.app/best-practices/how-we-mesh/mesh-5-faqs - https://docs-getdbt-com-git-cleanup-access-dbt-labs.vercel.app/docs/cloud/about-cloud/architecture - https://docs-getdbt-com-git-cleanup-access-dbt-labs.vercel.app/docs/cloud/manage-access/about-access - https://docs-getdbt-com-git-cleanup-access-dbt-labs.vercel.app/docs/cloud/manage-access/cloud-seats-and-users - https://docs-getdbt-com-git-cleanup-access-dbt-labs.vercel.app/docs/cloud/manage-access/enterprise-permissions - https://docs-getdbt-com-git-cleanup-access-dbt-labs.vercel.app/docs/cloud/manage-access/environment-permissions - https://docs-getdbt-com-git-cleanup-access-dbt-labs.vercel.app/docs/cloud/manage-access/licenses-and-groups - https://docs-getdbt-com-git-cleanup-access-dbt-labs.vercel.app/docs/cloud/manage-access/set-up-sso-google-workspace - https://docs-getdbt-com-git-cleanup-access-dbt-labs.vercel.app/docs/cloud/manage-access/set-up-sso-okta - https://docs-getdbt-com-git-cleanup-access-dbt-labs.vercel.app/docs/dbt-cloud-apis/service-tokens - https://docs-getdbt-com-git-cleanup-access-dbt-labs.vercel.app/docs/deploy/webhooks --------- Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com> --- .../best-practices/how-we-mesh/mesh-5-faqs.md | 2 +- .../docs/cloud/about-cloud/architecture.md | 2 +- .../docs/cloud/manage-access/about-access.md | 2 +- .../manage-access/cloud-seats-and-users.md | 2 +- .../manage-access/enterprise-permissions.md | 18 +-- .../manage-access/environment-permissions.md | 2 +- .../manage-access/licenses-and-groups.md | 145 ------------------ .../set-up-sso-google-workspace.md | 2 +- .../cloud/manage-access/set-up-sso-okta.md | 2 +- .../docs/dbt-cloud-apis/service-tokens.md | 96 ++++-------- website/docs/docs/deploy/webhooks.md | 2 +- 11 files changed, 39 insertions(+), 236 deletions(-) delete mode 100644 website/docs/docs/cloud/manage-access/licenses-and-groups.md diff --git a/website/docs/best-practices/how-we-mesh/mesh-5-faqs.md b/website/docs/best-practices/how-we-mesh/mesh-5-faqs.md index 1ae49928ae5..9f12f7d2c20 100644 --- a/website/docs/best-practices/how-we-mesh/mesh-5-faqs.md +++ b/website/docs/best-practices/how-we-mesh/mesh-5-faqs.md @@ -215,7 +215,7 @@ There’s model-level access within dbt, role-based access for users and groups First things first: access to underlying data is always defined and enforced by the underlying data platform (for example, BigQuery, Databricks, Redshift, Snowflake, Starburst, etc.) This access is managed by executing “DCL statements” (namely `grant`). dbt makes it easy to [configure `grants` on models](/reference/resource-configs/grants), which provision data access for other roles/users/groups in the data warehouse. However, dbt does _not_ automatically define or coordinate those grants unless they are configured explicitly. Refer to your organization's system for managing data warehouse permissions. -[dbt Cloud Enterprise plans](https://www.getdbt.com/pricing) support [role-based access control (RBAC)](/docs/cloud/manage-access/enterprise-permissions#how-to-set-up-rbac-groups-in-dbt-cloud) that manages granular permissions for users and user groups. You can control which users can see or edit all aspects of a dbt Cloud project. A user’s access to dbt Cloud projects also determines whether they can “explore” that project in detail. Roles, users, and groups are defined within the dbt Cloud application via the UI or by integrating with an identity provider. +[dbt Cloud Enterprise plans](https://www.getdbt.com/pricing) support [role-based access control (RBAC)](/docs/cloud/manage-access/about-user-access#role-based-access-control-) that manages granular permissions for users and user groups. You can control which users can see or edit all aspects of a dbt Cloud project. A user’s access to dbt Cloud projects also determines whether they can “explore” that project in detail. Roles, users, and groups are defined within the dbt Cloud application via the UI or by integrating with an identity provider. [Model access](/docs/collaborate/govern/model-access) defines where models can be referenced. It also informs the discoverability of those projects within dbt Explorer. Model `access` is defined in code, just like any other model configuration (`materialized`, `tags`, etc). diff --git a/website/docs/docs/cloud/about-cloud/architecture.md b/website/docs/docs/cloud/about-cloud/architecture.md index 52614f0cbcd..ecf67b83a96 100644 --- a/website/docs/docs/cloud/about-cloud/architecture.md +++ b/website/docs/docs/cloud/about-cloud/architecture.md @@ -48,7 +48,7 @@ The git repo information is stored on dbt Cloud servers to make it accessible du ### Authentication services -The default settings of dbt Cloud enable local users with credentials stored in dbt Cloud. Still, integrations with various authentication services are offered as an alternative, including [single sign-on services](/docs/cloud/manage-access/sso-overview). Access to features can be granted/restricted by role using [RBAC](/docs/cloud/manage-access/enterprise-permissions). +The default settings of dbt Cloud enable local users with credentials stored in dbt Cloud. Still, integrations with various authentication services are offered as an alternative, including [single sign-on services](/docs/cloud/manage-access/sso-overview). Access to features can be granted/restricted by role using [RBAC](/docs/cloud/manage-access/about-user-access#role-based-access-control-). SSO features are essential because they reduce the number of credentials a user must maintain. Users sign in once and the authentication token is shared among integrated services (such as dbt Cloud). The token expires and must be refreshed at predetermined intervals, requiring the user to go through the authentication process again. If the user is disabled in the SSO provider service, their access to dbt Cloud is disabled, and they cannot override this with local auth credentials. diff --git a/website/docs/docs/cloud/manage-access/about-access.md b/website/docs/docs/cloud/manage-access/about-access.md index 6b02d9eb17b..b970b0d5763 100644 --- a/website/docs/docs/cloud/manage-access/about-access.md +++ b/website/docs/docs/cloud/manage-access/about-access.md @@ -89,7 +89,7 @@ There are three license types in dbt Cloud: - **Developer** — User can be granted _any_ permissions. - **Read-Only** — User has read-only permissions applied to all dbt Cloud resources regardless of the role-based permissions that the user is assigned. -- **IT** — User has [Security Admin](/docs/cloud/manage-access/enterprise-permissions#security-admin) and [Billing Admin](/docs/cloud/manage-access/enterprise-permissions#billing-admin) permissions applied, regardless of the group permissions assigned. +- **IT** — User has Security Admin and Billing Admin [permissions](/docs/cloud/manage-access/enterprise-permissions) applied, regardless of the group permissions assigned. Developer licenses will make up a majority of the users in your environment and have the highest impact on billing, so it's important to monitor how many you have at any given time. diff --git a/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md b/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md index da19f30ab4c..66d821b90d0 100644 --- a/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md +++ b/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md @@ -55,7 +55,7 @@ If you're on an Enterprise plan and have the correct [permissions](/docs/cloud/m - To add a user, go to **Account Settings** and select **Users**. - Click the [**Invite Users**](/docs/cloud/manage-access/invite-users) button. - - For fine-grained permission configuration, refer to [Role based access control](/docs/cloud/manage-access/enterprise-permissions). + - For fine-grained permission configuration, refer to [Role based access control](/docs/cloud/manage-access/about-user-access#role-based-access-control-). diff --git a/website/docs/docs/cloud/manage-access/enterprise-permissions.md b/website/docs/docs/cloud/manage-access/enterprise-permissions.md index a1f6d795c23..5a56900d529 100644 --- a/website/docs/docs/cloud/manage-access/enterprise-permissions.md +++ b/website/docs/docs/cloud/manage-access/enterprise-permissions.md @@ -22,22 +22,14 @@ The following roles and permission sets are available for assignment in dbt Clou :::tip Licenses or Permission sets -The user's [license](/docs/cloud/manage-access/seats-and-users) type always overrides their assigned permission set. This means that even if a user belongs to a dbt Cloud group with 'Account Admin' permissions, having a 'Read-Only' license would still prevent them from performing administrative actions on the account. +The user's [license](/docs/cloud/manage-access/about-user-access) type always overrides their assigned permission set. This means that even if a user belongs to a dbt Cloud group with 'Account Admin' permissions, having a 'Read-Only' license would still prevent them from performing administrative actions on the account. ::: -## How to set up RBAC Groups in dbt Cloud +## Additional resources -Role-Based Access Control (RBAC) is helpful for automatically assigning permissions to dbt admins based on their SSO provider group associations. RBAC does not apply to [model groups](/docs/collaborate/govern/model-access#groups). +- [Grant users access](/docs/cloud/manage-access/about-user-access#grant-access) +- [Role-based access control](/docs/cloud/manage-access/about-user-access#role-based-access-control-) +- [Environment-level permissions](/docs/cloud/manage-access/environment-permissions) -1. Click the gear icon to the top right and select **Account Settings**. Click **Groups & Licenses** - - - -2. Select an existing group or create a new group to add RBAC. Name the group (this can be any name you like, but it's recommended to keep it consistent with the SSO groups). If you have configured SSO with SAML 2.0, you may have to use the GroupID instead of the name of the group. -3. Configure the SSO provider groups you want to add RBAC by clicking **Add** in the **SSO** section. These fields are case-sensitive and must match the source group formatting. -4. Configure the permissions for users within those groups by clicking **Add** in the **Access** section of the window. - - -5. When you've completed your configurations, click **Save**. Users will begin to populate the group automatically once they have signed in to dbt Cloud with their SSO credentials. diff --git a/website/docs/docs/cloud/manage-access/environment-permissions.md b/website/docs/docs/cloud/manage-access/environment-permissions.md index 44cf2dc9a64..b99da64609c 100644 --- a/website/docs/docs/cloud/manage-access/environment-permissions.md +++ b/website/docs/docs/cloud/manage-access/environment-permissions.md @@ -77,4 +77,4 @@ If the user has the same roles across projects, you can apply environment access ## Related docs --[Environment-level permissions setup](/docs/cloud/manage-access/environment-permissions-setup) +- [Environment-level permissions setup](/docs/cloud/manage-access/environment-permissions-setup) diff --git a/website/docs/docs/cloud/manage-access/licenses-and-groups.md b/website/docs/docs/cloud/manage-access/licenses-and-groups.md deleted file mode 100644 index b91af80f9b3..00000000000 --- a/website/docs/docs/cloud/manage-access/licenses-and-groups.md +++ /dev/null @@ -1,145 +0,0 @@ ---- -title: "Licenses and groups" -id: "licenses-and-groups" ---- - -## Overview - -dbt Cloud administrators can use dbt Cloud's permissioning model to control -user-level access in a dbt Cloud account. This access control comes in two flavors: -License-based and Role-based. - -- **License-based Access Controls:** User are configured with account-wide - license types. These licenses control the specific parts of the dbt Cloud application - that a given user can access. -- **Role-based Access Control (RBAC):** Users are assigned to _groups_ that have - specific permissions on specific projects or the entire account. A user may be - a member of multiple groups, and those groups may have permissions on multiple - projects. - -## License-based access control - -Each user on an account is assigned a license type when the user is first -invited to a given account. This license type may change over time, but a -user can only have one type of license at any given time. - -A user's license type controls the features in dbt Cloud that the user is able -to access. dbt Cloud's three license types are: - - **Read-Only** - - **Developer** - - **IT** - -For more information on these license types, see [Seats & Users](/docs/cloud/manage-access/seats-and-users). -At a high-level, Developers may be granted _any_ permissions, whereas Read-Only -users will have read-only permissions applied to all dbt Cloud resources -regardless of the role-based permissions that the user is assigned. IT users will have Security Admin and Billing Admin permissions applied regardless of the role-based permissions that the user is assigned. - -## Role-based access control - -:::info dbt Cloud Enterprise - -Role-based access control is a feature of the dbt Cloud Enterprise plan - -::: - -Role-based access control allows for fine-grained permissioning in the dbt Cloud -application. With role-based access control, users can be assigned varying -permissions to different projects within a dbt Cloud account. For teams on the -Enterprise tier, role-based permissions can be generated dynamically from -configurations in an [Identity Provider](sso-overview). - -Role-based permissions are applied to _groups_ and pertain to _projects_. The -assignable permissions themselves are granted via _permission sets_. - - -### Groups - -A group is a collection of users. Users may belong to multiple groups. Members -of a group inherit any permissions applied to the group itself. - -Users can be added to a dbt Cloud group based on their group memberships in the -configured [Identity Provider](sso-overview) for the account. In this way, dbt -Cloud administrators can manage access to dbt Cloud resources via identity -management software like Microsoft Entra ID (formerly Azure AD), Okta, or GSuite. See _SSO Mappings_ below for -more information. - -You can view the groups in your account or create new groups from the **Team > Groups** -page in your Account Settings. - - - - -### SSO Mappings - -SSO Mappings connect Identity Provider (IdP) group membership to dbt Cloud group -membership. When a user logs into dbt Cloud via a supported identity provider, -their IdP group memberships are synced with dbt Cloud. Upon logging in -successfully, the user's group memberships (and therefore, permissions) are -adjusted accordingly within dbt Cloud automatically. - -:::tip Creating SSO Mappings - -While dbt Cloud supports mapping multiple IdP groups to a single dbt Cloud -group, we recommend using a 1:1 mapping to make administration as simple as -possible. Consider using the same name for your dbt Cloud groups and your IdP -groups. - -::: - - -### Permission Sets - -Permission sets are predefined collections of granular permissions. Permission -sets combine low-level permission grants into high-level roles that can be -assigned to groups. Some examples of existing permission sets are: - - Account Admin - - Git Admin - - Job Admin - - Job Viewer - - ...and more - -For a full list of enterprise permission sets, see [Enterprise Permissions](/docs/cloud/manage-access/enterprise-permissions). -These permission sets are available for assignment to groups and control the ability -for users in these groups to take specific actions in the dbt Cloud application. - -In the following example, the _dbt Cloud Owners_ group is configured with the -**Account Admin** permission set on _All Projects_ and the **Job Admin** permission -set on the _Internal Analytics_ project. - - - - -### Manual assignment - -dbt Cloud administrators can manually assign users to groups independently of -IdP attributes. If a dbt Cloud group is configured _without_ any -SSO Mappings, then the group will be _unmanaged_ and dbt Cloud will not adjust -group membership automatically when users log into dbt Cloud via an identity -provider. This behavior may be desirable for teams that have connected an identity -provider, but have not yet configured SSO Mappings between dbt Cloud and the -IdP. - -If an SSO Mapping is added to an _unmanaged_ group, then it will become -_managed_, and dbt Cloud may add or remove users to the group automatically at -sign-in time based on the user's IdP-provided group membership information. - - -## FAQs -- **When are IdP group memberships updated for SSO Mapped groups?** Group memberships - are updated every time a user logs into dbt Cloud via a supported SSO provider. If - you've changed group memberships in your identity provider or dbt Cloud, ask your - users to log back into dbt Cloud for these group memberships to be synchronized. - -- **Can I set up SSO without RBAC?** Yes, see the documentation on - [Manual Assignment](#manual-assignment) above for more information on using - SSO without RBAC. - -- **Can I configure a user's License Type based on IdP Attributes?** Yes, see - the docs on [managing license types](/docs/cloud/manage-access/seats-and-users#managing-license-types) - for more information. diff --git a/website/docs/docs/cloud/manage-access/set-up-sso-google-workspace.md b/website/docs/docs/cloud/manage-access/set-up-sso-google-workspace.md index e4ff998015c..2b2575efc57 100644 --- a/website/docs/docs/cloud/manage-access/set-up-sso-google-workspace.md +++ b/website/docs/docs/cloud/manage-access/set-up-sso-google-workspace.md @@ -117,7 +117,7 @@ If the verification information looks appropriate, then you have completed the c ## Setting up RBAC Now you have completed setting up SSO with GSuite, the next steps will be to set up -[RBAC groups](/docs/cloud/manage-access/enterprise-permissions) to complete your access control configuration. +[RBAC groups](/docs/cloud/manage-access/about-user-access#role-based-access-control-) to complete your access control configuration. ## Troubleshooting diff --git a/website/docs/docs/cloud/manage-access/set-up-sso-okta.md b/website/docs/docs/cloud/manage-access/set-up-sso-okta.md index 53986513ce2..fda32f118ef 100644 --- a/website/docs/docs/cloud/manage-access/set-up-sso-okta.md +++ b/website/docs/docs/cloud/manage-access/set-up-sso-okta.md @@ -190,4 +190,4 @@ configured in the steps above. ## Setting up RBAC Now you have completed setting up SSO with Okta, the next steps will be to set up -[RBAC groups](/docs/cloud/manage-access/enterprise-permissions) to complete your access control configuration. +[RBAC groups](/docs/cloud/manage-access/about-user-access#role-based-access-control-) to complete your access control configuration. diff --git a/website/docs/docs/dbt-cloud-apis/service-tokens.md b/website/docs/docs/dbt-cloud-apis/service-tokens.md index fe8ace5fa34..93a89922456 100644 --- a/website/docs/docs/dbt-cloud-apis/service-tokens.md +++ b/website/docs/docs/dbt-cloud-apis/service-tokens.md @@ -36,80 +36,36 @@ You can assign service account tokens to any permission set available in dbt Clo ### Team plans using service account tokens -The following permissions can be assigned to a service account token on a Team plan. +The following permissions can be assigned to a service account token on a Team plan. Refer to [Enterprise permissions](/docs/cloud/manage-access/enterprise-permissions) for more information about these roles. -**Account Admin**
-Account Admin service tokens have full `read + write` access to an account, so please use them with caution. A Team plan refers to this permission set as an "Owner role." For more on these permissions, see [Account Admin](/docs/cloud/manage-access/enterprise-permissions#account-admin). - -**Metadata Only**
-Metadata-only service tokens authorize requests to the Discovery API. - -**Semantic Layer Only**
-Semantic Layer-only service tokens authorize requests to the Semantic Layer APIs. - -**Job Admin**
-Job admin service tokens can authorize requests for viewing, editing, and creating environments, triggering runs, and viewing historical runs. - -**Job Runner**
-Job runner service tokens can authorize requests for triggering runs and viewing historical runs. - -**Member**
-Member service tokens can authorize requests for viewing and editing resources, triggering runs, and inviting members to the account. Tokens assigned the Member permission set will have the same permissions as a Member user. For more information about Member users, see "[Self-service Team plan permissions](/docs/cloud/manage-access/self-service-permissions)". - -**Read-only**
-Read-only service tokens can authorize requests for viewing a read-only dashboard, viewing generated documentation, and viewing source freshness reports. This token can access and retrieve account-level information endpoints on the [Admin API](/docs/dbt-cloud-apis/admin-cloud-api) and authorize requests to the [Discovery API](/docs/dbt-cloud-apis/discovery-api). +- Account Admin — Account Admin service tokens have full `read + write` access to an account, so please use them with caution. A Team plan refers to this permission set as an "Owner role." +- Job Admin +- Job Runner +- Metadata Only +- Member +- Read-only +- Semantic Layer Only ### Enterprise plans using service account tokens -The following permissions can be assigned to a service account token on an Enterprise plan. For more details about these permissions, see "[Enterprise permissions](/docs/cloud/manage-access/enterprise-permissions)." - -**Account Admin**
-Account Admin service tokens have full `read + write` access to an account, so please use them with caution. For more on these permissions, see [Account Admin](/docs/cloud/manage-access/enterprise-permissions#account-admin). - -**Security Admin**
-Security Admin service tokens have certain account-level permissions. For more on these permissions, see [Security Admin](/docs/cloud/manage-access/enterprise-permissions#security-admin). - -**Billing Admin**
-Billing Admin service tokens have certain account-level permissions. For more on these permissions, see [Billing Admin](/docs/cloud/manage-access/enterprise-permissions#billing-admin). - -**Manage marketplace apps**
-Used only for service tokens assigned to marketplace apps (for example, the [Snowflake Native app](/docs/cloud-integrations/snowflake-native-app)). - -**Metadata Only**
-Metadata-only service tokens authorize requests to the Discovery API. - -**Semantic Layer Only**
-Semantic Layer-only service tokens authorize requests to the Semantic Layer APIs. - -**Job Admin**
-Job Admin service tokens can authorize requests for viewing, editing, and creating environments, triggering runs, and viewing historical runs. For more on these permissions, see [Job Admin](/docs/cloud/manage-access/enterprise-permissions#job-admin). - -**Account Viewer**
-Account Viewer service tokens have read-only access to dbt Cloud accounts. For more on these permissions, see [Account Viewer](/docs/cloud/manage-access/enterprise-permissions#account-viewer) on the Enterprise Permissions page. - -**Admin**
-Admin service tokens have unrestricted access to projects in dbt Cloud accounts. You have the option to grant that permission all projects in the account or grant the permission only on specific projects. For more on these permissions, see [Admin Service](/docs/cloud/manage-access/enterprise-permissions#admin-service) on the Enterprise Permissions page. - -**Git Admin**
-Git admin service tokens have all the permissions listed in [Git admin](/docs/cloud/manage-access/enterprise-permissions#git-admin) on the Enterprise Permissions page. - -**Database Admin**
-Database admin service tokens have all the permissions listed in [Database admin](/docs/cloud/manage-access/enterprise-permissions#database-admin) on the Enterprise Permissions page. - -**Team Admin**
-Team admin service tokens have all the permissions listed in [Team admin](/docs/cloud/manage-access/enterprise-permissions#team-admin) on the Enterprise Permissions page. - -**Job Viewer**
-Job viewer admin service tokens have all the permissions listed in [Job viewer](/docs/cloud/manage-access/enterprise-permissions#job-viewer) on the Enterprise Permissions page. - -**Developer**
-Developer service tokens have all the permissions listed in [Developer](/docs/cloud/manage-access/enterprise-permissions#developer) on the Enterprise Permissions page. - -**Analyst**
-Analyst admin service tokens have all the permissions listed in [Analyst](/docs/cloud/manage-access/enterprise-permissions#analyst) on the Enterprise Permissions page. - -**Stakeholder**
-Stakeholder service tokens have all the permissions listed in [Stakeholder](/docs/cloud/manage-access/enterprise-permissions#stakeholder) on the Enterprise Permissions page. +Refer to [Enterprise permissions](/docs/cloud/manage-access/enterprise-permissions) for more information about these roles. + +- Account Admin — Account Admin service tokens have full `read + write` access to an account, so please use them with caution. +- Account Viewer +- Admin +- Analyst +- Billing Admin +- Database Admin +- Developer +- Git Admin +- Job Admin +- Job Viewer +- Manage marketplace apps +- Metadata Only +- Semantic Layer Only +- Security Admin +- Stakeholder +- Team Admin ## Service token update diff --git a/website/docs/docs/deploy/webhooks.md b/website/docs/docs/deploy/webhooks.md index dfb8b7c7406..ffea38b5b84 100644 --- a/website/docs/docs/deploy/webhooks.md +++ b/website/docs/docs/deploy/webhooks.md @@ -29,7 +29,7 @@ You can also check out the free [dbt Fundamentals course](https://learn.getdbt.c ## Prerequisites - You have a dbt Cloud account that is on the [Team or Enterprise plan](https://www.getdbt.com/pricing/). - For `write` access to webhooks: - - **Enterprise plan accounts** — Permission sets are the same for both API service tokens and the dbt Cloud UI. You, or the API service token, must have the [Account Admin](/docs/cloud/manage-access/enterprise-permissions#account-admin), [Admin](/docs/cloud/manage-access/enterprise-permissions#admin), or [Developer](/docs/cloud/manage-access/enterprise-permissions#developer) permission set. + - **Enterprise plan accounts** — Permission sets are the same for both API service tokens and the dbt Cloud UI. You, or the API service token, must have the Account Admin, Admin, or Developer [permission set](/docs/cloud/manage-access/enterprise-permissions). - **Team plan accounts** — For the dbt Cloud UI, you need to have a [Developer license](/docs/cloud/manage-access/self-service-permissions). For API service tokens, you must assign the service token to have the [Account Admin or Member](/docs/dbt-cloud-apis/service-tokens#team-plans-using-service-account-tokens) permission set. - You have a multi-tenant or an AWS single-tenant deployment model in dbt Cloud. For more information, refer to [Tenancy](/docs/cloud/about-cloud/tenancy). - Your destination system supports [Authorization headers](#troubleshooting). From 606f242ab899eb1e70aaf75ac21f4619f1fb43b2 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 18 Oct 2024 15:42:24 +0100 Subject: [PATCH 049/327] Update cumulative-metrics.md --- website/docs/docs/build/cumulative-metrics.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/cumulative-metrics.md b/website/docs/docs/build/cumulative-metrics.md index acdf4fb380c..888da54a70f 100644 --- a/website/docs/docs/build/cumulative-metrics.md +++ b/website/docs/docs/build/cumulative-metrics.md @@ -27,7 +27,7 @@ Note that we use the double colon (::) to indicate whether a parameter is nested | `type_params` | The type parameters of the metric. Supports nested parameters indicated by the double colon, such as `type_params::measure`. | Required | | `type_params::measure` | The measure associated with the metric. Supports both shorthand (string) and object syntax. The shorthand is used if only the name is needed, while the object syntax allows specifying additional attributes. | Required | | `measure::name` | The name of the measure being referenced. Required if using object syntax for `type_params::measure`. | Optional | -| `measure::fill_nulls_with` | Sets a value (for example, zero) to replace nulls in the metric definition. | Optional | +| `measure::fill_nulls_with` | Sets a value (for example, 0) to replace nulls in the metric definition. | Optional | | `measure::join_to_timespine` | Boolean indicating if the aggregated measure should be joined to the time spine table to fill in missing dates. Default is `false`. | Optional | | `type_params::cumulative_type_params` | Configures the attributes like `window`, `period_agg`, and `grain_to_date` for cumulative metrics. | Optional | | `cumulative_type_params::window` | Specifies the accumulation window, such as 1 month, 7 days, or 1 year. Cannot be used with `grain_to_date`. | Optional | From 11cbe211098175cdd7fe661490dfd66ec448e62a Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 18 Oct 2024 15:51:09 +0100 Subject: [PATCH 050/327] Update cumulative-metrics.md --- website/docs/docs/build/cumulative-metrics.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/docs/docs/build/cumulative-metrics.md b/website/docs/docs/build/cumulative-metrics.md index 888da54a70f..b44918d2fbd 100644 --- a/website/docs/docs/build/cumulative-metrics.md +++ b/website/docs/docs/build/cumulative-metrics.md @@ -30,7 +30,7 @@ Note that we use the double colon (::) to indicate whether a parameter is nested | `measure::fill_nulls_with` | Sets a value (for example, 0) to replace nulls in the metric definition. | Optional | | `measure::join_to_timespine` | Boolean indicating if the aggregated measure should be joined to the time spine table to fill in missing dates. Default is `false`. | Optional | | `type_params::cumulative_type_params` | Configures the attributes like `window`, `period_agg`, and `grain_to_date` for cumulative metrics. | Optional | -| `cumulative_type_params::window` | Specifies the accumulation window, such as 1 month, 7 days, or 1 year. Cannot be used with `grain_to_date`. | Optional | +| `cumulative_type_params::window` | Specifies the accumulation window, such as `1 month`, `7 days`, or `1 year`. Cannot be used with `grain_to_date`. | Optional | | `cumulative_type_params::grain_to_date` | Sets the accumulation grain, such as `month`, restarting accumulation at the beginning of each specified grain period. Cannot be used with `window`. | Optional | | `cumulative_type_params::period_agg` | Defines how to aggregate the cumulative metric when summarizing data to a different granularity: `first`, `last`, or `average`. Defaults to `first` if `window` is not specified. | Optional | @@ -45,7 +45,7 @@ Note that we use the double colon (::) to indicate whether a parameter is nested | `type` | The type of the metric (cumulative, derived, ratio, or simple). | Required | | `label` | Required string that defines the display value in downstream tools. Accepts plain text, spaces, and quotes (such as `orders_total` or `"orders_total"`). | Required | | `type_params` | The type parameters of the metric. Supports nested parameters indicated by the double colon, such as `type_params::measure`. | Required | -| `window` | The accumulation window, such as 1 month, 7 days, 1 year. This can't be used with `grain_to_date`. | Optional | +| `window` | The accumulation window, such as `1 month`, `7 days`, or `1 year`. This can't be used with `grain_to_date`. | Optional | | `grain_to_date` | Sets the accumulation grain, such as `month`, which will accumulate data for one month and then restart at the beginning of the next. This can't be used with `window`. | Optional | | `type_params::measure` | A list of measure inputs | Required | | `measure:name` | The name of the measure being referenced. Required if using object syntax for `type_params::measure`. | Optional | From d49eec8053ae9f117c83a674b1a9403435a63307 Mon Sep 17 00:00:00 2001 From: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> Date: Fri, 18 Oct 2024 10:32:45 -0700 Subject: [PATCH 051/327] Bidirectional proj deps (#6137) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## What are you changing in this pull request and why? GA docs for bidirectional project dependencies feature ## Checklist - [x] I have reviewed the [Content style guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md) so my content adheres to these guidelines. - [x] The topic I'm writing about is for specific dbt version(s) and I have versioned it according to the [version a whole page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version) and/or [version a block of content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content) guidelines. - [x] Needs PM review --- 🚀 Deployment available! Here are the direct links to the updated files: - https://docs-getdbt-com-git-ly-docs-bidir-proj-deps-dbt-labs.vercel.app/best-practices/how-we-mesh/mesh-2-who-is-dbt-mesh-for - https://docs-getdbt-com-git-ly-docs-bidir-proj-deps-dbt-labs.vercel.app/best-practices/how-we-mesh/mesh-3-structures - https://docs-getdbt-com-git-ly-docs-bidir-proj-deps-dbt-labs.vercel.app/docs/dbt-versions/release-notes --------- Co-authored-by: Jeremy Cohen Co-authored-by: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> --- .../how-we-mesh/mesh-2-who-is-dbt-mesh-for.md | 3 --- .../docs/best-practices/how-we-mesh/mesh-3-structures.md | 2 +- website/docs/docs/dbt-versions/release-notes.md | 2 ++ website/snippets/_mesh-cycle-detection.md | 7 +------ 4 files changed, 4 insertions(+), 10 deletions(-) diff --git a/website/docs/best-practices/how-we-mesh/mesh-2-who-is-dbt-mesh-for.md b/website/docs/best-practices/how-we-mesh/mesh-2-who-is-dbt-mesh-for.md index b6fadc2d7a6..4c8adfa86a1 100644 --- a/website/docs/best-practices/how-we-mesh/mesh-2-who-is-dbt-mesh-for.md +++ b/website/docs/best-practices/how-we-mesh/mesh-2-who-is-dbt-mesh-for.md @@ -23,9 +23,6 @@ Is dbt Mesh a good fit in this scenario? Absolutely! There is no other way to sh - Onboarding hundreds of people and dozens of projects is full of friction! The challenges of a scaled, global organization are not to be underestimated. To start the migration, prioritize teams that have strong dbt familiarity and fundamentals. dbt Mesh is an advancement of core dbt deployments, so these teams are likely to have a smoother transition. Additionally, prioritize teams that manage strategic data assets that need to be shared widely. This ensures that dbt Mesh will help your teams deliver concrete value quickly. -- Bi-directional project dependencies -- currently, projects in dbt Mesh are treated like dbt resources in that they cannot depend on each other. However, many teams may want to be able to share data assets back and forth between teams. - - We've added support for [enabling bidirectional dependencies](/best-practices/how-we-mesh/mesh-3-structures#cycle-detection) across projects. If this sounds like your organization, dbt Mesh is the architecture you should pursue. ✅ diff --git a/website/docs/best-practices/how-we-mesh/mesh-3-structures.md b/website/docs/best-practices/how-we-mesh/mesh-3-structures.md index c75c566610b..38066811d8a 100644 --- a/website/docs/best-practices/how-we-mesh/mesh-3-structures.md +++ b/website/docs/best-practices/how-we-mesh/mesh-3-structures.md @@ -66,7 +66,7 @@ Since the launch of dbt Mesh, the most common pattern we've seen is one where pr Users may need to contribute models across multiple projects and this is fine. There will be some friction doing this, versus a single repo, but this is _useful_ friction, especially if upstreaming a change from a “spoke” to a “hub.” This should be treated like making an API change, one that the other team will be living with for some time to come. You should be concerned if your teammates find they need to make a coordinated change across multiple projects very frequently (every week), or as a key prerequisite for ~20%+ of their work. -### Cycle detection +### Cycle detection import CycleDetection from '/snippets/_mesh-cycle-detection.md'; diff --git a/website/docs/docs/dbt-versions/release-notes.md b/website/docs/docs/dbt-versions/release-notes.md index 662fd0f381a..0643529c407 100644 --- a/website/docs/docs/dbt-versions/release-notes.md +++ b/website/docs/docs/dbt-versions/release-notes.md @@ -20,6 +20,8 @@ Release notes are grouped by month for both multi-tenant and virtual private clo ## October 2024 +- **New:** With dbt Mesh, you can now enable bidirectional dependencies across your projects. Previously, dbt enforced dependencies to only go in one direction. dbt checks for cycles across projects and raises errors if any are detected. For details, refer to [Cycle detection](/docs/collaborate/govern/project-dependencies#cycle-detection). There's also the [Intro to dbt Mesh](/best-practices/how-we-mesh/mesh-1-intro) guide to help you learn more best practices. + Documentation for new features and functionality announced at Coalesce 2024: diff --git a/website/snippets/_mesh-cycle-detection.md b/website/snippets/_mesh-cycle-detection.md index 2a48d0a15bd..2b4b17385ba 100644 --- a/website/snippets/_mesh-cycle-detection.md +++ b/website/snippets/_mesh-cycle-detection.md @@ -1,8 +1,5 @@ -Currently, the default behavior for "project" dependencies enforces that these relationships only go in one direction, meaning that the `jaffle_finance` project could not add a new model that depends, on any public models produced by the `jaffle_marketing` project. dbt will check for cycles across projects and raise errors if any are detected. +You can enable bidirectional dependencies across projects so these relationships can go in either direction, meaning that the `jaffle_finance` project can add a new model that depends on any public models produced by the `jaffle_marketing` project, so long as the new dependency doesn't introduce any node-level cycles. dbt checks for cycles across projects and raises errors if any are detected. -However, many teams may want to be able to share data assets back and forth between teams. _We've added support for enabling bidirectional dependencies across projects, currently in beta_. - -To enable this in your account, set the environment variable `DBT_CLOUD_PROJECT_CYCLES_ALLOWED` to `TRUE` in all your dbt Cloud environments. This allows you to create bidirectional dependencies between projects, so long as the new dependency does not introduce any node-level cycles. When setting up projects that depend on each other, it's important to do so in a stepwise fashion. Each project must run and produce public models before the original producer project can take a dependency on the original consumer project. For example, the order of operations would be as follows for a simple two-project setup: @@ -10,5 +7,3 @@ When setting up projects that depend on each other, it's important to do so in a 2. The `project_b` project adds `project_a` as a dependency. 3. The `project_b` project runs in a deployment environment and produces public models. 4. The `project_a` project adds `project_b` as a dependency. - -If you enable this feature and experience any issues, please reach out to [dbt Cloud support](mailto:support@getdbt.com). From 35df2476c4a04be7d230405cb1a38aed4f59835e Mon Sep 17 00:00:00 2001 From: "Leona B. Campbell" <3880403+runleonarun@users.noreply.github.com> Date: Fri, 18 Oct 2024 13:39:59 -0700 Subject: [PATCH 052/327] Add release note to checklist --- .github/pull_request_template.md | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md index 870dadcd183..d2bb72552bd 100644 --- a/.github/pull_request_template.md +++ b/.github/pull_request_template.md @@ -9,6 +9,7 @@ To learn more about the writing conventions used in the dbt Labs docs, see the [ - [ ] I have reviewed the [Content style guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md) so my content adheres to these guidelines. - [ ] The topic I'm writing about is for specific dbt version(s) and I have versioned it according to the [version a whole page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version) and/or [version a block of content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content) guidelines. - [ ] I have added checklist item(s) to this list for anything anything that needs to happen before this PR is merged, such as "needs technical review" or "change base branch." +- [ ] The content in this PR requires a dbt release note, so I added one to the [release notes page](https://docs.getdbt.com/docs/dbt-versions/dbt-cloud-release-notes). --- 🚀 Deployment available! Here are the direct links to the updated files: - https://docs-getdbt-com-git-ly-docs-git-signed-commits-dbt-labs.vercel.app/docs/cloud/dbt-cloud-ide/develop-in-the-cloud - https://docs-getdbt-com-git-ly-docs-git-signed-commits-dbt-labs.vercel.app/docs/cloud/dbt-cloud-ide/git-commit-signing - https://docs-getdbt-com-git-ly-docs-git-signed-commits-dbt-labs.vercel.app/docs/dbt-versions/release-notes --------- Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Co-authored-by: mirnawong1 Co-authored-by: runleonarun Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com> Co-authored-by: Gideon Shils --- .../dbt-cloud-ide/develop-in-the-cloud.md | 2 +- .../cloud/dbt-cloud-ide/git-commit-signing.md | 80 ++++++++++++++++++ .../docs/docs/dbt-versions/release-notes.md | 1 + website/sidebars.js | 1 + .../example-git-signed-commits-setting.png | Bin 0 -> 157747 bytes .../img/docs/dbt-cloud/git-sign-verified.jpg | Bin 0 -> 99265 bytes 6 files changed, 83 insertions(+), 1 deletion(-) create mode 100644 website/docs/docs/cloud/dbt-cloud-ide/git-commit-signing.md create mode 100644 website/static/img/docs/dbt-cloud/example-git-signed-commits-setting.png create mode 100644 website/static/img/docs/dbt-cloud/git-sign-verified.jpg diff --git a/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md b/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md index 398b0cff2a1..c9d2cbbad30 100644 --- a/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md +++ b/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md @@ -53,7 +53,7 @@ To understand how to navigate the IDE and its user interface elements, refer to | Feature | Description | |---|---| | [**Keyboard shortcuts**](/docs/cloud/dbt-cloud-ide/keyboard-shortcuts) | You can access a variety of [commands and actions](/docs/cloud/dbt-cloud-ide/keyboard-shortcuts) in the IDE by choosing the appropriate keyboard shortcut. Use the shortcuts for common tasks like building modified models or resuming builds from the last failure. | -| **IDE version control** | The IDE version control section and git button allow you to apply the concept of [version control](/docs/collaborate/git/version-control-basics) to your project directly into the IDE.

- Create or change branches, execute git commands using the git button.
- Commit or revert individual files by right-clicking the edited file
- [Resolve merge conflicts](/docs/collaborate/git/merge-conflicts)
- Link to the repo directly by clicking the branch name
- Edit, format, or lint files and execute dbt commands in your primary protected branch, and commit to a new branch.
- Use Git diff view to view what has been changed in a file before you make a pull request.
- From dbt version 1.6 and higher, use the **Prune branches** [button](/docs/cloud/dbt-cloud-ide/ide-user-interface#prune-branches-modal) to delete local branches that have been deleted from the remote repository, keeping your branch management tidy. | +| **IDE version control** | The IDE version control section and git button allow you to apply the concept of [version control](/docs/collaborate/git/version-control-basics) to your project directly into the IDE.

- Create or change branches, execute git commands using the git button.
- Commit or revert individual files by right-clicking the edited file
- [Resolve merge conflicts](/docs/collaborate/git/merge-conflicts)
- Link to the repo directly by clicking the branch name
- Edit, format, or lint files and execute dbt commands in your primary protected branch, and commit to a new branch.
- Use Git diff view to view what has been changed in a file before you make a pull request.
- Use the **Prune branches** [button](/docs/cloud/dbt-cloud-ide/ide-user-interface#prune-branches-modal) (dbt v1.6 and higher) to delete local branches that have been deleted from the remote repository, keeping your branch management tidy.
- Sign your [git commits](/docs/cloud/dbt-cloud-ide/git-commit-signing) to mark them as 'Verified'. | | **Preview and Compile button** | You can [compile or preview](/docs/cloud/dbt-cloud-ide/ide-user-interface#console-section) code, a snippet of dbt code, or one of your dbt models after editing and saving. | | [**dbt Copilot**](/docs/cloud/dbt-copilot) | A powerful AI engine that can generate documentation, tests, and semantic models for your dbt SQL models. Available for dbt Cloud Enterprise plans. | | **Build, test, and run button** | Build, test, and run your project with a button click or by using the Cloud IDE command bar. diff --git a/website/docs/docs/cloud/dbt-cloud-ide/git-commit-signing.md b/website/docs/docs/cloud/dbt-cloud-ide/git-commit-signing.md new file mode 100644 index 00000000000..afaa0751669 --- /dev/null +++ b/website/docs/docs/cloud/dbt-cloud-ide/git-commit-signing.md @@ -0,0 +1,80 @@ +--- +title: "Git commit signing" +description: "Learn how to sign your Git commits when using the IDE for development." +sidebar_label: Git commit signing +--- + +# Git commit signing + +To prevent impersonation and enhance security, you can sign your Git commits before pushing them to your repository. Using your signature, a Git provider can cryptographically verify a commit and mark it as "verified", providing increased confidence about its origin. + +You can configure dbt Cloud to sign your Git commits when using the IDE for development. To set up, enable the feature in dbt Cloud, follow the flow to generate a keypair, and upload the public key to your Git provider to use for signature verification. + + +## Prerequisites + +- GitHub or GitLab is your Git provider. Currently, Azure DevOps is not supported. +- You have a dbt Cloud account on the [Enterprise plan](https://www.getdbt.com/pricing/). + +## Generate GPG keypair in dbt Cloud + +To generate a GPG keypair in dbt Cloud, follow these steps: +1. Go to your **Personal profile** page in dbt Cloud. +2. Navigate to **Signed Commits** section. +3. Enable the **Sign commits originating from this user** toggle. +4. This will generate a GPG keypair. The private key will be used to sign all future Git commits. The public key will be displayed, allowing you to upload it to your Git provider. + + + +## Upload public key to Git provider + +To upload the public key to your Git provider, follow the detailed documentation provided by the supported Git provider: + +- [GitHub instructions](https://docs.github.com/en/authentication/managing-commit-signature-verification/adding-a-gpg-key-to-your-github-account) +- [GitLab instructions](https://docs.gitlab.com/ee/user/project/repository/signed_commits/gpg.html) + +Once you have uploaded the public key to your Git provider, your Git commits will be marked as "Verified" after you push the changes to the repository. + + + +## Considerations + +- The GPG keypair is tied to the user, not a specific account. There is a 1:1 relationship between the user and keypair. The same key will be used for signing commits on any accounts the user is a member of. +- The GPG keypair generated in dbt Cloud is linked to the email address associated with your account at the time of keypair creation. This email identifies the author of signed commits. +- For your Git commits to be marked as "verified", your dbt Cloud email address must be a verified email address with your Git provider. The Git provider (such as, GitHub, GitLab) checks that the commit's signed email matches a verified email in your Git provider account. If they don’t match, the commit won't be marked as "verified." +- Keep your dbt Cloud email and Git provider's verified email in sync to avoid verification issues. If you change your dbt Cloud email address: + - Generate a new GPG keypair with the updated email, following the [steps mentioned earlier](/docs/cloud/dbt-cloud-ide/git-commit-signing#generate-gpg-keypair-in-dbt-cloud). + - Add and verify the new email in your Git provider. + + + +## FAQs + + + + + +If you delete your GPG keypair in dbt Cloud, your Git commits will no longer be signed. You can generate a new GPG keypair by following the [steps mentioned earlier](/docs/cloud/dbt-cloud-ide/git-commit-signing#generate-gpg-keypair-in-dbt-cloud). + + + + +GitHub and GitLab support commit signing, while Azure DevOps does not. Commit signing is a [git feature](https://git-scm.com/book/ms/v2/Git-Tools-Signing-Your-Work), and is independent of any specific provider. However, not all providers support the upload of public keys, or the display of verification badges on commits. + + + + + +If your Git Provider does not explicitly support the uploading of public GPG keys, then +commits will still be signed using the private key, but no verification information will +be displayed by the provider. + + + + + +If your Git provider is configured to enforce commit verification, then unsigned commits +will be rejected. To avoid this, ensure that you have followed all previous steps to generate +a keypair, and uploaded the public key to the provider. + + diff --git a/website/docs/docs/dbt-versions/release-notes.md b/website/docs/docs/dbt-versions/release-notes.md index 0643529c407..982d72e8fc0 100644 --- a/website/docs/docs/dbt-versions/release-notes.md +++ b/website/docs/docs/dbt-versions/release-notes.md @@ -20,6 +20,7 @@ Release notes are grouped by month for both multi-tenant and virtual private clo ## October 2024 +- **New**: The dbt Cloud IDE supports signed commits for Git, available for Enterprise plans. You can sign your Git commits when pushing them to the repository to prevent impersonation and enhance security. Supported Git providers are GitHub and GitLab. Refer to [Git commit signing](/docs/cloud/dbt-cloud-ide/git-commit-signing.md) for more information. - **New:** With dbt Mesh, you can now enable bidirectional dependencies across your projects. Previously, dbt enforced dependencies to only go in one direction. dbt checks for cycles across projects and raises errors if any are detected. For details, refer to [Cycle detection](/docs/collaborate/govern/project-dependencies#cycle-detection). There's also the [Intro to dbt Mesh](/best-practices/how-we-mesh/mesh-1-intro) guide to help you learn more best practices. diff --git a/website/sidebars.js b/website/sidebars.js index 2178e4cd35a..c8a711815a8 100644 --- a/website/sidebars.js +++ b/website/sidebars.js @@ -288,6 +288,7 @@ const sidebarSettings = { "docs/cloud/dbt-cloud-ide/keyboard-shortcuts", "docs/cloud/dbt-cloud-ide/ide-user-interface", "docs/cloud/dbt-cloud-ide/lint-format", + "docs/cloud/dbt-cloud-ide/git-commit-signing", { type: "category", label: "dbt Copilot", diff --git a/website/static/img/docs/dbt-cloud/example-git-signed-commits-setting.png b/website/static/img/docs/dbt-cloud/example-git-signed-commits-setting.png new file mode 100644 index 0000000000000000000000000000000000000000..bf3f816935954461534dbfb4964eb070ac76f85d GIT binary patch literal 157747 zcmaHT1zeL|`#)lUgrI^bjY@ZSiGb4GAs{evbd69c0Rd@cv~=fCViORMMjA#)=NLI+ z4F2y>1OgL6sOPEJnashk|Wh8xhv&e0kN=Wdec+bZQY4bl!+ZIY6w%b+Sx@T*5;(d602 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zx=jbA{h$iVSEummDr#7T;lC$NsZ+Tfi>m#PWPt>(IL#!rspb>8uEa{n8CCjMZg6R5 zxzwe+YH&NB(@(-QLRrEAL_2<)wFRmKz=dd&EYyL4f#}3U7XV~X_*}j(|9@og|6FVJ z9eyU4fU&zD?3Bv^BH(*-3mC>@=)%PvpzT{N=ze7nGE`9ig-7-Z#2TmL&@eoLh3e$w zWa+3Xd{L#iw3Jybgv|?3j(o}YM|%D#{XyfCW2^`R>p&osyg-AMPSCyr`{`_vZnEq` zeyuQ!d4I$F{Ji5nx21?`|K2OgD<7^2KE$k+FqAtzA;?1A^lDP}U*h{7bHYj>;{)d> zwSX(~RBpVej7*cDiDeC)6S6Iqc`<-OVommz~nI zuFU`HWBF@Q!O@^vxpJTLsg6GvHUHY7V;nfy2wtEB`>>z_EabcVW&SVE4OGs$?s7<6 zF5~~T(qA9`eRZONfbAOrLCu-Eo3KAl(-MA_EL4$dA^zD2;dy@Zz5&qWYhNkoWJzEx@=ItK?V2k*SzvIn6O$#G?t6Crb2Dq zua|>8*VfFJCs=L&xt{;{;6DNJjCX5&C<-)2d3-G4=U9Km1(SPx!73+ Date: Tue, 22 Oct 2024 09:22:03 +0100 Subject: [PATCH 060/327] Update configure-auto-exposures.md remove mention of running a prod job as it's not necessary after saving a tableau collection. confirmed by Roxi --- .../docs/docs/cloud-integrations/configure-auto-exposures.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/website/docs/docs/cloud-integrations/configure-auto-exposures.md b/website/docs/docs/cloud-integrations/configure-auto-exposures.md index 4574d69c164..8fa83c027e6 100644 --- a/website/docs/docs/cloud-integrations/configure-auto-exposures.md +++ b/website/docs/docs/cloud-integrations/configure-auto-exposures.md @@ -25,7 +25,6 @@ To access the features, you should meet the following: 3. You have set up a [production](/docs/deploy/deploy-environments#set-as-production-environment) deployment environment for each project you want to explore, with at least one successful job run. 4. You have [admin permissions](/docs/cloud/manage-access/enterprise-permissions) in dbt Cloud to edit project settings or production environment settings. 5. Use Tableau as your BI tool and enable metadata permissions or work with an admin to do so. Compatible with Tableau Cloud or Tableau Server with the Metadata API enabled. -6. Run a production job _after_ saving the Tableau collections. ## Set up in Tableau @@ -63,7 +62,6 @@ To set up [personal access tokens (PATs)](/docs/dbt-cloud-apis/user-tokens#using dbt Cloud automatically imports and syncs any workbook within the selected collections. New additions to the collections will be added to the lineage in dbt Cloud during the next automatic sync (usually once per day). 5. Click **Save**. -6. Run a production job _after_ saving the Tableau collections. dbt Cloud imports everything in the collection(s) and you can continue to view them in Explorer. For more information on how to view and use auto-exposures, refer to [View auto-exposures from dbt Explorer](/docs/collaborate/auto-exposures) page. From 106a6d3901b04cece917e27ef1879e9cf9ed8da1 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 22 Oct 2024 09:53:28 +0100 Subject: [PATCH 061/327] Update measures.md remove s --- website/docs/docs/build/measures.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/measures.md b/website/docs/docs/build/measures.md index efd732f4428..1901c7d05b7 100644 --- a/website/docs/docs/build/measures.md +++ b/website/docs/docs/build/measures.md @@ -102,7 +102,7 @@ semantic_models: description: A record of every transaction that takes place. Carts are considered multiple transactions for each SKU. model: ref('schema.transactions') defaults: - agg_time_dimensions: metric_time + agg_time_dimension: metric_time # --- entities --- entities: From efb35616a0c7d8c8b30fb23e16e2e637500d20e2 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 22 Oct 2024 10:11:49 +0100 Subject: [PATCH 062/327] add data type and time zone considerations Adding clarifying information about time zones and data types per [internal slack thread](https://dbt-labs.slack.com/archives/C03KHQRQUBX/p1729278831684459?thread_ts=1729023422.431269&cid=C03KHQRQUBX) --- website/docs/docs/build/metricflow-time-spine.md | 13 ++++++++++++- 1 file changed, 12 insertions(+), 1 deletion(-) diff --git a/website/docs/docs/build/metricflow-time-spine.md b/website/docs/docs/build/metricflow-time-spine.md index e932fb36f53..f475e7b4eb1 100644 --- a/website/docs/docs/build/metricflow-time-spine.md +++ b/website/docs/docs/build/metricflow-time-spine.md @@ -463,9 +463,20 @@ For example, if you use a custom calendar in your organization, such as a fiscal - This is useful for calculating metrics based on a custom calendar, such as fiscal quarters or weeks. - Use the `custom_granularities` key to define a non-standard time period for querying data, such as a `retail_month` or `fiscal_week`, instead of standard options like `day`, `month`, or `year`. -- Ensure the the `standard_granularity_column` is a date time type. - This feature provides more control over how time-based metrics are calculated. +### Data types and time zone considerations +When working with custom calendars in MetricFlow, it's important to ensure: + +- Consistent data types — Both your dimension column and the time spine column should use the same data type to allow accurate comparisons. Functions like `DATE_TRUNC` don't change the data type of the input in some databases (like Snowflake). Using different data types can lead to mismatches and inaccurate results. + + We recommend using `DATETIME` or `TIMESTAMP` data types for your time dimensions and time spine, as they support all granularities. The `DATE` data type may not support higher granularities like hours or minutes. + +- Consistent time zones — Ensure that all your time-related data uses the same time zone. MetricFlow currently doesn't perform any timezone manipulation and inconsistent time zones can cause unexpected results during aggregations and comparisons. + +For example: +If your time spine column is `TIMESTAMP` type and your dimension column is `DATE` type, comparisons between these columns might not work as intended. To fix this, convert your `DATE` column to `TIMESTAMP`, or make sure both columns are the same data type. + ### Add custom granularities To add custom granularities, the Semantic Layer supports custom calendar configurations that allow users to query data using non-standard time periods like `fiscal_year` or `retail_month`. You can define these custom granularities (all lowercased) by modifying your model's YAML configuration like this: From 19199a36d651c95806b13e7d02fe9df1a6379b9a Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 22 Oct 2024 10:16:34 +0100 Subject: [PATCH 063/327] Update website/docs/docs/build/metricflow-time-spine.md --- website/docs/docs/build/metricflow-time-spine.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/metricflow-time-spine.md b/website/docs/docs/build/metricflow-time-spine.md index f475e7b4eb1..2d523338fe0 100644 --- a/website/docs/docs/build/metricflow-time-spine.md +++ b/website/docs/docs/build/metricflow-time-spine.md @@ -465,7 +465,7 @@ For example, if you use a custom calendar in your organization, such as a fiscal - Use the `custom_granularities` key to define a non-standard time period for querying data, such as a `retail_month` or `fiscal_week`, instead of standard options like `day`, `month`, or `year`. - This feature provides more control over how time-based metrics are calculated. -### Data types and time zone considerations + When working with custom calendars in MetricFlow, it's important to ensure: - Consistent data types — Both your dimension column and the time spine column should use the same data type to allow accurate comparisons. Functions like `DATE_TRUNC` don't change the data type of the input in some databases (like Snowflake). Using different data types can lead to mismatches and inaccurate results. From e689c8ad58bb9a0b4a02af811a1e181bc43ae3f5 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 22 Oct 2024 10:16:47 +0100 Subject: [PATCH 064/327] Update website/docs/docs/build/metricflow-time-spine.md --- website/docs/docs/build/metricflow-time-spine.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/metricflow-time-spine.md b/website/docs/docs/build/metricflow-time-spine.md index 2d523338fe0..94b67fb8832 100644 --- a/website/docs/docs/build/metricflow-time-spine.md +++ b/website/docs/docs/build/metricflow-time-spine.md @@ -476,7 +476,7 @@ When working with custom calendars in MetricFlow, it's important to ensure: For example: If your time spine column is `TIMESTAMP` type and your dimension column is `DATE` type, comparisons between these columns might not work as intended. To fix this, convert your `DATE` column to `TIMESTAMP`, or make sure both columns are the same data type. - + ### Add custom granularities To add custom granularities, the Semantic Layer supports custom calendar configurations that allow users to query data using non-standard time periods like `fiscal_year` or `retail_month`. You can define these custom granularities (all lowercased) by modifying your model's YAML configuration like this: From 742e216a2790c173e264fc6a11a7082942abf817 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 22 Oct 2024 10:18:55 +0100 Subject: [PATCH 065/327] Update metricflow-time-spine.md --- website/docs/docs/build/metricflow-time-spine.md | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/website/docs/docs/build/metricflow-time-spine.md b/website/docs/docs/build/metricflow-time-spine.md index 94b67fb8832..1bee191d55c 100644 --- a/website/docs/docs/build/metricflow-time-spine.md +++ b/website/docs/docs/build/metricflow-time-spine.md @@ -466,17 +466,19 @@ For example, if you use a custom calendar in your organization, such as a fiscal - This feature provides more control over how time-based metrics are calculated. + When working with custom calendars in MetricFlow, it's important to ensure: - Consistent data types — Both your dimension column and the time spine column should use the same data type to allow accurate comparisons. Functions like `DATE_TRUNC` don't change the data type of the input in some databases (like Snowflake). Using different data types can lead to mismatches and inaccurate results. We recommend using `DATETIME` or `TIMESTAMP` data types for your time dimensions and time spine, as they support all granularities. The `DATE` data type may not support higher granularities like hours or minutes. -- Consistent time zones — Ensure that all your time-related data uses the same time zone. MetricFlow currently doesn't perform any timezone manipulation and inconsistent time zones can cause unexpected results during aggregations and comparisons. +- Consistent time zones — Ensure that all your time-related data uses the same time zone. MetricFlow supports UTC and currently doesn't perform any timezone manipulation. This means inconsistent time zones can cause unexpected results during aggregations and comparisons. + +For example, if your time spine column is `TIMESTAMP` type and your dimension column is `DATE` type, comparisons between these columns might not work as intended. To fix this, convert your `DATE` column to `TIMESTAMP`, or make sure both columns are the same data type. -For example: -If your time spine column is `TIMESTAMP` type and your dimension column is `DATE` type, comparisons between these columns might not work as intended. To fix this, convert your `DATE` column to `TIMESTAMP`, or make sure both columns are the same data type. + ### Add custom granularities To add custom granularities, the Semantic Layer supports custom calendar configurations that allow users to query data using non-standard time periods like `fiscal_year` or `retail_month`. You can define these custom granularities (all lowercased) by modifying your model's YAML configuration like this: From 93e76b48a570df5f3f60da578bb937eaf02c4352 Mon Sep 17 00:00:00 2001 From: Natalie Fiann Date: Tue, 22 Oct 2024 11:19:29 +0100 Subject: [PATCH 066/327] Updated the dbt Cloud Big Query doc to include section on optional configs --- .../connnect-bigquery.md | 112 ++++++++++++++++++ 1 file changed, 112 insertions(+) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 0243bc619b1..babd3bfb37d 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -52,6 +52,114 @@ As an end user, if your organization has set up BigQuery OAuth, you can link a p To learn how to optimize performance with data platform-specific configurations in dbt Cloud, refer to [BigQuery-specific configuration](/reference/resource-configs/bigquery-configs). +### Optional configurations + +In BigQuery, optional configurations let you tailor settings for tasks such as running queries, loading or exporting data, and creating tables. While not necessary for basic operations, these options give you greater control over how BigQuery functions behind the scenes to meet your requirements. + +To customize your optional configurations in dbt Cloud: + +- Select your BigQuery project from the left-hand menu +- Click **Settings** towards the top right +- Scroll down to **Development Connection** and select BigQuery +- Click **Edit** and then scroll down to **Optional settings** + + + +The following are the optional configs you can set in dbt Cloud: + +#### Priority + +The `priority` for the BigQuery jobs that dbt executes can be configured with the `priority` configuration in your BigQuery profile. The priority field can be set to one of `batch` or `interactive`. For more information on query priority, consult the [BigQuery documentation](https://cloud.google.com/bigquery/docs/running-queries). + +#### Retries + +Retries in BigQuery help to ensure that jobs complete successfully by trying again after temporary failures, making your operations more robust and reliable. + +#### Location + +The `location` of BigQuery datasets can be set using the `location` setting in a BigQuery profile. As per the [BigQuery documentation](https://cloud.google.com/bigquery/docs/locations), `location` may be either a multi-regional location (e.g. `EU`, `US`), or a regional location (e.g. `us-west2`). + +You can specify the `location` parameter in your `dbt_project.yml` file or in your `models'` configuration. You can set the `location` to either a multi-regional location (e.g., `US`, `EU`) or a regional location such as `us-west2`. + +```yml + +models: + my_project: + +location: 'us-west2' # Set the BigQuery dataset location + +``` + + + +#### Maximum bytes build + +When a `maximum_bytes_billed` value is configured for a BigQuery profile, that allows you to limit how much data your query can process. It’s a safeguard to prevent your query from accidentally processing more data than you expect, which could lead to higher costs. Queries executed by dbt will fail if they exceed the configured maximum bytes threshhold. This configuration should be supplied as an integer number of bytes. + +```jinja + +my-profile: + target: dev + outputs: + dev: + type: bigquery + method: oauth + project: abc-123 + dataset: my_dataset + # If a query would bill more than a gigabyte of data, then + # BigQuery will reject the query + maximum_bytes_billed: 1000000000 + +``` + +Example output: + +``` + +Database Error in model debug_table (models/debug_table.sql) + Query exceeded limit for bytes billed: 1000000000. 2000000000 or higher required. + compiled SQL at target/run/bq_project/models/debug_table.sql + +``` + +#### Execution project + +By default, dbt will use the specified `project`/`database` as both: + +1. The location to materialize resources (models, seeds, snapshots, etc), unless they specify a custom project/database config +2. The GCP project that receives the bill for query costs or slot usage + +Optionally, you may specify an execution_project to bill for query execution, instead of the project/database where you materialize most resources. + +#### Impersonate service account + +This feature allows users authenticating via local OAuth to access BigQuery resources based on the permissions of a service account. + +For a general overview of this process, see the official docs for [Creating Short-lived Service Account Credentials](https://cloud.google.com/iam/docs/create-short-lived-credentials-direct). + +#### Job retry deadline seconds + +Job retry deadline seconds is the maximum amount of time BigQuery will spend retrying a job before it gives up. + +#### Job creation timeout seconds + +Job creation timeout seconds is the maximum time BigQuery will wait to start the job. If the job doesn’t start within that time, it times out. + +#### Google cloud storage bucket + +Everything you store in Cloud Storage must be placed inside a [bucket](https://cloud.google.com/storage/docs/buckets). Buckets help you organize your data and manage access to it. + +#### Dataproc region + +A designated location in the cloud where you can run your data processing jobs efficiently. This region must match the location of your BigQuery dataset if you want to use Dataproc with BigQuery to ensure data doesn't move across regions, which can be inefficient and costly. + +For more information on [dataproc regions](https://cloud.google.com/bigquery/docs/locations), refer to the BigQuery documentation. + +#### Dataproc cluster name + +A unique label you give to your group of virtual machines to help you identify and manage your data processing tasks in the cloud. When you integrate Dataproc with BigQuery, you need to provide the cluster name so BigQuery knows which specific set of resources (the cluster) to use for running the data jobs. + +Have a look at [Dataproc's document on Create a cluster](https://cloud.google.com/dataproc/docs/guides/create-cluster) for an overview on how clusters work. + ### Account level connections and credential management You can re-use connections across multiple projects with [global connections](/docs/cloud/connect-data-platform/about-connections#migration-from-project-level-connections-to-account-level-connections). Connections are attached at the environment level (formerly project level), so you can utilize multiple connections inside of a single project (to handle dev, staging, production, etc.). @@ -147,3 +255,7 @@ For a project, you will first create an environment variable to store the secret "extended_attributes_id": FFFFF }' ``` + + + + From c393a32e968e656bab9884edfa37ff7b263846fe Mon Sep 17 00:00:00 2001 From: Natalie Fiann Date: Tue, 22 Oct 2024 11:20:18 +0100 Subject: [PATCH 067/327] Added pic for dbt Cloud BigQuery optional config --- .../img/bigquery/bigquery-optional-config.png | Bin 0 -> 150447 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 website/static/img/bigquery/bigquery-optional-config.png diff --git a/website/static/img/bigquery/bigquery-optional-config.png b/website/static/img/bigquery/bigquery-optional-config.png new file mode 100644 index 0000000000000000000000000000000000000000..ba9dba2aface45ed776553f91f55430934062511 GIT binary patch literal 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zLBSh_ZQSfo$R0Muc5_71bY_v+eyS<)Q?r`~>vn{;#zv|Rv3cP)A}Hr{&8U9Yu($Fz zKss#WEXkuIDh&0u%N&g1Y5Mzl!>;Xc!K{w6?&M^rXWET&1g%;0eja6R&Rc!BA}%|Q zcTH;N>07N8#kAi4-k3y>VY*J|phT0!Uyr;s9?j6E$1qQG@?)ZZc&aS9_+Bs>{GJ-2 z#**D1Lm2qmC;Fh7|G6|1f%&VMcA9+QuxmK!VU%P`TRZRY0e>`d`ejt6#`68%Y>JHl z9Oh`igr&jxmDENacihQ%ubFgOqaj3&M?xnn_Rst9t$&jt+$cz&ScS-uxSUxAib;^3 zVxiJT19nqqfAW1h+qIn;LLIW4Tr>Vr-P8DfE7XI7Kj z`~SXaH-2<9fJ!A({tp&r@{uxd4^s5~$JYbg(Eon^Uqq|#|DK=!x-kAfz8 Date: Tue, 22 Oct 2024 17:21:52 -0400 Subject: [PATCH 068/327] Update advanced-ci.md I think the cached data is meant to explain how we create the preview in dbt Cloud. That's not clear from the language we have today. If my understanding is inaccurate please do not pull this change in. --- website/docs/docs/deploy/advanced-ci.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/deploy/advanced-ci.md b/website/docs/docs/deploy/advanced-ci.md index e3f7cc7c9ae..681aed73240 100644 --- a/website/docs/docs/deploy/advanced-ci.md +++ b/website/docs/docs/deploy/advanced-ci.md @@ -33,7 +33,7 @@ dbt reports the comparison differences in: ## About the cached data -When [comparing changes](#compare-changes), dbt Cloud stores a cache of no more than 100 records for each modified model. By caching this data, you can view the examples of changed data without rerunning the comparison against the data warehouse every time (optimizing for lower compute costs). To display the changes, dbt Cloud uses a cached version of a sample of the data records. These data records are queried from the database using the connection configuration (such as user, role, service account, and so on) that's set in the CI job's environment. +To create the preview for [comparing changes](#compare-changes), dbt Cloud stores a cache of no more than 100 records for each modified model. By caching this data, you can view the examples of changed data without rerunning the comparison against the data warehouse every time (optimizing for lower compute costs). To display the changes, dbt Cloud uses a cached version of a sample of the data records. These data records are queried from the database using the connection configuration (such as user, role, service account, and so on) that's set in the CI job's environment. You control what data to use. This may include synthetic data if pre-production or development data is heavily regulated or sensitive. From 74a351ed200aa84f67721cb2900a14f2b5dbc220 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Wed, 23 Oct 2024 09:39:32 +0100 Subject: [PATCH 069/327] Update website/docs/docs/build/metricflow-time-spine.md --- website/docs/docs/build/metricflow-time-spine.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/metricflow-time-spine.md b/website/docs/docs/build/metricflow-time-spine.md index 1bee191d55c..96546152f7e 100644 --- a/website/docs/docs/build/metricflow-time-spine.md +++ b/website/docs/docs/build/metricflow-time-spine.md @@ -471,7 +471,7 @@ When working with custom calendars in MetricFlow, it's important to ensure: - Consistent data types — Both your dimension column and the time spine column should use the same data type to allow accurate comparisons. Functions like `DATE_TRUNC` don't change the data type of the input in some databases (like Snowflake). Using different data types can lead to mismatches and inaccurate results. - We recommend using `DATETIME` or `TIMESTAMP` data types for your time dimensions and time spine, as they support all granularities. The `DATE` data type may not support higher granularities like hours or minutes. + We recommend using `DATETIME` or `TIMESTAMP` data types for your time dimensions and time spine, as they support all granularities. The `DATE` data type may not support smaller granularities like hours or minutes. - Consistent time zones — Ensure that all your time-related data uses the same time zone. MetricFlow supports UTC and currently doesn't perform any timezone manipulation. This means inconsistent time zones can cause unexpected results during aggregations and comparisons. From 180cb85ae09418edeaf47110d5970f873f6be446 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Wed, 23 Oct 2024 09:40:34 +0100 Subject: [PATCH 070/327] Update website/docs/docs/build/metricflow-time-spine.md --- website/docs/docs/build/metricflow-time-spine.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/metricflow-time-spine.md b/website/docs/docs/build/metricflow-time-spine.md index 96546152f7e..9932a35839c 100644 --- a/website/docs/docs/build/metricflow-time-spine.md +++ b/website/docs/docs/build/metricflow-time-spine.md @@ -473,7 +473,7 @@ When working with custom calendars in MetricFlow, it's important to ensure: We recommend using `DATETIME` or `TIMESTAMP` data types for your time dimensions and time spine, as they support all granularities. The `DATE` data type may not support smaller granularities like hours or minutes. -- Consistent time zones — Ensure that all your time-related data uses the same time zone. MetricFlow supports UTC and currently doesn't perform any timezone manipulation. This means inconsistent time zones can cause unexpected results during aggregations and comparisons. +- Time zones — MetricFlow currently doesn't perform any timezone manipulation. When working with timezone-aware data, inconsistent time zones may lead to unexpected results during aggregations and comparisons. For example, if your time spine column is `TIMESTAMP` type and your dimension column is `DATE` type, comparisons between these columns might not work as intended. To fix this, convert your `DATE` column to `TIMESTAMP`, or make sure both columns are the same data type. From c3e9d37f5dee9b346a8a16a621b28de640db6de6 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Wed, 23 Oct 2024 09:51:50 +0100 Subject: [PATCH 071/327] update agg_time_dimension example updating `agg_time_dimension` key examples to match valid values. raised in [internal slack](https://dbt-labs.slack.com/archives/C050Z6UP4RK/p1729560227396339) --- website/docs/docs/build/measures.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/website/docs/docs/build/measures.md b/website/docs/docs/build/measures.md index 1901c7d05b7..977b630fada 100644 --- a/website/docs/docs/build/measures.md +++ b/website/docs/docs/build/measures.md @@ -102,7 +102,7 @@ semantic_models: description: A record of every transaction that takes place. Carts are considered multiple transactions for each SKU. model: ref('schema.transactions') defaults: - agg_time_dimension: metric_time + agg_time_dimension: transaction_date # --- entities --- entities: @@ -167,7 +167,7 @@ semantic_models: # --- dimensions --- dimensions: - - name: metric_time + - name: transaction_date type: time expr: date_trunc('day', ts) # expr refers to underlying column ts type_params: @@ -204,7 +204,7 @@ semantic_models: description: A subscription table with one row per date for each active user and their subscription plans. model: ref('your_schema.subscription_table') defaults: - agg_time_dimension: metric_time + agg_time_dimension: subscription_date entities: - name: user_id @@ -212,7 +212,7 @@ semantic_models: primary_entity: subscription_table dimensions: - - name: metric_time + - name: subscription_date type: time expr: date_transaction type_params: From ed8289260a5ea72355801430813f556ec56a3e30 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Wed, 23 Oct 2024 10:17:49 +0100 Subject: [PATCH 072/327] Update metricflow-commands.md add versionblocks and update syntax based on versions. raised in [internal slack thread](https://dbt-labs.slack.com/archives/C02NCQ9483C/p1729633657302969) --- website/docs/docs/build/metricflow-commands.md | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/website/docs/docs/build/metricflow-commands.md b/website/docs/docs/build/metricflow-commands.md index d010cd8bb17..466a61cc5bc 100644 --- a/website/docs/docs/build/metricflow-commands.md +++ b/website/docs/docs/build/metricflow-commands.md @@ -34,10 +34,22 @@ For dbt Cloud CLI users, MetricFlow commands are embedded in the dbt Cloud CLI, You can install [MetricFlow](https://github.com/dbt-labs/metricflow#getting-started) from [PyPI](https://pypi.org/project/dbt-metricflow/). You need to use `pip` to install MetricFlow on Windows or Linux operating systems: + + 1. Create or activate your virtual environment `python -m venv venv` 2. Run `pip install dbt-metricflow` * You can install MetricFlow using PyPI as an extension of your dbt adapter in the command line. To install the adapter, run `python -m pip install "dbt-metricflow[your_adapter_name]"` and add the adapter name at the end of the command. For example, for a Snowflake adapter run `python -m pip install "dbt-metricflow[snowflake]"` + + + + +1. Create or activate your virtual environment `python -m venv venv` +2. Run `pip install dbt-metricflow` + * You can install MetricFlow using PyPI as an extension of your dbt adapter in the command line. To install the adapter, run `python -m pip install "dbt-metricflow[adapter_package_name]"` and add the adapter name at the end of the command. For example, for a Snowflake adapter run `python -m pip install "dbt-metricflow[dbt-snowflake]"` + + + **Note**, you'll need to manage versioning between dbt Core, your adapter, and MetricFlow. Something to note, MetricFlow `mf` commands return an error if you have a Metafont latex package installed. To run `mf` commands, uninstall the package. From 0e0f95372b3016aacb3e17202f01a74b82ebe8be Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 11:05:47 +0100 Subject: [PATCH 073/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index babd3bfb37d..b3802123d98 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -54,7 +54,7 @@ To learn how to optimize performance with data platform-specific configurations ### Optional configurations -In BigQuery, optional configurations let you tailor settings for tasks such as running queries, loading or exporting data, and creating tables. While not necessary for basic operations, these options give you greater control over how BigQuery functions behind the scenes to meet your requirements. +In BigQuery, optional configurations let you tailor settings for tasks such as query priority, dataset location, job timeout, and more. These options give you greater control over how BigQuery functions behind the scenes to meet your requirements. To customize your optional configurations in dbt Cloud: From 47525e8af1a65dda291cc6b8d941bf23178b9acf Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 13:26:57 +0100 Subject: [PATCH 074/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index b3802123d98..2860407f971 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -58,6 +58,8 @@ In BigQuery, optional configurations let you tailor settings for tasks such as q To customize your optional configurations in dbt Cloud: +- Click **Account home** from the left-hand side bar menu in dbt Cloud +- From there, click **Project** and select your BigQuery project - Select your BigQuery project from the left-hand menu - Click **Settings** towards the top right - Scroll down to **Development Connection** and select BigQuery From a09aef0b592a309377307f8ff8480c288f045b29 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 13:28:30 +0100 Subject: [PATCH 075/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 2860407f971..96344a063b0 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -61,7 +61,7 @@ To customize your optional configurations in dbt Cloud: - Click **Account home** from the left-hand side bar menu in dbt Cloud - From there, click **Project** and select your BigQuery project - Select your BigQuery project from the left-hand menu -- Click **Settings** towards the top right +- Click **Settings** towards the top right and a **Project details** window will open - Scroll down to **Development Connection** and select BigQuery - Click **Edit** and then scroll down to **Optional settings** From c238a6d5b4a40aa468fc1e95f1690d5290cbd9bd Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 13:32:23 +0100 Subject: [PATCH 076/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 96344a063b0..d57e5032751 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -79,7 +79,7 @@ Retries in BigQuery help to ensure that jobs complete successfully by trying aga #### Location -The `location` of BigQuery datasets can be set using the `location` setting in a BigQuery profile. As per the [BigQuery documentation](https://cloud.google.com/bigquery/docs/locations), `location` may be either a multi-regional location (e.g. `EU`, `US`), or a regional location (e.g. `us-west2`). +The `location` of BigQuery datasets can be set using the `location` setting in a BigQuery profile. As per the [BigQuery documentation](https://cloud.google.com/bigquery/docs/locations), `location` may be either a multi-regional location (for example, `EU`, `US`), or a regional location (like `us-west2`). You can specify the `location` parameter in your `dbt_project.yml` file or in your `models'` configuration. You can set the `location` to either a multi-regional location (e.g., `US`, `EU`) or a regional location such as `us-west2`. From 9a0c0fc77dcbd74a30e6e22732da1676440a8a1e Mon Sep 17 00:00:00 2001 From: Amy Chen <46451573+amychen1776@users.noreply.github.com> Date: Wed, 23 Oct 2024 09:00:16 -0400 Subject: [PATCH 077/327] Update snowflake-configs.md update docs to be more clear --- website/docs/reference/resource-configs/snowflake-configs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/resource-configs/snowflake-configs.md b/website/docs/reference/resource-configs/snowflake-configs.md index faf2d0c5e16..026b9f31d53 100644 --- a/website/docs/reference/resource-configs/snowflake-configs.md +++ b/website/docs/reference/resource-configs/snowflake-configs.md @@ -299,7 +299,7 @@ Snowflake allows two configuration scenarios for scheduling automatic refreshes: - **Time-based** — Provide a value of the form ` { seconds | minutes | hours | days }`. For example, if the dynamic table needs to be updated every 30 minutes, use `target_lag='30 minutes'`. - **Downstream** — Applicable when the dynamic table is referenced by other dynamic tables. In this scenario, `target_lag='downstream'` allows for refreshes to be controlled at the target, instead of at each layer. -Learn more about `target_lag` in Snowflake's [docs](https://docs.snowflake.com/en/user-guide/dynamic-tables-refresh#understanding-target-lag). +Learn more about `target_lag` in Snowflake's [docs](https://docs.snowflake.com/en/user-guide/dynamic-tables-refresh#understanding-target-lag). Please note that Snowflake does not support a target lag of ' > 1 minute'. From fcd0a8b67d4c17541ba50224fd90c6e947128559 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 14:43:52 +0100 Subject: [PATCH 078/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index d57e5032751..8e8cb719d7c 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -81,7 +81,6 @@ Retries in BigQuery help to ensure that jobs complete successfully by trying aga The `location` of BigQuery datasets can be set using the `location` setting in a BigQuery profile. As per the [BigQuery documentation](https://cloud.google.com/bigquery/docs/locations), `location` may be either a multi-regional location (for example, `EU`, `US`), or a regional location (like `us-west2`). -You can specify the `location` parameter in your `dbt_project.yml` file or in your `models'` configuration. You can set the `location` to either a multi-regional location (e.g., `US`, `EU`) or a regional location such as `us-west2`. ```yml From a844987e73e74db6d02ceaad3654004f67d3e969 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 14:44:11 +0100 Subject: [PATCH 079/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 8e8cb719d7c..c1ce6f6960b 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -82,7 +82,6 @@ Retries in BigQuery help to ensure that jobs complete successfully by trying aga The `location` of BigQuery datasets can be set using the `location` setting in a BigQuery profile. As per the [BigQuery documentation](https://cloud.google.com/bigquery/docs/locations), `location` may be either a multi-regional location (for example, `EU`, `US`), or a regional location (like `us-west2`). -```yml models: my_project: From 4d0f6e8d2ade0a260a2fdbf34f13d9b0a331640e Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 14:44:26 +0100 Subject: [PATCH 080/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index c1ce6f6960b..2e375572b82 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -83,7 +83,6 @@ The `location` of BigQuery datasets can be set using the `location` setting in a -models: my_project: +location: 'us-west2' # Set the BigQuery dataset location From 3e771611e0a30b5132f761b14f620211e5c2832e Mon Sep 17 00:00:00 2001 From: Ryan Harris Date: Wed, 23 Oct 2024 09:44:37 -0400 Subject: [PATCH 081/327] migration: add callout for rescheduling mechanism (#6337) ## What are you changing in this pull request and why? recently, the multicell team added a component to the in-app migration guide which allows customers to postpone their account migration by up to 45 days (this functionality is currently only available to enterprise tier accounts). as we begin migrating more enterprise accounts, we want our public facing docs to highlight this for our users. ## Checklist - [x] I have reviewed the [Content style guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md) so my content adheres to these guidelines. - [ ] The topic I'm writing about is for specific dbt version(s) and I have versioned it according to the [version a whole page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version) and/or [version a block of content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content) guidelines. - [ ] I have added checklist item(s) to this list for anything anything that needs to happen before this PR is merged, such as "needs technical review" or "change base branch." - [ ] The content in this PR requires a dbt release note, so I added one to the [release notes page](https://docs.getdbt.com/docs/dbt-versions/dbt-cloud-release-notes). --------- Co-authored-by: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> --- website/docs/docs/cloud/migration.md | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/website/docs/docs/cloud/migration.md b/website/docs/docs/cloud/migration.md index 76d881e7389..2665b8f6a97 100644 --- a/website/docs/docs/cloud/migration.md +++ b/website/docs/docs/cloud/migration.md @@ -15,6 +15,13 @@ Your account will be automatically migrated on or after its scheduled date. Howe ## Recommended actions +:::info Rescheduling your migration + +If you're on the dbt Cloud Enterprise tier, you can postpone your account migration by up to 45 days. To reschedule your migration, navigate to **Account Settings** → **Migration guide**. + +For help, contact the dbt Support Team at [support@getdbt.com](mailto:support@getdbt.com). +::: + We highly recommended you take these actions: - Ensure pending user invitations are accepted or note outstanding invitations. Pending user invitations might be voided during the migration. You can resend user invitations after the migration is complete. From 2b6d4f3f6d89aa8dc44ba2143dcb99c7dfaa7fe6 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 14:44:41 +0100 Subject: [PATCH 082/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 2e375572b82..3f5769b355a 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -83,7 +83,6 @@ The `location` of BigQuery datasets can be set using the `location` setting in a - my_project: +location: 'us-west2' # Set the BigQuery dataset location ``` From bb4a31e60a96968aafe336891b4200cf6179eef0 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 14:44:55 +0100 Subject: [PATCH 083/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 3f5769b355a..54fa507a551 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -83,7 +83,6 @@ The `location` of BigQuery datasets can be set using the `location` setting in a - +location: 'us-west2' # Set the BigQuery dataset location ``` From d69d9958712bb90b94f4959679878e22e302f17e Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 14:45:09 +0100 Subject: [PATCH 084/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 54fa507a551..6a38c94b535 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -84,7 +84,6 @@ The `location` of BigQuery datasets can be set using the `location` setting in a -``` From 183d4e2cf035378be39154ea3a212ab7a7f572ca Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 14:45:48 +0100 Subject: [PATCH 085/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 6a38c94b535..cad4862fd3c 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -91,7 +91,6 @@ The `location` of BigQuery datasets can be set using the `location` setting in a When a `maximum_bytes_billed` value is configured for a BigQuery profile, that allows you to limit how much data your query can process. It’s a safeguard to prevent your query from accidentally processing more data than you expect, which could lead to higher costs. Queries executed by dbt will fail if they exceed the configured maximum bytes threshhold. This configuration should be supplied as an integer number of bytes. -```jinja my-profile: target: dev From 83a02f6e30cd4dd486d9f9c9da6dfbbcbdab8f43 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 14:46:03 +0100 Subject: [PATCH 086/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index cad4862fd3c..b6867878b15 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -92,7 +92,6 @@ The `location` of BigQuery datasets can be set using the `location` setting in a When a `maximum_bytes_billed` value is configured for a BigQuery profile, that allows you to limit how much data your query can process. It’s a safeguard to prevent your query from accidentally processing more data than you expect, which could lead to higher costs. Queries executed by dbt will fail if they exceed the configured maximum bytes threshhold. This configuration should be supplied as an integer number of bytes. -my-profile: target: dev outputs: dev: From 8eb63d69e48b370ea43b700d0c52f32e3cb32adc Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 14:46:23 +0100 Subject: [PATCH 087/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index b6867878b15..24b06ac929c 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -92,7 +92,6 @@ The `location` of BigQuery datasets can be set using the `location` setting in a When a `maximum_bytes_billed` value is configured for a BigQuery profile, that allows you to limit how much data your query can process. It’s a safeguard to prevent your query from accidentally processing more data than you expect, which could lead to higher costs. Queries executed by dbt will fail if they exceed the configured maximum bytes threshhold. This configuration should be supplied as an integer number of bytes. - target: dev outputs: dev: type: bigquery From f7323a7e557bf737771915cea67d7791d64c7145 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 14:46:50 +0100 Subject: [PATCH 088/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 24b06ac929c..dab2de79607 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -92,7 +92,6 @@ The `location` of BigQuery datasets can be set using the `location` setting in a When a `maximum_bytes_billed` value is configured for a BigQuery profile, that allows you to limit how much data your query can process. It’s a safeguard to prevent your query from accidentally processing more data than you expect, which could lead to higher costs. Queries executed by dbt will fail if they exceed the configured maximum bytes threshhold. This configuration should be supplied as an integer number of bytes. - outputs: dev: type: bigquery method: oauth From c4c7348b54ad1d6cb449661def3f45fc52dd457b Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 14:47:05 +0100 Subject: [PATCH 089/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index dab2de79607..0d73cc70e39 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -92,7 +92,6 @@ The `location` of BigQuery datasets can be set using the `location` setting in a When a `maximum_bytes_billed` value is configured for a BigQuery profile, that allows you to limit how much data your query can process. It’s a safeguard to prevent your query from accidentally processing more data than you expect, which could lead to higher costs. Queries executed by dbt will fail if they exceed the configured maximum bytes threshhold. This configuration should be supplied as an integer number of bytes. - dev: type: bigquery method: oauth project: abc-123 From da5c0a9b65afb1ff0daf190b0a8267b7e792bd57 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 14:47:20 +0100 Subject: [PATCH 090/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 0d73cc70e39..065e100e1c0 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -92,7 +92,6 @@ The `location` of BigQuery datasets can be set using the `location` setting in a When a `maximum_bytes_billed` value is configured for a BigQuery profile, that allows you to limit how much data your query can process. It’s a safeguard to prevent your query from accidentally processing more data than you expect, which could lead to higher costs. Queries executed by dbt will fail if they exceed the configured maximum bytes threshhold. This configuration should be supplied as an integer number of bytes. - type: bigquery method: oauth project: abc-123 dataset: my_dataset From 598b4a3c03b701eb199f3b7e89fe1723cbf3e54c Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 14:47:35 +0100 Subject: [PATCH 091/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 065e100e1c0..1e5d23ddbc2 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -92,7 +92,6 @@ The `location` of BigQuery datasets can be set using the `location` setting in a When a `maximum_bytes_billed` value is configured for a BigQuery profile, that allows you to limit how much data your query can process. It’s a safeguard to prevent your query from accidentally processing more data than you expect, which could lead to higher costs. Queries executed by dbt will fail if they exceed the configured maximum bytes threshhold. This configuration should be supplied as an integer number of bytes. - method: oauth project: abc-123 dataset: my_dataset # If a query would bill more than a gigabyte of data, then From 48612b5bde4cf172804155475f05c0e820d45528 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 14:47:49 +0100 Subject: [PATCH 092/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 1e5d23ddbc2..961273528ce 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -92,7 +92,6 @@ The `location` of BigQuery datasets can be set using the `location` setting in a When a `maximum_bytes_billed` value is configured for a BigQuery profile, that allows you to limit how much data your query can process. It’s a safeguard to prevent your query from accidentally processing more data than you expect, which could lead to higher costs. Queries executed by dbt will fail if they exceed the configured maximum bytes threshhold. This configuration should be supplied as an integer number of bytes. - project: abc-123 dataset: my_dataset # If a query would bill more than a gigabyte of data, then # BigQuery will reject the query From c4491735a60d7e73d546d5832f4085110a1bccf1 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 14:48:01 +0100 Subject: [PATCH 093/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 961273528ce..b3875d8598a 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -92,7 +92,6 @@ The `location` of BigQuery datasets can be set using the `location` setting in a When a `maximum_bytes_billed` value is configured for a BigQuery profile, that allows you to limit how much data your query can process. It’s a safeguard to prevent your query from accidentally processing more data than you expect, which could lead to higher costs. Queries executed by dbt will fail if they exceed the configured maximum bytes threshhold. This configuration should be supplied as an integer number of bytes. - dataset: my_dataset # If a query would bill more than a gigabyte of data, then # BigQuery will reject the query maximum_bytes_billed: 1000000000 From 7dce741ca32b01c05289c4ff85891c427e580967 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 14:48:30 +0100 Subject: [PATCH 094/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index b3875d8598a..4ff3fb10c68 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -92,7 +92,6 @@ The `location` of BigQuery datasets can be set using the `location` setting in a When a `maximum_bytes_billed` value is configured for a BigQuery profile, that allows you to limit how much data your query can process. It’s a safeguard to prevent your query from accidentally processing more data than you expect, which could lead to higher costs. Queries executed by dbt will fail if they exceed the configured maximum bytes threshhold. This configuration should be supplied as an integer number of bytes. - # If a query would bill more than a gigabyte of data, then # BigQuery will reject the query maximum_bytes_billed: 1000000000 From 6aef6b00d8eeffc45f467d0f998d240cd069959a Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 14:48:45 +0100 Subject: [PATCH 095/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 4ff3fb10c68..9a10b178025 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -92,7 +92,6 @@ The `location` of BigQuery datasets can be set using the `location` setting in a When a `maximum_bytes_billed` value is configured for a BigQuery profile, that allows you to limit how much data your query can process. It’s a safeguard to prevent your query from accidentally processing more data than you expect, which could lead to higher costs. Queries executed by dbt will fail if they exceed the configured maximum bytes threshhold. This configuration should be supplied as an integer number of bytes. - # BigQuery will reject the query maximum_bytes_billed: 1000000000 ``` From f98a7f960d3cb78918453d37f5a54c39c011b620 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 14:49:01 +0100 Subject: [PATCH 096/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 9a10b178025..9148eeca62c 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -92,7 +92,6 @@ The `location` of BigQuery datasets can be set using the `location` setting in a When a `maximum_bytes_billed` value is configured for a BigQuery profile, that allows you to limit how much data your query can process. It’s a safeguard to prevent your query from accidentally processing more data than you expect, which could lead to higher costs. Queries executed by dbt will fail if they exceed the configured maximum bytes threshhold. This configuration should be supplied as an integer number of bytes. - maximum_bytes_billed: 1000000000 ``` From 4a75093a8443f2bac2ce4f56a999d7c96ea2caca Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 14:49:25 +0100 Subject: [PATCH 097/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 9148eeca62c..f06a380042e 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -93,7 +93,6 @@ When a `maximum_bytes_billed` value is configured for a BigQuery profile, that a -``` Example output: From 4f5226b31dc36fc7afa14e7664a581b4d5329877 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 14:49:40 +0100 Subject: [PATCH 098/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index f06a380042e..bab92e1f8d2 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -94,7 +94,6 @@ When a `maximum_bytes_billed` value is configured for a BigQuery profile, that a -Example output: ``` From e33180ff65e50d388d7d2a86ca0d3ec89805665b Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 14:49:56 +0100 Subject: [PATCH 099/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index bab92e1f8d2..be0d4a20f25 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -95,7 +95,6 @@ When a `maximum_bytes_billed` value is configured for a BigQuery profile, that a -``` Database Error in model debug_table (models/debug_table.sql) Query exceeded limit for bytes billed: 1000000000. 2000000000 or higher required. From b190a0f0df6881b0c96f93d62ebbdd0f31bdb0a3 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 14:50:12 +0100 Subject: [PATCH 100/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index be0d4a20f25..cd4220d1233 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -96,7 +96,6 @@ When a `maximum_bytes_billed` value is configured for a BigQuery profile, that a -Database Error in model debug_table (models/debug_table.sql) Query exceeded limit for bytes billed: 1000000000. 2000000000 or higher required. compiled SQL at target/run/bq_project/models/debug_table.sql From 4f7e56323d52f69fb33968e716b6d9a1ead07ac6 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 14:50:34 +0100 Subject: [PATCH 101/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index cd4220d1233..b1e0cb115b4 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -96,7 +96,6 @@ When a `maximum_bytes_billed` value is configured for a BigQuery profile, that a - Query exceeded limit for bytes billed: 1000000000. 2000000000 or higher required. compiled SQL at target/run/bq_project/models/debug_table.sql ``` From 73b274ad0045b6f9934a3afd9a24a6ab16bac6ee Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 14:50:49 +0100 Subject: [PATCH 102/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index b1e0cb115b4..8cfcbe2dde9 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -96,7 +96,6 @@ When a `maximum_bytes_billed` value is configured for a BigQuery profile, that a - compiled SQL at target/run/bq_project/models/debug_table.sql ``` From a2016664e989a9b85878286b2b4697b4e66f8f41 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 14:51:10 +0100 Subject: [PATCH 103/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 8cfcbe2dde9..25f2e9cca4d 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -97,7 +97,6 @@ When a `maximum_bytes_billed` value is configured for a BigQuery profile, that a -``` #### Execution project From df495c99b43f19e4a72c8f2c74761b29ddbe66d4 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 14:51:51 +0100 Subject: [PATCH 104/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 25f2e9cca4d..7523c5235d4 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -102,7 +102,7 @@ When a `maximum_bytes_billed` value is configured for a BigQuery profile, that a By default, dbt will use the specified `project`/`database` as both: -1. The location to materialize resources (models, seeds, snapshots, etc), unless they specify a custom project/database config +1. The location to materialize resources (models, seeds, snapshots, and so on), unless they specify a custom project/database config 2. The GCP project that receives the bill for query costs or slot usage Optionally, you may specify an execution_project to bill for query execution, instead of the project/database where you materialize most resources. From ae8894c2cdb73bbe656467504efb28b38ef87166 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 14:52:08 +0100 Subject: [PATCH 105/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 7523c5235d4..98f458bc5bd 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -105,7 +105,7 @@ By default, dbt will use the specified `project`/`database` as both: 1. The location to materialize resources (models, seeds, snapshots, and so on), unless they specify a custom project/database config 2. The GCP project that receives the bill for query costs or slot usage -Optionally, you may specify an execution_project to bill for query execution, instead of the project/database where you materialize most resources. +Optionally, you may specify an execution project to bill for query execution, instead of the project/database where you materialize most resources. #### Impersonate service account From 6ffd25bc42ed5451305f51a2b0625e32396a9d2b Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Wed, 23 Oct 2024 14:52:18 +0100 Subject: [PATCH 106/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 98f458bc5bd..f83b9d0ef1d 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -109,7 +109,7 @@ Optionally, you may specify an execution project to bill for query execution, in #### Impersonate service account -This feature allows users authenticating via local OAuth to access BigQuery resources based on the permissions of a service account. +This feature allows users authenticating using local OAuth to access BigQuery resources based on the permissions of a service account. For a general overview of this process, see the official docs for [Creating Short-lived Service Account Credentials](https://cloud.google.com/iam/docs/create-short-lived-credentials-direct). From 267c8776e3f963c3ebc7a15572af02cc952c4ec7 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Wed, 23 Oct 2024 15:40:55 +0100 Subject: [PATCH 107/327] Update website/docs/reference/resource-configs/snowflake-configs.md --- website/docs/reference/resource-configs/snowflake-configs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/resource-configs/snowflake-configs.md b/website/docs/reference/resource-configs/snowflake-configs.md index 026b9f31d53..abb516d2258 100644 --- a/website/docs/reference/resource-configs/snowflake-configs.md +++ b/website/docs/reference/resource-configs/snowflake-configs.md @@ -299,7 +299,7 @@ Snowflake allows two configuration scenarios for scheduling automatic refreshes: - **Time-based** — Provide a value of the form ` { seconds | minutes | hours | days }`. For example, if the dynamic table needs to be updated every 30 minutes, use `target_lag='30 minutes'`. - **Downstream** — Applicable when the dynamic table is referenced by other dynamic tables. In this scenario, `target_lag='downstream'` allows for refreshes to be controlled at the target, instead of at each layer. -Learn more about `target_lag` in Snowflake's [docs](https://docs.snowflake.com/en/user-guide/dynamic-tables-refresh#understanding-target-lag). Please note that Snowflake does not support a target lag of ' > 1 minute'. +Learn more about `target_lag` in Snowflake's [docs](https://docs.snowflake.com/en/user-guide/dynamic-tables-refresh#understanding-target-lag). Please note that Snowflake supports a target lag of 1 minute or longer. From 60b4106fc3741c4277861c7e074b9372dc1671c5 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Wed, 23 Oct 2024 17:47:10 +0100 Subject: [PATCH 108/327] Update service-tokens.md (#6347) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit update service token permissions for team and enterprise plans. raised in [internal slack](https://dbt-labs.slack.com/archives/C02N953LRDF/p1729666002817449). source code in thread. --- 🚀 Deployment available! Here are the direct links to the updated files: - https://docs-getdbt-com-git-mirnawong1-patch-26-dbt-labs.vercel.app/docs/dbt-cloud-apis/service-tokens --- website/docs/docs/dbt-cloud-apis/service-tokens.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-cloud-apis/service-tokens.md b/website/docs/docs/dbt-cloud-apis/service-tokens.md index 93a89922456..4c0f6222fe9 100644 --- a/website/docs/docs/dbt-cloud-apis/service-tokens.md +++ b/website/docs/docs/dbt-cloud-apis/service-tokens.md @@ -39,8 +39,8 @@ You can assign service account tokens to any permission set available in dbt Clo The following permissions can be assigned to a service account token on a Team plan. Refer to [Enterprise permissions](/docs/cloud/manage-access/enterprise-permissions) for more information about these roles. - Account Admin — Account Admin service tokens have full `read + write` access to an account, so please use them with caution. A Team plan refers to this permission set as an "Owner role." +- Billing Admin - Job Admin -- Job Runner - Metadata Only - Member - Read-only @@ -59,6 +59,7 @@ Refer to [Enterprise permissions](/docs/cloud/manage-access/enterprise-permissio - Developer - Git Admin - Job Admin +- Job Runner - Job Viewer - Manage marketplace apps - Metadata Only From 1c2e50596c0a03c71c8a87fc089af5c7936ab718 Mon Sep 17 00:00:00 2001 From: rcg798 <5733407+rcg798@users.noreply.github.com> Date: Wed, 23 Oct 2024 10:22:17 -0700 Subject: [PATCH 109/327] Update invite-users.md I think as part of the new side nav, the steps to get to the invite users CTA may be different? I'm not an admin so I am not 100%, but I do know that I no longer see an "account settings" in my upper right corner regardless of my invite perms. Feel free to reject if I have that wrong! --- website/docs/docs/cloud/manage-access/invite-users.md | 7 ++----- 1 file changed, 2 insertions(+), 5 deletions(-) diff --git a/website/docs/docs/cloud/manage-access/invite-users.md b/website/docs/docs/cloud/manage-access/invite-users.md index c82e15fd48f..e0a17f5ae0d 100644 --- a/website/docs/docs/cloud/manage-access/invite-users.md +++ b/website/docs/docs/cloud/manage-access/invite-users.md @@ -17,11 +17,8 @@ You must have proper permissions to invite new users: ## Invite new users -1. In your dbt Cloud account, select the gear menu in the upper right corner and then select **Account Settings**. -2. From the left sidebar, select **Users**. - - - +1. In your dbt Cloud account, select your profile in the bottom left corner. +2. Then select **Users**. 3. Click on **Invite Users**. From ee9361e26605289e8ea6dbe6a16c97a2cc1ab4a8 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Wed, 23 Oct 2024 17:39:27 -0400 Subject: [PATCH 110/327] Removes erroneous permission field (#6348) ## What are you changing in this pull request and why? Removing field for a permission not mapped to anything. See https://dbt-labs.slack.com/archives/C02NCQ9483C/p1729679610447809 ## Checklist - [ ] I have reviewed the [Content style guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md) so my content adheres to these guidelines. - [ ] The topic I'm writing about is for specific dbt version(s) and I have versioned it according to the [version a whole page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version) and/or [version a block of content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content) guidelines. - [ ] I have added checklist item(s) to this list for anything anything that needs to happen before this PR is merged, such as "needs technical review" or "change base branch." - [ ] The content in this PR requires a dbt release note, so I added one to the [release notes page](https://docs.getdbt.com/docs/dbt-versions/dbt-cloud-release-notes). --- website/snippets/_enterprise-permissions-table.md | 8 +++----- 1 file changed, 3 insertions(+), 5 deletions(-) diff --git a/website/snippets/_enterprise-permissions-table.md b/website/snippets/_enterprise-permissions-table.md index d972fc95342..688e8911bf4 100644 --- a/website/snippets/_enterprise-permissions-table.md +++ b/website/snippets/_enterprise-permissions-table.md @@ -43,7 +43,6 @@ Account roles enable you to manage the dbt Cloud account and manage the account | Jobs | W | | W | | R | | Metadata GraphQL API access | R | | R | | R | | Permissions | W | | W | W | R | -| Profile | W | | W | | R | | Projects | W | | W | R | R | | Repositories | W | | W | | R | | Runs | W | | W | | R | @@ -75,15 +74,14 @@ The project roles enable you to work within the projects in various capacities. |Project-level permission | Admin | Analyst | Database admin | Developer | Git Admin | Job admin | Job runner | Job viewer | Metadata

(Discovery API only) | Semantic Layer | Stakeholder | Team admin | Webhook | |--------------------------|:-----:|:-------:|:--------------:|:---------:|:---------:|:---------:|:-----------:|:-----------:|:--------:|:--------------:|:-----------:|:----------:|:-------:| -| Environment credentials (deployment) | W | W | W | W | R | W | | | | | R | R | | +| Environment credentials (deployment) | W | W | W | W | R | W | | | | | R | R | | | Custom env. variables | W | W | W | W | W | W | | R | | | R | W | | -| Data platform configurations | W | W | W | W | R | W | | | | | R | R | | +| Data platform configurations| W | W | W | W | R | W | | | | | R | R | | | Develop
(IDE or dbt Cloud CLI) | W | W | | W | | | | | | | | | | | Environments | W | R | R | R | R | W | | R | | | R | R | | | Jobs | W | R | R | R | R | W | R | R | | | R | R | | | Metadata GraphQL API access | R | R | R | R | R | R | | R | R | | R | R | | -| Permissions (Groups & Licenses) | W | | R | R | R | | | | | | | R | | -| Profile (Credentials) | W | R | | R | R | R | | | | | R | | | +| Permissions (Groups & Licenses) | W | | R | R | R | | | | | | | R | | | | | R | | | | Projects | W | W | W | W | W | R | | R | | | R | W | | | Repositories | W | | R | R | W | | | | | | R | R | | | Runs | W | R | R | R | R | W | W | R | | | R | R | | From f74facd20e37f9aae9dda53b1c3fe69cf29fd0e8 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 24 Oct 2024 11:06:43 +0100 Subject: [PATCH 111/327] Update website/docs/docs/cloud/manage-access/invite-users.md --- website/docs/docs/cloud/manage-access/invite-users.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/manage-access/invite-users.md b/website/docs/docs/cloud/manage-access/invite-users.md index e0a17f5ae0d..847d4d8bbc2 100644 --- a/website/docs/docs/cloud/manage-access/invite-users.md +++ b/website/docs/docs/cloud/manage-access/invite-users.md @@ -17,7 +17,7 @@ You must have proper permissions to invite new users: ## Invite new users -1. In your dbt Cloud account, select your profile in the bottom left corner. +1. In your dbt Cloud account, select your account name in the bottom left corner. Then select **Account settings**. 2. Then select **Users**. 3. Click on **Invite Users**. From 7efc1196bd7f0fc0c0c2505c2889cf1c9b4ef581 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 24 Oct 2024 11:08:32 +0100 Subject: [PATCH 112/327] Update invite-users.md update --- website/docs/docs/cloud/manage-access/invite-users.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/website/docs/docs/cloud/manage-access/invite-users.md b/website/docs/docs/cloud/manage-access/invite-users.md index 847d4d8bbc2..0922b4dc991 100644 --- a/website/docs/docs/cloud/manage-access/invite-users.md +++ b/website/docs/docs/cloud/manage-access/invite-users.md @@ -18,15 +18,15 @@ You must have proper permissions to invite new users: ## Invite new users 1. In your dbt Cloud account, select your account name in the bottom left corner. Then select **Account settings**. -2. Then select **Users**. -3. Click on **Invite Users**. +2. Under **Settings**, select **Users**. +3. Click on **Invite users**. -4. In the **Email Addresses** field, enter the email addresses of the users you would like to invite separated by comma, semicolon, or a new line. +4. In the **Email Addresses** field, enter the email addresses of the users you want to invite separated by a comma, semicolon, or a new line. 5. Select the license type for the batch of users from the **License** dropdown. -6. Select the group(s) you would like the invitees to belong to. -7. Click **Send Invitations**. +6. Select the group(s) you want the invitees to belong to. +7. Click **Send invitations**. - If the list of invitees exceeds the number of licenses your account has available, you will receive a warning when you click **Send Invitations** and the invitations will not be sent. From e843de7f3039c0cf51bc0fe59732d54264057968 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Thu, 24 Oct 2024 11:14:38 +0100 Subject: [PATCH 113/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/cloud/connect-data-platform/connnect-bigquery.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index f83b9d0ef1d..904d4171b32 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -91,7 +91,11 @@ The `location` of BigQuery datasets can be set using the `location` setting in a When a `maximum_bytes_billed` value is configured for a BigQuery profile, that allows you to limit how much data your query can process. It’s a safeguard to prevent your query from accidentally processing more data than you expect, which could lead to higher costs. Queries executed by dbt will fail if they exceed the configured maximum bytes threshhold. This configuration should be supplied as an integer number of bytes. +If your `maximum_bytes_billed` is 1000000000, you would enter that value in the `maximum_bytes_billed` field in dbt cloud. +| config | info | type | example | +| ------- | ----| ----- | -------- | +| max bytes billed | info here | integer | 100000 | From 88971bfe5dccf18f98d5d71f37aa44915539e142 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 24 Oct 2024 11:18:47 +0100 Subject: [PATCH 114/327] Update overview.md udpate to preview directly --- website/docs/docs/cloud-integrations/overview.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud-integrations/overview.md b/website/docs/docs/cloud-integrations/overview.md index d925e3e52a7..8334632a7f8 100644 --- a/website/docs/docs/cloud-integrations/overview.md +++ b/website/docs/docs/cloud-integrations/overview.md @@ -13,7 +13,7 @@ Many data applications integrate with dbt Cloud, enabling you to leverage the po

From a5dada2fa917148c0a543303aa87690f6dd30a32 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 24 Oct 2024 11:20:56 +0100 Subject: [PATCH 115/327] Update configure-auto-exposures.md clarify callout so it's clearer --- .../docs/docs/cloud-integrations/configure-auto-exposures.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud-integrations/configure-auto-exposures.md b/website/docs/docs/cloud-integrations/configure-auto-exposures.md index 8fa83c027e6..6a3d8a56326 100644 --- a/website/docs/docs/cloud-integrations/configure-auto-exposures.md +++ b/website/docs/docs/cloud-integrations/configure-auto-exposures.md @@ -70,5 +70,5 @@ dbt Cloud imports everything in the collection(s) and you can continue to view t ## Refresh auto-exposures in jobs :::info Coming soon -Soon, you’ll also be able to use auto-exposures trigger refresh of the data used in your Tableau dashboards from within dbt Cloud. Stay tuned for more on this soon! +Soon, you’ll also be able to use auto-exposures to trigger the refresh of the data used in your Tableau dashboards from within dbt Cloud. Stay tuned for more on this soon! ::: From 24107bb32a2bd07781317d2720de92649426d215 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 24 Oct 2024 10:18:29 -0400 Subject: [PATCH 116/327] Update data test descriptions (#6307) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## What are you changing in this pull request and why? Generic Test descriptions can now be documented Closes https://github.com/dbt-labs/docs.getdbt.com/issues/6293 ## Checklist - [ ] I have reviewed the [Content style guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md) so my content adheres to these guidelines. - [ ] The topic I'm writing about is for specific dbt version(s) and I have versioned it according to the [version a whole page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version) and/or [version a block of content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content) guidelines. - [ ] I have added checklist item(s) to this list for anything anything that needs to happen before this PR is merged, such as "needs technical review" or "change base branch." --- 🚀 Deployment available! Here are the direct links to the updated files: - https://docs-getdbt-com-git-test-description-dbt-labs.vercel.app/reference/resource-properties/description --------- Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> --- .../docs/reference/resource-properties/description.md | 11 +++++------ 1 file changed, 5 insertions(+), 6 deletions(-) diff --git a/website/docs/reference/resource-properties/description.md b/website/docs/reference/resource-properties/description.md index 6f32f75efa4..cf7b2b29a5a 100644 --- a/website/docs/reference/resource-properties/description.md +++ b/website/docs/reference/resource-properties/description.md @@ -13,7 +13,7 @@ description: "This guide explains how to use the description key to add YAML des { label: 'Snapshots', value: 'snapshots', }, { label: 'Analyses', value: 'analyses', }, { label: 'Macros', value: 'macros', }, - { label: 'Singular data tests', value: 'singular_data_tests', }, + { label: 'Data tests', value: 'data_tests', }, ] }> @@ -146,17 +146,17 @@ macros: - + - + ```yml version: 2 data_tests: - - name: singular_data_test_name + - name: data_test_name description: markdown_string ``` @@ -167,13 +167,12 @@ data_tests: -The `description` property is available for singular data tests beginning in dbt v1.9. +The `description` property is available for generic and singular data tests beginning in dbt v1.9. - ## Definition From 62ec3e4dbe977d456f0704142ef772eb09bb0bb8 Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Thu, 24 Oct 2024 15:36:18 +0100 Subject: [PATCH 117/327] udpate imgs --- .../cloud/dbt-cloud-ide/ide-user-interface.md | 18 +++++++++++------- .../cloud-ide/editor-tab-menu-with-save.jpg | Bin 331346 -> 50849 bytes .../dbt-cloud/cloud-ide/ide-basic-layout.jpg | Bin 94517 -> 263044 bytes .../dbt-cloud/cloud-ide/ide-command-bar.jpg | Bin 138037 -> 549913 bytes .../cloud-ide/ide-console-overview.jpg | Bin 98013 -> 132727 bytes .../docs/dbt-cloud/cloud-ide/ide-editing.jpg | Bin 96566 -> 257489 bytes .../ide-editor-command-palette-with-save.jpg | Bin 194580 -> 378844 bytes .../cloud-ide/ide-file-search-with-save.jpg | Bin 237039 -> 93911 bytes .../cloud-ide/ide-git-diff-view-with-save.jpg | Bin 433017 -> 246405 bytes .../ide-global-command-palette-with-save.jpg | Bin 223686 -> 85457 bytes .../docs/dbt-cloud/cloud-ide/ide-minimap.jpg | Bin 73398 -> 164911 bytes .../dbt-cloud/cloud-ide/ide-side-menu.jpg | Bin 31465 -> 63091 bytes .../cloud-ide/lineage-console-tab.jpg | Bin 90676 -> 95268 bytes .../revert-uncommitted-changes-with-save.jpg | Bin 236643 -> 23331 bytes 14 files changed, 11 insertions(+), 7 deletions(-) diff --git a/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md b/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md index 4aec3353544..c1e3bc0a035 100644 --- a/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md +++ b/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md @@ -35,7 +35,7 @@ The IDE streamlines your workflow, and features a popular user interface layout * Added (A) — The IDE detects added files * Deleted (D) — The IDE detects deleted files. - + 5. **Command bar —** The Command bar, located in the lower left of the IDE, is used to invoke [dbt commands](/reference/dbt-commands). When a command is invoked, the associated logs are shown in the Invocation History Drawer. @@ -107,15 +107,19 @@ Starting from dbt v1.6 or higher, when you save changes to a model, you can comp 3. **Build button —** The build button allows users to quickly access dbt commands related to the active model in the File Editor. The available commands include dbt build, dbt test, and dbt run, with options to include only the current resource, the resource and its upstream dependencies, the resource, and its downstream dependencies, or the resource with all dependencies. This menu is available for all executable nodes. -4. **Format button —** The editor has a **Format** button that can reformat the contents of your files. For SQL files, it uses either `sqlfmt` or `sqlfluff`, and for Python files, it uses `black`. +4. **Lint button** — The **Lint** button runs the [linter](/docs/cloud/dbt-cloud-ide/lint-format) on the active file in the File Editor. The linter checks for syntax errors and style issues in your code and displays the results in the **Code quality** tab. -5. **Results tab —** The Results console tab displays the most recent Preview results in tabular format. +5. **dbt Copilot** — [dbt Copilot](/docs/cloud/dbt-copilot) is a powerful artificial intelligence engine that can generate documentation, tests, and semantic models for you. dbt Copilot is available in the IDE for Enterprise plans. + +6. **Results tab —** The Results console tab displays the most recent Preview results in tabular format. -6. **Compiled Code tab —** The Compile button triggers a compile invocation that generates compiled code, which is displayed in the Compiled Code tab. +7. **Code quality tab** — The Code Quality tab displays the results of the linter on the active file in the File Editor. It allows you to view code errors, provides code quality visibility and management, and displays the SQLFluff version used. + +8. **Compiled Code tab —** The Compile generates the compiled code when the Compile button is executed. The Compiled Code tab displays the compiled SQL code for the active file in the File Editor. -7. **Lineage tab —** The Lineage tab in the File Editor displays the active model's lineage or . By default, it shows two degrees of lineage in both directions (`2+model_name+2`), however, you can change it to +model+ (full DAG). +9. **Lineage tab —** The Lineage tab in the File Editor displays the active model's lineage or . By default, it shows two degrees of lineage in both directions (`2+model_name+2`), however, you can change it to +model+ (full DAG). - Double-click a node in the DAG to open that file in a new tab - Expand or shrink the DAG using node selection syntax. - Note, the `--exclude` flag isn't supported. @@ -158,11 +162,11 @@ Use menus and modals to interact with IDE and access useful options to help your - #### File Search You can easily search for and navigate between files using the File Navigation menu, which can be accessed by pressing Command-O or Control-O or clicking on the 🔍 icon in the File Explorer. - + - #### Global Command Palette The Global Command Palette provides helpful shortcuts to interact with the IDE, such as git actions, specialized dbt commands, and compile, and preview actions, among others. To open the menu, use Command-P or Control-P. - + - #### IDE Status modal The IDE Status modal shows the current error message and debug logs for the server. 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Updating screenshot with correct permissions ## Checklist - [ ] I have reviewed the [Content style guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md) so my content adheres to these guidelines. - [ ] The topic I'm writing about is for specific dbt version(s) and I have versioned it according to the [version a whole page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version) and/or [version a block of content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content) guidelines. - [ ] I have added checklist item(s) to this list for anything anything that needs to happen before this PR is merged, such as "needs technical review" or "change base branch." - [ ] The content in this PR requires a dbt release note, so I added one to the [release notes page](https://docs.getdbt.com/docs/dbt-versions/dbt-cloud-release-notes). --- ...ple-snowflake-native-app-service-token.png | Bin 39186 -> 97189 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/website/static/img/docs/cloud-integrations/example-snowflake-native-app-service-token.png b/website/static/img/docs/cloud-integrations/example-snowflake-native-app-service-token.png index 7e4c7ab99da8158a8eb71eefd82dfe49dbdae357..930182969c287127f75d4d3bc201d77ec59382c0 100644 GIT binary patch literal 97189 zcmeFZcR1Vc|3BJ2v_`8ssL?^IR$Hq!RaIN zBW6_zVvht7&a2<+ob&yBe{cQsT<83*^Zv(`OY*v3_ju07^YOgj>FcU9GjTEG=s;{A{%BSz)?%?DCe1G#3G`d!+N&j3+ z!+>U{tQXsv7dKg6vZ?j(g&Xo-z5jOb*2bM&C)dvsHa+1dSXd%o{^VnMnZj3X`n>GJ zUI>TU@#8O^UqCw6qz@N4aS*0P)+Q(G?u97jh&voR5GUNKtJB(e>VwwPSq_zTmBu4> zqc>3ndHjM$$IC}YVaKK~w8b`Txt{Ns!X0a7U48M2#PZYd z9a`t@$ua)LawoxG*S@_G$T)?Usu}u`q}BY+{hjK=$AmKtY&g>S`mRQP&!){G6_@d} zs_EWy^tR*CU(dy?H$J*{h=Yl7(oVU5udgryb8p~V*-@_Io0%ux%0AF|di&Fj^w6V+ zzeK;|`1q;#*I2{SjFX%MWHt1mn!FCz5qxCmn4}(8a&A8@1P99--X=g{ZkcswA199( zACzU43C11hxvk$o-l=c&W1O4uJyNuIgDh?jQJ4L3Eyj~@3u*UZ(r za^Zw^QP1NXQ$fwxTQ_fJOC02wK!h`y=$}zBatS$Cp2=q&C(3kH^D|3N&Z~8SdK$~t zlHAjT+UFXg3!+-sHTel@Wd}ZR`el^Tv_tG`3$>dk_(BdG+V9W7Gmki}J)nD6U^M4PPPsT{Qrym*X*>oDir`1laPT}%ay=HqfsPpEN6c)bh}M<`?o6etmg(sW*3b68)t=S0|-XW1?~E3p4@|J1HN>m?X?1 zpEf-t+cbaR_#{1C|EsP_8lSEpWSEDq7}rc0Ajl279I?rK@GcwaI?O_Dk@2wetYmL* zncT>Thg(*qOlzm!HekAND_TGKq1=AP%<6jP#9YoeIPpB4tHU|GnAjIkXHwBLvMlj} zr#-AerD_qDL+Xv-x0D(npLUOp9t++KI^LFat@g5lzc#02pw(jaB=vQld~ba7hXff{ zjQ`YoROhjM4PW<}E>bCH={8qKi#=cQ!bh6EiF*(IgL|$iLC-5TM)~L>MyM)qbtT|r z1@!7R+g+x8M|r{jgb*EZD=~tiY%K&_`E^R^KTcEtZO`s<3%j5$a&Al zL9((O9)jO6+4H*&N!V~lyTmr zYApHf?)b_0&sW#fQ)LWWK0469hN|9$3|M()a7q>>D_Ua$NtbIyTrJuX?*LADuXPMY z=kN3Ai@5^x*GO2Dl6mnfC$&62t}8}D!=Nomyp}}WXsz)i+mlu~kUj)OPj~B6)z2pm z#oRK!1LyE>x!WSS+;L9{p;Mi~nTT7PBRGBPl7JmX&QS!P2;iYwG-#19CaOE7^Z^DFwgg^Y&O%J|XpmE+JL0SBJu{o{vbM zPKRL~*4(C0(()On3)=K^zJiR_( zcY_J_@Z*lTY(1^qGq737a|%CFlS(T#LBy)h$xqZ}D7kCqs360f{RyAG1bLU1ORrP* ztd#;loPCG@!+Tt5icTnDDLXJRvGnnd6)uH%J!o~73&KY9`+a5W#U>3e zB5^r*>vI+S$y$rYajFV4qJc83g|w?_8k-^(i&FI0vi$L6eL9`^ar`<6TboAtGHj~1 zwm6D;q*LsQzz*2N@1fcY4W--1OfABg7kqk^?)s*E=i1LkT|D{VTt|y3Uvb1o-&^31 zn4hq2Eipy%eBvG3%8rzVAAU=OmYt))IKxg08I?q`Bq!B51pU1GEZC>{{Zy*!=wMmU z7b5+r2`pU=e9b>Tc-MTkuD=Ve|1CTtC-2~tmg~^gX*+bxwSjqUX5AYM#b#hy*~2#w zAK=oms_SViy#7a#{*m~+_0t9Y!z|wwD2YyQM$)IgCHE_gKdgqM!X?)?IDX8j`6Hx< zpmEl|;8VPaly; zL=zMHZ%Y9$b+xGrLv9=IZg22HFDh=9r8riT^}6|ry4gii4WZLcWZF;)DW6~Kybo2{ zeI>?`EkD;ImkA#3s38G-s1Zm0l{JGsSgyz!z z3SJ^ASA(OXIx!`(sK+1hCUBZBH~k!YsalmDzL_W;Z{d1*>W+9-;1<2Z;N;fY6xv}* zaT(sq_)nEQugV-^zC1LkE^115YM50{UnxHHrnvUxnJuzZoo%bbJ0 zEbC>)sn|UtbaCK?-%2xBZOJ`BC#A}QjJ~ZUHAuf2z}SrCv6*PVca_?}k)9e>>(I{R z4PDsKz%nE4E;P@yAvJb?OTd1R@Wh0e)E_;NuEupkdb!}bO@i1xSNOXvlUmc?RpYx7 zRU>6jzwF39MM^kXDfN6c)C;Pzy^x>8`Afv&UZ=U%25C=0WJ*ZU(Lr?Xbmvi%>LRG~ zy+oy88&aj~+ZyUpvsP~ZT4yJi%Jb}ynPQcAWw#&oj<3#g1Cx_C2K

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Deprecating user API key from docs (#6358) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## What are you changing in this pull request and why? User API keys have been deprecated. Removing implementation instructions and references in the docs. Replacing with Account-scoped PATs. ## Checklist - [ ] I have reviewed the [Content style guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md) so my content adheres to these guidelines. - [ ] The topic I'm writing about is for specific dbt version(s) and I have versioned it according to the [version a whole page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version) and/or [version a block of content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content) guidelines. - [ ] I have added checklist item(s) to this list for anything anything that needs to happen before this PR is merged, such as "needs technical review" or "change base branch." - [ ] The content in this PR requires a dbt release note, so I added one to the [release notes page](https://docs.getdbt.com/docs/dbt-versions/dbt-cloud-release-notes). --- 🚀 Deployment available! Here are the direct links to the updated files: - https://docs-getdbt-com-git-remove-token-dbt-labs.vercel.app/docs/dbt-cloud-apis/apis-overview - https://docs-getdbt-com-git-remove-token-dbt-labs.vercel.app/docs/dbt-cloud-apis/authentication - https://docs-getdbt-com-git-remove-token-dbt-labs.vercel.app/docs/dbt-cloud-apis/service-tokens - https://docs-getdbt-com-git-remove-token-dbt-labs.vercel.app/docs/dbt-cloud-apis/user-tokens - https://docs-getdbt-com-git-remove-token-dbt-labs.vercel.app/docs/dbt-versions/release-notes - https://docs-getdbt-com-git-remove-token-dbt-labs.vercel.app/faqs/API/rotate-token - https://docs-getdbt-com-git-remove-token-dbt-labs.vercel.app/faqs/Accounts/find-user-id - https://docs-getdbt-com-git-remove-token-dbt-labs.vercel.app/guides/how-to-use-databricks-workflows-to-run-dbt-cloud-jobs - https://docs-getdbt-com-git-remove-token-dbt-labs.vercel.app/guides/serverless-datadog - https://docs-getdbt-com-git-remove-token-dbt-labs.vercel.app/guides/serverless-pagerduty - https://docs-getdbt-com-git-remove-token-dbt-labs.vercel.app/guides/zapier-ms-teams - https://docs-getdbt-com-git-remove-token-dbt-labs.vercel.app/guides/zapier-refresh-mode-report - https://docs-getdbt-com-git-remove-token-dbt-labs.vercel.app/guides/zapier-slack --------- Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com> --- .../docs/docs/dbt-cloud-apis/apis-overview.md | 2 +- .../docs/dbt-cloud-apis/authentication.md | 8 +-- .../docs/dbt-cloud-apis/service-tokens.md | 2 +- .../docs/docs/dbt-cloud-apis/user-tokens.md | 55 +++++++---------- .../docs/docs/dbt-versions/release-notes.md | 1 + website/docs/faqs/API/rotate-token.md | 60 ------------------- website/docs/faqs/Accounts/find-user-id.md | 2 +- ...abricks-workflows-to-run-dbt-cloud-jobs.md | 2 +- website/docs/guides/serverless-datadog.md | 2 +- website/docs/guides/serverless-pagerduty.md | 2 +- website/docs/guides/zapier-ms-teams.md | 2 +- .../docs/guides/zapier-refresh-mode-report.md | 2 +- website/docs/guides/zapier-slack.md | 4 +- 13 files changed, 35 insertions(+), 109 deletions(-) delete mode 100644 website/docs/faqs/API/rotate-token.md diff --git a/website/docs/docs/dbt-cloud-apis/apis-overview.md b/website/docs/docs/dbt-cloud-apis/apis-overview.md index 055edea72b6..05964ace871 100644 --- a/website/docs/docs/dbt-cloud-apis/apis-overview.md +++ b/website/docs/docs/dbt-cloud-apis/apis-overview.md @@ -20,4 +20,4 @@ If you want to learn more about webhooks, refer to [Webhooks for your jobs](/doc ## How to Access the APIs -dbt Cloud supports two types of API Tokens: [user tokens](/docs/dbt-cloud-apis/user-tokens) and [service account tokens](/docs/dbt-cloud-apis/service-tokens). Requests to the dbt Cloud APIs can be authorized using these tokens. +dbt Cloud supports two types of API Tokens: [personal access tokens](/docs/dbt-cloud-apis/user-tokens) and [service account tokens](/docs/dbt-cloud-apis/service-tokens). Requests to the dbt Cloud APIs can be authorized using these tokens. diff --git a/website/docs/docs/dbt-cloud-apis/authentication.md b/website/docs/docs/dbt-cloud-apis/authentication.md index 8729cc0641d..43a08d84fd7 100644 --- a/website/docs/docs/dbt-cloud-apis/authentication.md +++ b/website/docs/docs/dbt-cloud-apis/authentication.md @@ -8,7 +8,7 @@ pagination_prev: null

    @@ -23,9 +23,7 @@ pagination_prev: null ## Types of API access tokens -**User API keys (Legacy):** User API keys were historically the only method available to access dbt Cloud APIs on the user’s behalf. They are scoped to the user and not the account. User API Keys will eventually be deprecated for the more secure personal access tokens. - -**Personal access tokens (New):** Personal access tokens (PATs) are the new, preferred, and secure way of accessing dbt Cloud APIs on behalf of a user. They are more secure than user API Keys. PATs are scoped to an account and can be enhanced with more granularity and control. +**Personal access tokens:** Preferred and secure way of accessing dbt Cloud APIs on behalf of a user. PATs are scoped to an account and can be enhanced with more granularity and control. **Service tokens:** Service tokens are similar to service accounts and are the preferred method to enable access on behalf of the dbt Cloud account. @@ -33,7 +31,7 @@ pagination_prev: null You should use service tokens broadly for any production workflow where you need a service account. You should use PATs only for developmental workflows _or_ dbt Cloud client workflows that require user context. The following examples show you when to use a personal access token (PAT) or a service token: -* **Connecting a partner integration to dbt Cloud** — Some examples include the [dbt Semantic Layer Google Sheets integration](/docs/cloud-integrations/avail-sl-integrations), Hightouch, Datafold, a custom app you’ve created, etc. These types of integrations should use a service token instead of a PAT because service tokens give you visibility, and you can scope them to only what the integration needs and ensure the least privilege. We highly recommend switching to a service token if you’re using a user API key for these integrations today. +* **Connecting a partner integration to dbt Cloud** — Some examples include the [dbt Semantic Layer Google Sheets integration](/docs/cloud-integrations/avail-sl-integrations), Hightouch, Datafold, a custom app you’ve created, etc. These types of integrations should use a service token instead of a PAT because service tokens give you visibility, and you can scope them to only what the integration needs and ensure the least privilege. We highly recommend switching to a service token if you’re using a personal acess token for these integrations today. * **Production Terraform** — Use a service token since this is a production workflow and is acting as a service account and not a user account. * **Cloud CLI** — Use a PAT since the dbt Cloud CLI works within the context of a user (the user is making the requests and has to operate within the context of their user account). * **Testing a custom script and staging Terraform or Postman** — We recommend using a PAT as this is a developmental workflow and is scoped to the user making the changes. When you push this script or Terraform into production, use a service token instead. diff --git a/website/docs/docs/dbt-cloud-apis/service-tokens.md b/website/docs/docs/dbt-cloud-apis/service-tokens.md index 4c0f6222fe9..a077b230c28 100644 --- a/website/docs/docs/dbt-cloud-apis/service-tokens.md +++ b/website/docs/docs/dbt-cloud-apis/service-tokens.md @@ -12,7 +12,7 @@ If you have service tokens created on or before July 18, 2023, please read [this ::: -Service account tokens enable you to securely authenticate with the dbt Cloud API by assigning each token a narrow set of permissions that more precisely manages access to the API. While similar to [User API tokens](user-tokens), service account tokens belong to an account rather than a user. +Service account tokens enable you to securely authenticate with the dbt Cloud API by assigning each token a narrow set of permissions that more precisely manages access to the API. While similar to [personal access tokens](user-tokens), service account tokens belong to an account rather than a user. You can use service account tokens for system-level integrations that do not run on behalf of any one user. Assign any permission sets available in dbt Cloud to your service account token, which can vary slightly depending on your plan: diff --git a/website/docs/docs/dbt-cloud-apis/user-tokens.md b/website/docs/docs/dbt-cloud-apis/user-tokens.md index 7e0e5400eb7..02a81d80139 100644 --- a/website/docs/docs/dbt-cloud-apis/user-tokens.md +++ b/website/docs/docs/dbt-cloud-apis/user-tokens.md @@ -4,36 +4,39 @@ id: "user-tokens" pagination_next: "docs/dbt-cloud-apis/service-tokens" --- -# User tokens +# Account-scoped personal access tokens -:::note Announcement +:::Warning -_User tokens will be deprecated on October 22nd, 2024._ - -The [user API tokens](/docs/dbt-cloud-apis/user-tokens#user-api-tokens) are being replaced by [account-scoped personal access tokens(PATs)](#account-scoped-personal-access-tokens). If you do not rotate your existing user tokens with PATs by October 22nd, the services using the tokens will encounter errors. +User API tokens have been deprecated and will no longer work. [Migrate](#migrate-from-user-api-keys-to-personal-access-tokens) to personal access tokens to resume services. +::: -Cloud CLI config files need to be re-downloaded before October 22nd, 2024. +Each dbt Cloud user with a [Developer license](https://docs.getdbt.com/docs/cloud/manage-access/seats-and-users) can create a new personal access token (PAT) to access the dbt Cloud API and dbt Cloud CLI. This token can execute queries against the dbt Cloud API on the user's behalf. To access dbt Cloud APIs and resources on behalf of the _account_, we recommend using service tokens instead. Learn more about [which token type you should use](/docs/dbt-cloud-apis/authentication#which-token-type-should-you-use) to understand the token differences. -The current API key is located under **Personal Settings → API Key.** +PATs inherit the permissions of the user that created them. For example, if a developer-licensed user with Project Admin role access to specific projects creates a PAT, the token will get the Project Admin role with access to the same projects as the user. These tokens are also account-specific, so if a user has access to more than one dbt Cloud account with the same email address, they need to create a unique PAT for each one of these accounts. -Please [contact support](/docs/dbt-support#dbt-cloud-support) with any questions or concerns. +## Create a personal access token -::: +Creating an account-scoped personal access token (PAT) requires only a few steps. +1. Navigate to your **Account Settings**, expand **API tokens** and click **Personal tokens**. +2. Click **Create personal access token**. +3. Give the token a descriptive name and click **Save**. -## Account-scoped personal access tokens +4. Copy the token before closing the window. _It will not be available after, and you will have to create a new token if you lose it._ -:::info New -On Feb 7, 2024, we introduced a new type of token for individual users called personal access tokens. Note that these differ from [Service Tokens or API Keys](/docs/dbt-cloud-apis/authentication#types-of-api-access-tokens). Before this release, user API keys were the only way to access dbt Cloud API on behalf of the user. These API Keys were user-specific and were not scoped to an account. To enhance the security of dbt Cloud, we are moving away from this model to account-specific tokens. +To maintain best security practices, it's recommended that you regularly rotate your PATs. To do so, create a new token and delete the old one once it's in place. -::: +## Delete a personal access token -Each dbt Cloud user with a [Developer license](https://docs.getdbt.com/docs/cloud/manage-access/seats-and-users) can create a new personal access token (PAT) to access the dbt Cloud API and dbt Cloud CLI. This token can execute queries against the dbt Cloud API on the user's behalf. To access dbt Cloud APIs and resources on behalf of the _account_, we recommend using service Tokens instead. Learn more about [which token type you should use](/docs/dbt-cloud-apis/authentication#which-token-type-should-you-use) to understand the token differences. +To permanently delete a PAT: -PATs inherit the permissions of the user that created them. For example, if a developer-licensed user with Project Admin role access to specific projects creates a PAT, the token will get the Project Admin role with access to the same projects as the user. These tokens are also account-specific, so if a user has access to more than one dbt Cloud account with the same email address, they need to create a unique PAT for each one of these accounts. +1. Navigate to your **Account Settings**, expand **API tokens** and click **Personal tokens**. +2. Find the token you want to delete and click "X" to the right of the token description fields. +3. **Confirm delete** and the token will no longer be valid. -### Migrate from user API keys to personal access tokens +## Migrate deprecated user API keys to personal access tokens The migration to PATs is critical if you are using user API keys today. The current API key is located under **Personal Settings → API Key**. @@ -55,28 +58,12 @@ If you’re using any undocumented and unsupported API endpoints, please note th ::: -### Using the new personal access tokens +### Using the personal access tokens Are you using a user API key today to access dbt Cloud APIs in any of your workflows? If not, you don’t have any action to take. If you are using a user API key, please follow the instructions below. 1. Make a list of all the places where you’re making a call to the dbt Cloud API using the dbt Cloud user API key. 2. Create a new personal access token under **Account Settings → API Tokens → Personal Tokens.** 3. Create and copy the new PAT to replace the old user API key. -4. Ensure that you’re using a PAT only where it's needed. For any flows that requires a service account, please use a service token. Read the section below for more information. - -## User API tokens - -Each dbt Cloud user with a [Developer license](/docs/cloud/manage-access/seats-and-users) is -issued an API token. This token can be used to execute queries against -the dbt Cloud API on the user's behalf. User API tokens inherit the -permissions of the user that they were created for. - -You can find your user API token in the **Profile page** under the **API Access** -label. - - - -## FAQs +4. Ensure that you’re using a PAT only where it's needed. For flows that require a service account, please use a service token. - - diff --git a/website/docs/docs/dbt-versions/release-notes.md b/website/docs/docs/dbt-versions/release-notes.md index 982d72e8fc0..e28a5233f9f 100644 --- a/website/docs/docs/dbt-versions/release-notes.md +++ b/website/docs/docs/dbt-versions/release-notes.md @@ -20,6 +20,7 @@ Release notes are grouped by month for both multi-tenant and virtual private clo ## October 2024 +- **Behavior change:** User API tokens have been deprecated. Update to [personal access tokens](/docs/dbt-cloud-apis/user-tokens) if you have any still in use. - **New**: The dbt Cloud IDE supports signed commits for Git, available for Enterprise plans. You can sign your Git commits when pushing them to the repository to prevent impersonation and enhance security. Supported Git providers are GitHub and GitLab. Refer to [Git commit signing](/docs/cloud/dbt-cloud-ide/git-commit-signing.md) for more information. - **New:** With dbt Mesh, you can now enable bidirectional dependencies across your projects. Previously, dbt enforced dependencies to only go in one direction. dbt checks for cycles across projects and raises errors if any are detected. For details, refer to [Cycle detection](/docs/collaborate/govern/project-dependencies#cycle-detection). There's also the [Intro to dbt Mesh](/best-practices/how-we-mesh/mesh-1-intro) guide to help you learn more best practices. diff --git a/website/docs/faqs/API/rotate-token.md b/website/docs/faqs/API/rotate-token.md deleted file mode 100644 index 8dea2d0b875..00000000000 --- a/website/docs/faqs/API/rotate-token.md +++ /dev/null @@ -1,60 +0,0 @@ ---- -title: How can I rotate my user API token? -description: "Instructions on how to rotate API token" -sidebar_label: 'Rotate your user API token' -id: rotate-token ---- - -For security reasons and best practices, you should aim to rotate API keys every so often. You can rotate your API key automatically with the push of a button in your dbt Cloud environment or manually using the command line. - - - - - -To automatically rotate your API key: - -1. Navigate to the Account settings by clicking the **gear icon** in the top right of your dbt Cloud account. -2. Select **API Access** from the lefthand side. -3. In the **API** pane, click `Rotate`. - - - - - - - -1. Rotate your [User API token](/docs/dbt-cloud-apis/user-tokens) by replacing `YOUR_USER_ID`, `YOUR_CURRENT_PAT_TOKEN`, and `YOUR_ACCESS_URL` with your information in the following request. - -``` -curl --location --request POST 'https://cloud.getdbt.com/api/v3/accounts/YOUR_ACCOUNT_ID/users/YOUR_USER_ID/apikey/' \ ---header 'Authorization: Token YOUR_CURRENT_PAT_TOKEN' -``` - -* Find your `YOUR_USER_ID` by reading [How to find your user ID](/faqs/Accounts/find-user-id). -* Find your `YOUR_CURRENT_TOKEN` by going to **Profile Settings** -> **API Access** and copying the API key. -* Find [`YOUR_ACCESS_URL`](/docs/cloud/about-cloud/access-regions-ip-addresses) for your region and plan. - -If `YOUR_USER_ID` = `123`, `YOUR_CURRENT_TOKEN` = `abcf9g`, then your curl request will be: - -``` -curl --location --request POST 'https://YOUR_ACCESS_URL/api/v2/users/123/apikey/' \ - ---header 'Authorization: Token abcf9g' -``` - -2. Find the new key in the API response or in dbt Cloud. - -3. To find the new key in dbt Cloud, go to **Profile Settings** -> **API Access**. - -### dbt Cloud deployments - -If your [dbt Cloud deployment](/docs/cloud/about-cloud/access-regions-ip-addresses) uses a different access URL, replace `YOUR_ACCESS_URL` with the URL of your instance. - -For example, if your deployment is Virtual Private dbt: - -✅ `http://cloud.customizedurl.getdbt.com/`
    -❌ `http://cloud.getdbt.com/`
    - -
    - -
    diff --git a/website/docs/faqs/Accounts/find-user-id.md b/website/docs/faqs/Accounts/find-user-id.md index 09e3ed35a0b..c7c810d9b3c 100644 --- a/website/docs/faqs/Accounts/find-user-id.md +++ b/website/docs/faqs/Accounts/find-user-id.md @@ -5,7 +5,7 @@ sidebar_label: 'Where can I find my user ID' id: find-user-id --- -Knowing your dbt Cloud user ID can help with actions related to [rotating your API token](/faqs/API/rotate-token), interacting with support, and more. +Knowing your dbt Cloud user ID can help with interacting with support. To find your user ID in dbt Cloud, read the following steps: diff --git a/website/docs/guides/how-to-use-databricks-workflows-to-run-dbt-cloud-jobs.md b/website/docs/guides/how-to-use-databricks-workflows-to-run-dbt-cloud-jobs.md index f420b7845a2..60d67218642 100644 --- a/website/docs/guides/how-to-use-databricks-workflows-to-run-dbt-cloud-jobs.md +++ b/website/docs/guides/how-to-use-databricks-workflows-to-run-dbt-cloud-jobs.md @@ -33,7 +33,7 @@ Using Databricks workflows to call the dbt Cloud job API can be useful for sever ## Set up a Databricks secret scope -1. Retrieve **[User API Token](https://docs.getdbt.com/docs/dbt-cloud-apis/user-tokens#user-api-tokens) **or **[Service Account Token](https://docs.getdbt.com/docs/dbt-cloud-apis/service-tokens#generating-service-account-tokens) **from dbt Cloud +1. Retrieve **[personal access token](https://docs.getdbt.com/docs/dbt-cloud-apis/user-tokens) **or **[Service account token](https://docs.getdbt.com/docs/dbt-cloud-apis/service-tokens#generating-service-account-tokens) **from dbt Cloud 2. Set up a **Databricks secret scope**, which is used to securely store your dbt Cloud API key. 3. Enter the **following commands** in your terminal: diff --git a/website/docs/guides/serverless-datadog.md b/website/docs/guides/serverless-datadog.md index 10444ccae9a..dcb4a851663 100644 --- a/website/docs/guides/serverless-datadog.md +++ b/website/docs/guides/serverless-datadog.md @@ -108,7 +108,7 @@ Wrote config file fly.toml
    ## Store secrets The application requires four secrets to be set, using these names: -- `DBT_CLOUD_SERVICE_TOKEN`: a dbt Cloud [user token](https://docs.getdbt.com/docs/dbt-cloud-apis/user-tokens) or [service account token](https://docs.getdbt.com/docs/dbt-cloud-apis/service-tokens) with at least the `Metdata Only` permission. +- `DBT_CLOUD_SERVICE_TOKEN`: a dbt Cloud [personal access token](https://docs.getdbt.com/docs/dbt-cloud-apis/user-tokens) or [service account token](https://docs.getdbt.com/docs/dbt-cloud-apis/service-tokens) with at least the `Metdata Only` permission. - `DBT_CLOUD_AUTH_TOKEN`: the Secret Key for the dbt Cloud webhook you created earlier. - `DD_API_KEY`: the API key you created earlier. - `DD_SITE`: The Datadog site for your organisation, e.g. `datadoghq.com`. diff --git a/website/docs/guides/serverless-pagerduty.md b/website/docs/guides/serverless-pagerduty.md index ffd25f8989c..a4df65e0304 100644 --- a/website/docs/guides/serverless-pagerduty.md +++ b/website/docs/guides/serverless-pagerduty.md @@ -113,7 +113,7 @@ Make note of the Webhook Secret Key for later. ## Store secrets The application requires three secrets to be set, using these names: -- `DBT_CLOUD_SERVICE_TOKEN`: a dbt Cloud [user token](https://docs.getdbt.com/docs/dbt-cloud-apis/user-tokens) or [service account token](https://docs.getdbt.com/docs/dbt-cloud-apis/service-tokens) with at least the `Metdata Only` permission. +- `DBT_CLOUD_SERVICE_TOKEN`: a dbt Cloud [personal access token](https://docs.getdbt.com/docs/dbt-cloud-apis/user-tokens) or [service account token](https://docs.getdbt.com/docs/dbt-cloud-apis/service-tokens) with at least the `Metdata Only` permission. - `DBT_CLOUD_AUTH_TOKEN`: the Secret Key for the dbt Cloud webhook you created earlier. - `PD_ROUTING_KEY`: the integration key for the PagerDuty integration you created earlier. diff --git a/website/docs/guides/zapier-ms-teams.md b/website/docs/guides/zapier-ms-teams.md index 171ed19193a..500ae4bf9e5 100644 --- a/website/docs/guides/zapier-ms-teams.md +++ b/website/docs/guides/zapier-ms-teams.md @@ -56,7 +56,7 @@ The sample body's values are hard-coded and not reflective of your project, but ## Store secrets -In the next step, you will need the Webhook Secret Key from the prior step, and a dbt Cloud [user token](https://docs.getdbt.com/docs/dbt-cloud-apis/user-tokens) or [service account token](https://docs.getdbt.com/docs/dbt-cloud-apis/service-tokens). +In the next step, you will need the Webhook Secret Key from the prior step, and a dbt Cloud [personal access token](https://docs.getdbt.com/docs/dbt-cloud-apis/user-tokens) or [service account token](https://docs.getdbt.com/docs/dbt-cloud-apis/service-tokens). Zapier allows you to [store secrets](https://help.zapier.com/hc/en-us/articles/8496293271053-Save-and-retrieve-data-from-Zaps), which prevents your keys from being displayed in plaintext in the Zap code. You will be able to access them via the [StoreClient utility](https://help.zapier.com/hc/en-us/articles/8496293969549-Store-data-from-code-steps-with-StoreClient). diff --git a/website/docs/guides/zapier-refresh-mode-report.md b/website/docs/guides/zapier-refresh-mode-report.md index c3bd1a11778..23dd19d0b4c 100644 --- a/website/docs/guides/zapier-refresh-mode-report.md +++ b/website/docs/guides/zapier-refresh-mode-report.md @@ -46,7 +46,7 @@ Once you've tested the endpoint in dbt Cloud, go back to Zapier and click **Test The sample body's values are hard-coded and not reflective of your project, but they give Zapier a correctly-shaped object during development. ## Store secrets -In the next step, you will need the Webhook Secret Key from the prior step, and a dbt Cloud [user token](https://docs.getdbt.com/docs/dbt-cloud-apis/user-tokens) or [service account token](https://docs.getdbt.com/docs/dbt-cloud-apis/service-tokens), as well as a [Mode API token and secret](https://mode.com/developer/api-reference/authentication/). +In the next step, you will need the Webhook Secret Key from the prior step, and a dbt Cloud [personal access token](https://docs.getdbt.com/docs/dbt-cloud-apis/user-tokens) or [service account token](https://docs.getdbt.com/docs/dbt-cloud-apis/service-tokens), as well as a [Mode API token and secret](https://mode.com/developer/api-reference/authentication/). Zapier allows you to [store secrets](https://help.zapier.com/hc/en-us/articles/8496293271053-Save-and-retrieve-data-from-Zaps), which prevents your keys from being displayed in plaintext in the Zap code. You will be able to access them via the [StoreClient utility](https://help.zapier.com/hc/en-us/articles/8496293969549-Store-data-from-code-steps-with-StoreClient). diff --git a/website/docs/guides/zapier-slack.md b/website/docs/guides/zapier-slack.md index c3e7383c007..e11da493b67 100644 --- a/website/docs/guides/zapier-slack.md +++ b/website/docs/guides/zapier-slack.md @@ -50,7 +50,7 @@ Once you've tested the endpoint in dbt Cloud, go back to Zapier and click **Test The sample body's values are hardcoded and not reflective of your project, but they give Zapier a correctly-shaped object during development. ## Store secrets -In the next step, you will need the Webhook Secret Key from the prior step, and a dbt Cloud [user token](https://docs.getdbt.com/docs/dbt-cloud-apis/user-tokens) or [service account token](https://docs.getdbt.com/docs/dbt-cloud-apis/service-tokens). +In the next step, you will need the Webhook Secret Key from the prior step, and a dbt Cloud [personal access token](https://docs.getdbt.com/docs/dbt-cloud-apis/user-tokens) or [service account token](https://docs.getdbt.com/docs/dbt-cloud-apis/service-tokens). Zapier allows you to [store secrets](https://help.zapier.com/hc/en-us/articles/8496293271053-Save-and-retrieve-data-from-Zaps). This prevents your keys from being displayed as plaintext in the Zap code. You can access them with the [StoreClient utility](https://help.zapier.com/hc/en-us/articles/8496293969549-Store-data-from-code-steps-with-StoreClient). @@ -215,7 +215,7 @@ Sometimes dbt Cloud posts the message about the run failing before the run's art A one-minute delay is generally sufficient. ### 5. Store secrets -In the next step, you will need either a dbt Cloud [user token](https://docs.getdbt.com/docs/dbt-cloud-apis/user-tokens) or [service account token](https://docs.getdbt.com/docs/dbt-cloud-apis/service-tokens). +In the next step, you will need either a dbt Cloud [personal access token](https://docs.getdbt.com/docs/dbt-cloud-apis/user-tokens) or [service account token](https://docs.getdbt.com/docs/dbt-cloud-apis/service-tokens). Zapier allows you to [store secrets](https://help.zapier.com/hc/en-us/articles/8496293271053-Save-and-retrieve-data-from-Zaps). This prevents your keys from being displayed as plaintext in the Zap code. You can access them with the [StoreClient utility](https://help.zapier.com/hc/en-us/articles/8496293969549-Store-data-from-code-steps-with-StoreClient). From 1465b5948ddb1f2351f136e6ab56cadc222bfd6b Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 25 Oct 2024 10:56:01 +0100 Subject: [PATCH 120/327] Update configure-auto-exposures.md update link and add clarifying permissions note. raised in [internal slack](https://dbt-labs.slack.com/archives/C02NCQ9483C/p1729825822965409) --- .../docs/docs/cloud-integrations/configure-auto-exposures.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/docs/docs/cloud-integrations/configure-auto-exposures.md b/website/docs/docs/cloud-integrations/configure-auto-exposures.md index 6a3d8a56326..42e36e572b3 100644 --- a/website/docs/docs/cloud-integrations/configure-auto-exposures.md +++ b/website/docs/docs/cloud-integrations/configure-auto-exposures.md @@ -30,12 +30,12 @@ To access the features, you should meet the following: This section of the document explains the steps you need to set up the auto-exposures integration with Tableau. Once you've set this up in Tableau and dbt Cloud, you can view the [auto-exposures](/docs/collaborate/auto-exposures#view-auto-exposures-in-dbt-explorer) in dbt Explorer. -To set up [personal access tokens (PATs)](/docs/dbt-cloud-apis/user-tokens#using-the-new-personal-access-tokens) needed for auto exposures, ask a site admin to configure it for the account. +To set up [personal access tokens (PATs)](https://help.tableau.com/current/server/en-us/security_personal_access_tokens.htm) needed for auto exposures, ask a site admin to configure it for the account. 1. Ensure you or a site admin enables PATs for the account in Tableau. -2. Create a PAT that you can add to dbt Cloud to pull in Tableau metadata for auto exposures. +2. Create a PAT that you can add to dbt Cloud to pull in Tableau metadata for auto exposures. Ensure the user creating the PAT has access to collections/folders, as the PAT only grants access matching the creator's existing privileges. 3. Copy the **Secret** and the **Token name** and enter them in dbt Cloud. The secret is only displayed once, so store it in a safe location (like a password manager). From 526f05cf3d8ef35346c36155d51dc40c0cf13820 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 25 Oct 2024 11:49:51 +0100 Subject: [PATCH 121/327] Update website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md Co-authored-by: nataliefiann <120089939+nataliefiann@users.noreply.github.com> --- website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md b/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md index c1e3bc0a035..36c6cc898dc 100644 --- a/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md +++ b/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md @@ -119,7 +119,7 @@ Starting from dbt v1.6 or higher, when you save changes to a model, you can comp 8. **Compiled Code tab —** The Compile generates the compiled code when the Compile button is executed. The Compiled Code tab displays the compiled SQL code for the active file in the File Editor. -9. **Lineage tab —** The Lineage tab in the File Editor displays the active model's lineage or . By default, it shows two degrees of lineage in both directions (`2+model_name+2`), however, you can change it to +model+ (full DAG). +9. **Lineage tab —** The Lineage tab in the File Editor displays the active model's lineage or . By default, it shows two degrees of lineage in both directions (`2+model_name+2`), however, you can change it to +model+ (full DAG). To use the lineage: - Double-click a node in the DAG to open that file in a new tab - Expand or shrink the DAG using node selection syntax. - Note, the `--exclude` flag isn't supported. 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zGbS~>Z+%|c&kmXcP~iklZFJk0KZztK{y2EG6e@bx<`lQ%J`&OQn#7fm-zs}_(#N7e z^f@QmkJmEBwai~E9Vu4^sN#W(J$8%Eb!HrUEOZ{761};X9 zbG5pn;^Uo}M2JM;OkVVgT=qx;M!|o>;iR6Z*J(0q{W(U2iWGY?u`1?8dCKZ#clkoi zyALm&>sYuty6P`qCHI=UEp)Lg^#6~`zu)}7aK)wn3(0f&@2?~e=>JmkFzDBk-)Z#M zO#C;Kjm7b!T5w;qzh5&wrm{u1j6a0Oaz)v91W(Y?|MB4O$*l%$Lu9X@rx-l<;nO-s K+L+_^xBd%_GfK1o From 14a3c43a037da1fe7380183b45289c262c950775 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 11:56:21 +0100 Subject: [PATCH 123/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 904d4171b32..8e9856f486c 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -69,7 +69,7 @@ To customize your optional configurations in dbt Cloud: The following are the optional configs you can set in dbt Cloud: -#### Priority + The `priority` for the BigQuery jobs that dbt executes can be configured with the `priority` configuration in your BigQuery profile. The priority field can be set to one of `batch` or `interactive`. For more information on query priority, consult the [BigQuery documentation](https://cloud.google.com/bigquery/docs/running-queries). From 6587b20fc80f0224825951f3c15b453115a95858 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 11:57:16 +0100 Subject: [PATCH 124/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 8e9856f486c..a3720902655 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -73,6 +73,8 @@ The following are the optional configs you can set in dbt Cloud: The `priority` for the BigQuery jobs that dbt executes can be configured with the `priority` configuration in your BigQuery profile. The priority field can be set to one of `batch` or `interactive`. For more information on query priority, consult the [BigQuery documentation](https://cloud.google.com/bigquery/docs/running-queries). + + #### Retries Retries in BigQuery help to ensure that jobs complete successfully by trying again after temporary failures, making your operations more robust and reliable. From 7ed16297936ab8947bd0c68fe3320a431648e7e6 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 11:57:44 +0100 Subject: [PATCH 125/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index a3720902655..350c20e04ff 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -75,7 +75,7 @@ The `priority` for the BigQuery jobs that dbt executes can be configured with th -#### Retries + Retries in BigQuery help to ensure that jobs complete successfully by trying again after temporary failures, making your operations more robust and reliable. From 9d9b811809e6ce17fd82a989bdd3092b79b811af Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 11:58:08 +0100 Subject: [PATCH 126/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 350c20e04ff..70d5072bb91 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -79,6 +79,8 @@ The `priority` for the BigQuery jobs that dbt executes can be configured with th Retries in BigQuery help to ensure that jobs complete successfully by trying again after temporary failures, making your operations more robust and reliable. + + #### Location The `location` of BigQuery datasets can be set using the `location` setting in a BigQuery profile. As per the [BigQuery documentation](https://cloud.google.com/bigquery/docs/locations), `location` may be either a multi-regional location (for example, `EU`, `US`), or a regional location (like `us-west2`). From e8816628ae96426a974e48934dd98566a62905bb Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 11:58:40 +0100 Subject: [PATCH 127/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 70d5072bb91..2c2c99018c2 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -81,7 +81,7 @@ Retries in BigQuery help to ensure that jobs complete successfully by trying aga -#### Location + The `location` of BigQuery datasets can be set using the `location` setting in a BigQuery profile. As per the [BigQuery documentation](https://cloud.google.com/bigquery/docs/locations), `location` may be either a multi-regional location (for example, `EU`, `US`), or a regional location (like `us-west2`). From 40282c03bcb93c45e2593941d00395ce2e4ed028 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 11:58:54 +0100 Subject: [PATCH 128/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 2c2c99018c2..c86b086eae8 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -85,7 +85,7 @@ Retries in BigQuery help to ensure that jobs complete successfully by trying aga The `location` of BigQuery datasets can be set using the `location` setting in a BigQuery profile. As per the [BigQuery documentation](https://cloud.google.com/bigquery/docs/locations), `location` may be either a multi-regional location (for example, `EU`, `US`), or a regional location (like `us-west2`). - + From 11d42d73ef9615ef0149d8aab69d79670645bc33 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 12:00:09 +0100 Subject: [PATCH 129/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index c86b086eae8..4c429e790e4 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -91,7 +91,7 @@ The `location` of BigQuery datasets can be set using the `location` setting in a -#### Maximum bytes build + When a `maximum_bytes_billed` value is configured for a BigQuery profile, that allows you to limit how much data your query can process. It’s a safeguard to prevent your query from accidentally processing more data than you expect, which could lead to higher costs. Queries executed by dbt will fail if they exceed the configured maximum bytes threshhold. This configuration should be supplied as an integer number of bytes. From f80f04a0cd7f5c281063823f6eb13a581379d53d Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 12:00:30 +0100 Subject: [PATCH 130/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 4c429e790e4..decef2c240a 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -101,7 +101,7 @@ If your `maximum_bytes_billed` is 1000000000, you would enter that value in the | ------- | ----| ----- | -------- | | max bytes billed | info here | integer | 100000 | - + From 2f135e2b58c18fea8096bdba0a8853d78a00e114 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 12:01:04 +0100 Subject: [PATCH 131/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index decef2c240a..b286436b889 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -106,7 +106,7 @@ If your `maximum_bytes_billed` is 1000000000, you would enter that value in the -#### Execution project + By default, dbt will use the specified `project`/`database` as both: From ef39d65689b9e4afc60369c197cd7bd238efe1b7 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 25 Oct 2024 12:01:06 +0100 Subject: [PATCH 132/327] Update website/docs/docs/use-dbt-semantic-layer/dbt-sl.md --- website/docs/docs/use-dbt-semantic-layer/dbt-sl.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/use-dbt-semantic-layer/dbt-sl.md b/website/docs/docs/use-dbt-semantic-layer/dbt-sl.md index 774036bf6e5..71e9d52c888 100644 --- a/website/docs/docs/use-dbt-semantic-layer/dbt-sl.md +++ b/website/docs/docs/use-dbt-semantic-layer/dbt-sl.md @@ -13,7 +13,7 @@ The dbt Semantic Layer, powered by [MetricFlow](/docs/build/about-metricflow), s Moving metric definitions out of the BI layer and into the modeling layer allows data teams to feel confident that different business units are working from the same metric definitions, regardless of their tool of choice. If a metric definition changes in dbt, it’s refreshed everywhere it’s invoked and creates consistency across all applications. To ensure secure access control, the dbt Semantic Layer implements robust [access permissions](/docs/use-dbt-semantic-layer/setup-sl#set-up-dbt-semantic-layer) mechanisms. - + Refer to the [dbt Semantic Layer FAQs](/docs/use-dbt-semantic-layer/sl-faqs) or [Why we need a universal semantic layer](https://www.getdbt.com/blog/universal-semantic-layer/) blog post to learn more. From 2b622219116e4643b10bd84b4208c803334647bc Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 12:01:32 +0100 Subject: [PATCH 133/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index b286436b889..84354fbd1d0 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -115,6 +115,8 @@ By default, dbt will use the specified `project`/`database` as both: Optionally, you may specify an execution project to bill for query execution, instead of the project/database where you materialize most resources. + + #### Impersonate service account This feature allows users authenticating using local OAuth to access BigQuery resources based on the permissions of a service account. From 7064037141c7278ab22d0165ab5a33bf3766a0be Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 12:02:05 +0100 Subject: [PATCH 134/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 84354fbd1d0..2cf34c52267 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -117,7 +117,7 @@ Optionally, you may specify an execution project to bill for query execution, in -#### Impersonate service account + This feature allows users authenticating using local OAuth to access BigQuery resources based on the permissions of a service account. From e2cc88bff4bee0831e6d80b29c7ad8a82757c0fb Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 12:02:30 +0100 Subject: [PATCH 135/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 2cf34c52267..a06e5d959c2 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -123,6 +123,8 @@ This feature allows users authenticating using local OAuth to access BigQuery re For a general overview of this process, see the official docs for [Creating Short-lived Service Account Credentials](https://cloud.google.com/iam/docs/create-short-lived-credentials-direct). + + #### Job retry deadline seconds Job retry deadline seconds is the maximum amount of time BigQuery will spend retrying a job before it gives up. From a5eca1a619dcd94e27e0aa890443ff54ba3b0682 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 12:03:07 +0100 Subject: [PATCH 136/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index a06e5d959c2..b67f64ebc0f 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -129,7 +129,7 @@ For a general overview of this process, see the official docs for [Creating Shor Job retry deadline seconds is the maximum amount of time BigQuery will spend retrying a job before it gives up. -#### Job creation timeout seconds + Job creation timeout seconds is the maximum time BigQuery will wait to start the job. If the job doesn’t start within that time, it times out. From dce48269587e092493fbf7dd2e01ddf4fcd8cdc5 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 12:03:49 +0100 Subject: [PATCH 137/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index b67f64ebc0f..e211547f1af 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -133,6 +133,8 @@ Job retry deadline seconds is the maximum amount of time BigQuery will spend ret Job creation timeout seconds is the maximum time BigQuery will wait to start the job. If the job doesn’t start within that time, it times out. + + #### Google cloud storage bucket Everything you store in Cloud Storage must be placed inside a [bucket](https://cloud.google.com/storage/docs/buckets). Buckets help you organize your data and manage access to it. From 01ed823a5d862398d2a9638230e64a011671f7c3 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 12:04:31 +0100 Subject: [PATCH 138/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index e211547f1af..0573eff01d6 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -125,7 +125,7 @@ For a general overview of this process, see the official docs for [Creating Shor -#### Job retry deadline seconds + Job retry deadline seconds is the maximum amount of time BigQuery will spend retrying a job before it gives up. From 63e9edbf09a019dc2b40a8f9a57bd90851d02bc2 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 12:04:51 +0100 Subject: [PATCH 139/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 0573eff01d6..326d7872d21 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -129,6 +129,8 @@ For a general overview of this process, see the official docs for [Creating Shor Job retry deadline seconds is the maximum amount of time BigQuery will spend retrying a job before it gives up. + + Job creation timeout seconds is the maximum time BigQuery will wait to start the job. If the job doesn’t start within that time, it times out. From 31267ad86287c1c676d38eea7baa6e0883a27908 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 12:05:28 +0100 Subject: [PATCH 140/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 326d7872d21..280c3948d6e 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -137,7 +137,7 @@ Job creation timeout seconds is the maximum time BigQuery will wait to start the -#### Google cloud storage bucket + Everything you store in Cloud Storage must be placed inside a [bucket](https://cloud.google.com/storage/docs/buckets). Buckets help you organize your data and manage access to it. From 532351e2a87dea0179abf3b860252f9dd394d53e Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 12:05:51 +0100 Subject: [PATCH 141/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 280c3948d6e..c86d9b83603 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -141,6 +141,8 @@ Job creation timeout seconds is the maximum time BigQuery will wait to start the Everything you store in Cloud Storage must be placed inside a [bucket](https://cloud.google.com/storage/docs/buckets). Buckets help you organize your data and manage access to it. + + #### Dataproc region A designated location in the cloud where you can run your data processing jobs efficiently. This region must match the location of your BigQuery dataset if you want to use Dataproc with BigQuery to ensure data doesn't move across regions, which can be inefficient and costly. From 48966b8e13ff6613f3960a81948a81be1317f4f5 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 12:06:24 +0100 Subject: [PATCH 142/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index c86d9b83603..f4a58d20519 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -143,7 +143,7 @@ Everything you store in Cloud Storage must be placed inside a [bucket](https://c -#### Dataproc region + A designated location in the cloud where you can run your data processing jobs efficiently. This region must match the location of your BigQuery dataset if you want to use Dataproc with BigQuery to ensure data doesn't move across regions, which can be inefficient and costly. From d22a5fa4f88b1cfd1eea1386625014c819312a64 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 12:06:49 +0100 Subject: [PATCH 143/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index f4a58d20519..5371a96dbf4 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -149,6 +149,8 @@ A designated location in the cloud where you can run your data processing jobs e For more information on [dataproc regions](https://cloud.google.com/bigquery/docs/locations), refer to the BigQuery documentation. + + #### Dataproc cluster name A unique label you give to your group of virtual machines to help you identify and manage your data processing tasks in the cloud. When you integrate Dataproc with BigQuery, you need to provide the cluster name so BigQuery knows which specific set of resources (the cluster) to use for running the data jobs. From 62ff36d9842c2cdc872be8c2eaf582c9794331f4 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 12:07:19 +0100 Subject: [PATCH 144/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 5371a96dbf4..65d8d2aae73 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -151,7 +151,7 @@ For more information on [dataproc regions](https://cloud.google.com/bigquery/doc -#### Dataproc cluster name + A unique label you give to your group of virtual machines to help you identify and manage your data processing tasks in the cloud. When you integrate Dataproc with BigQuery, you need to provide the cluster name so BigQuery knows which specific set of resources (the cluster) to use for running the data jobs. From 59a4d35c1b1e42c8c3b5d4ca55598e2fe94964b2 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 12:07:46 +0100 Subject: [PATCH 145/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 65d8d2aae73..cc7b9671e47 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -157,6 +157,8 @@ A unique label you give to your group of virtual machines to help you identify a Have a look at [Dataproc's document on Create a cluster](https://cloud.google.com/dataproc/docs/guides/create-cluster) for an overview on how clusters work. + + ### Account level connections and credential management You can re-use connections across multiple projects with [global connections](/docs/cloud/connect-data-platform/about-connections#migration-from-project-level-connections-to-account-level-connections). Connections are attached at the environment level (formerly project level), so you can utilize multiple connections inside of a single project (to handle dev, staging, production, etc.). From 723be191e5fa18e58993407dbdd39b07e6f9621b Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 13:28:28 +0100 Subject: [PATCH 146/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index cc7b9671e47..d0f20ab2a53 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -58,7 +58,8 @@ In BigQuery, optional configurations let you tailor settings for tasks such as q To customize your optional configurations in dbt Cloud: -- Click **Account home** from the left-hand side bar menu in dbt Cloud +- Click your name at the bottom left-hand side bar menu in dbt Cloud +- Select **Profile** from the menu - From there, click **Project** and select your BigQuery project - Select your BigQuery project from the left-hand menu - Click **Settings** towards the top right and a **Project details** window will open From df243a822e64a71ed125d5d371819f9a613b2567 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 25 Oct 2024 14:26:47 +0100 Subject: [PATCH 147/327] add teradata this pr adds teradata qs to the list --- website/docs/docs/get-started-dbt.md | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/website/docs/docs/get-started-dbt.md b/website/docs/docs/get-started-dbt.md index 1aba57962fd..428253ec139 100644 --- a/website/docs/docs/get-started-dbt.md +++ b/website/docs/docs/get-started-dbt.md @@ -64,6 +64,12 @@ Learn more about [dbt Cloud features](/docs/cloud/about-cloud/dbt-cloud-feature link="https://docs.getdbt.com/guides/starburst-galaxy" icon="starburst"/> + +

    ## dbt Core From 920f69e924ac0bb24856b4ab43d16f6432e9bbf7 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 14:49:41 +0100 Subject: [PATCH 148/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index d0f20ab2a53..ec51bc2d13a 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -70,7 +70,7 @@ To customize your optional configurations in dbt Cloud: The following are the optional configs you can set in dbt Cloud: - + The `priority` for the BigQuery jobs that dbt executes can be configured with the `priority` configuration in your BigQuery profile. The priority field can be set to one of `batch` or `interactive`. For more information on query priority, consult the [BigQuery documentation](https://cloud.google.com/bigquery/docs/running-queries). From 4e66834a3e341a343c3aef1f0eeea162df0b2abd Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 14:50:35 +0100 Subject: [PATCH 149/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index ec51bc2d13a..f78b729a37f 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -76,7 +76,7 @@ The `priority` for the BigQuery jobs that dbt executes can be configured with th - + Retries in BigQuery help to ensure that jobs complete successfully by trying again after temporary failures, making your operations more robust and reliable. From 7a476019130a59e9a62a5a73313e272d4941806c Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 14:50:57 +0100 Subject: [PATCH 150/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index f78b729a37f..b880eb4d2d1 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -82,7 +82,7 @@ Retries in BigQuery help to ensure that jobs complete successfully by trying aga - + The `location` of BigQuery datasets can be set using the `location` setting in a BigQuery profile. As per the [BigQuery documentation](https://cloud.google.com/bigquery/docs/locations), `location` may be either a multi-regional location (for example, `EU`, `US`), or a regional location (like `us-west2`). From 6fb6313fe6a7e206bae51c0079708f14abdd4207 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 14:51:25 +0100 Subject: [PATCH 151/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index b880eb4d2d1..ce1fdad9db4 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -92,7 +92,7 @@ The `location` of BigQuery datasets can be set using the `location` setting in a - + When a `maximum_bytes_billed` value is configured for a BigQuery profile, that allows you to limit how much data your query can process. It’s a safeguard to prevent your query from accidentally processing more data than you expect, which could lead to higher costs. Queries executed by dbt will fail if they exceed the configured maximum bytes threshhold. This configuration should be supplied as an integer number of bytes. From 0a099c1cd4e270f684b70a82face3e05f0032891 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 14:51:46 +0100 Subject: [PATCH 152/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index ce1fdad9db4..bb6fa3ca986 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -107,7 +107,7 @@ If your `maximum_bytes_billed` is 1000000000, you would enter that value in the - + By default, dbt will use the specified `project`/`database` as both: From 051d54b30fd45ee53c8db523ea69f15bf243c009 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 14:52:15 +0100 Subject: [PATCH 153/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index bb6fa3ca986..4ad27ed37d4 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -118,7 +118,7 @@ Optionally, you may specify an execution project to bill for query execution, in - + This feature allows users authenticating using local OAuth to access BigQuery resources based on the permissions of a service account. From 6cf71f5c32e86d07a39e1f762f2605e323e1d4e0 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 14:52:38 +0100 Subject: [PATCH 154/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 4ad27ed37d4..b383b311294 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -126,7 +126,7 @@ For a general overview of this process, see the official docs for [Creating Shor - + Job retry deadline seconds is the maximum amount of time BigQuery will spend retrying a job before it gives up. From 87ad314d71333ec34e31e4f6888c4f70cbc79873 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 14:53:02 +0100 Subject: [PATCH 155/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index b383b311294..5190754df40 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -132,7 +132,7 @@ Job retry deadline seconds is the maximum amount of time BigQuery will spend ret - + Job creation timeout seconds is the maximum time BigQuery will wait to start the job. If the job doesn’t start within that time, it times out. From 1a08896331eeb5944a42c3c95651c4730314aa07 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 14:53:46 +0100 Subject: [PATCH 156/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 5190754df40..839369b5fc9 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -138,7 +138,7 @@ Job creation timeout seconds is the maximum time BigQuery will wait to start the - + Everything you store in Cloud Storage must be placed inside a [bucket](https://cloud.google.com/storage/docs/buckets). Buckets help you organize your data and manage access to it. From 2cefee4a4586df45e902c35c29f715f13b2cebf2 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 14:54:17 +0100 Subject: [PATCH 157/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 839369b5fc9..37786f3ca50 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -144,7 +144,7 @@ Everything you store in Cloud Storage must be placed inside a [bucket](https://c - + A designated location in the cloud where you can run your data processing jobs efficiently. This region must match the location of your BigQuery dataset if you want to use Dataproc with BigQuery to ensure data doesn't move across regions, which can be inefficient and costly. From b4e390da72bdea53214a17556f796b3f4146db69 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 14:54:36 +0100 Subject: [PATCH 158/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 37786f3ca50..ad079581c5d 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -152,7 +152,7 @@ For more information on [dataproc regions](https://cloud.google.com/bigquery/doc - + A unique label you give to your group of virtual machines to help you identify and manage your data processing tasks in the cloud. When you integrate Dataproc with BigQuery, you need to provide the cluster name so BigQuery knows which specific set of resources (the cluster) to use for running the data jobs. From 73ac81ed8ec83a2e1ccb75f2a40ab6e9a0b53a0c Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 14:55:16 +0100 Subject: [PATCH 159/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index ad079581c5d..e42487a064f 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -74,7 +74,7 @@ The following are the optional configs you can set in dbt Cloud: The `priority` for the BigQuery jobs that dbt executes can be configured with the `priority` configuration in your BigQuery profile. The priority field can be set to one of `batch` or `interactive`. For more information on query priority, consult the [BigQuery documentation](https://cloud.google.com/bigquery/docs/running-queries). - + From 911167f3345fc2db28b5d16e6d9ea5bf455c31b6 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 14:55:33 +0100 Subject: [PATCH 160/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index e42487a064f..f77c6d40db4 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -80,7 +80,7 @@ The `priority` for the BigQuery jobs that dbt executes can be configured with th Retries in BigQuery help to ensure that jobs complete successfully by trying again after temporary failures, making your operations more robust and reliable. - + From db7924863956af252391a829adc63b90fb7cf9db Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 14:55:50 +0100 Subject: [PATCH 161/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index f77c6d40db4..fc2c348be85 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -86,7 +86,7 @@ Retries in BigQuery help to ensure that jobs complete successfully by trying aga The `location` of BigQuery datasets can be set using the `location` setting in a BigQuery profile. As per the [BigQuery documentation](https://cloud.google.com/bigquery/docs/locations), `location` may be either a multi-regional location (for example, `EU`, `US`), or a regional location (like `us-west2`). - + From 71f05326deb977ec22a2f3489d68e0e051b7fa08 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 14:56:18 +0100 Subject: [PATCH 162/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index fc2c348be85..6e24bb08b01 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -102,7 +102,7 @@ If your `maximum_bytes_billed` is 1000000000, you would enter that value in the | ------- | ----| ----- | -------- | | max bytes billed | info here | integer | 100000 | - + From 84fb2aeb49e7cd7fb6b13e381be749ca7420bf22 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 14:57:24 +0100 Subject: [PATCH 163/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 6e24bb08b01..8193f3e4bb3 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -116,7 +116,7 @@ By default, dbt will use the specified `project`/`database` as both: Optionally, you may specify an execution project to bill for query execution, instead of the project/database where you materialize most resources. - + From d2899b35a8051fd452b5dc710ad1899d11b5a9bd Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 14:58:10 +0100 Subject: [PATCH 164/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 8193f3e4bb3..db077ed776b 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -124,7 +124,7 @@ This feature allows users authenticating using local OAuth to access BigQuery re For a general overview of this process, see the official docs for [Creating Short-lived Service Account Credentials](https://cloud.google.com/iam/docs/create-short-lived-credentials-direct). - + From ee72437edfc3134889b038f51317a5cb013c0025 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 14:58:40 +0100 Subject: [PATCH 165/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index db077ed776b..56d4ef90679 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -130,7 +130,7 @@ For a general overview of this process, see the official docs for [Creating Shor Job retry deadline seconds is the maximum amount of time BigQuery will spend retrying a job before it gives up. - + From be823b280d067674b93b54fa4f39984229ff0a7d Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 14:59:11 +0100 Subject: [PATCH 166/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 56d4ef90679..44a70fcd97a 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -136,7 +136,7 @@ Job retry deadline seconds is the maximum amount of time BigQuery will spend ret Job creation timeout seconds is the maximum time BigQuery will wait to start the job. If the job doesn’t start within that time, it times out. - + From a5aaff93ee2fd2999dc4ffd30a49f82ada31cf55 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 14:59:35 +0100 Subject: [PATCH 167/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 44a70fcd97a..6352390fdaa 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -142,7 +142,7 @@ Job creation timeout seconds is the maximum time BigQuery will wait to start the Everything you store in Cloud Storage must be placed inside a [bucket](https://cloud.google.com/storage/docs/buckets). Buckets help you organize your data and manage access to it. - + From 2b73ea752686ef052d14f76dc5fc3f017bea7684 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 14:59:52 +0100 Subject: [PATCH 168/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 6352390fdaa..b2884cfa89a 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -150,7 +150,7 @@ A designated location in the cloud where you can run your data processing jobs e For more information on [dataproc regions](https://cloud.google.com/bigquery/docs/locations), refer to the BigQuery documentation. - + From 6981c64bddcbed9272a86aff01357f697f401348 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Fri, 25 Oct 2024 15:00:08 +0100 Subject: [PATCH 169/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index b2884cfa89a..947b494ab09 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -158,7 +158,7 @@ A unique label you give to your group of virtual machines to help you identify a Have a look at [Dataproc's document on Create a cluster](https://cloud.google.com/dataproc/docs/guides/create-cluster) for an overview on how clusters work. - + ### Account level connections and credential management From 513cce61be1696446189ee9cac009aab10760b0b Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 25 Oct 2024 15:33:56 +0100 Subject: [PATCH 170/327] Update connnect-bigquery.md --- .../cloud/connect-data-platform/connnect-bigquery.md | 9 +-------- 1 file changed, 1 insertion(+), 8 deletions(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 947b494ab09..0da0784241e 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -88,25 +88,18 @@ The `location` of BigQuery datasets can be set using the `location` setting in a - - - - When a `maximum_bytes_billed` value is configured for a BigQuery profile, that allows you to limit how much data your query can process. It’s a safeguard to prevent your query from accidentally processing more data than you expect, which could lead to higher costs. Queries executed by dbt will fail if they exceed the configured maximum bytes threshhold. This configuration should be supplied as an integer number of bytes. If your `maximum_bytes_billed` is 1000000000, you would enter that value in the `maximum_bytes_billed` field in dbt cloud. -| config | info | type | example | +| Config | Description | Type | Example | | ------- | ----| ----- | -------- | | max bytes billed | info here | integer | 100000 | - - - By default, dbt will use the specified `project`/`database` as both: From cb847e81a94dfdc2c9ab33c72c3fefdaf748976a Mon Sep 17 00:00:00 2001 From: Adam Tworkiewicz Date: Fri, 25 Oct 2024 13:01:43 -0500 Subject: [PATCH 171/327] Fix SQL statements, add claryfing comments --- website/docs/guides/teradata-qs.md | 179 +++++++++++++++++++++++++++-- 1 file changed, 171 insertions(+), 8 deletions(-) diff --git a/website/docs/guides/teradata-qs.md b/website/docs/guides/teradata-qs.md index 88edcfcaa70..d662f3bce3f 100644 --- a/website/docs/guides/teradata-qs.md +++ b/website/docs/guides/teradata-qs.md @@ -75,7 +75,7 @@ If you created your Teradata Vantage database instance at https://clearscape.ter email varchar (100) ) USING ( - LOCATION ('/gs/storage.googleapis.com/clearscape_analytics_demo_data/dbt/rawcustomers.csv') + LOCATION ('/gs/storage.googleapis.com/clearscape_analytics_demo_data/dbt/raw_customers.csv') ) NO PRIMARY INDEX; @@ -137,7 +137,43 @@ Now that you have a repository configured, you can initialize your project and s ## Delete the example models - +You can now delete the files that dbt created when you initialized the project: + +1. Delete the `models/example/` directory. +2. Delete the `example:` key from your `dbt_project.yml` file, and any configurations that are listed under it. + + + + ```yaml + # before + models: + my_new_project: + +materialized: table + example: + +materialized: view + ``` + + + + + + ```yaml + # after + models: + my_new_project: + +materialized: table + ``` + + + +3. Save your changes. +4. Commit your changes and merge to the main branch. + +#### FAQs + + + + ## Build your first model @@ -239,8 +275,6 @@ By default, everything gets created as a view. You can override that at the dire models: jaffle_shop: +materialized: table - example: - +materialized: view ``` @@ -359,7 +393,7 @@ By default, everything gets created as a view. You can override that at the dire from customers - left join customer_orders using (customer_id) + left join customer_orders on customers.customer_id = customer_orders.customer_id ) @@ -448,7 +482,136 @@ Sources make it possible to name and describe the data loaded into your warehous

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    - +## Add tests to your models + +Adding [tests](/docs/build/data-tests) to a project helps validate that your models are working correctly. + +To add tests to your project: + +1. Create a new YAML file in the `models` directory, named `models/schema.yml` +2. Add the following contents to the file: + + + + ```yaml + version: 2 + + models: + - name: bi_customers + columns: + - name: customer_id + tests: + - unique + - not_null + + - name: stg_customers + columns: + - name: customer_id + tests: + - unique + - not_null + + - name: stg_orders + columns: + - name: order_id + tests: + - unique + - not_null + - name: status + tests: + - accepted_values: + values: ['placed', 'shipped', 'completed', 'return_pending', 'returned'] + - name: customer_id + tests: + - not_null + - relationships: + to: ref('stg_customers') + field: customer_id + + ``` + + + +3. Run `dbt test`, and confirm that all your tests passed. + +When you run `dbt test`, dbt iterates through your YAML files, and constructs a query for each test. Each query will return the number of records that fail the test. If this number is 0, then the test is successful. + +#### FAQs + + + + + + + + + + +## Document your models + +Adding [documentation](/docs/build/documentation) to your project allows you to describe your models in rich detail, and share that information with your team. Here, we're going to add some basic documentation to our project. + +1. Update your `models/schema.yml` file to include some descriptions, such as those below. + + + + ```yaml + version: 2 + + models: + - name: bi_customers + description: One record per customer + columns: + - name: customer_id + description: Primary key + tests: + - unique + - not_null + - name: first_order_date + description: NULL when a customer has not yet placed an order. + + - name: stg_customers + description: This model cleans up customer data + columns: + - name: customer_id + description: Primary key + tests: + - unique + - not_null + + - name: stg_orders + description: This model cleans up order data + columns: + - name: order_id + description: Primary key + tests: + - unique + - not_null + - name: status + tests: + - accepted_values: + values: ['placed', 'shipped', 'completed', 'return_pending', 'returned'] + - name: customer_id + tests: + - not_null + - relationships: + to: ref('stg_customers') + field: customer_id + ``` + + + +2. Run `dbt docs generate` to generate the documentation for your project. dbt introspects your project and your warehouse to generate a file with rich documentation about your project. + + +3. Click the book icon in the Develop interface to launch documentation in a new tab. + +#### FAQs + + + + + ## Commit your changes @@ -478,7 +641,7 @@ Use dbt Cloud's Scheduler to deploy your production jobs confidently and build o 2. Click **Create Environment**. 3. In the **Name** field, write the name of your deployment environment. For example, "Production." 4. In the **dbt Version** field, select the latest version from the dropdown. -5. Under **Deployment connection**, enter the name of the dataset you want to use as the target, such as "Analytics". This will allow dbt to build and work with that dataset. For some data warehouses, the target dataset may be referred to as a "schema". +5. Under **Deployment connection**, enter the name of the dataset you want to use as the target, such as `jaffle_shop_prod`. This will allow dbt to build and work with that dataset. 6. Click **Save**. ### Create and run a job @@ -488,7 +651,7 @@ Jobs are a set of dbt commands that you want to run on a schedule. For example, As the `jaffle_shop` business gains more customers, and those customers create more orders, you will see more records added to your source data. Because you materialized the `bi_customers` model as a table, you'll need to periodically rebuild your table to ensure that the data stays up-to-date. This update will happen when you run a job. 1. After creating your deployment environment, you should be directed to the page for a new environment. If not, select **Deploy** in the upper left, then click **Jobs**. -2. Click **Create one** and provide a name, for example, "Production run", and link to the Environment you just created. +2. Click **+ Create job** and then select **Deploy job**. Provide a name, for example, "Production run", and link it to the Environment you just created. 3. Scroll down to the **Execution Settings** section. 4. Under **Commands**, add this command as part of your job if you don't see it: * `dbt build` From 28151cae8ea5ef6f2b06babc2001aa6a2c2bf75b Mon Sep 17 00:00:00 2001 From: Natalie Fiann Date: Fri, 25 Oct 2024 19:08:34 +0100 Subject: [PATCH 172/327] Added two tables --- .../connnect-bigquery.md | 21 ++++++++++++++++--- 1 file changed, 18 insertions(+), 3 deletions(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 0da0784241e..6f85786e97b 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -70,6 +70,21 @@ To customize your optional configurations in dbt Cloud: The following are the optional configs you can set in dbt Cloud: +| Config | Information | Type | Example | +|--------------------------------|------------------------------------------------------------------------------------------------------------------------------|---------|-----------------------------| +| Priority | Sets the priority for BigQuery jobs (either immediate or queued for batch processing) | String | `batch` or `interactive` | +| Retries | Specifies the number of retries for failed jobs due to temporary issues | Integer | `3` | +| Location | Location for creating new datasets | String | `US`, `EU`, `us-west2` | +| Maximum bytes billed | Limits the maximum number of bytes that can be billed for a query | Integer | `1000000000` | +| Impersonate service account | Allows users authenticated locally to access BigQuery resources under a specified service account | String | `service-account@project.iam.gserviceaccount.com` | +| Execution project | Specifies the project ID to bill for query execution | String | `my-project-id` | +| Job retry deadline seconds | Sets the total number of seconds BigQuery will attempt to retry a job if it fails | Integer | `600` | +| Job creation timeout seconds | Specifies the maximum timeout for the job creation step | Integer | `120` | +| Google Cloud Storage bucket | Location for storing objects in Google Cloud Storage | String | `my-bucket` | +| Dataproc region | Specifies the cloud region for running data processing jobs | String | `US`, `EU`, `asia-northeast1` | +| Dataproc cluster name | Assigns a unique identifier to a group of virtual machines in Dataproc | String | `my-cluster` | + + The `priority` for the BigQuery jobs that dbt executes can be configured with the `priority` configuration in your BigQuery profile. The priority field can be set to one of `batch` or `interactive`. For more information on query priority, consult the [BigQuery documentation](https://cloud.google.com/bigquery/docs/running-queries). @@ -94,9 +109,9 @@ When a `maximum_bytes_billed` value is configured for a BigQuery profile, that a If your `maximum_bytes_billed` is 1000000000, you would enter that value in the `maximum_bytes_billed` field in dbt cloud. -| Config | Description | Type | Example | -| ------- | ----| ----- | -------- | -| max bytes billed | info here | integer | 100000 | +| Config | Description | Type | Example | +| ---------------- | ------------------------------------------------------------------------| ------- | -------- | +| Max bytes billed | The max number of bytes that can be billed for a given BigQuery query | Integer | `1000000000` | From cb69cf640a0fa91b52488669fd28c3ecae860b1d Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Fri, 25 Oct 2024 15:35:30 -0400 Subject: [PATCH 173/327] Disclaimer on state modified behavior change (#6357) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## What are you changing in this pull request and why? Closes https://github.com/dbt-labs/docs.getdbt.com/issues/6247 ## Checklist - [ ] I have reviewed the [Content style guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md) so my content adheres to these guidelines. - [ ] The topic I'm writing about is for specific dbt version(s) and I have versioned it according to the [version a whole page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version) and/or [version a block of content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content) guidelines. - [ ] I have added checklist item(s) to this list for anything anything that needs to happen before this PR is merged, such as "needs technical review" or "change base branch." - [ ] The content in this PR requires a dbt release note, so I added one to the [release notes page](https://docs.getdbt.com/docs/dbt-versions/dbt-cloud-release-notes). --- 🚀 Deployment available! Here are the direct links to the updated files: - https://docs-getdbt-com-git-state-comparison-dbt-labs.vercel.app/reference/global-configs/behavior-changes - https://docs-getdbt-com-git-state-comparison-dbt-labs.vercel.app/reference/node-selection/state-comparison-caveats --------- Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com> Co-authored-by: runleonarun --- .../docs/reference/global-configs/behavior-changes.md | 9 ++++++++- .../reference/node-selection/state-comparison-caveats.md | 4 ++++ website/snippets/_state-modified-compare.md | 3 +++ 3 files changed, 15 insertions(+), 1 deletion(-) create mode 100644 website/snippets/_state-modified-compare.md diff --git a/website/docs/reference/global-configs/behavior-changes.md b/website/docs/reference/global-configs/behavior-changes.md index ae109b8f7c7..fadf424c389 100644 --- a/website/docs/reference/global-configs/behavior-changes.md +++ b/website/docs/reference/global-configs/behavior-changes.md @@ -4,6 +4,8 @@ id: "behavior-changes" sidebar: "Behavior changes" --- +import StateModified from '/snippets/_state-modified-compare.md'; + Most flags exist to configure runtime behaviors with multiple valid choices. The right choice may vary based on the environment, user preference, or the specific invocation. Another category of flags provides existing projects with a migration window for runtime behaviors that are changing in newer releases of dbt. These flags help us achieve a balance between these goals, which can otherwise be in tension, by: @@ -83,13 +85,18 @@ Set the `skip_nodes_if_on_run_start_fails` flag to `True` to skip all selected r ### Source definitions for state:modified +:::info + + + +::: + The flag is `False` by default. Set `state_modified_compare_more_unrendered_values` to `True` to reduce false positives during `state:modified` checks (especially when configs differ by target environment like `prod` vs. `dev`). Setting the flag to `True` changes the `state:modified` comparison from using rendered values to unrendered values instead. It accomplishes this by persisting `unrendered_config` during model parsing and `unrendered_database` and `unrendered_schema` configs during source parsing. - ### Package override for built-in materialization Setting the `require_explicit_package_overrides_for_builtin_materializations` flag to `True` prevents this automatic override. diff --git a/website/docs/reference/node-selection/state-comparison-caveats.md b/website/docs/reference/node-selection/state-comparison-caveats.md index 25301656539..adaf35bd710 100644 --- a/website/docs/reference/node-selection/state-comparison-caveats.md +++ b/website/docs/reference/node-selection/state-comparison-caveats.md @@ -2,6 +2,8 @@ title: "Caveats to state comparison" --- +import StateModified from '/snippets/_state-modified-compare.md'; + The [`state:` selection method](/reference/node-selection/methods#the-state-method) is a powerful feature, with a lot of underlying complexity. Below are a handful of considerations when setting up automated jobs that leverage state comparison. ### Seeds @@ -48,6 +50,8 @@ dbt test -s "state:modified" --exclude "test_name:relationships" To reduce false positives during `state:modified` selection due to env-aware logic, you can set the `state_modified_compare_more_unrendered_values` [behavior flag](/reference/global-configs/behavior-changes#behavior-change-flags) to `True`. + + diff --git a/website/snippets/_state-modified-compare.md b/website/snippets/_state-modified-compare.md new file mode 100644 index 00000000000..c7bba1c8bdf --- /dev/null +++ b/website/snippets/_state-modified-compare.md @@ -0,0 +1,3 @@ +You need to build the state directory using dbt v1.9 or higher, or [Versionless](/docs/dbt-versions/versionless-cloud) dbt Cloud, and you need to set `state_modified_compare_more_unrendered_values` to `true` within your dbt_project.yml. + +If the state directory was built with an older dbt version or if the `state_modified_compare_more_unrendered_values` behavior change flag was either not set or set to `false`, you need to rebuild the state directory to avoid false positives during state comparison with `state:modified`. From 469ab4c45ee633877ca918be619ef8c3adaf6033 Mon Sep 17 00:00:00 2001 From: Ben Cassell <98852248+benc-db@users.noreply.github.com> Date: Fri, 25 Oct 2024 13:55:02 -0700 Subject: [PATCH 174/327] Adding 1.9 dbt-databricks documentation for new python model config (#6350) ## What are you changing in this pull request and why? Adds the first batch of new documentation for dbt-databricks 1.9, focusing on newly support python submission configuration. ## Checklist - [x] I have reviewed the [Content style guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md) so my content adheres to these guidelines. - [x] The topic I'm writing about is for specific dbt version(s) and I have versioned it according to the [version a whole page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version) and/or [version a block of content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content) guidelines. - [x] I have added checklist item(s) to this list for anything anything that needs to happen before this PR is merged, such as "needs technical review" or "change base branch." --------- Co-authored-by: Amy Chen <46451573+amychen1776@users.noreply.github.com> Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com> --- .../resource-configs/databricks-configs.md | 109 +++++++++++++++++- 1 file changed, 108 insertions(+), 1 deletion(-) diff --git a/website/docs/reference/resource-configs/databricks-configs.md b/website/docs/reference/resource-configs/databricks-configs.md index 9e1b3282801..88014d0ac4d 100644 --- a/website/docs/reference/resource-configs/databricks-configs.md +++ b/website/docs/reference/resource-configs/databricks-configs.md @@ -65,6 +65,107 @@ We do not yet have a PySpark API to set tblproperties at table creation, so this + + +### Python submission methods + +In dbt v1.9 and higher, or in [Versionless](/docs/dbt-versions/versionless-cloud) dbt Cloud, you can use these four options for `submission_method`: + +* `all_purpose_cluster`: Executes the python model either directly using the [command api](https://docs.databricks.com/api/workspace/commandexecution) or by uploading a notebook and creating a one-off job run +* `job_cluster`: Creates a new job cluster to execute an uploaded notebook as a one-off job run +* `serverless_cluster`: Uses a [serverless cluster](https://docs.databricks.com/en/jobs/run-serverless-jobs.html) to execute an uploaded notebook as a one-off job run +* `workflow_job`: Creates/updates a reusable workflow and uploaded notebook, for execution on all-purpose, job, or serverless clusters. + :::caution + This approach gives you maximum flexibility, but will create persistent artifacts in Databricks (the workflow) that users could run outside of dbt. + ::: + +We are currently in a transitionary period where there is a disconnect between old submission methods (which were grouped by compute), and the logically distinct submission methods (command, job run, workflow). + +As such, the supported config matrix is somewhat complicated: + +| Config | Use | Default | `all_purpose_cluster`* | `job_cluster` | `serverless_cluster` | `workflow_job` | +| --------------------- | -------------------------------------------------------------------- | ------------------ | ---------------------- | ------------- | -------------------- | -------------- | +| `create_notebook` | if false, use Command API, otherwise upload notebook and use job run | `false` | ✅ | ❌ | ❌ | ❌ | +| `timeout` | maximum time to wait for command/job to run | `0` (No timeout) | ✅ | ✅ | ✅ | ✅ | +| `job_cluster_config` | configures a [new cluster](https://docs.databricks.com/api/workspace/jobs/submit#tasks-new_cluster) for running the model | `{}` | ❌ | ✅ | ❌ | ✅ | +| `access_control_list` | directly configures [access control](https://docs.databricks.com/api/workspace/jobs/submit#access_control_list) for the job | `{}` | ✅ | ✅ | ✅ | ✅ | +| `packages` | list of packages to install on the executing cluster | `[]` | ✅ | ✅ | ✅ | ✅ | +| `index_url` | url to install `packages` from | `None` (uses pypi) | ✅ | ✅ | ✅ | ✅ | +| `additional_libs` | directly configures [libraries](https://docs.databricks.com/api/workspace/jobs/submit#tasks-libraries) | `[]` | ✅ | ✅ | ✅ | ✅ | +| `python_job_config` | additional configuration for jobs/workflows (see table below) | `{}` | ✅ | ✅ | ✅ | ✅ | +| `cluster_id` | id of existing all purpose cluster to execute against | `None` | ✅ | ❌ | ❌ | ✅ | +| `http_path` | path to existing all purpose cluster to execute against | `None` | ✅ | ❌ | ❌ | ❌ | + +\* Only `timeout` and `cluster_id`/`http_path` are supported when `create_notebook` is false + +With the introduction of the `workflow_job` submission method, we chose to segregate further configuration of the python model submission under a top level configuration named `python_job_config`. This keeps configuration options for jobs and workflows namespaced in such a way that they do not interfere with other model config, allowing us to be much more flexible with what is supported for job execution. + +The support matrix for this feature is divided into `workflow_job` and all others (assuming `all_purpose_cluster` with `create_notebook`==true). +Each config option listed must be nested under `python_job_config`: + +| Config | Use | Default | `workflow_job` | All others | +| -------------------------- | ----------------------------------------------------------------------------------------------------------------------- | ------- | -------------- | ---------- | +| `name` | The name to give (or used to look up) the created workflow | `None` | ✅ | ❌ | +| `grants` | A simplified way to specify access control for the workflow | `{}` | ✅ | ✅ | +| `existing_job_id` | Id to use to look up the created workflow (in place of `name`) | `None` | ✅ | ❌ | +| `post_hook_tasks` | [Tasks](https://docs.databricks.com/api/workspace/jobs/create#tasks) to include after the model notebook execution | `[]` | ✅ | ❌ | +| `additional_task_settings` | Additional [task config](https://docs.databricks.com/api/workspace/jobs/create#tasks) to include in the model task | `{}` | ✅ | ❌ | +| [Other job run settings](https://docs.databricks.com/api/workspace/jobs/submit) | Config will be copied into the request, outside of the model task | `None` | ❌ | ✅ | +| [Other workflow settings](https://docs.databricks.com/api/workspace/jobs/create) | Config will be copied into the request, outside of the model task | `None` | ✅ | ❌ | + +This example uses the new configuration options in the previous table: + + + +```yaml +models: + - name: my_model + config: + submission_method: workflow_job + + # Define a job cluster to create for running this workflow + # Alternately, could specify cluster_id to use an existing cluster, or provide neither to use a serverless cluster + job_cluster_config: + spark_version: "15.3.x-scala2.12" + node_type_id: "rd-fleet.2xlarge" + runtime_engine: "{{ var('job_cluster_defaults.runtime_engine') }}" + data_security_mode: "{{ var('job_cluster_defaults.data_security_mode') }}" + autoscale: { "min_workers": 1, "max_workers": 4 } + + python_job_config: + # These settings are passed in, as is, to the request + email_notifications: { on_failure: ["me@example.com"] } + max_retries: 2 + + name: my_workflow_name + + # Override settings for your model's dbt task. For instance, you can + # change the task key + additional_task_settings: { "task_key": "my_dbt_task" } + + # Define tasks to run before/after the model + # This example assumes you have already uploaded a notebook to /my_notebook_path to perform optimize and vacuum + post_hook_tasks: + [ + { + "depends_on": [{ "task_key": "my_dbt_task" }], + "task_key": "OPTIMIZE_AND_VACUUM", + "notebook_task": + { "notebook_path": "/my_notebook_path", "source": "WORKSPACE" }, + }, + ] + + # Simplified structure, rather than having to specify permission separately for each user + grants: + view: [{ "group_name": "marketing-team" }] + run: [{ "user_name": "other_user@example.com" }] + manage: [] +``` + + + + + ## Incremental models dbt-databricks plugin leans heavily on the [`incremental_strategy` config](/docs/build/incremental-strategy). This config tells the incremental materialization how to build models in runs beyond their first. It can be set to one of four values: @@ -556,9 +657,15 @@ Databricks adapter ... using compute resource . Materializing a python model requires execution of SQL as well as python. Specifically, if your python model is incremental, the current execution pattern involves executing python to create a staging table that is then merged into your target table using SQL. + The python code needs to run on an all purpose cluster, while the SQL code can run on an all purpose cluster or a SQL Warehouse. + + +The python code needs to run on an all purpose cluster (or serverless cluster, see [Python Submission Methods](#python-submission-methods)), while the SQL code can run on an all purpose cluster or a SQL Warehouse. + When you specify your `databricks_compute` for a python model, you are currently only specifying which compute to use when running the model-specific SQL. -If you wish to use a different compute for executing the python itself, you must specify an alternate `http_path` in the config for the model. Please note that declaring a separate SQL compute and a python compute for your python dbt models is optional. If you wish to do this: +If you wish to use a different compute for executing the python itself, you must specify an alternate compute in the config for the model. +For example: From 94ae62a523994d453b3a3212084b102d437dae36 Mon Sep 17 00:00:00 2001 From: jzhu13 Date: Fri, 25 Oct 2024 14:16:35 -0700 Subject: [PATCH 175/327] Adjust package documentation (#6366) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## What are you changing in this pull request and why? When the Metadata team was looking into a customer issue we noticed that their project which used a package was receiving sources from that package. After double checking the documentation it seems that packages only mention models and macros being part of package behavior, which is misleading. ## Checklist - [X] I have reviewed the [Content style guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md) so my content adheres to these guidelines. - [ ] The topic I'm writing about is for specific dbt version(s) and I have versioned it according to the [version a whole page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version) and/or [version a block of content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content) guidelines. - [ ] I have added checklist item(s) to this list for anything anything that needs to happen before this PR is merged, such as "needs technical review" or "change base branch." - [ ] The content in this PR requires a dbt release note, so I added one to the [release notes page](https://docs.getdbt.com/docs/dbt-versions/dbt-cloud-release-notes). --- 🚀 Deployment available! Here are the direct links to the updated files: - https://docs-getdbt-com-git-packagedocs-dbt-labs.vercel.app/docs/build/packages --------- Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com> --- website/docs/docs/build/packages.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/website/docs/docs/build/packages.md b/website/docs/docs/build/packages.md index 0b69d10cee6..b4880d88794 100644 --- a/website/docs/docs/build/packages.md +++ b/website/docs/docs/build/packages.md @@ -20,9 +20,10 @@ In dbt, libraries like these are called _packages_. dbt's packages are so powerf * Models to understand [Redshift](https://hub.getdbt.com/dbt-labs/redshift/latest/) privileges. * Macros to work with data loaded by [Stitch](https://hub.getdbt.com/dbt-labs/stitch_utils/latest/). -dbt _packages_ are in fact standalone dbt projects, with models and macros that tackle a specific problem area. As a dbt user, by adding a package to your project, the package's models and macros will become part of your own project. This means: +dbt _packages_ are in fact standalone dbt projects, with models, macros, and other resources that tackle a specific problem area. As a dbt user, by adding a package to your project, all of the package's resources will become part of your own project. This means: * Models in the package will be materialized when you `dbt run`. * You can use `ref` in your own models to refer to models from the package. +* You can use `source` to refer to sources in the package. * You can use macros in the package in your own project. * It's important to note that defining and installing dbt packages is different from [defining and installing Python packages](/docs/build/python-models#using-pypi-packages) From b3ba2000533850fe0627ea0768f620e544da4982 Mon Sep 17 00:00:00 2001 From: Jeremy Cohen Date: Fri, 25 Oct 2024 19:53:48 -0400 Subject: [PATCH 176/327] Update v1.7 EOL for dbt Cloud Enterprise customers (#6367) ## What are you changing in this pull request and why? We are extending the "Critical Support" period for dbt Core v1.7 in dbt Cloud, for Enterprise customers of dbt Cloud, while we are in the process of implementing a mechanism for "Extended" upgrades. (We are finalizing details, more information & documentation coming soon!) As we have communicated via email, we are planning to migrate self-service dbt Cloud accounts (Developer & Teams) to "Versionless" over the next 6 weeks. Next week, I will look into updating this within the dbt Cloud version dropdown UI. --------- Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com> Co-authored-by: Joel Labes Co-authored-by: runleonarun --- website/snippets/core-versions-table.md | 24 ++++++++++++++---------- 1 file changed, 14 insertions(+), 10 deletions(-) diff --git a/website/snippets/core-versions-table.md b/website/snippets/core-versions-table.md index ebeb7cc031a..dc99c38267f 100644 --- a/website/snippets/core-versions-table.md +++ b/website/snippets/core-versions-table.md @@ -2,15 +2,19 @@ | dbt Core | Initial release | Support level and end date | |:-------------------------------------------------------------:|:---------------:|:-------------------------------------:| -| [**v1.8**](/docs/dbt-versions/core-upgrade/upgrading-to-v1.8) | May 9 2024 | Active — May 8, 2025 | -| [**v1.7**](/docs/dbt-versions/core-upgrade/upgrading-to-v1.7) | Nov 2, 2023 | Critical — Nov 1, 2024 | -| [**v1.6**](/docs/dbt-versions/core-upgrade/upgrading-to-v1.6) | Jul 31, 2023 | End of Life* ⚠️ | -| [**v1.5**](/docs/dbt-versions/core-upgrade/upgrading-to-v1.5) | Apr 27, 2023 | End of Life* ⚠️ | -| [**v1.4**](/docs/dbt-versions/core-upgrade/Older%20versions/upgrading-to-v1.4) | Jan 25, 2023 | End of Life* ⚠️ | -| [**v1.3**](/docs/dbt-versions/core-upgrade/Older%20versions/upgrading-to-v1.3) | Oct 12, 2022 | End of Life* ⚠️ | -| [**v1.2**](/docs/dbt-versions/core-upgrade/Older%20versions/upgrading-to-v1.2) | Jul 26, 2022 | End of Life* ⚠️ | -| [**v1.1**](/docs/dbt-versions/core-upgrade/Older%20versions/upgrading-to-v1.1) | Apr 28, 2022 | End of Life* ⚠️ | -| [**v1.0**](/docs/dbt-versions/core-upgrade/Older%20versions/upgrading-to-v1.0) | Dec 3, 2021 | End of Life* ⚠️ | +| [**v1.8**](/docs/dbt-versions/core-upgrade/upgrading-to-v1.8) | May 9 2024 | Active Support — May 8, 2025 | +| [**v1.7**](/docs/dbt-versions/core-upgrade/upgrading-to-v1.7) | Nov 2, 2023 |
    **dbt Core and dbt Cloud Developer & Team customers:** Critical Support until Nov 1, 2024
    **dbt Cloud Enterprise customers:** Critical Support until further notice 1
    | +| [**v1.6**](/docs/dbt-versions/core-upgrade/upgrading-to-v1.6) | Jul 31, 2023 | End of Life ⚠️ | +| [**v1.5**](/docs/dbt-versions/core-upgrade/upgrading-to-v1.5) | Apr 27, 2023 | End of Life ⚠️ | +| [**v1.4**](/docs/dbt-versions/core-upgrade/Older%20versions/upgrading-to-v1.4) | Jan 25, 2023 | End of Life ⚠️ | +| [**v1.3**](/docs/dbt-versions/core-upgrade/Older%20versions/upgrading-to-v1.3) | Oct 12, 2022 | End of Life ⚠️ | +| [**v1.2**](/docs/dbt-versions/core-upgrade/Older%20versions/upgrading-to-v1.2) | Jul 26, 2022 | End of Life ⚠️ | +| [**v1.1**](/docs/dbt-versions/core-upgrade/Older%20versions/upgrading-to-v1.1) | Apr 28, 2022 | End of Life ⚠️ | +| [**v1.0**](/docs/dbt-versions/core-upgrade/Older%20versions/upgrading-to-v1.0) | Dec 3, 2021 | End of Life ⚠️ | | **v0.X** ⛔️ | (Various dates) | Deprecated ⛔️ | Deprecated ⛔️ | -_*All versions of dbt Core since v1.0 are available in dbt Cloud until further notice. Versions that are EOL do not receive any fixes. For the best support, we recommend upgrading to a version released within the past 12 months._ +All functionality in dbt Core since the v1.7 release is available in dbt Cloud, early and continuously, by selecting ["Versionless"](https://docs.getdbt.com/docs/dbt-versions/versionless-cloud). + +1 Starting in November 2024, "Versionless" will be required for the Developer and Teams plans on dbt Cloud. After that point, accounts on older versions will be migrated to "Versionless." + +For customers of dbt Cloud Enterprise, dbt v1.7 will continue to be available as an option while dbt Labs rolls out a mechanism for "extended" upgrades. In the meantime, dbt Labs strongly recommends migrating any environments that are still running on older unsupported versions to "Versionless" dbt or dbt v1.7. From d6201f0168c93d0477f59025ea78502673c7f281 Mon Sep 17 00:00:00 2001 From: Joel Labes Date: Sun, 27 Oct 2024 22:56:25 -0500 Subject: [PATCH 177/327] Update instructions on documenting a singular test (#6363) ## What are you changing in this pull request and why? Prompted from [this thread](https://dbt-labs.slack.com/archives/C012TTNN0JK/p1729143266268959), the instructions on documenting a test talk about _creating_ a new test in yaml which isn't right --------- Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com> --- website/docs/docs/build/data-tests.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/data-tests.md b/website/docs/docs/build/data-tests.md index b4f25a3d111..afe4719768c 100644 --- a/website/docs/docs/build/data-tests.md +++ b/website/docs/docs/build/data-tests.md @@ -68,7 +68,7 @@ having total_amount < 0 The name of this test is the name of the file: `assert_total_payment_amount_is_positive`. -To add a data test to your project, add a `.yml` file to your `tests` directory, for example, `tests/schema.yml` with the following content: +To add a description to a singular test in your project, add a `.yml` file to your `tests` directory, for example, `tests/schema.yml` with the following content: From ce7b75a4b9fedc68088af9d322eb9b648e5c1e84 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Mon, 28 Oct 2024 10:21:02 +0000 Subject: [PATCH 178/327] Update audit-log.md fix anchor link. previous link wasn't going to correct section --- website/docs/docs/cloud/manage-access/audit-log.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/manage-access/audit-log.md b/website/docs/docs/cloud/manage-access/audit-log.md index 9c80adaf2f8..4d07afe2cde 100644 --- a/website/docs/docs/cloud/manage-access/audit-log.md +++ b/website/docs/docs/cloud/manage-access/audit-log.md @@ -32,7 +32,7 @@ On the audit log page, you will see a list of various events and their associate ### Event details -Click the event card to see the details about the activity that triggered the event. This view provides important details, including when it happened and what type of event was triggered. For example, if someone changes the settings for a job, you can use the event details to see which job was changed (type of event: `job_definition.Changed`), by whom (person who triggered the event: `actor`), and when (time it was triggered: `created_at_utc`). For types of events and their descriptions, see [Events in audit log](#events-in-audit-log). +Click the event card to see the details about the activity that triggered the event. This view provides important details, including when it happened and what type of event was triggered. For example, if someone changes the settings for a job, you can use the event details to see which job was changed (type of event: `job_definition.Changed`), by whom (person who triggered the event: `actor`), and when (time it was triggered: `created_at_utc`). For types of events and their descriptions, see [Events in audit log](#audit-log-events). The event details provide the key factors of an event: From 6d2b0237472504b7c347583822be9e1bab8bb0c1 Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Mon, 28 Oct 2024 12:05:26 +0000 Subject: [PATCH 179/327] add snippet --- website/docs/docs/cloud/secure/about-privatelink.md | 3 +++ website/docs/docs/cloud/secure/databricks-privatelink.md | 3 +++ website/docs/docs/cloud/secure/postgres-privatelink.md | 5 ++++- website/docs/docs/cloud/secure/redshift-privatelink.md | 5 ++++- website/docs/docs/cloud/secure/snowflake-privatelink.md | 3 +++ website/snippets/_privatelink-across-providers.md | 1 + 6 files changed, 18 insertions(+), 2 deletions(-) create mode 100644 website/snippets/_privatelink-across-providers.md diff --git a/website/docs/docs/cloud/secure/about-privatelink.md b/website/docs/docs/cloud/secure/about-privatelink.md index 731cef3f019..0dcdd706771 100644 --- a/website/docs/docs/cloud/secure/about-privatelink.md +++ b/website/docs/docs/cloud/secure/about-privatelink.md @@ -7,11 +7,14 @@ sidebar_label: "About PrivateLink" import SetUpPages from '/snippets/_available-tiers-privatelink.md'; import PrivateLinkHostnameWarning from '/snippets/_privatelink-hostname-restriction.md'; +import CloudProviders from '/snippets/_privatelink-across-providers.md'; PrivateLink enables a private connection from any dbt Cloud Multi-Tenant environment to your data platform hosted on AWS using [AWS PrivateLink](https://aws.amazon.com/privatelink/) technology. PrivateLink allows dbt Cloud customers to meet security and compliance controls as it allows connectivity between dbt Cloud and your data platform without traversing the public internet. This feature is supported in most regions across NA, Europe, and Asia, but [contact us](https://www.getdbt.com/contact/) if you have questions about availability. + + ### Cross-region PrivateLink dbt Labs has a worldwide network of regional VPCs. These VPCs are specifically used to host PrivateLink VPC endpoints, which are connected to dbt Cloud instance environments. To ensure security, access to these endpoints is protected by security groups, network policies, and application connection safeguards. The connected services are also authenticated. Currently, we have multiple customers successfully connecting to their PrivateLink endpoints in different AWS regions within dbt Cloud. diff --git a/website/docs/docs/cloud/secure/databricks-privatelink.md b/website/docs/docs/cloud/secure/databricks-privatelink.md index a02683e1269..d754f2b76c4 100644 --- a/website/docs/docs/cloud/secure/databricks-privatelink.md +++ b/website/docs/docs/cloud/secure/databricks-privatelink.md @@ -8,11 +8,14 @@ pagination_next: null import SetUpPages from '/snippets/_available-tiers-privatelink.md'; import PrivateLinkSLA from '/snippets/_PrivateLink-SLA.md'; +import CloudProviders from '/snippets/_privatelink-across-providers.md'; The following steps will walk you through the setup of a Databricks AWS PrivateLink or Azure Private Link endpoint in the dbt Cloud multi-tenant environment. + + ## Configure AWS PrivateLink 1. Locate your [Databricks instance name](https://docs.databricks.com/en/workspace/workspace-details.html#workspace-instance-names-urls-and-ids) diff --git a/website/docs/docs/cloud/secure/postgres-privatelink.md b/website/docs/docs/cloud/secure/postgres-privatelink.md index 76b7774fcec..4d670354686 100644 --- a/website/docs/docs/cloud/secure/postgres-privatelink.md +++ b/website/docs/docs/cloud/secure/postgres-privatelink.md @@ -7,11 +7,14 @@ sidebar_label: "PrivateLink for Postgres" import SetUpPages from '/snippets/_available-tiers-privatelink.md'; import PrivateLinkTroubleshooting from '/snippets/_privatelink-troubleshooting.md'; import PrivateLinkCrossZone from '/snippets/_privatelink-cross-zone-load-balancing.md'; +import CloudProviders from '/snippets/_privatelink-across-providers.md'; A Postgres database, hosted either in AWS or in a properly connected on-prem data center, can be accessed through a private network connection using AWS Interface-type PrivateLink. The type of Target Group connected to the Network Load Balancer (NLB) may vary based on the location and type of Postgres instance being connected, as explained in the following steps. + + ## Configuring Postgres interface-type PrivateLink ### 1. Provision AWS resources @@ -96,4 +99,4 @@ Once dbt Cloud support completes the configuration, you can start creating new c 4. Configure the remaining data platform details. 5. Test your connection and save it. - \ No newline at end of file + diff --git a/website/docs/docs/cloud/secure/redshift-privatelink.md b/website/docs/docs/cloud/secure/redshift-privatelink.md index 16d14badc05..75924cf76a9 100644 --- a/website/docs/docs/cloud/secure/redshift-privatelink.md +++ b/website/docs/docs/cloud/secure/redshift-privatelink.md @@ -8,6 +8,7 @@ sidebar_label: "PrivateLink for Redshift" import SetUpPages from '/snippets/_available-tiers-privatelink.md'; import PrivateLinkTroubleshooting from '/snippets/_privatelink-troubleshooting.md'; import PrivateLinkCrossZone from '/snippets/_privatelink-cross-zone-load-balancing.md'; +import CloudProviders from '/snippets/_privatelink-across-providers.md'; @@ -17,6 +18,8 @@ AWS provides two different ways to create a PrivateLink VPC endpoint for a Redsh dbt Cloud supports both types of endpoints, but there are a number of [considerations](https://docs.aws.amazon.com/redshift/latest/mgmt/managing-cluster-cross-vpc.html#managing-cluster-cross-vpc-considerations) to take into account when deciding which endpoint type to use. Redshift-managed provides a far simpler setup with no additional cost, which might make it the preferred option for many, but may not be an option in all environments. Based on these criteria, you will need to determine which is the right type for your system. Follow the instructions from the section below that corresponds to your chosen endpoint type. + + :::note Redshift Serverless While Redshift Serverless does support Redshift-managed type VPC endpoints, this functionality is not currently available across AWS accounts. Due to this limitation, an Interface-type VPC endpoint service must be used for Redshift Serverless cluster PrivateLink connectivity from dbt Cloud. ::: @@ -125,4 +128,4 @@ Once dbt Cloud support completes the configuration, you can start creating new c 4. Configure the remaining data platform details. 5. Test your connection and save it. - \ No newline at end of file + diff --git a/website/docs/docs/cloud/secure/snowflake-privatelink.md b/website/docs/docs/cloud/secure/snowflake-privatelink.md index c6775be2444..b943791292f 100644 --- a/website/docs/docs/cloud/secure/snowflake-privatelink.md +++ b/website/docs/docs/cloud/secure/snowflake-privatelink.md @@ -6,11 +6,14 @@ sidebar_label: "PrivateLink for Snowflake" --- import SetUpPages from '/snippets/_available-tiers-privatelink.md'; +import CloudProviders from '/snippets/_privatelink-across-providers.md'; The following steps walk you through the setup of a Snowflake AWS PrivateLink or Azure Private Link endpoint in a dbt Cloud multi-tenant environment. + + :::note Snowflake SSO with PrivateLink Users connecting to Snowflake using SSO over a PrivateLink connection from dbt Cloud will also require access to a PrivateLink endpoint from their local workstation. diff --git a/website/snippets/_privatelink-across-providers.md b/website/snippets/_privatelink-across-providers.md new file mode 100644 index 00000000000..5b3b626941e --- /dev/null +++ b/website/snippets/_privatelink-across-providers.md @@ -0,0 +1 @@ +PrivateLink endpoints can't connect across cloud providers. For a PrivateLink connection to work, both dbt Cloud and the server (like {props.type}) must be hosted on the same cloud provider. For example, AWS PrivateLink can’t connect to resources hosted on Azure, and Azure PrivateLink can’t connect to resources hosted on AWS. From b2fe09022faabe61b44ea03d8aaeff19b1c8aec1 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Mon, 28 Oct 2024 12:18:02 +0000 Subject: [PATCH 180/327] Update website/docs/docs/dbt-cloud-environments.md Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com> --- website/docs/docs/dbt-cloud-environments.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/website/docs/docs/dbt-cloud-environments.md b/website/docs/docs/dbt-cloud-environments.md index 3e17a129051..5f081306f5b 100644 --- a/website/docs/docs/dbt-cloud-environments.md +++ b/website/docs/docs/dbt-cloud-environments.md @@ -15,6 +15,8 @@ Critically, in order to execute dbt, environments define three variables: Each dbt Cloud project can have only one [development environment](#create-a-development-environment), but there is no limit to the number of [deployment environments](/docs/deploy/deploy-environments), providing you the flexibility and customization to tailor the execution of scheduled jobs. +Use environments to customize settings for different stages of your project and streamline the execution process by using software engineering principles. + Use environments to customize settings for different stages of your project and streamline the execution process by using software engineering principles. This page will detail the different types of environments and how to intuitively configure your development environment in dbt Cloud. From 611f9ad891fa962fbeda299de621990fe040275c Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Mon, 28 Oct 2024 12:18:23 +0000 Subject: [PATCH 181/327] Update website/docs/docs/dbt-cloud-environments.md Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com> --- website/docs/docs/dbt-cloud-environments.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-cloud-environments.md b/website/docs/docs/dbt-cloud-environments.md index 5f081306f5b..6efbd0e36f0 100644 --- a/website/docs/docs/dbt-cloud-environments.md +++ b/website/docs/docs/dbt-cloud-environments.md @@ -19,7 +19,7 @@ Use environments to customize settings for different stages of your project and -Use environments to customize settings for different stages of your project and streamline the execution process by using software engineering principles. This page will detail the different types of environments and how to intuitively configure your development environment in dbt Cloud. +The following sections detail the different types of environments and how to intuitively configure your development environment in dbt Cloud. import CloudEnvInfo from '/snippets/_cloud-environments-info.md'; From f000babab4d074011178611e3c13e01eaae0634d Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Mon, 28 Oct 2024 12:20:34 +0000 Subject: [PATCH 182/327] Update website/docs/docs/deploy/advanced-ci.md Co-authored-by: Joel Labes --- website/docs/docs/deploy/advanced-ci.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/deploy/advanced-ci.md b/website/docs/docs/deploy/advanced-ci.md index 681aed73240..53d5108eaf3 100644 --- a/website/docs/docs/deploy/advanced-ci.md +++ b/website/docs/docs/deploy/advanced-ci.md @@ -33,7 +33,7 @@ dbt reports the comparison differences in: ## About the cached data -To create the preview for [comparing changes](#compare-changes), dbt Cloud stores a cache of no more than 100 records for each modified model. By caching this data, you can view the examples of changed data without rerunning the comparison against the data warehouse every time (optimizing for lower compute costs). To display the changes, dbt Cloud uses a cached version of a sample of the data records. These data records are queried from the database using the connection configuration (such as user, role, service account, and so on) that's set in the CI job's environment. +After [comparing changes](#compare-changes), dbt Cloud stores a cache of no more than 100 records for each modified model for preview purposes. By caching this data, you can view the examples of changed data without rerunning the comparison against the data warehouse every time (optimizing for lower compute costs). To display the changes, dbt Cloud uses a cached version of a sample of the data records. These data records are queried from the database using the connection configuration (such as user, role, service account, and so on) that's set in the CI job's environment. You control what data to use. This may include synthetic data if pre-production or development data is heavily regulated or sensitive. From 6b55f9866eaa8ca6cb5aeaab507aaa58998eab5c Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 13:23:20 +0000 Subject: [PATCH 183/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 6f85786e97b..88d4c5ab6ce 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -68,7 +68,7 @@ To customize your optional configurations in dbt Cloud: -The following are the optional configs you can set in dbt Cloud: +The following are the optional configurations you can set in dbt Cloud: | Config | Information | Type | Example | |--------------------------------|------------------------------------------------------------------------------------------------------------------------------|---------|-----------------------------| From b48265fa1affa6d51dbadd78482138ff767a464c Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 13:23:31 +0000 Subject: [PATCH 184/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 88d4c5ab6ce..5eb243b2f1d 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -70,7 +70,7 @@ To customize your optional configurations in dbt Cloud: The following are the optional configurations you can set in dbt Cloud: -| Config | Information | Type | Example | +| Configuration | Information | Type | Example | |--------------------------------|------------------------------------------------------------------------------------------------------------------------------|---------|-----------------------------| | Priority | Sets the priority for BigQuery jobs (either immediate or queued for batch processing) | String | `batch` or `interactive` | | Retries | Specifies the number of retries for failed jobs due to temporary issues | Integer | `3` | From 309dfe45dc7c93fb95c9fce01b2090b2b4a9ae75 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 13:24:22 +0000 Subject: [PATCH 185/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 5eb243b2f1d..91c438d6e3e 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -103,7 +103,7 @@ The `location` of BigQuery datasets can be set using the `location` setting in a - + When a `maximum_bytes_billed` value is configured for a BigQuery profile, that allows you to limit how much data your query can process. It’s a safeguard to prevent your query from accidentally processing more data than you expect, which could lead to higher costs. Queries executed by dbt will fail if they exceed the configured maximum bytes threshhold. This configuration should be supplied as an integer number of bytes. From a01798c64a8807bf5c336e5f3fb862d5baafe20e Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 13:28:42 +0000 Subject: [PATCH 186/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 91c438d6e3e..d991e4eeab1 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -59,7 +59,7 @@ In BigQuery, optional configurations let you tailor settings for tasks such as q To customize your optional configurations in dbt Cloud: - Click your name at the bottom left-hand side bar menu in dbt Cloud -- Select **Profile** from the menu +- Select **Your profile** from the menu - From there, click **Project** and select your BigQuery project - Select your BigQuery project from the left-hand menu - Click **Settings** towards the top right and a **Project details** window will open From 15f40a4b53d1a73fa368d8f380b1491be5418e73 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 13:29:20 +0000 Subject: [PATCH 187/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index d991e4eeab1..dfad483b31c 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -60,7 +60,7 @@ To customize your optional configurations in dbt Cloud: - Click your name at the bottom left-hand side bar menu in dbt Cloud - Select **Your profile** from the menu -- From there, click **Project** and select your BigQuery project +- From there, click **Projects** and select your BigQuery project - Select your BigQuery project from the left-hand menu - Click **Settings** towards the top right and a **Project details** window will open - Scroll down to **Development Connection** and select BigQuery From 86c6547441c1a3bf616ed953acddb564ca0bfbe6 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 13:30:45 +0000 Subject: [PATCH 188/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index dfad483b31c..fa88a0a0b66 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -62,7 +62,6 @@ To customize your optional configurations in dbt Cloud: - Select **Your profile** from the menu - From there, click **Projects** and select your BigQuery project - Select your BigQuery project from the left-hand menu -- Click **Settings** towards the top right and a **Project details** window will open - Scroll down to **Development Connection** and select BigQuery - Click **Edit** and then scroll down to **Optional settings** From 4acd45ee9866f788d20707bf5e2fca93661cab35 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 13:31:12 +0000 Subject: [PATCH 189/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index fa88a0a0b66..5f430de4336 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -62,7 +62,7 @@ To customize your optional configurations in dbt Cloud: - Select **Your profile** from the menu - From there, click **Projects** and select your BigQuery project - Select your BigQuery project from the left-hand menu -- Scroll down to **Development Connection** and select BigQuery +Go to **Development Connection** and select BigQuery - Click **Edit** and then scroll down to **Optional settings** From d1b88c5ce44f55d5ef6a6de93e5fd41a40f1f1ed Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 13:31:30 +0000 Subject: [PATCH 190/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 5f430de4336..6f322becce5 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -71,7 +71,7 @@ The following are the optional configurations you can set in dbt Cloud: | Configuration | Information | Type | Example | |--------------------------------|------------------------------------------------------------------------------------------------------------------------------|---------|-----------------------------| -| Priority | Sets the priority for BigQuery jobs (either immediate or queued for batch processing) | String | `batch` or `interactive` | +| [Priority](#priority) | Sets the priority for BigQuery jobs (either immediate or queued for batch processing) | String | `batch` or `interactive` | | Retries | Specifies the number of retries for failed jobs due to temporary issues | Integer | `3` | | Location | Location for creating new datasets | String | `US`, `EU`, `us-west2` | | Maximum bytes billed | Limits the maximum number of bytes that can be billed for a query | Integer | `1000000000` | From f2c739a9722da3e805bdff43625d581cf0468a2c Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 13:33:30 +0000 Subject: [PATCH 191/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 6f322becce5..c63fdaa2339 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -72,7 +72,7 @@ The following are the optional configurations you can set in dbt Cloud: | Configuration | Information | Type | Example | |--------------------------------|------------------------------------------------------------------------------------------------------------------------------|---------|-----------------------------| | [Priority](#priority) | Sets the priority for BigQuery jobs (either immediate or queued for batch processing) | String | `batch` or `interactive` | -| Retries | Specifies the number of retries for failed jobs due to temporary issues | Integer | `3` | +| Retries (#retries) | Specifies the number of retries for failed jobs due to temporary issues | Integer | `3` | | Location | Location for creating new datasets | String | `US`, `EU`, `us-west2` | | Maximum bytes billed | Limits the maximum number of bytes that can be billed for a query | Integer | `1000000000` | | Impersonate service account | Allows users authenticated locally to access BigQuery resources under a specified service account | String | `service-account@project.iam.gserviceaccount.com` | From fb4461d910d74c56094582d2d538ba94b6d90b27 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 13:34:17 +0000 Subject: [PATCH 192/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index c63fdaa2339..11a50d4aac3 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -73,7 +73,7 @@ The following are the optional configurations you can set in dbt Cloud: |--------------------------------|------------------------------------------------------------------------------------------------------------------------------|---------|-----------------------------| | [Priority](#priority) | Sets the priority for BigQuery jobs (either immediate or queued for batch processing) | String | `batch` or `interactive` | | Retries (#retries) | Specifies the number of retries for failed jobs due to temporary issues | Integer | `3` | -| Location | Location for creating new datasets | String | `US`, `EU`, `us-west2` | +| Location(#location) | Location for creating new datasets | String | `US`, `EU`, `us-west2` | | Maximum bytes billed | Limits the maximum number of bytes that can be billed for a query | Integer | `1000000000` | | Impersonate service account | Allows users authenticated locally to access BigQuery resources under a specified service account | String | `service-account@project.iam.gserviceaccount.com` | | Execution project | Specifies the project ID to bill for query execution | String | `my-project-id` | From 9c947744117491ec86d98a743fee55361963092d Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 13:34:55 +0000 Subject: [PATCH 193/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 11a50d4aac3..4d3c2e6f36f 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -72,7 +72,7 @@ The following are the optional configurations you can set in dbt Cloud: | Configuration | Information | Type | Example | |--------------------------------|------------------------------------------------------------------------------------------------------------------------------|---------|-----------------------------| | [Priority](#priority) | Sets the priority for BigQuery jobs (either immediate or queued for batch processing) | String | `batch` or `interactive` | -| Retries (#retries) | Specifies the number of retries for failed jobs due to temporary issues | Integer | `3` | +| [Retries](#retries) | Specifies the number of retries for failed jobs due to temporary issues | Integer | `3` | | Location(#location) | Location for creating new datasets | String | `US`, `EU`, `us-west2` | | Maximum bytes billed | Limits the maximum number of bytes that can be billed for a query | Integer | `1000000000` | | Impersonate service account | Allows users authenticated locally to access BigQuery resources under a specified service account | String | `service-account@project.iam.gserviceaccount.com` | From fc185dd332a11e9aeb759348839893bc2999fdab Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 13:35:19 +0000 Subject: [PATCH 194/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 4d3c2e6f36f..1d921349cd2 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -73,7 +73,7 @@ The following are the optional configurations you can set in dbt Cloud: |--------------------------------|------------------------------------------------------------------------------------------------------------------------------|---------|-----------------------------| | [Priority](#priority) | Sets the priority for BigQuery jobs (either immediate or queued for batch processing) | String | `batch` or `interactive` | | [Retries](#retries) | Specifies the number of retries for failed jobs due to temporary issues | Integer | `3` | -| Location(#location) | Location for creating new datasets | String | `US`, `EU`, `us-west2` | +| [Location](#location) | Location for creating new datasets | String | `US`, `EU`, `us-west2` | | Maximum bytes billed | Limits the maximum number of bytes that can be billed for a query | Integer | `1000000000` | | Impersonate service account | Allows users authenticated locally to access BigQuery resources under a specified service account | String | `service-account@project.iam.gserviceaccount.com` | | Execution project | Specifies the project ID to bill for query execution | String | `my-project-id` | From 441adc08ad6a6d3da927cbbba019e38719db9fb0 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 13:36:05 +0000 Subject: [PATCH 195/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 1d921349cd2..8a85c688067 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -74,7 +74,7 @@ The following are the optional configurations you can set in dbt Cloud: | [Priority](#priority) | Sets the priority for BigQuery jobs (either immediate or queued for batch processing) | String | `batch` or `interactive` | | [Retries](#retries) | Specifies the number of retries for failed jobs due to temporary issues | Integer | `3` | | [Location](#location) | Location for creating new datasets | String | `US`, `EU`, `us-west2` | -| Maximum bytes billed | Limits the maximum number of bytes that can be billed for a query | Integer | `1000000000` | +| [Maximum bytes billed](#Maximum bytes billed) | Limits the maximum number of bytes that can be billed for a query | Integer | `1000000000` | | Impersonate service account | Allows users authenticated locally to access BigQuery resources under a specified service account | String | `service-account@project.iam.gserviceaccount.com` | | Execution project | Specifies the project ID to bill for query execution | String | `my-project-id` | | Job retry deadline seconds | Sets the total number of seconds BigQuery will attempt to retry a job if it fails | Integer | `600` | From f249318613f1bf31ac54c7a8b1657060d6230c51 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 13:36:50 +0000 Subject: [PATCH 196/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 8a85c688067..942c46448e9 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -76,7 +76,7 @@ The following are the optional configurations you can set in dbt Cloud: | [Location](#location) | Location for creating new datasets | String | `US`, `EU`, `us-west2` | | [Maximum bytes billed](#Maximum bytes billed) | Limits the maximum number of bytes that can be billed for a query | Integer | `1000000000` | | Impersonate service account | Allows users authenticated locally to access BigQuery resources under a specified service account | String | `service-account@project.iam.gserviceaccount.com` | -| Execution project | Specifies the project ID to bill for query execution | String | `my-project-id` | +| [Execution project](#Execution project) | Specifies the project ID to bill for query execution | String | `my-project-id` | | Job retry deadline seconds | Sets the total number of seconds BigQuery will attempt to retry a job if it fails | Integer | `600` | | Job creation timeout seconds | Specifies the maximum timeout for the job creation step | Integer | `120` | | Google Cloud Storage bucket | Location for storing objects in Google Cloud Storage | String | `my-bucket` | From 88c61e20fa6da09e259a16fae090801c7d4a7625 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 13:37:25 +0000 Subject: [PATCH 197/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 942c46448e9..d21faed4cd9 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -77,7 +77,7 @@ The following are the optional configurations you can set in dbt Cloud: | [Maximum bytes billed](#Maximum bytes billed) | Limits the maximum number of bytes that can be billed for a query | Integer | `1000000000` | | Impersonate service account | Allows users authenticated locally to access BigQuery resources under a specified service account | String | `service-account@project.iam.gserviceaccount.com` | | [Execution project](#Execution project) | Specifies the project ID to bill for query execution | String | `my-project-id` | -| Job retry deadline seconds | Sets the total number of seconds BigQuery will attempt to retry a job if it fails | Integer | `600` | +| [Job retry deadline seconds](#Job retry deadline seconds) | Sets the total number of seconds BigQuery will attempt to retry a job if it fails | Integer | `600` | | Job creation timeout seconds | Specifies the maximum timeout for the job creation step | Integer | `120` | | Google Cloud Storage bucket | Location for storing objects in Google Cloud Storage | String | `my-bucket` | | Dataproc region | Specifies the cloud region for running data processing jobs | String | `US`, `EU`, `asia-northeast1` | From 9afac1bc96a1209d39e80b186c8f6380c202035a Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 13:38:23 +0000 Subject: [PATCH 198/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index d21faed4cd9..24c09724068 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -78,7 +78,7 @@ The following are the optional configurations you can set in dbt Cloud: | Impersonate service account | Allows users authenticated locally to access BigQuery resources under a specified service account | String | `service-account@project.iam.gserviceaccount.com` | | [Execution project](#Execution project) | Specifies the project ID to bill for query execution | String | `my-project-id` | | [Job retry deadline seconds](#Job retry deadline seconds) | Sets the total number of seconds BigQuery will attempt to retry a job if it fails | Integer | `600` | -| Job creation timeout seconds | Specifies the maximum timeout for the job creation step | Integer | `120` | +| [Job creation timeout seconds](#Job creation timeout seconds ) | Specifies the maximum timeout for the job creation step | Integer | `120` | | Google Cloud Storage bucket | Location for storing objects in Google Cloud Storage | String | `my-bucket` | | Dataproc region | Specifies the cloud region for running data processing jobs | String | `US`, `EU`, `asia-northeast1` | | Dataproc cluster name | Assigns a unique identifier to a group of virtual machines in Dataproc | String | `my-cluster` | From 28a0c233fb54c9793db09e7e6bcdf7137e25fe1f Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 13:39:08 +0000 Subject: [PATCH 199/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 24c09724068..e9f4d3602da 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -79,7 +79,7 @@ The following are the optional configurations you can set in dbt Cloud: | [Execution project](#Execution project) | Specifies the project ID to bill for query execution | String | `my-project-id` | | [Job retry deadline seconds](#Job retry deadline seconds) | Sets the total number of seconds BigQuery will attempt to retry a job if it fails | Integer | `600` | | [Job creation timeout seconds](#Job creation timeout seconds ) | Specifies the maximum timeout for the job creation step | Integer | `120` | -| Google Cloud Storage bucket | Location for storing objects in Google Cloud Storage | String | `my-bucket` | +| [Google Cloud Storage bucket](#Google Cloud Storage bucket) | Location for storing objects in Google Cloud Storage | String | `my-bucket` | | Dataproc region | Specifies the cloud region for running data processing jobs | String | `US`, `EU`, `asia-northeast1` | | Dataproc cluster name | Assigns a unique identifier to a group of virtual machines in Dataproc | String | `my-cluster` | From bccbb34c4b9d2475bc357dd240f4fc137d1f4d0a Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 13:39:49 +0000 Subject: [PATCH 200/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index e9f4d3602da..52427446573 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -80,7 +80,7 @@ The following are the optional configurations you can set in dbt Cloud: | [Job retry deadline seconds](#Job retry deadline seconds) | Sets the total number of seconds BigQuery will attempt to retry a job if it fails | Integer | `600` | | [Job creation timeout seconds](#Job creation timeout seconds ) | Specifies the maximum timeout for the job creation step | Integer | `120` | | [Google Cloud Storage bucket](#Google Cloud Storage bucket) | Location for storing objects in Google Cloud Storage | String | `my-bucket` | -| Dataproc region | Specifies the cloud region for running data processing jobs | String | `US`, `EU`, `asia-northeast1` | +| [Dataproc region](#Dataproc region) | Specifies the cloud region for running data processing jobs | String | `US`, `EU`, `asia-northeast1` | | Dataproc cluster name | Assigns a unique identifier to a group of virtual machines in Dataproc | String | `my-cluster` | From f9c42f3a4121076afed9132c9edcbeb4816556cf Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 13:40:30 +0000 Subject: [PATCH 201/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 52427446573..e6250a727d0 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -75,7 +75,7 @@ The following are the optional configurations you can set in dbt Cloud: | [Retries](#retries) | Specifies the number of retries for failed jobs due to temporary issues | Integer | `3` | | [Location](#location) | Location for creating new datasets | String | `US`, `EU`, `us-west2` | | [Maximum bytes billed](#Maximum bytes billed) | Limits the maximum number of bytes that can be billed for a query | Integer | `1000000000` | -| Impersonate service account | Allows users authenticated locally to access BigQuery resources under a specified service account | String | `service-account@project.iam.gserviceaccount.com` | +| [Impersonate service account](#Impersonate service account) | Allows users authenticated locally to access BigQuery resources under a specified service account | String | `service-account@project.iam.gserviceaccount.com` | | [Execution project](#Execution project) | Specifies the project ID to bill for query execution | String | `my-project-id` | | [Job retry deadline seconds](#Job retry deadline seconds) | Sets the total number of seconds BigQuery will attempt to retry a job if it fails | Integer | `600` | | [Job creation timeout seconds](#Job creation timeout seconds ) | Specifies the maximum timeout for the job creation step | Integer | `120` | From 6694c87c898be3bc176f10cc23f687083d1e7b14 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 13:41:07 +0000 Subject: [PATCH 202/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index e6250a727d0..41321cd8226 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -81,7 +81,7 @@ The following are the optional configurations you can set in dbt Cloud: | [Job creation timeout seconds](#Job creation timeout seconds ) | Specifies the maximum timeout for the job creation step | Integer | `120` | | [Google Cloud Storage bucket](#Google Cloud Storage bucket) | Location for storing objects in Google Cloud Storage | String | `my-bucket` | | [Dataproc region](#Dataproc region) | Specifies the cloud region for running data processing jobs | String | `US`, `EU`, `asia-northeast1` | -| Dataproc cluster name | Assigns a unique identifier to a group of virtual machines in Dataproc | String | `my-cluster` | +| [Dataproc cluster name](#Dataproc cluster name) | Assigns a unique identifier to a group of virtual machines in Dataproc | String | `my-cluster` | From d708d0258b8c455eeab7ebdf1e9a1611e7a70e23 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 13:41:46 +0000 Subject: [PATCH 203/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 41321cd8226..84dd052fe46 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -58,7 +58,7 @@ In BigQuery, optional configurations let you tailor settings for tasks such as q To customize your optional configurations in dbt Cloud: -- Click your name at the bottom left-hand side bar menu in dbt Cloud +1. Click your name at the bottom left-hand side bar menu in dbt Cloud - Select **Your profile** from the menu - From there, click **Projects** and select your BigQuery project - Select your BigQuery project from the left-hand menu From 6c37c7b0dcdc05117c66ed5cc99a0a217c5cc419 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 13:42:10 +0000 Subject: [PATCH 204/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 84dd052fe46..fe7e4b4ebe8 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -59,7 +59,7 @@ In BigQuery, optional configurations let you tailor settings for tasks such as q To customize your optional configurations in dbt Cloud: 1. Click your name at the bottom left-hand side bar menu in dbt Cloud -- Select **Your profile** from the menu +2. Select **Your profile** from the menu - From there, click **Projects** and select your BigQuery project - Select your BigQuery project from the left-hand menu Go to **Development Connection** and select BigQuery From 1030b288c6fd5b69deba9cd6a0c6c2a3acfee945 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 13:42:28 +0000 Subject: [PATCH 205/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index fe7e4b4ebe8..83459b5a0d0 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -60,7 +60,7 @@ To customize your optional configurations in dbt Cloud: 1. Click your name at the bottom left-hand side bar menu in dbt Cloud 2. Select **Your profile** from the menu -- From there, click **Projects** and select your BigQuery project +3. From there, click **Projects** and select your BigQuery project - Select your BigQuery project from the left-hand menu Go to **Development Connection** and select BigQuery - Click **Edit** and then scroll down to **Optional settings** From 9a1a7fcc00c7700c82af70805a7ee6e65d7262c3 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 13:42:44 +0000 Subject: [PATCH 206/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 83459b5a0d0..ed46bc5e385 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -61,7 +61,7 @@ To customize your optional configurations in dbt Cloud: 1. Click your name at the bottom left-hand side bar menu in dbt Cloud 2. Select **Your profile** from the menu 3. From there, click **Projects** and select your BigQuery project -- Select your BigQuery project from the left-hand menu +4. Select your BigQuery project from the left-hand menu Go to **Development Connection** and select BigQuery - Click **Edit** and then scroll down to **Optional settings** From 9e4520f89ddec17b15a469fc92ff86cf494f9e50 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 13:43:08 +0000 Subject: [PATCH 207/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index ed46bc5e385..c97dfb1bf00 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -62,7 +62,7 @@ To customize your optional configurations in dbt Cloud: 2. Select **Your profile** from the menu 3. From there, click **Projects** and select your BigQuery project 4. Select your BigQuery project from the left-hand menu -Go to **Development Connection** and select BigQuery +5. Go to **Development Connection** and select BigQuery - Click **Edit** and then scroll down to **Optional settings** From 57d8d4f524a44c227227804c1bcc72b2f32ab1d9 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 13:43:35 +0000 Subject: [PATCH 208/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index c97dfb1bf00..5a599bab1d1 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -63,7 +63,7 @@ To customize your optional configurations in dbt Cloud: 3. From there, click **Projects** and select your BigQuery project 4. Select your BigQuery project from the left-hand menu 5. Go to **Development Connection** and select BigQuery -- Click **Edit** and then scroll down to **Optional settings** +6. Click **Edit** and then scroll down to **Optional settings** From 5177e8a92dc5ecef7cd5cd9e6d56277a7e6f0172 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 13:44:09 +0000 Subject: [PATCH 209/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 5a599bab1d1..ca23e32770a 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -108,7 +108,6 @@ When a `maximum_bytes_billed` value is configured for a BigQuery profile, that a If your `maximum_bytes_billed` is 1000000000, you would enter that value in the `maximum_bytes_billed` field in dbt cloud. -| Config | Description | Type | Example | | ---------------- | ------------------------------------------------------------------------| ------- | -------- | | Max bytes billed | The max number of bytes that can be billed for a given BigQuery query | Integer | `1000000000` | From 7aa07af48d6fcc4d81ba1183776d6e804cad8b99 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 13:44:33 +0000 Subject: [PATCH 210/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index ca23e32770a..fbd808de4d3 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -108,7 +108,6 @@ When a `maximum_bytes_billed` value is configured for a BigQuery profile, that a If your `maximum_bytes_billed` is 1000000000, you would enter that value in the `maximum_bytes_billed` field in dbt cloud. -| ---------------- | ------------------------------------------------------------------------| ------- | -------- | | Max bytes billed | The max number of bytes that can be billed for a given BigQuery query | Integer | `1000000000` | From f7d1cccc4bd97e29417aaf308424dd481c389f1b Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 13:44:56 +0000 Subject: [PATCH 211/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index fbd808de4d3..decbb2f791a 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -108,7 +108,6 @@ When a `maximum_bytes_billed` value is configured for a BigQuery profile, that a If your `maximum_bytes_billed` is 1000000000, you would enter that value in the `maximum_bytes_billed` field in dbt cloud. -| Max bytes billed | The max number of bytes that can be billed for a given BigQuery query | Integer | `1000000000` | From d42aade05bf9aefaf9c07ce91e01fca19d7e50e9 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 13:50:10 +0000 Subject: [PATCH 212/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index decbb2f791a..c333eb7f53d 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -141,7 +141,7 @@ Job retry deadline seconds is the maximum amount of time BigQuery will spend ret Job creation timeout seconds is the maximum time BigQuery will wait to start the job. If the job doesn’t start within that time, it times out. - +#### Run dbt python models on Google Cloud Platform Everything you store in Cloud Storage must be placed inside a [bucket](https://cloud.google.com/storage/docs/buckets). Buckets help you organize your data and manage access to it. From 8af3f1e95568b007cab6ff60f234614fd0e80357 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Mon, 28 Oct 2024 14:49:15 +0000 Subject: [PATCH 213/327] Update website/docs/docs/cloud/secure/about-privatelink.md --- website/docs/docs/cloud/secure/about-privatelink.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/secure/about-privatelink.md b/website/docs/docs/cloud/secure/about-privatelink.md index 0dcdd706771..f19790fd708 100644 --- a/website/docs/docs/cloud/secure/about-privatelink.md +++ b/website/docs/docs/cloud/secure/about-privatelink.md @@ -11,7 +11,7 @@ import CloudProviders from '/snippets/_privatelink-across-providers.md'; -PrivateLink enables a private connection from any dbt Cloud Multi-Tenant environment to your data platform hosted on AWS using [AWS PrivateLink](https://aws.amazon.com/privatelink/) technology. PrivateLink allows dbt Cloud customers to meet security and compliance controls as it allows connectivity between dbt Cloud and your data platform without traversing the public internet. This feature is supported in most regions across NA, Europe, and Asia, but [contact us](https://www.getdbt.com/contact/) if you have questions about availability. +PrivateLink enables a private connection from any dbt Cloud Multi-Tenant environment to your data platform hosted on a cloud provider, such as [AWS](https://aws.amazon.com/privatelink/) or [Azure](https://azure.microsoft.com/en-us/products/private-link), using that provider’s PrivateLink technology. PrivateLink allows dbt Cloud customers to meet security and compliance controls as it allows connectivity between dbt Cloud and your data platform without traversing the public internet. This feature is supported in most regions across NA, Europe, and Asia, but [contact us](https://www.getdbt.com/contact/) if you have questions about availability. From 099d834780ecfc37fe627426ddb54c7d1bb167b2 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Mon, 28 Oct 2024 14:50:44 +0000 Subject: [PATCH 214/327] Update website/snippets/_privatelink-across-providers.md --- website/snippets/_privatelink-across-providers.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/snippets/_privatelink-across-providers.md b/website/snippets/_privatelink-across-providers.md index 5b3b626941e..1a9db462b8e 100644 --- a/website/snippets/_privatelink-across-providers.md +++ b/website/snippets/_privatelink-across-providers.md @@ -1 +1 @@ -PrivateLink endpoints can't connect across cloud providers. For a PrivateLink connection to work, both dbt Cloud and the server (like {props.type}) must be hosted on the same cloud provider. For example, AWS PrivateLink can’t connect to resources hosted on Azure, and Azure PrivateLink can’t connect to resources hosted on AWS. +PrivateLink endpoints can't connect across cloud providers. For a PrivateLink connection to work, both dbt Cloud and the server (like {props.type}) must be hosted on the same cloud provider. For example, dbt Cloud hosted on AWS cannot connect via PrivateLink to services hosted on Azure, and dbt Cloud hosted on Azure can’t connect via Private Link to services hosted on AWS. From 54489474cc364f625b6fe4bbb438c22fa1e80ce6 Mon Sep 17 00:00:00 2001 From: Natalie Fiann Date: Mon, 28 Oct 2024 15:31:10 +0000 Subject: [PATCH 215/327] Amended table and added reusable snippet for dataproc sections --- .../connnect-bigquery.md | 22 ++++++++++++------- website/snippets/_bigquery-dataproc.md | 3 +++ 2 files changed, 17 insertions(+), 8 deletions(-) create mode 100644 website/snippets/_bigquery-dataproc.md diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index c333eb7f53d..bb9f8b66d81 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -74,14 +74,14 @@ The following are the optional configurations you can set in dbt Cloud: | [Priority](#priority) | Sets the priority for BigQuery jobs (either immediate or queued for batch processing) | String | `batch` or `interactive` | | [Retries](#retries) | Specifies the number of retries for failed jobs due to temporary issues | Integer | `3` | | [Location](#location) | Location for creating new datasets | String | `US`, `EU`, `us-west2` | -| [Maximum bytes billed](#Maximum bytes billed) | Limits the maximum number of bytes that can be billed for a query | Integer | `1000000000` | -| [Impersonate service account](#Impersonate service account) | Allows users authenticated locally to access BigQuery resources under a specified service account | String | `service-account@project.iam.gserviceaccount.com` | -| [Execution project](#Execution project) | Specifies the project ID to bill for query execution | String | `my-project-id` | -| [Job retry deadline seconds](#Job retry deadline seconds) | Sets the total number of seconds BigQuery will attempt to retry a job if it fails | Integer | `600` | -| [Job creation timeout seconds](#Job creation timeout seconds ) | Specifies the maximum timeout for the job creation step | Integer | `120` | -| [Google Cloud Storage bucket](#Google Cloud Storage bucket) | Location for storing objects in Google Cloud Storage | String | `my-bucket` | -| [Dataproc region](#Dataproc region) | Specifies the cloud region for running data processing jobs | String | `US`, `EU`, `asia-northeast1` | -| [Dataproc cluster name](#Dataproc cluster name) | Assigns a unique identifier to a group of virtual machines in Dataproc | String | `my-cluster` | +| [Maximum bytes billed](#maximum-bytes-billed) | Limits the maximum number of bytes that can be billed for a query | Integer | `1000000000` | +| [Execution project](#execution-project) | Specifies the project ID to bill for query execution | String | `my-project-id` | +| [Impersonate service account](#impersonate-service-account) | Allows users authenticated locally to access BigQuery resources under a specified service account | String | `service-account@project.iam.gserviceaccount.com` | +| [Job retry deadline seconds](#job-retry-deadline-seconds) | Sets the total number of seconds BigQuery will attempt to retry a job if it fails | Integer | `600` | +| [Job creation timeout seconds](#job-creation-timeout-seconds) | Specifies the maximum timeout for the job creation step | Integer | `120` | +| [Google cloud storage-bucket](#google-cloud-storage-bucket) | Location for storing objects in Google Cloud Storage | String | `my-bucket` | +| [Dataproc region](#dataproc-region) | Specifies the cloud region for running data processing jobs | String | `US`, `EU`, `asia-northeast1` | +| [Dataproc cluster name](#dataproc-cluster-name) | Assigns a unique identifier to a group of virtual machines in Dataproc | String | `my-cluster` | @@ -141,7 +141,13 @@ Job retry deadline seconds is the maximum amount of time BigQuery will spend ret Job creation timeout seconds is the maximum time BigQuery will wait to start the job. If the job doesn’t start within that time, it times out. + #### Run dbt python models on Google Cloud Platform + +import BigQueryDataproc from '/snippets/_bigquery-dataproc.md'; + + + Everything you store in Cloud Storage must be placed inside a [bucket](https://cloud.google.com/storage/docs/buckets). Buckets help you organize your data and manage access to it. diff --git a/website/snippets/_bigquery-dataproc.md b/website/snippets/_bigquery-dataproc.md new file mode 100644 index 00000000000..054ab7cb64d --- /dev/null +++ b/website/snippets/_bigquery-dataproc.md @@ -0,0 +1,3 @@ +To run dbt Python models on GCP, dbt uses companion services, Dataproc and Cloud Storage, that offer tight integrations with BigQuery. You may use an existing Dataproc cluster and Cloud Storage bucket, or create new ones: +- https://cloud.google.com/dataproc/docs/guides/create-cluster +- https://cloud.google.com/storage/docs/creating-buckets \ No newline at end of file From 450ab5acc8c8e03f33e615eada8cfe380bf00e0d Mon Sep 17 00:00:00 2001 From: Emily Rockman Date: Mon, 28 Oct 2024 10:31:57 -0500 Subject: [PATCH 216/327] Update version.md --- website/docs/reference/commands/version.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/commands/version.md b/website/docs/reference/commands/version.md index 2ed14117828..13d9d4e8bb5 100644 --- a/website/docs/reference/commands/version.md +++ b/website/docs/reference/commands/version.md @@ -13,7 +13,7 @@ The `--version` command-line flag returns information about the currently instal ## Versioning To learn more about release versioning for dbt Core, refer to [How dbt Core uses semantic versioning](/docs/dbt-versions/core#how-dbt-core-uses-semantic-versioning). -If using [versionless dbt Cloud](/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless), then `dbt_version` uses the latest (continuous) release version. This also follows semantic versioning guidelines, using the `YYYY.xx.yy` format, where the year is the major version (for example, `2024.04.1234`) +If using [versionless dbt Cloud](/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless), then `dbt_version` uses the latest (continuous) release version. This also follows semantic versioning guidelines, using the `YYYY.MM.DD+` format, where the year, month, and day represent the date the version was built (e.g., `2024.10.28+996c6a8`). The suffix provides additional unique identification for each build." ## Example usages From 34f144ca30393c72cdacab1070eafdef376cffc1 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 15:44:23 +0000 Subject: [PATCH 217/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index bb9f8b66d81..ffba8a8d6a8 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -61,7 +61,6 @@ To customize your optional configurations in dbt Cloud: 1. Click your name at the bottom left-hand side bar menu in dbt Cloud 2. Select **Your profile** from the menu 3. From there, click **Projects** and select your BigQuery project -4. Select your BigQuery project from the left-hand menu 5. Go to **Development Connection** and select BigQuery 6. Click **Edit** and then scroll down to **Optional settings** From 77c9c582eaf3f7397a4d14c748f6928736f71db5 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 15:45:44 +0000 Subject: [PATCH 218/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index ffba8a8d6a8..32383ec204f 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -70,7 +70,7 @@ The following are the optional configurations you can set in dbt Cloud: | Configuration | Information | Type | Example | |--------------------------------|------------------------------------------------------------------------------------------------------------------------------|---------|-----------------------------| -| [Priority](#priority) | Sets the priority for BigQuery jobs (either immediate or queued for batch processing) | String | `batch` or `interactive` | +| [Priority](#priority) | Sets the priority for BigQuery jobs (either `interactive` or queued for `batch` processing) | String | `batch` or `interactive` | | [Retries](#retries) | Specifies the number of retries for failed jobs due to temporary issues | Integer | `3` | | [Location](#location) | Location for creating new datasets | String | `US`, `EU`, `us-west2` | | [Maximum bytes billed](#maximum-bytes-billed) | Limits the maximum number of bytes that can be billed for a query | Integer | `1000000000` | From 8037d1413a5363b0fb37a12879ace77ea5168625 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Mon, 28 Oct 2024 15:58:35 +0000 Subject: [PATCH 219/327] Update connnect-bigquery.md --- .../connnect-bigquery.md | 26 +++++++++---------- 1 file changed, 13 insertions(+), 13 deletions(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 32383ec204f..69f0c48ab0e 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -68,19 +68,19 @@ To customize your optional configurations in dbt Cloud: The following are the optional configurations you can set in dbt Cloud: -| Configuration | Information | Type | Example | -|--------------------------------|------------------------------------------------------------------------------------------------------------------------------|---------|-----------------------------| -| [Priority](#priority) | Sets the priority for BigQuery jobs (either `interactive` or queued for `batch` processing) | String | `batch` or `interactive` | -| [Retries](#retries) | Specifies the number of retries for failed jobs due to temporary issues | Integer | `3` | -| [Location](#location) | Location for creating new datasets | String | `US`, `EU`, `us-west2` | -| [Maximum bytes billed](#maximum-bytes-billed) | Limits the maximum number of bytes that can be billed for a query | Integer | `1000000000` | -| [Execution project](#execution-project) | Specifies the project ID to bill for query execution | String | `my-project-id` | -| [Impersonate service account](#impersonate-service-account) | Allows users authenticated locally to access BigQuery resources under a specified service account | String | `service-account@project.iam.gserviceaccount.com` | -| [Job retry deadline seconds](#job-retry-deadline-seconds) | Sets the total number of seconds BigQuery will attempt to retry a job if it fails | Integer | `600` | -| [Job creation timeout seconds](#job-creation-timeout-seconds) | Specifies the maximum timeout for the job creation step | Integer | `120` | -| [Google cloud storage-bucket](#google-cloud-storage-bucket) | Location for storing objects in Google Cloud Storage | String | `my-bucket` | -| [Dataproc region](#dataproc-region) | Specifies the cloud region for running data processing jobs | String | `US`, `EU`, `asia-northeast1` | -| [Dataproc cluster name](#dataproc-cluster-name) | Assigns a unique identifier to a group of virtual machines in Dataproc | String | `my-cluster` | +| Configuration |
    Information
    | Type | Example | +|---------------------------|-----------------------------------------|---------|--------------------| +| [Priority](#priority) | Sets the priority for BigQuery jobs (either `interactive` or queued for `batch` processing) | String | `batch` or `interactive` | +| [Retries](#retries) | Specifies the number of retries for failed jobs due to temporary issues | Integer | `3` | +| [Location](#location) | Location for creating new datasets | String | `US`, `EU`, `us-west2` | +| [Maximum bytes billed](#maximum-bytes-billed) | Limits the maximum number of bytes that can be billed for a query | Integer | `1000000000` | +| [Execution project](#execution-project) | Specifies the project ID to bill for query execution | String | `my-project-id` | +| [Impersonate service account](#impersonate-service-account) | Allows users authenticated locally to access BigQuery resources under a specified service account | String | `service-account@project.iam.gserviceaccount.com` | +| [Job retry deadline seconds](#job-retry-deadline-seconds) | Sets the total number of seconds BigQuery will attempt to retry a job if it fails | Integer | `600` | +| [Job creation timeout seconds](#job-creation-timeout-seconds) | Specifies the maximum timeout for the job creation step | Integer | `120` | +| [Google cloud storage-bucket](#google-cloud-storage-bucket) | Location for storing objects in Google Cloud Storage | String | `my-bucket` | +| [Dataproc region](#dataproc-region) | Specifies the cloud region for running data processing jobs | String | `US`, `EU`, `asia-northeast1` | +| [Dataproc cluster name](#dataproc-cluster-name) | Assigns a unique identifier to a group of virtual machines in Dataproc | String | `my-cluster` | From 2cedcabac66411c1545817a0763093a3db95aac7 Mon Sep 17 00:00:00 2001 From: Emily Rockman Date: Mon, 28 Oct 2024 11:04:44 -0500 Subject: [PATCH 220/327] Update website/docs/reference/commands/version.md --- website/docs/reference/commands/version.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/commands/version.md b/website/docs/reference/commands/version.md index 13d9d4e8bb5..f33bc99721a 100644 --- a/website/docs/reference/commands/version.md +++ b/website/docs/reference/commands/version.md @@ -13,7 +13,7 @@ The `--version` command-line flag returns information about the currently instal ## Versioning To learn more about release versioning for dbt Core, refer to [How dbt Core uses semantic versioning](/docs/dbt-versions/core#how-dbt-core-uses-semantic-versioning). -If using [versionless dbt Cloud](/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless), then `dbt_version` uses the latest (continuous) release version. This also follows semantic versioning guidelines, using the `YYYY.MM.DD+` format, where the year, month, and day represent the date the version was built (e.g., `2024.10.28+996c6a8`). The suffix provides additional unique identification for each build." +If using [versionless dbt Cloud](/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless), then `dbt_version` uses the latest (continuous) release version. This also follows semantic versioning guidelines, using the `YYYY.MM.DD+` format, where the year, month, and day represent the date the version was built (e.g., `2024.10.28+996c6a8`). The suffix provides additional unique identification for each build. ## Example usages From c362ffc35385b1ee52c301f1f025c263b78e50bc Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Mon, 28 Oct 2024 16:09:49 +0000 Subject: [PATCH 221/327] fix column width --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index 69f0c48ab0e..e7d3f34e24d 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -68,7 +68,7 @@ To customize your optional configurations in dbt Cloud: The following are the optional configurations you can set in dbt Cloud: -| Configuration |
    Information
    | Type | Example | +| Configuration |
    Information
    | Type |
    Example
    | |---------------------------|-----------------------------------------|---------|--------------------| | [Priority](#priority) | Sets the priority for BigQuery jobs (either `interactive` or queued for `batch` processing) | String | `batch` or `interactive` | | [Retries](#retries) | Specifies the number of retries for failed jobs due to temporary issues | Integer | `3` | From 88eb73c668cd05f78effd972ec05dcdda44a42c3 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Mon, 28 Oct 2024 16:28:39 +0000 Subject: [PATCH 222/327] Update website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> --- .../docs/docs/cloud/connect-data-platform/connnect-bigquery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md index e7d3f34e24d..1ce9712ab91 100644 --- a/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md +++ b/website/docs/docs/cloud/connect-data-platform/connnect-bigquery.md @@ -157,7 +157,7 @@ Everything you store in Cloud Storage must be placed inside a [bucket](https://c A designated location in the cloud where you can run your data processing jobs efficiently. This region must match the location of your BigQuery dataset if you want to use Dataproc with BigQuery to ensure data doesn't move across regions, which can be inefficient and costly. -For more information on [dataproc regions](https://cloud.google.com/bigquery/docs/locations), refer to the BigQuery documentation. +For more information on [Dataproc regions](https://cloud.google.com/bigquery/docs/locations), refer to the BigQuery documentation.
    From c0293ac1a5c1009a4c88ca9f04c769ce5403cf5c Mon Sep 17 00:00:00 2001 From: Natalie Fiann Date: Mon, 28 Oct 2024 16:36:03 +0000 Subject: [PATCH 223/327] Added reusable snippet to core doc --- .../docs/docs/core/connect-data-platform/bigquery-setup.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/website/docs/docs/core/connect-data-platform/bigquery-setup.md b/website/docs/docs/core/connect-data-platform/bigquery-setup.md index eedc3646f89..8b1867ef620 100644 --- a/website/docs/docs/core/connect-data-platform/bigquery-setup.md +++ b/website/docs/docs/core/connect-data-platform/bigquery-setup.md @@ -390,9 +390,9 @@ my-profile: ### Running Python models on Dataproc -To run dbt Python models on GCP, dbt uses companion services, Dataproc and Cloud Storage, that offer tight integrations with BigQuery. You may use an existing Dataproc cluster and Cloud Storage bucket, or create new ones: -- https://cloud.google.com/dataproc/docs/guides/create-cluster -- https://cloud.google.com/storage/docs/creating-buckets +import BigQueryDataproc from '/snippets/_bigquery-dataproc.md'; + + Then, add the bucket name, cluster name, and cluster region to your connection profile: From e5d5e6e7a749aae19f6115a0095b260c59770798 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Mon, 28 Oct 2024 16:28:25 -0400 Subject: [PATCH 224/327] Removing Python 3.8 support (#6373) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## What are you changing in this pull request and why? Closes https://github.com/dbt-labs/docs.getdbt.com/issues/6333 ## Checklist - [ ] I have reviewed the [Content style guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md) so my content adheres to these guidelines. - [ ] The topic I'm writing about is for specific dbt version(s) and I have versioned it according to the [version a whole page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version) and/or [version a block of content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content) guidelines. - [ ] I have added checklist item(s) to this list for anything anything that needs to happen before this PR is merged, such as "needs technical review" or "change base branch." - [ ] The content in this PR requires a dbt release note, so I added one to the [release notes page](https://docs.getdbt.com/docs/dbt-versions/dbt-cloud-release-notes). --- 🚀 Deployment available! Here are the direct links to the updated files: - https://docs-getdbt-com-git-remove-pythonversion-dbt-labs.vercel.app/docs/core/connect-data-platform/glue-setup - https://docs-getdbt-com-git-remove-pythonversion-dbt-labs.vercel.app/docs/core/connect-data-platform/teradata-setup - https://docs-getdbt-com-git-remove-pythonversion-dbt-labs.vercel.app/faqs/Core/install-pip-os-prereqs - https://docs-getdbt-com-git-remove-pythonversion-dbt-labs.vercel.app/faqs/Core/install-python-compatibility --------- Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> --- .../core/connect-data-platform/glue-setup.md | 2 +- .../connect-data-platform/teradata-setup.md | 25 ++++++++----------- .../docs/faqs/Core/install-pip-os-prereqs.md | 4 +-- .../faqs/Core/install-python-compatibility.md | 2 +- .../snippets/_python-compatibility-matrix.md | 1 - 5 files changed, 15 insertions(+), 19 deletions(-) diff --git a/website/docs/docs/core/connect-data-platform/glue-setup.md b/website/docs/docs/core/connect-data-platform/glue-setup.md index f2cf717147a..a074038a87f 100644 --- a/website/docs/docs/core/connect-data-platform/glue-setup.md +++ b/website/docs/docs/core/connect-data-platform/glue-setup.md @@ -175,7 +175,7 @@ Please to update variables between **`<>`**, here are explanations of these argu ### Configuration of the local environment -Because **`dbt`** and **`dbt-glue`** adapters are compatible with Python versions 3.7, 3.8, and 3.9, check the version of Python: +Because **`dbt`** and **`dbt-glue`** adapters are compatible with Python versions 3.9 or higher, check the version of Python: ```bash $ python3 --version diff --git a/website/docs/docs/core/connect-data-platform/teradata-setup.md b/website/docs/docs/core/connect-data-platform/teradata-setup.md index df32b07bd0e..7b964b23b3d 100644 --- a/website/docs/docs/core/connect-data-platform/teradata-setup.md +++ b/website/docs/docs/core/connect-data-platform/teradata-setup.md @@ -26,20 +26,17 @@ import SetUpPages from '/snippets/_setup-pages-intro.md'; ## Python compatibility -| Plugin version | Python 3.6 | Python 3.7 | Python 3.8 | Python 3.9 | Python 3.10 | Python 3.11 | -| -------------- | ----------- | ----------- | ----------- | ----------- | ----------- | ------------ | -| 0.19.0.x | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ -| 0.20.0.x | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ -| 0.21.1.x | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ -| 1.0.0.x | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ -|1.1.x.x | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ -|1.2.x.x | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ -|1.3.x.x | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ -|1.4.x.x | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ -|1.5.x | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ -|1.6.x | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ -|1.7.x | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ -|1.8.x | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ +| Plugin version | Python 3.9 | Python 3.10 | Python 3.11 | +| -------------- | ----------- | ----------- | ------------ | +|1.0.0.x | ✅ | ❌ | ❌ +|1.1.x.x | ✅ | ✅ | ❌ +|1.2.x.x | ✅ | ✅ | ❌ +|1.3.x.x | ✅ | ✅ | ❌ +|1.4.x.x | ✅ | ✅ | ✅ +|1.5.x | ✅ | ✅ | ✅ +|1.6.x | ✅ | ✅ | ✅ +|1.7.x | ✅ | ✅ | ✅ +|1.8.x | ✅ | ✅ | ✅ ## dbt dependent packages version compatibility diff --git a/website/docs/faqs/Core/install-pip-os-prereqs.md b/website/docs/faqs/Core/install-pip-os-prereqs.md index c8435b44f33..e25c15ee570 100644 --- a/website/docs/faqs/Core/install-pip-os-prereqs.md +++ b/website/docs/faqs/Core/install-pip-os-prereqs.md @@ -33,7 +33,7 @@ python --version ``` -If you need a compatible version, you can download and install [Python version 3.8 or higher for MacOS](https://www.python.org/downloads/macos). +If you need a compatible version, you can download and install [Python version 3.9 or higher for MacOS](https://www.python.org/downloads/macos). If your machine runs on an Apple M1 architecture, we recommend that you install dbt via [Rosetta](https://support.apple.com/en-us/HT211861). This is necessary for certain dependencies that are only supported on Intel processors. ### Ubuntu/Debian @@ -55,6 +55,6 @@ pip install cryptography~=3.4 Windows requires Python and git to successfully install and run dbt Core. -Install [Git for Windows](https://git-scm.com/downloads) and [Python version 3.8 or higher for Windows](https://www.python.org/downloads/windows/). +Install [Git for Windows](https://git-scm.com/downloads) and [Python version 3.9 or higher for Windows](https://www.python.org/downloads/windows/). For further questions, please see the [Python compatibility FAQ](/faqs/Core/install-python-compatibility) diff --git a/website/docs/faqs/Core/install-python-compatibility.md b/website/docs/faqs/Core/install-python-compatibility.md index aee2d16318e..92b4ae8698b 100644 --- a/website/docs/faqs/Core/install-python-compatibility.md +++ b/website/docs/faqs/Core/install-python-compatibility.md @@ -1,6 +1,6 @@ --- title: What version of Python can I use? -description: "Python versions 3.8 and newer can be used with dbt Core" +description: "Python versions supported with dbt Core" sidebar_label: 'Python version' id: install-python-compatibility --- diff --git a/website/snippets/_python-compatibility-matrix.md b/website/snippets/_python-compatibility-matrix.md index 9ecc6c097ea..5a633c2b2a1 100644 --- a/website/snippets/_python-compatibility-matrix.md +++ b/website/snippets/_python-compatibility-matrix.md @@ -6,4 +6,3 @@ | Python 3.11 | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | | Python 3.10 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Python 3.9 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | -| Python 3.8 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | From 5ef5256ca74c469ce92eb593604e58c1fcbaabfe Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Tue, 29 Oct 2024 10:43:17 +0000 Subject: [PATCH 225/327] update dbt compare --- website/docs/docs/cloud/account-settings.md | 4 ++-- website/docs/docs/deploy/advanced-ci.md | 2 +- website/docs/docs/deploy/ci-jobs.md | 16 ++++++++-------- 3 files changed, 11 insertions(+), 11 deletions(-) diff --git a/website/docs/docs/cloud/account-settings.md b/website/docs/docs/cloud/account-settings.md index 3b2632c8747..aaad9b28e5c 100644 --- a/website/docs/docs/cloud/account-settings.md +++ b/website/docs/docs/cloud/account-settings.md @@ -45,6 +45,6 @@ To use, select the **Enable partial parsing between deployment runs** option fro To use Advanced CI features, your dbt Cloud account must have access to them. Ask your dbt Cloud administrator to enable Advanced CI features on your account, which they can do by choosing the **Enable account access to Advanced CI** option from the account settings. -Once enabled, the **Run compare changes** option becomes available in the CI job settings for you to select. +Once enabled, the **dbt compare** option becomes available in the CI job settings for you to select. - \ No newline at end of file + diff --git a/website/docs/docs/deploy/advanced-ci.md b/website/docs/docs/deploy/advanced-ci.md index 53d5108eaf3..8d4d6da8897 100644 --- a/website/docs/docs/deploy/advanced-ci.md +++ b/website/docs/docs/deploy/advanced-ci.md @@ -22,7 +22,7 @@ dbt Labs plans to provide additional Advanced CI features in the near future. Mo ## Compare changes feature {#compare-changes} -For [CI jobs](/docs/deploy/ci-jobs) that have the **Run compare changes** option enabled, dbt Cloud compares the changes between the last applied state of the production environment (defaulting to deferral for lower compute costs) and the latest changes from the pull request, whenever a pull request is opened or new commits are pushed. +For [CI jobs](/docs/deploy/ci-jobs) that have the **dbt compare** option enabled, dbt Cloud compares the changes between the last applied state of the production environment (defaulting to deferral for lower compute costs) and the latest changes from the pull request, whenever a pull request is opened or new commits are pushed. dbt reports the comparison differences in: diff --git a/website/docs/docs/deploy/ci-jobs.md b/website/docs/docs/deploy/ci-jobs.md index 0bdf9e711f5..d0a5d9c406f 100644 --- a/website/docs/docs/deploy/ci-jobs.md +++ b/website/docs/docs/deploy/ci-jobs.md @@ -16,7 +16,7 @@ dbt Labs recommends that you create your CI job in a dedicated dbt Cloud [deploy - For both the [concurrent CI checks](/docs/deploy/continuous-integration#concurrent-ci-checks) and [smart cancellation of stale builds](/docs/deploy/continuous-integration#smart-cancellation) features, your dbt Cloud account must be on the [Team or Enterprise plan](https://www.getdbt.com/pricing/). - The [SQL linting](/docs/deploy/continuous-integration#sql-linting) feature is currently available in [beta](/docs/dbt-versions/product-lifecycles#dbt-cloud) to a limited group of users and is gradually being rolled out. If you're in the beta, the **Linting** option is available for use. - [Advanced CI](/docs/deploy/advanced-ci) features: - - For the [compare changes](/docs/deploy/advanced-ci#compare-changes) feature, your dbt Cloud account must be on the [Enterprise plan](https://www.getdbt.com/pricing/) and have enabled Advanced CI features. Please ask your [dbt Cloud administrator to enable](/docs/cloud/account-settings#account-access-to-advanced-ci-features) this feauture for you. After enablement, the **Run compare changes** option becomes available in the CI job settings. + - For the [compare changes](/docs/deploy/advanced-ci#compare-changes) feature, your dbt Cloud account must be on the [Enterprise plan](https://www.getdbt.com/pricing/) and have enabled Advanced CI features. Please ask your [dbt Cloud administrator to enable](/docs/cloud/account-settings#account-access-to-advanced-ci-features) this feature for you. After enablement, the **dbt compare** option becomes available in the CI job settings. - Set up a [connection with your Git provider](/docs/cloud/git/git-configuration-in-dbt-cloud). This integration lets dbt Cloud run jobs on your behalf for job triggering. - If you're using a native [GitLab](/docs/cloud/git/connect-gitlab) integration, you need a paid or self-hosted account that includes support for GitLab webhooks and [project access tokens](https://docs.gitlab.com/ee/user/project/settings/project_access_tokens.html). If you're using GitLab Free, merge requests will trigger CI jobs but CI job status updates (success or failure of the job) will not be reported back to GitLab. @@ -25,19 +25,19 @@ To make CI job creation easier, many options on the **CI job** page are set to d 1. On your deployment environment page, click **Create job** > **Continuous integration job** to create a new CI job. -1. Options in the **Job settings** section: +2. Options in the **Job settings** section: - **Job name** — Specify the name for this CI job. - **Description** — Provide a description about the CI job. - **Environment** — By default, it’s set to the environment you created the CI job from. Use the dropdown to change the default setting. -1. Options in the **Git trigger** section: +3. Options in the **Git trigger** section: - **Triggered by pull requests** — By default, it’s enabled. Every time a developer opens up a pull request or pushes a commit to an existing pull request, this job will get triggered to run. - **Run on draft pull request** — Enable this option if you want to also trigger the job to run every time a developer opens up a draft pull request or pushes a commit to that draft pull request. -1. Options in the **Execution settings** section: +4. Options in the **Execution settings** section: - **Commands** — By default, it includes the `dbt build --select state:modified+` command. This informs dbt Cloud to build only new or changed models and their downstream dependents. Importantly, state comparison can only happen when there is a deferred environment selected to compare state to. Click **Add command** to add more [commands](/docs/deploy/job-commands) that you want to be invoked when this job runs. - **Linting** — Enable this option for dbt to [lint the SQL files](/docs/deploy/continuous-integration#sql-linting) in your project as the first step in `dbt run`. If this check runs into an error, dbt can either **Fail job run** or **Continue running job**. - - **Run compare changes** — Enable this option to compare the last applied state of the production environment (if one exists) with the latest changes from the pull request, and identify what those differences are. To enable record-level comparison and primary key analysis, you must add a [primary key constraint](/reference/resource-properties/constraints) or [uniqueness test](/reference/resource-properties/data-tests#unique). Otherwise, you'll receive a "Primary key missing" error message in dbt Cloud. + - **dbt compare** — Enable this option to compare the last applied state of the production environment (if one exists) with the latest changes from the pull request, and identify what those differences are. To enable record-level comparison and primary key analysis, you must add a [primary key constraint](/reference/resource-properties/constraints) or [uniqueness test](/reference/resource-properties/data-tests#unique). Otherwise, you'll receive a "Primary key missing" error message in dbt Cloud. To review the comparison report, navigate to the [Compare tab](/docs/deploy/run-visibility#compare-tab) in the job run's details. A summary of the report is also available from the pull request in your Git provider (see the [CI report example](#example-ci-report)). - **Compare changes against an environment (Deferral)** — By default, it’s set to the **Production** environment if you created one. This option allows dbt Cloud to check the state of the code in the PR against the code running in the deferred environment, so as to only check the modified code, instead of building the full table or the entire DAG. @@ -46,10 +46,10 @@ To make CI job creation easier, many options on the **CI job** page are set to d Older versions of dbt Cloud only allow you to defer to a specific job instead of an environment. Deferral to a job compares state against the project code that was run in the deferred job's last successful run. Deferral to an environment is more efficient as dbt Cloud will compare against the project representation (which is stored in the `manifest.json`) of the last successful deploy job run that executed in the deferred environment. By considering _all_ [deploy jobs](/docs/deploy/deploy-jobs) that run in the deferred environment, dbt Cloud will get a more accurate, latest project representation state. ::: - - **Run timeout** — Cancel the CI job if the run time exceeds the timeout value. You can use this option to help ensure that a CI check doesn't consume too much of your warehouse resources. If you enable the **Run compare changes** option, the timeout value defaults to `3600` (one hour) to prevent long-running comparisons. + - **Run timeout** — Cancel the CI job if the run time exceeds the timeout value. You can use this option to help ensure that a CI check doesn't consume too much of your warehouse resources. If you enable the **dbt compare** option, the timeout value defaults to `3600` (one hour) to prevent long-running comparisons. -1. (optional) Options in the **Advanced settings** section: +2. (optional) Options in the **Advanced settings** section: - **Environment variables** — Define [environment variables](/docs/build/environment-variables) to customize the behavior of your project when this CI job runs. You can specify that a CI job is running in a _Staging_ or _CI_ environment by setting an environment variable and modifying your project code to behave differently, depending on the context. It's common for teams to process only a subset of data for CI runs, using environment variables to branch logic in their dbt project code. - **Target name** — Define the [target name](/docs/build/custom-target-names). Similar to **Environment Variables**, this option lets you customize the behavior of the project. You can use this option to specify that a CI job is running in a _Staging_ or _CI_ environment by setting the target name and modifying your project code to behave differently, depending on the context. - **dbt version** — By default, it’s set to inherit the [dbt version](/docs/dbt-versions/core) from the environment. dbt Labs strongly recommends that you don't change the default setting. This option to change the version at the job level is useful only when you upgrade a project to the next dbt version; otherwise, mismatched versions between the environment and job can lead to confusing behavior. @@ -65,7 +65,7 @@ The following is an example of a CI check in a GitHub pull request. The green ch ### Example of CI report in pull request {#example-ci-report} -The following is an example of a CI report in a GitHub pull request, which is shown when the **Run compare changes** option is enabled for the CI job. It displays a high-level summary of the models that changed from the pull request. +The following is an example of a CI report in a GitHub pull request, which is shown when the **dbt compare** option is enabled for the CI job. It displays a high-level summary of the models that changed from the pull request. 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z>L1Irq&_S^YWY%khUq`qC|m#0mA$nKBdHE+?%=Z5K=PuKl@#>+A4t{YCVgu#LJUYH zS7mM!{_*4A{UU&^ojEGZZX4zEa_UyqwY>kD&i@YZT}?Yk106k(jK3W7e|`B?4S;*b zL{DD&7rf{Hz5y3#Ve7W)y>xTUfa{yF6 z06g?kz4LDpk!*AaA;;r Date: Tue, 29 Oct 2024 14:56:46 +0000 Subject: [PATCH 227/327] update linting --- website/docs/docs/deploy/ci-jobs.md | 4 ++-- website/docs/docs/deploy/continuous-integration.md | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/website/docs/docs/deploy/ci-jobs.md b/website/docs/docs/deploy/ci-jobs.md index d0a5d9c406f..b4832461f11 100644 --- a/website/docs/docs/deploy/ci-jobs.md +++ b/website/docs/docs/deploy/ci-jobs.md @@ -36,7 +36,7 @@ To make CI job creation easier, many options on the **CI job** page are set to d 4. Options in the **Execution settings** section: - **Commands** — By default, it includes the `dbt build --select state:modified+` command. This informs dbt Cloud to build only new or changed models and their downstream dependents. Importantly, state comparison can only happen when there is a deferred environment selected to compare state to. Click **Add command** to add more [commands](/docs/deploy/job-commands) that you want to be invoked when this job runs. - - **Linting** — Enable this option for dbt to [lint the SQL files](/docs/deploy/continuous-integration#sql-linting) in your project as the first step in `dbt run`. If this check runs into an error, dbt can either **Fail job run** or **Continue running job**. + - **Linting** — Enable this option for dbt to [lint the SQL files](/docs/deploy/continuous-integration#sql-linting) in your project as the first step in `dbt run`. If this check runs into an error, dbt can either **Stop running on error** or **Continue running on error**. - **dbt compare** — Enable this option to compare the last applied state of the production environment (if one exists) with the latest changes from the pull request, and identify what those differences are. To enable record-level comparison and primary key analysis, you must add a [primary key constraint](/reference/resource-properties/constraints) or [uniqueness test](/reference/resource-properties/data-tests#unique). Otherwise, you'll receive a "Primary key missing" error message in dbt Cloud. To review the comparison report, navigate to the [Compare tab](/docs/deploy/run-visibility#compare-tab) in the job run's details. A summary of the report is also available from the pull request in your Git provider (see the [CI report example](#example-ci-report)). @@ -49,7 +49,7 @@ To make CI job creation easier, many options on the **CI job** page are set to d - **Run timeout** — Cancel the CI job if the run time exceeds the timeout value. You can use this option to help ensure that a CI check doesn't consume too much of your warehouse resources. If you enable the **dbt compare** option, the timeout value defaults to `3600` (one hour) to prevent long-running comparisons. -2. (optional) Options in the **Advanced settings** section: +5. (optional) Options in the **Advanced settings** section: - **Environment variables** — Define [environment variables](/docs/build/environment-variables) to customize the behavior of your project when this CI job runs. You can specify that a CI job is running in a _Staging_ or _CI_ environment by setting an environment variable and modifying your project code to behave differently, depending on the context. It's common for teams to process only a subset of data for CI runs, using environment variables to branch logic in their dbt project code. - **Target name** — Define the [target name](/docs/build/custom-target-names). Similar to **Environment Variables**, this option lets you customize the behavior of the project. You can use this option to specify that a CI job is running in a _Staging_ or _CI_ environment by setting the target name and modifying your project code to behave differently, depending on the context. - **dbt version** — By default, it’s set to inherit the [dbt version](/docs/dbt-versions/core) from the environment. dbt Labs strongly recommends that you don't change the default setting. This option to change the version at the job level is useful only when you upgrade a project to the next dbt version; otherwise, mismatched versions between the environment and job can lead to confusing behavior. diff --git a/website/docs/docs/deploy/continuous-integration.md b/website/docs/docs/deploy/continuous-integration.md index c10cdfc9db1..4e152b0a97e 100644 --- a/website/docs/docs/deploy/continuous-integration.md +++ b/website/docs/docs/deploy/continuous-integration.md @@ -60,6 +60,6 @@ CI runs don't consume run slots. This guarantees a CI check will never block a p When enabled for your CI job, dbt invokes [SQLFluff](https://sqlfluff.com/) which is a modular and configurable SQL linter that warns you of complex functions, syntax, formatting, and compilation errors. By default, it lints all the changed SQL files in your project (compared to the last deferred production state). -If the linter runs into errors, you can specify whether dbt should fail the job or continue running it. When failing jobs, it helps reduce compute costs by avoiding builds for pull requests that don't meet your SQL code quality CI check. +If the linter runs into errors, you can specify whether dbt should stop running the job on error or continue running it on error. When failing jobs, it helps reduce compute costs by avoiding builds for pull requests that don't meet your SQL code quality CI check. You can use [SQLFluff Configuration Files](https://docs.sqlfluff.com/en/stable/configuration/setting_configuration.html#configuration-files) to override the default linting behavior in dbt. Create an `.sqlfluff` configuration file in your project, add your linting rules to it, and dbt Cloud will use them when linting. For complete details, refer to [Custom Usage](https://docs.sqlfluff.com/en/stable/gettingstarted.html#custom-usage) in the SQLFluff documentation. From c9180972280e54bbdb3966596f812d8014da380e Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 29 Oct 2024 14:58:52 +0000 Subject: [PATCH 228/327] Update website/docs/docs/deploy/ci-jobs.md Co-authored-by: nataliefiann <120089939+nataliefiann@users.noreply.github.com> --- website/docs/docs/deploy/ci-jobs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/deploy/ci-jobs.md b/website/docs/docs/deploy/ci-jobs.md index b4832461f11..3e8e5640834 100644 --- a/website/docs/docs/deploy/ci-jobs.md +++ b/website/docs/docs/deploy/ci-jobs.md @@ -28,7 +28,7 @@ To make CI job creation easier, many options on the **CI job** page are set to d 2. Options in the **Job settings** section: - **Job name** — Specify the name for this CI job. - **Description** — Provide a description about the CI job. - - **Environment** — By default, it’s set to the environment you created the CI job from. Use the dropdown to change the default setting. + - **Environment** — By default, this will be set to the environment you created the CI job from. Use the dropdown to change the default setting. 3. Options in the **Git trigger** section: - **Triggered by pull requests** — By default, it’s enabled. Every time a developer opens up a pull request or pushes a commit to an existing pull request, this job will get triggered to run. From 616c9fd51668210a332b8b50eb099f777fc8b16f Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 29 Oct 2024 15:02:08 +0000 Subject: [PATCH 229/327] Update website/docs/docs/deploy/ci-jobs.md Co-authored-by: nataliefiann <120089939+nataliefiann@users.noreply.github.com> --- website/docs/docs/deploy/ci-jobs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/deploy/ci-jobs.md b/website/docs/docs/deploy/ci-jobs.md index 3e8e5640834..12d880d1543 100644 --- a/website/docs/docs/deploy/ci-jobs.md +++ b/website/docs/docs/deploy/ci-jobs.md @@ -35,7 +35,7 @@ To make CI job creation easier, many options on the **CI job** page are set to d - **Run on draft pull request** — Enable this option if you want to also trigger the job to run every time a developer opens up a draft pull request or pushes a commit to that draft pull request. 4. Options in the **Execution settings** section: - - **Commands** — By default, it includes the `dbt build --select state:modified+` command. This informs dbt Cloud to build only new or changed models and their downstream dependents. Importantly, state comparison can only happen when there is a deferred environment selected to compare state to. Click **Add command** to add more [commands](/docs/deploy/job-commands) that you want to be invoked when this job runs. + - **Commands** — By default, this includes the `dbt build --select state:modified+` command. This informs dbt Cloud to build only new or changed models and their downstream dependents. Importantly, state comparison can only happen when there is a deferred environment selected to compare state to. Click **Add command** to add more [commands](/docs/deploy/job-commands) that you want to be invoked when this job runs. - **Linting** — Enable this option for dbt to [lint the SQL files](/docs/deploy/continuous-integration#sql-linting) in your project as the first step in `dbt run`. If this check runs into an error, dbt can either **Stop running on error** or **Continue running on error**. - **dbt compare** — Enable this option to compare the last applied state of the production environment (if one exists) with the latest changes from the pull request, and identify what those differences are. To enable record-level comparison and primary key analysis, you must add a [primary key constraint](/reference/resource-properties/constraints) or [uniqueness test](/reference/resource-properties/data-tests#unique). Otherwise, you'll receive a "Primary key missing" error message in dbt Cloud. From 10ce590629d0c437af990f56cede5453d8fe5fb5 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Tue, 29 Oct 2024 16:05:08 -0400 Subject: [PATCH 230/327] Bug fixes (#6376) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## What are you changing in this pull request and why? Closes https://github.com/dbt-labs/docs-internal/issues/754 Closes https://github.com/dbt-labs/docs-internal/issues/753 Closes https://github.com/dbt-labs/docs-internal/issues/752 ## Checklist - [ ] I have reviewed the [Content style guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md) so my content adheres to these guidelines. - [ ] The topic I'm writing about is for specific dbt version(s) and I have versioned it according to the [version a whole page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version) and/or [version a block of content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content) guidelines. - [ ] I have added checklist item(s) to this list for anything anything that needs to happen before this PR is merged, such as "needs technical review" or "change base branch." - [ ] The content in this PR requires a dbt release note, so I added one to the [release notes page](https://docs.getdbt.com/docs/dbt-versions/dbt-cloud-release-notes). --- 🚀 Deployment available! Here are the direct links to the updated files: - https://docs-getdbt-com-git-release-notes-dbt-labs.vercel.app/docs/dbt-versions/release-notes --------- Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com> --- website/docs/docs/dbt-versions/release-notes.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-versions/release-notes.md b/website/docs/docs/dbt-versions/release-notes.md index e28a5233f9f..2fdb0207774 100644 --- a/website/docs/docs/dbt-versions/release-notes.md +++ b/website/docs/docs/dbt-versions/release-notes.md @@ -19,7 +19,10 @@ Release notes are grouped by month for both multi-tenant and virtual private clo \* The official release date for this new format of release notes is May 15th, 2024. Historical release notes for prior dates may not reflect all available features released earlier this year or their tenancy availability. ## October 2024 - + +- **Fix:** Previously, POST requests to the Jobs API with invalid `cron` strings would return HTTP response status code 500s but would update the underlying entity. Now, POST requests to the Jobs API with invalid `cron` strings will result in status code 400s, without the underlying entity being updated. +- **Fix:** Fixed an issue where the `Source` view page in dbt Explorer did not correctly display source freshness status if older than 30 days. +- **Fix:** The UI now indicates when the description of a model is inherited from a catalog comment. - **Behavior change:** User API tokens have been deprecated. Update to [personal access tokens](/docs/dbt-cloud-apis/user-tokens) if you have any still in use. - **New**: The dbt Cloud IDE supports signed commits for Git, available for Enterprise plans. You can sign your Git commits when pushing them to the repository to prevent impersonation and enhance security. Supported Git providers are GitHub and GitLab. Refer to [Git commit signing](/docs/cloud/dbt-cloud-ide/git-commit-signing.md) for more information. - **New:** With dbt Mesh, you can now enable bidirectional dependencies across your projects. Previously, dbt enforced dependencies to only go in one direction. dbt checks for cycles across projects and raises errors if any are detected. For details, refer to [Cycle detection](/docs/collaborate/govern/project-dependencies#cycle-detection). There's also the [Intro to dbt Mesh](/best-practices/how-we-mesh/mesh-1-intro) guide to help you learn more best practices. From f788c9d0fba3907388d51bdb6d245eb7a4d1913d Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Tue, 29 Oct 2024 17:07:16 -0400 Subject: [PATCH 231/327] Remove v1.6 from docs (#6375) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## What are you changing in this pull request and why? Removes v1.6 from the dropdown. Removes content where v1.6 was "lastversion" Cleans up "firstversion="1.7" blocks Removes appropriate page version blocks ## Checklist - [ ] I have reviewed the [Content style guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md) so my content adheres to these guidelines. - [ ] The topic I'm writing about is for specific dbt version(s) and I have versioned it according to the [version a whole page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version) and/or [version a block of content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content) guidelines. - [ ] I have added checklist item(s) to this list for anything anything that needs to happen before this PR is merged, such as "needs technical review" or "change base branch." - [ ] The content in this PR requires a dbt release note, so I added one to the [release notes page](https://docs.getdbt.com/docs/dbt-versions/dbt-cloud-release-notes). --- 🚀 Deployment available! Here are the direct links to the updated files: - https://docs-getdbt-com-git-eol-dbt-labs.vercel.app/docs/build/environment-variables - https://docs-getdbt-com-git-eol-dbt-labs.vercel.app/docs/build/metricflow-time-spine - https://docs-getdbt-com-git-eol-dbt-labs.vercel.app/docs/build/packages - https://docs-getdbt-com-git-eol-dbt-labs.vercel.app/docs/build/saved-queries - https://docs-getdbt-com-git-eol-dbt-labs.vercel.app/docs/build/semantic-models - https://docs-getdbt-com-git-eol-dbt-labs.vercel.app/docs/collaborate/govern/project-dependencies - https://docs-getdbt-com-git-eol-dbt-labs.vercel.app/docs/core/connect-data-platform/about-core-connections - https://docs-getdbt-com-git-eol-dbt-labs.vercel.app/docs/core/connect-data-platform/spark-setup - https://docs-getdbt-com-git-eol-dbt-labs.vercel.app/reference/artifacts/run-results-json - https://docs-getdbt-com-git-eol-dbt-labs.vercel.app/reference/commands/cmd-docs - https://docs-getdbt-com-git-eol-dbt-labs.vercel.app/reference/commands/deps - https://docs-getdbt-com-git-eol-dbt-labs.vercel.app/reference/commands/init - https://docs-getdbt-com-git-eol-dbt-labs.vercel.app/reference/dbt_project.yml - https://docs-getdbt-com-git-eol-dbt-labs.vercel.app/reference/global-configs/resource-type - https://docs-getdbt-com-git-eol-dbt-labs.vercel.app/reference/node-selection/methods - https://docs-getdbt-com-git-eol-dbt-labs.vercel.app/reference/resource-configs/access - https://docs-getdbt-com-git-eol-dbt-labs.vercel.app/reference/resource-configs/bigquery-configs - https://docs-getdbt-com-git-eol-dbt-labs.vercel.app/reference/resource-configs/contract - https://docs-getdbt-com-git-eol-dbt-labs.vercel.app/reference/resource-configs/databricks-configs - https://docs-getdbt-com-git-eol-dbt-labs.vercel.app/reference/resource-configs/enabled - https://docs-getdbt-com-git-eol-dbt-labs.vercel.app/reference/resource-configs/group - https://docs-getdbt-com-git-eol-dbt-labs.vercel.app/reference/resource-configs/meta - https://docs-getdbt-com-git-eol-dbt-labs.vercel.app/reference/resource-configs/postgres-configs - https://docs-getdbt-com-git-eol-dbt-labs.vercel.app/reference/resource-configs/redshift-configs - https://docs-getdbt-com-git-eol-dbt-labs.vercel.app/reference/resource-configs/snowflake-configs - https://docs-getdbt-com-git-eol-dbt-labs.vercel.app/reference/resource-properties/config - https://docs-getdbt-com-git-eol-dbt-labs.vercel.app/reference/resource-properties/freshness --- contributing/single-sourcing-content.md | 2 +- website/dbt-versions.js | 134 +---------------- .../docs/docs/build/environment-variables.md | 2 +- .../docs/docs/build/metricflow-time-spine.md | 139 ------------------ website/docs/docs/build/packages.md | 30 +--- website/docs/docs/build/saved-queries.md | 3 - website/docs/docs/build/semantic-models.md | 4 - .../govern/project-dependencies.md | 2 +- .../about-core-connections.md | 4 - .../core/connect-data-platform/spark-setup.md | 5 - .../reference/artifacts/run-results-json.md | 4 - website/docs/reference/commands/cmd-docs.md | 4 - website/docs/reference/commands/deps.md | 4 - website/docs/reference/commands/init.md | 5 - website/docs/reference/dbt_project.yml.md | 73 --------- .../reference/global-configs/resource-type.md | 18 +-- .../docs/reference/node-selection/methods.md | 6 - .../docs/reference/resource-configs/access.md | 10 -- .../resource-configs/bigquery-configs.md | 7 - .../reference/resource-configs/contract.md | 9 -- .../resource-configs/databricks-configs.md | 26 +--- .../reference/resource-configs/enabled.md | 20 --- .../docs/reference/resource-configs/group.md | 20 --- .../docs/reference/resource-configs/meta.md | 20 --- .../resource-configs/postgres-configs.md | 17 --- .../resource-configs/redshift-configs.md | 15 -- .../resource-configs/snowflake-configs.md | 27 ---- .../reference/resource-properties/config.md | 20 --- .../resource-properties/freshness.md | 24 +-- .../src/theme/DocRoot/Layout/Main/index.js | 2 +- 30 files changed, 9 insertions(+), 647 deletions(-) diff --git a/contributing/single-sourcing-content.md b/contributing/single-sourcing-content.md index 537980ebdfb..6dc14d760b1 100644 --- a/contributing/single-sourcing-content.md +++ b/contributing/single-sourcing-content.md @@ -90,7 +90,7 @@ This component can be added directly to a markdown file in a similar way as othe Both properties can be used together to set a range where the content should show. In the example below, this content will only show if the selected version is between **0.21** and **1.0**: ```markdown - + Versioned content here diff --git a/website/dbt-versions.js b/website/dbt-versions.js index 9007d719bc0..baa6be6903d 100644 --- a/website/dbt-versions.js +++ b/website/dbt-versions.js @@ -28,11 +28,7 @@ exports.versions = [ }, { version: "1.7", - EOLDate: "2024-10-30", - }, - { - version: "1.6", - EOLDate: "2024-07-31", + EOLDate: "2024-11-01", }, ]; @@ -66,134 +62,6 @@ exports.versionedPages = [ page: "reference/global-configs/indirect-selection", firstVersion: "1.8", }, - { - page: "reference/resource-configs/store_failures_as", - firstVersion: "1.7", - }, - { - page: "docs/build/build-metrics-intro", - firstVersion: "1.6", - }, - { - page: "docs/build/sl-getting-started", - firstVersion: "1.6", - }, - { - page: "docs/build/about-metricflow", - firstVersion: "1.6", - }, - { - page: "docs/build/join-logic", - firstVersion: "1.6", - }, - { - page: "docs/build/validation", - firstVersion: "1.6", - }, - { - page: "docs/build/semantic-models", - firstVersion: "1.6", - }, - { - page: "docs/build/group-by", - firstVersion: "1.6", - }, - { - page: "docs/build/entities", - firstVersion: "1.6", - }, - { - page: "docs/build/metrics-overview", - firstVersion: "1.6", - }, - { - page: "docs/build/cumulative", - firstVersion: "1.6", - }, - { - page: "docs/build/derived", - firstVersion: "1.6", - }, - { - page: "docs/build/measure-proxy", - firstVersion: "1.6", - }, - { - page: "docs/build/ratio", - firstVersion: "1.6", - }, - { - page: "reference/commands/clone", - firstVersion: "1.6", - }, - { - page: "docs/collaborate/govern/project-dependencies", - firstVersion: "1.6", - }, - { - page: "reference/dbt-jinja-functions/thread_id", - firstVersion: "1.6", - }, - { - page: "reference/resource-properties/deprecation_date", - firstVersion: "1.6", - }, - { - page: "reference/commands/retry", - firstVersion: "1.6", - }, - { - page: "docs/build/groups", - firstVersion: "1.5", - }, - { - page: "docs/collaborate/govern/model-contracts", - firstVersion: "1.5", - }, - { - page: "reference/commands/show", - firstVersion: "1.5", - }, - { - page: "docs/collaborate/govern/model-access", - firstVersion: "1.5", - }, - { - page: "docs/collaborate/govern/model-versions", - firstVersion: "1.5", - }, - { - page: "reference/programmatic-invocations", - firstVersion: "1.5", - }, - { - page: "reference/resource-configs/contract", - firstVersion: "1.5", - }, - { - page: "reference/resource-configs/group", - firstVersion: "1.5", - }, - { - page: "reference/resource-properties/access", - firstVersion: "1.5", - }, - { - page: "reference/resource-properties/constraints", - firstVersion: "1.5", - }, - { - page: "reference/resource-properties/latest_version", - firstVersion: "1.5", - }, - { - page: "reference/resource-properties/versions", - firstVersion: "1.5", - }, - { - page: "reference/resource-configs/on_configuration_change", - firstVersion: "1.6", - }, ]; /** diff --git a/website/docs/docs/build/environment-variables.md b/website/docs/docs/build/environment-variables.md index c26425401a7..b87786ac596 100644 --- a/website/docs/docs/build/environment-variables.md +++ b/website/docs/docs/build/environment-variables.md @@ -102,7 +102,7 @@ dbt Cloud has a number of pre-defined variables built in. Variables are set auto The following environment variable is set automatically for the dbt Cloud IDE: - `DBT_CLOUD_GIT_BRANCH` — Provides the development Git branch name in the [dbt Cloud IDE](/docs/cloud/dbt-cloud-ide/develop-in-the-cloud). - - Available in dbt v 1.6 and later. + - Available in dbt v1.6 and later. - The variable changes when the branch is changed. - Doesn't require restarting the IDE after a branch change. - Currently not available in the [dbt Cloud CLI](/docs/cloud/cloud-cli-installation). diff --git a/website/docs/docs/build/metricflow-time-spine.md b/website/docs/docs/build/metricflow-time-spine.md index 9932a35839c..50d1d68d0bd 100644 --- a/website/docs/docs/build/metricflow-time-spine.md +++ b/website/docs/docs/build/metricflow-time-spine.md @@ -124,42 +124,6 @@ For an example project, refer to our [Jaffle shop](https://github.com/dbt-labs/j - - -```sql -{{ - config( - materialized = 'table', - ) -}} - -with days as ( - - {{ - dbt_utils.date_spine( - 'day', - "to_date('01/01/2000','mm/dd/yyyy')", - "to_date('01/01/2025','mm/dd/yyyy')" - ) - }} - -), - -final as ( - select cast(date_day as date) as date_day - from days -) - -select * from final --- filter the time spine to a specific range -where date_day > dateadd(year, -4, current_timestamp()) -and date_hour < dateadd(day, 30, current_timestamp()) -``` - - - - - ```sql {{ config( @@ -189,42 +153,9 @@ where date_day > dateadd(year, -4, current_timestamp()) and date_hour < dateadd(day, 30, current_timestamp()) ``` - - ### Daily (BigQuery) Use this model if you're using BigQuery. BigQuery supports `DATE()` instead of `TO_DATE()`: - - - - -```sql -{{config(materialized='table')}} -with days as ( - {{dbt_utils.date_spine( - 'day', - "DATE(2000,01,01)", - "DATE(2025,01,01)" - ) - }} -), - -final as ( - select cast(date_day as date) as date_day - from days -) - -select * -from final --- filter the time spine to a specific range -where date_day > dateadd(year, -4, current_timestamp()) -and date_hour < dateadd(day, 30, current_timestamp()) -``` - - - - - @@ -253,7 +184,6 @@ and date_hour < dateadd(day, 30, current_timestamp()) ``` - @@ -306,42 +236,6 @@ To create this table, you need to create a model in your dbt project called `met ### Daily - - - -```sql -{{ - config( - materialized = 'table', - ) -}} - -with days as ( - - {{ - dbt_utils.date_spine( - 'day', - "to_date('01/01/2000','mm/dd/yyyy')", - "to_date('01/01/2025','mm/dd/yyyy')" - ) - }} - -), - -final as ( - select cast(date_day as date) as date_day - from days -) - -select * from final --- filter the time spine to a specific range -where date_day > dateadd(year, -4, current_timestamp()) -and date_hour < dateadd(day, 30, current_timestamp()) -``` - - - - @@ -375,43 +269,11 @@ and date_hour < dateadd(day, 30, current_timestamp()) ``` - ### Daily (BigQuery) Use this model if you're using BigQuery. BigQuery supports `DATE()` instead of `TO_DATE()`: - - - - -```sql -{{config(materialized='table')}} -with days as ( - {{dbt_utils.date_spine( - 'day', - "DATE(2000,01,01)", - "DATE(2025,01,01)" - ) - }} -), - -final as ( - select cast(date_day as date) as date_day - from days -) - -select * -from final --- filter the time spine to a specific range -where date_day > dateadd(year, -4, current_timestamp()) -and date_hour < dateadd(day, 30, current_timestamp()) -``` - - - - - ```sql @@ -438,7 +300,6 @@ and date_hour < dateadd(day, 30, current_timestamp()) ``` - You only need to include the `date_day` column in the table. MetricFlow can handle broader levels of detail, but finer grains are only supported in versions 1.9 and higher. diff --git a/website/docs/docs/build/packages.md b/website/docs/docs/build/packages.md index b4880d88794..49cd7e00b1c 100644 --- a/website/docs/docs/build/packages.md +++ b/website/docs/docs/build/packages.md @@ -83,11 +83,7 @@ packages: version: [">=0.7.0", "<0.8.0"] ``` - - -Beginning in v1.7, `dbt deps` "pins" each package by default. See ["Pinning packages"](#pinning-packages) for details. - - +`dbt deps` "pins" each package by default. See ["Pinning packages"](#pinning-packages) for details. Where possible, we recommend installing packages via dbt Hub, since this allows dbt to handle duplicate dependencies. This is helpful in situations such as: * Your project uses both the dbt-utils and Snowplow packages, and the Snowplow package _also_ uses the dbt-utils package. @@ -146,18 +142,8 @@ packages: revision: 4e28d6da126e2940d17f697de783a717f2503188 ``` - - -We **strongly recommend** ["pinning" your packages](#pinning-packages) to a specific release by specifying a release name. - - - - - By default, `dbt deps` "pins" each package. See ["Pinning packages"](#pinning-packages) for details. - - ### Internally hosted tarball URL Some organizations have security requirements to pull resources only from internal services. To address the need to install packages from hosted environments such as Artifactory or cloud storage buckets, dbt Core enables you to install packages from internally-hosted tarball URLs. @@ -319,18 +305,6 @@ When you remove a package from your `packages.yml` file, it isn't automatically ### Pinning packages - - -We **strongly recommend** "pinning" your package to a specific release by specifying a tagged release name or a specific commit hash. - -If you do not provide a revision, or if you use the main branch, then any updates to the package will be incorporated into your project the next time you run `dbt deps`. While we generally try to avoid making breaking changes to these packages, they are sometimes unavoidable. Pinning a package revision helps prevent your code from changing without your explicit approval. - -To find the latest release for a package, navigate to the `Releases` tab in the relevant GitHub repository. For example, you can find all of the releases for the dbt-utils package [here](https://github.com/dbt-labs/dbt-utils/releases). - - - - - Beginning with v1.7, running [`dbt deps`](/reference/commands/deps) "pins" each package by creating or updating the `package-lock.yml` file in the _project_root_ where `packages.yml` is recorded. - The `package-lock.yml` file contains a record of all packages installed. @@ -338,8 +312,6 @@ Beginning with v1.7, running [`dbt deps`](/reference/commands/deps) "pins" each For example, if you use a branch name, the `package-lock.yml` file pins to the head commit. If you use a version range, it pins to the latest release. In either case, subsequent commits or versions will **not** be installed. To get new commits or versions, run `dbt deps --upgrade` or add `package-lock.yml` to your .gitignore file. - - As of v0.14.0, dbt will warn you if you install a package using the `git` syntax without specifying a revision (see below). ### Configuring packages diff --git a/website/docs/docs/build/saved-queries.md b/website/docs/docs/build/saved-queries.md index 649885f9506..ed56d13dcc9 100644 --- a/website/docs/docs/build/saved-queries.md +++ b/website/docs/docs/build/saved-queries.md @@ -154,8 +154,6 @@ saved_queries: - - #### Project-level saved queries To enable saved queries at the project level, you can set the `saved-queries` configuration in the [`dbt_project.yml` file](/reference/dbt_project.yml). This saves you time in configuring saved queries in each file: @@ -171,7 +169,6 @@ saved-queries: For more information on `dbt_project.yml` and config naming conventions, see the [dbt_project.yml reference page](/reference/dbt_project.yml#naming-convention). - To build `saved_queries`, use the [`--resource-type` flag](/reference/global-configs/resource-type) and run the command `dbt build --resource-type saved_query`. diff --git a/website/docs/docs/build/semantic-models.md b/website/docs/docs/build/semantic-models.md index d683d7cd020..609d7f1ff8d 100644 --- a/website/docs/docs/build/semantic-models.md +++ b/website/docs/docs/build/semantic-models.md @@ -119,8 +119,6 @@ semantic_models: type: categorical ``` - - Semantic models support [`meta`](/reference/resource-configs/meta), [`group`](/reference/resource-configs/group), and [`enabled`](/reference/resource-configs/enabled) [`config`](/reference/resource-properties/config) property in either the schema file or at the project level: - Semantic model config in `models/semantic.yml`: @@ -148,8 +146,6 @@ Semantic models support [`meta`](/reference/resource-configs/meta), [`group`](/r For more information on `dbt_project.yml` and config naming conventions, see the [dbt_project.yml reference page](/reference/dbt_project.yml#naming-convention). - - ### Name Define the name of the semantic model. You must define a unique name for the semantic model. The semantic graph will use this name to identify the model, and you can update it at any time. Avoid using double underscores (\_\_) in the name as they're not supported. diff --git a/website/docs/docs/collaborate/govern/project-dependencies.md b/website/docs/docs/collaborate/govern/project-dependencies.md index c054d1b27b7..7813e25efcb 100644 --- a/website/docs/docs/collaborate/govern/project-dependencies.md +++ b/website/docs/docs/collaborate/govern/project-dependencies.md @@ -18,7 +18,7 @@ This year, dbt Labs is introducing an expanded notion of `dependencies` across m ## Prerequisites - Available in [dbt Cloud Enterprise](https://www.getdbt.com/pricing). If you have an Enterprise account, you can unlock these features by designating a [public model](/docs/collaborate/govern/model-access) and adding a [cross-project ref](#how-to-write-cross-project-ref). -- Use a supported version of dbt (v1.6, v1.7, or go versionless with "[Versionless](/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless)") for both the upstream ("producer") project and the downstream ("consumer") project. +- Use a supported version of dbt (v1.6 or newer or go versionless with "[Versionless](/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless)") for both the upstream ("producer") project and the downstream ("consumer") project. - Define models in an upstream ("producer") project that are configured with [`access: public`](/reference/resource-configs/access). You need at least one successful job run after defining their `access`. - Define a deployment environment in the upstream ("producer") project [that is set to be your Production environment](/docs/deploy/deploy-environments#set-as-production-environment), and ensure it has at least one successful job run in that environment. - If the upstream project has a Staging environment, run a job in that Staging environment to ensure the downstream cross-project ref resolves. diff --git a/website/docs/docs/core/connect-data-platform/about-core-connections.md b/website/docs/docs/core/connect-data-platform/about-core-connections.md index 461aeea2e87..221f495d054 100644 --- a/website/docs/docs/core/connect-data-platform/about-core-connections.md +++ b/website/docs/docs/core/connect-data-platform/about-core-connections.md @@ -32,8 +32,6 @@ If you're using dbt from the command line (CLI), you'll need a profiles.yml file For detailed info, you can refer to the [Connection profiles](/docs/core/connect-data-platform/connection-profiles). - - ## Adapter features The following table lists the features available for adapters: @@ -55,5 +53,3 @@ For adapters that support it, you can partially build the catalog. This allows t ### Source freshness You can measure source freshness using the warehouse metadata tables on supported adapters. This allows for calculating source freshness without using the [`loaded_at_field`](/reference/resource-properties/freshness#loaded_at_field) and without querying the table directly. This is faster and more flexible (though it might sometimes be inaccurate, depending on how the warehouse tracks altered tables). You can override this with the `loaded_at_field` in the [source config](/reference/source-configs). If the adapter doesn't support this, you can still use the `loaded_at_field`. - - diff --git a/website/docs/docs/core/connect-data-platform/spark-setup.md b/website/docs/docs/core/connect-data-platform/spark-setup.md index 01318211c8f..611642e91b7 100644 --- a/website/docs/docs/core/connect-data-platform/spark-setup.md +++ b/website/docs/docs/core/connect-data-platform/spark-setup.md @@ -197,14 +197,9 @@ connect_retries: 3 - - - - ### Server side configuration Spark can be customized using [Application Properties](https://spark.apache.org/docs/latest/configuration.html). Using these properties the execution can be customized, for example, to allocate more memory to the driver process. Also, the Spark SQL runtime can be set through these properties. For example, this allows the user to [set a Spark catalogs](https://spark.apache.org/docs/latest/configuration.html#spark-sql). - ## Caveats diff --git a/website/docs/reference/artifacts/run-results-json.md b/website/docs/reference/artifacts/run-results-json.md index ff8da3559fa..13ad528d185 100644 --- a/website/docs/reference/artifacts/run-results-json.md +++ b/website/docs/reference/artifacts/run-results-json.md @@ -44,8 +44,6 @@ import RowsAffected from '/snippets/_run-result.md'; - - The run_results.json includes three attributes related to the `applied` state that complement `unique_id`: - `compiled`: Boolean entry of the node compilation status (`False` after parsing, but `True` after compiling). @@ -195,5 +193,3 @@ Here's a printed snippet from the `run_results.json`: } ], ``` - - diff --git a/website/docs/reference/commands/cmd-docs.md b/website/docs/reference/commands/cmd-docs.md index f20da08a4ae..03e11ae89f0 100644 --- a/website/docs/reference/commands/cmd-docs.md +++ b/website/docs/reference/commands/cmd-docs.md @@ -20,8 +20,6 @@ The command is responsible for generating your project's documentation website b dbt docs generate ``` - - Use the `--select` argument to limit the nodes included within `catalog.json`. When this flag is provided, step (3) will be restricted to the selected nodes. All other nodes will be excluded. Step (2) is unaffected. **Example**: @@ -30,8 +28,6 @@ Use the `--select` argument to limit the nodes included within `catalog.json`. W dbt docs generate --select +orders ``` - - Use the `--no-compile` argument to skip re-compilation. When this flag is provided, `dbt docs generate` will skip step (2) described above. **Example**: diff --git a/website/docs/reference/commands/deps.md b/website/docs/reference/commands/deps.md index 85c103e6337..0cb8e50f7a6 100644 --- a/website/docs/reference/commands/deps.md +++ b/website/docs/reference/commands/deps.md @@ -58,8 +58,6 @@ Updates available for packages: ['tailsdotcom/dbt_artifacts', 'dbt-labs/snowplow Update your versions in packages.yml, then run dbt deps ``` - - ## Predictable package installs Starting in dbt Core v1.7, dbt generates a `package-lock.yml` file in the root of your project. This contains the complete set of resolved packages based on the `packages` configuration in `dependencies.yml` or `packages.yml`. Each subsequent invocation of `dbt deps` will install from the _locked_ set of packages specified in this file. Storing the complete set of required packages (with pinned versions) in version-controlled code ensures predictable installs in production and consistency across all developers and environments. @@ -97,5 +95,3 @@ dbt deps --add-package https://github.com/fivetran/dbt_amplitude@v0.3.0 --source # add package from local dbt deps --add-package /opt/dbt/redshift --source local ``` - - diff --git a/website/docs/reference/commands/init.md b/website/docs/reference/commands/init.md index 8945eb823db..112fff63a38 100644 --- a/website/docs/reference/commands/init.md +++ b/website/docs/reference/commands/init.md @@ -17,15 +17,10 @@ Then, it will: - Create a new folder with your project name and sample files, enough to get you started with dbt - Create a connection profile on your local machine. The default location is `~/.dbt/profiles.yml`. Read more in [configuring your profile](/docs/core/connect-data-platform/connection-profiles). - - When using `dbt init` to initialize your project, include the `--profile` flag to specify an existing `profiles.yml` as the `profile:` key to use instead of creating a new one. For example, `dbt init --profile profile_name`. - - If the profile does not exist in `profiles.yml` or the command is run inside an existing project, the command raises an error. - ## Existing project diff --git a/website/docs/reference/dbt_project.yml.md b/website/docs/reference/dbt_project.yml.md index e7cd5bbeb79..1bb9dd2cf9c 100644 --- a/website/docs/reference/dbt_project.yml.md +++ b/website/docs/reference/dbt_project.yml.md @@ -14,8 +14,6 @@ Every [dbt project](/docs/build/projects) needs a `dbt_project.yml` file — thi The following example is a list of all available configurations in the `dbt_project.yml` file: - - ```yml @@ -94,77 +92,6 @@ vars: ``` - - - - - - -```yml -[name](/reference/project-configs/name): string - -[config-version](/reference/project-configs/config-version): 2 -[version](/reference/project-configs/version): version - -[profile](/reference/project-configs/profile): profilename - -[model-paths](/reference/project-configs/model-paths): [directorypath] -[seed-paths](/reference/project-configs/seed-paths): [directorypath] -[test-paths](/reference/project-configs/test-paths): [directorypath] -[analysis-paths](/reference/project-configs/analysis-paths): [directorypath] -[macro-paths](/reference/project-configs/macro-paths): [directorypath] -[snapshot-paths](/reference/project-configs/snapshot-paths): [directorypath] -[docs-paths](/reference/project-configs/docs-paths): [directorypath] -[asset-paths](/reference/project-configs/asset-paths): [directorypath] - -[packages-install-path](/reference/project-configs/packages-install-path): directorypath - -[clean-targets](/reference/project-configs/clean-targets): [directorypath] - -[query-comment](/reference/project-configs/query-comment): string - -[require-dbt-version](/reference/project-configs/require-dbt-version): version-range | [version-range] - -[dbt-cloud](/docs/cloud/cloud-cli-installation): - [project-id](/docs/cloud/configure-cloud-cli#configure-the-dbt-cloud-cli): project_id # Required - [defer-env-id](/docs/cloud/about-cloud-develop-defer#defer-in-dbt-cloud-cli): environment_id # Optional - -[quoting](/reference/project-configs/quoting): - database: true | false - schema: true | false - identifier: true | false - -models: - [](/reference/model-configs) - -seeds: - [](/reference/seed-configs) - -snapshots: - [](/reference/snapshot-configs) - -sources: - [](source-configs) - -tests: - [](/reference/data-test-configs) - -vars: - [](/docs/build/project-variables) - -[on-run-start](/reference/project-configs/on-run-start-on-run-end): sql-statement | [sql-statement] -[on-run-end](/reference/project-configs/on-run-start-on-run-end): sql-statement | [sql-statement] - -[dispatch](/reference/project-configs/dispatch-config): - - macro_namespace: packagename - search_order: [packagename] - -[restrict-access](/docs/collaborate/govern/model-access): true | false - -``` - - - ## Naming convention diff --git a/website/docs/reference/global-configs/resource-type.md b/website/docs/reference/global-configs/resource-type.md index 9e6ec82df06..431b6c049cb 100644 --- a/website/docs/reference/global-configs/resource-type.md +++ b/website/docs/reference/global-configs/resource-type.md @@ -24,20 +24,7 @@ The `--exclude-resource-type` flag is only available in dbt version 1.8 and high The available resource types are: - - -- [`analysis`](/docs/build/analyses) -- [`exposure`](/docs/build/exposures) -- [`metric`](/docs/build/metrics-overview) -- [`model`](/docs/build/models) -- [`seed`](/docs/build/seeds) -- [`snapshot`](/docs/build/snapshots) -- [`source`](/docs/build/sources) -- [`test`](/docs/build/data-tests) - - - - + - [`analysis`](/docs/build/analyses) - [`exposure`](/docs/build/exposures) @@ -82,7 +69,6 @@ Instead of targeting specific resources, use the `--resource-flag` or `--exclude - - In this example, run the following command to include _all_ saved queries with the `--resource-type` flag: @@ -94,8 +80,6 @@ Instead of targeting specific resources, use the `--resource-flag` or `--exclude - - - In this example, use the following command to exclude _all_ unit tests from your dbt build process. Note that the `--exclude-resource-type` flag is only available in dbt version 1.8 and higher: diff --git a/website/docs/reference/node-selection/methods.md b/website/docs/reference/node-selection/methods.md index 38484494e4b..7587a9fd2b1 100644 --- a/website/docs/reference/node-selection/methods.md +++ b/website/docs/reference/node-selection/methods.md @@ -310,10 +310,6 @@ dbt list --select "+semantic_model:orders" # list your semantic model named "or ``` ### The "saved_query" method - -Supported in v1.7 or newer. - - The `saved_query` method selects [saved queries](/docs/build/saved-queries). @@ -322,8 +318,6 @@ dbt list --select "saved_query:*" # list all saved queries dbt list --select "+saved_query:orders_saved_query" # list your saved query named "orders_saved_query" and all upstream resources ``` - - ### The "unit_test" method diff --git a/website/docs/reference/resource-configs/access.md b/website/docs/reference/resource-configs/access.md index 0f67a454344..c73e09dd639 100644 --- a/website/docs/reference/resource-configs/access.md +++ b/website/docs/reference/resource-configs/access.md @@ -15,14 +15,6 @@ models: - - -Access modifiers may be applied to models one-by-one in YAML properties. In v1.5 and v1.6, you are unable to configure `access` for multiple models at once. Upgrade to v1.7 for additional configuration options. A group or subfolder contains models with varying access levels, so when you designate a model with `access: public`, make sure you intend for this behavior. - - - - - You can apply access modifiers in config files, including the `dbt_project.yml`, or to models one-by-one in `properties.yml`. Applying access configs to a subfolder modifies the default for all models in that subfolder, so make sure you intend for this behavior. When setting individual model access, a group or subfolder might contain a variety of access levels, so when you designate a model with `access: public` make sure you intend for this behavior. There are multiple approaches to configuring access: @@ -83,8 +75,6 @@ There are multiple approaches to configuring access: ``` - - After you define `access`, rerun a production job to apply the change. ## Definition diff --git a/website/docs/reference/resource-configs/bigquery-configs.md b/website/docs/reference/resource-configs/bigquery-configs.md index b943f114861..9dd39c936b6 100644 --- a/website/docs/reference/resource-configs/bigquery-configs.md +++ b/website/docs/reference/resource-configs/bigquery-configs.md @@ -710,8 +710,6 @@ models: Views with this configuration will be able to select from objects in `project_1.dataset_1` and `project_2.dataset_2`, even when they are located elsewhere and queried by users who do not otherwise have access to `project_1.dataset_1` and `project_2.dataset_2`. - - ## Materialized views The BigQuery adapter supports [materialized views](https://cloud.google.com/bigquery/docs/materialized-views-intro) @@ -894,10 +892,6 @@ As with most data platforms, there are limitations associated with materialized Find more information about materialized view limitations in Google's BigQuery [docs](https://cloud.google.com/bigquery/docs/materialized-views-intro#limitations). - - - - ## Python models The BigQuery adapter supports Python models with the following additional configuration parameters: @@ -914,4 +908,3 @@ By default, this is set to `True` to support the default `intermediate_format` o ### The `intermediate_format` parameter The `intermediate_format` parameter specifies which file format to use when writing records to a table. The default is `parquet`. - diff --git a/website/docs/reference/resource-configs/contract.md b/website/docs/reference/resource-configs/contract.md index 2f52fc26e1f..fb25076b0d9 100644 --- a/website/docs/reference/resource-configs/contract.md +++ b/website/docs/reference/resource-configs/contract.md @@ -16,14 +16,6 @@ This is to ensure that the people querying your model downstream—both inside a ## Data type aliasing - - -The `data_type` defined in your YAML file must match a data type your data platform recognizes. dbt does not do any type aliasing itself. If your data platform recognizes both `int` and `integer` as corresponding to the same type, then they will return a match. - - - - - dbt uses built-in type aliasing for the `data_type` defined in your YAML. For example, you can specify `string` in your contract, and on Postgres/Redshift, dbt will convert it to `text`. If dbt doesn't recognize the `data_type` name among its known aliases, it will pass it through as-is. This is enabled by default, but you can opt-out by setting `alias_types` to `false`. Example for disabling: @@ -42,7 +34,6 @@ models: ``` - ## Size, precision, and scale diff --git a/website/docs/reference/resource-configs/databricks-configs.md b/website/docs/reference/resource-configs/databricks-configs.md index 88014d0ac4d..1a7bd42b848 100644 --- a/website/docs/reference/resource-configs/databricks-configs.md +++ b/website/docs/reference/resource-configs/databricks-configs.md @@ -7,23 +7,7 @@ id: "databricks-configs" When materializing a model as `table`, you may include several optional configs that are specific to the dbt-databricks plugin, in addition to the standard [model configs](/reference/model-configs). - - - -| Option | Description | Required? | Model Support | Example | -|---------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------|---------------|--------------------------| -| file_format | The file format to use when creating tables (`parquet`, `delta`, `hudi`, `csv`, `json`, `text`, `jdbc`, `orc`, `hive` or `libsvm`). | Optional | SQL, Python | `delta` | -| location_root | The created table uses the specified directory to store its data. The table alias is appended to it. | Optional | SQL, Python | `/mnt/root` | -| partition_by | Partition the created table by the specified columns. A directory is created for each partition. | Optional | SQL, Python | `date_day` | -| liquid_clustered_by | Cluster the created table by the specified columns. Clustering method is based on [Delta's Liquid Clustering feature](https://docs.databricks.com/en/delta/clustering.html). Available since dbt-databricks 1.6.2. | Optional | SQL | `date_day` | -| clustered_by | Each partition in the created table will be split into a fixed number of buckets by the specified columns. | Optional | SQL, Python | `country_code` | -| buckets | The number of buckets to create while clustering. | Required if `clustered_by` is specified | SQL, Python | `8` | -| tblproperties | [Tblproperties](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-tblproperties.html) to be set on the created table. | Optional | SQL | `{'this.is.my.key': 12}` | -| compression | Set the compression algorithm. | Optional | SQL, Python | `zstd` | - - - - + | Option | Description | Required? | Model Support | Example | @@ -492,8 +476,6 @@ insert into analytics.replace_where_incremental - - ## Selecting compute per model Beginning in version 1.7.2, you can assign which compute resource to use on a per-model basis. @@ -682,8 +664,6 @@ def model(dbt, session): If your default compute is a SQL Warehouse, you will need to specify an all purpose cluster `http_path` in this way. - - ## Persisting model descriptions Relation-level docs persistence is supported in dbt v0.17.0. For more @@ -895,9 +875,5 @@ One application of this feature is making `delta` tables compatible with `iceber ) }} ``` - - `tblproperties` can be specified for python models, but they will be applied via an `ALTER` statement after table creation. This is due to a limitation in PySpark. - - diff --git a/website/docs/reference/resource-configs/enabled.md b/website/docs/reference/resource-configs/enabled.md index febf1e50c88..b74d7250907 100644 --- a/website/docs/reference/resource-configs/enabled.md +++ b/website/docs/reference/resource-configs/enabled.md @@ -230,14 +230,6 @@ exposures: - - -Support for disabling semantic models has been added in dbt Core v1.7 - - - - - ```yaml @@ -259,20 +251,10 @@ semantic_models: - - - - -Support for disabling saved queries has been added in dbt Core v1.7. - - - - - ```yaml @@ -294,8 +276,6 @@ saved_queries: - - diff --git a/website/docs/reference/resource-configs/group.md b/website/docs/reference/resource-configs/group.md index 717d7de89f5..cd0ad2683f5 100644 --- a/website/docs/reference/resource-configs/group.md +++ b/website/docs/reference/resource-configs/group.md @@ -218,14 +218,6 @@ metrics: - - -Support for grouping semantic models has been added in dbt Core v1.7. - - - - - ```yaml @@ -247,20 +239,10 @@ semantic_models: - - - - -Support for grouping saved queries has been added in dbt Core v1.7. - - - - - ```yaml @@ -282,8 +264,6 @@ saved_queries: - - diff --git a/website/docs/reference/resource-configs/meta.md b/website/docs/reference/resource-configs/meta.md index 2bcccdd4141..53a4f77184e 100644 --- a/website/docs/reference/resource-configs/meta.md +++ b/website/docs/reference/resource-configs/meta.md @@ -179,14 +179,6 @@ exposures: - - -Support for grouping semantic models was added in dbt Core v1.7 - - - - - ```yml @@ -201,8 +193,6 @@ semantic_models: The `meta` config can also be defined under the `semantic-models` config block in `dbt_project.yml`. See [configs and properties](/reference/configs-and-properties) for details. - - @@ -249,14 +239,6 @@ metrics: - - -Support for saved queries has been added in dbt Core v1.7. - - - - - ```yml @@ -268,8 +250,6 @@ saved_queries: - - diff --git a/website/docs/reference/resource-configs/postgres-configs.md b/website/docs/reference/resource-configs/postgres-configs.md index 07cfc938f1c..f2bf90a93c0 100644 --- a/website/docs/reference/resource-configs/postgres-configs.md +++ b/website/docs/reference/resource-configs/postgres-configs.md @@ -185,20 +185,3 @@ It's worth noting that, unlike tables, dbt monitors this parameter for changes a This happens via a `DROP/CREATE` of the indexes, which can be thought of as an `ALTER` of the materialized view. Learn more about these parameters in Postgres's [docs](https://www.postgresql.org/docs/current/sql-creatematerializedview.html). - - - -### Limitations - -#### Changing materialization to and from "materialized_view" - -Swapping an already materialized model to a materialized view, and vice versa, is not supported. -The workaround is to manually drop the existing materialization in the data warehouse prior to calling `dbt run`. -Running with `--full-refresh` flag will not work to drop the existing table or view and create the materialized view (and vice versa). -This would only need to be done once as the existing object would then be a materialized view. - -For example,`my_model`, has already been materialized as a table in the underlying data platform via `dbt run`. -If the user changes the model's config to `materialized="materialized_view"`, they will get an error. -The solution is to execute `DROP TABLE my_model` on the data warehouse before trying the model again. - - diff --git a/website/docs/reference/resource-configs/redshift-configs.md b/website/docs/reference/resource-configs/redshift-configs.md index e7149ae484e..b033cd6267e 100644 --- a/website/docs/reference/resource-configs/redshift-configs.md +++ b/website/docs/reference/resource-configs/redshift-configs.md @@ -230,21 +230,6 @@ As with most data platforms, there are limitations associated with materialized Find more information about materialized view limitations in Redshift's [docs](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-create-sql-command.html#mv_CREATE_MATERIALIZED_VIEW-limitations). - - -#### Changing materialization from "materialized_view" to "table" or "view" - -Swapping a materialized view to a table or view is not supported. -You must manually drop the existing materialized view in the data warehouse before calling `dbt run`. -Normally, re-running with the `--full-refresh` flag would resolve this, but not in this case. -This would only need to be done once as the existing object would then be a materialized view. - -For example, assume that a materialized view, `my_mv.sql`, has already been materialized to the underlying data platform via `dbt run`. -If the user changes the model's config to `materialized="table"`, they will get an error. -The workaround is to execute `DROP MATERIALIZED VIEW my_mv CASCADE` on the data warehouse before trying the model again. - - - ## Unit test limitations diff --git a/website/docs/reference/resource-configs/snowflake-configs.md b/website/docs/reference/resource-configs/snowflake-configs.md index abb516d2258..b95b79241ba 100644 --- a/website/docs/reference/resource-configs/snowflake-configs.md +++ b/website/docs/reference/resource-configs/snowflake-configs.md @@ -337,33 +337,6 @@ For dbt limitations, these dbt features are not supported: - [Model contracts](/docs/collaborate/govern/model-contracts) - [Copy grants configuration](/reference/resource-configs/snowflake-configs#copying-grants) - - -#### Changing materialization to and from "dynamic_table" - -Version `1.6.x` does not support altering the materialization from a non-dynamic table be a dynamic table and vice versa. -Re-running with the `--full-refresh` does not resolve this either. -The workaround is manually dropping the existing model in the warehouse prior to calling `dbt run`. -This only needs to be done once for the conversion. - -For example, assume for the example model below, `my_model`, has already been materialized to the underlying data platform via `dbt run`. -If the model config is updated to `materialized="dynamic_table"`, dbt will return an error. -The workaround is to execute `DROP TABLE my_model` on the data warehouse before trying the model again. - - - -```yaml - -{{ config( - materialized="table" # or any model type (e.g. view, incremental) -) }} - -``` - - - - - ## Temporary tables Incremental table merges for Snowflake prefer to utilize a `view` rather than a `temporary table`. The reasoning is to avoid the database write step that a temporary table would initiate and save compile time. diff --git a/website/docs/reference/resource-properties/config.md b/website/docs/reference/resource-properties/config.md index 8190c7dd8ca..1e1867dda04 100644 --- a/website/docs/reference/resource-properties/config.md +++ b/website/docs/reference/resource-properties/config.md @@ -170,14 +170,6 @@ exposures: - - -Support for the `config` property on `semantic_models` was added in dbt Core v1.7 - - - - - ```yml @@ -193,20 +185,10 @@ semantic_models: - - - - -Support for the `config` property on `saved queries` was added in dbt Core v1.7. - - - - - ```yml @@ -226,8 +208,6 @@ saved-queries: - - diff --git a/website/docs/reference/resource-properties/freshness.md b/website/docs/reference/resource-properties/freshness.md index 03037e7b681..d68dee4fade 100644 --- a/website/docs/reference/resource-properties/freshness.md +++ b/website/docs/reference/resource-properties/freshness.md @@ -37,8 +37,6 @@ A freshness block is used to define the acceptable amount of time between the mo In the `freshness` block, one or both of `warn_after` and `error_after` can be provided. If neither is provided, then dbt will not calculate freshness snapshots for the tables in this source. - - In most cases, the `loaded_at_field` is required. Some adapters support calculating source freshness from the warehouse metadata tables and can exclude the `loaded_at_field`. If a source has a `freshness:` block, dbt will attempt to calculate freshness for that source: @@ -62,29 +60,9 @@ To exclude a source from freshness calculations, you have two options: - Don't add a `freshness:` block. - Explicitly set `freshness: null`. - - - - -Additionally, the `loaded_at_field` is required to calculate freshness for a table. If a `loaded_at_field` is not provided, then dbt will not calculate freshness for the table. - -Freshness blocks are applied hierarchically: -- A `freshness` and `loaded_at_field` property added to a source will be applied to all tables defined in that source -- A `freshness` and `loaded_at_field` property added to a source _table_ will override any properties applied to the source. - -This is useful when all of the tables in a source have the same `loaded_at_field`, as is often the case. - - ## loaded_at_field - -(Optional on adapters that support pulling freshness from warehouse metadata tables, required otherwise.) - - - -(Required) - - +Optional on adapters that support pulling freshness from warehouse metadata tables, required otherwise.

    A column name (or expression) that returns a timestamp indicating freshness. If using a date field, you may have to cast it to a timestamp: diff --git a/website/src/theme/DocRoot/Layout/Main/index.js b/website/src/theme/DocRoot/Layout/Main/index.js index a8c9d449b82..154c3cbfab6 100644 --- a/website/src/theme/DocRoot/Layout/Main/index.js +++ b/website/src/theme/DocRoot/Layout/Main/index.js @@ -89,7 +89,7 @@ export default function DocRootLayoutMain({ if (new Date() > new Date(EOLDate)) { setEOLData({ showEOLBanner: true, - EOLBannerText: `This version of dbt Core is
    no longer supported. There will be no more patches or security fixes. For improved performance, security, and features, upgrade to the latest stable version.`, + EOLBannerText: `This version of dbt Core is no longer supported. There will be no more patches or security fixes. For improved performance, security, and features, upgrade to the latest stable version. Some dbt Cloud customers might have an extended critical support window. `, }); } else if (new Date() > threeMonths) { setEOLData({ From b1f9c688f04ef473670014cad9bf448157c1f65e Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 29 Oct 2024 23:18:15 +0000 Subject: [PATCH 232/327] add microbatch updates (#6351) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit this pr adds updates to incremental microbatch per core prs: - [#10878](https://github.com/dbt-labs/dbt-core/pull/10878) - makes it so --event-time-start adn --event-time-end are mutually required. - [#10876](https://github.com/dbt-labs/dbt-core/pull/10876) - changes lookback default window to 1 (from 0) [ X ] dbt Core PRs must get merged first before docs pr is merged --- 🚀 Deployment available! Here are the direct links to the updated files: - https://docs-getdbt-com-git-update-microbatch-dbt-labs.vercel.app/docs/build/incremental-microbatch --- website/docs/docs/build/incremental-microbatch.md | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/website/docs/docs/build/incremental-microbatch.md b/website/docs/docs/build/incremental-microbatch.md index 38e0edddfd6..6d80007e2d8 100644 --- a/website/docs/docs/build/incremental-microbatch.md +++ b/website/docs/docs/build/incremental-microbatch.md @@ -165,7 +165,7 @@ Several configurations are relevant to microbatch models, and some are required: | `event_time` | Column (required) | The column indicating "at what time did the row occur." Required for your microbatch model and any direct parents that should be filtered. | N/A | | `begin` | Date (required) | The "beginning of time" for the microbatch model. This is the starting point for any initial or full-refresh builds. For example, a daily-grain microbatch model run on `2024-10-01` with `begin = '2023-10-01` will process 366 batches (it's a leap year!) plus the batch for "today." | N/A | | `batch_size` | String (required) | The granularity of your batches. Supported values are `hour`, `day`, `month`, and `year` | N/A | -| `lookback` | Integer (optional) | Process X batches prior to the latest bookmark to capture late-arriving records. | `0` | +| `lookback` | Integer (optional) | Process X batches prior to the latest bookmark to capture late-arriving records. | `1` | @@ -192,12 +192,15 @@ During standard incremental runs, dbt will process batches according to the curr Whether to fix erroneous source data or retroactively apply a change in business logic, you may need to reprocess a large amount of historical data. -Backfilling a microbatch model is as simple as selecting it to run or build, and specifying a "start" and "end" for `event_time`. As always, dbt will process the batches between the start and end as independent queries. +Backfilling a microbatch model is as simple as selecting it to run or build, and specifying a "start" and "end" for `event_time`. Note that `--event-time-start` and `--event-time-end` are mutually necessary, meaning that if you specify one, you must specify the other. + +As always, dbt will process the batches between the start and end as independent queries. ```bash dbt run --event-time-start "2024-09-01" --event-time-end "2024-09-04" ``` + ### Retry From ccceae45d4d6801ec7daefa1ebcda71573a00869 Mon Sep 17 00:00:00 2001 From: Ben Cassell <98852248+benc-db@users.noreply.github.com> Date: Tue, 29 Oct 2024 17:00:13 -0700 Subject: [PATCH 233/327] Update databricks-configs.md for remaining 1.9 changes (#6379) ## What are you changing in this pull request and why? Updates documentation for the remaining 1.9 changes, including: iceberg support, expanded merge configurability, and microbatch ## Checklist - [x] I have reviewed the [Content style guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md) so my content adheres to these guidelines. - [x] The topic I'm writing about is for specific dbt version(s) and I have versioned it according to the [version a whole page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version) and/or [version a block of content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content) guidelines. - [x] I have added checklist item(s) to this list for anything anything that needs to happen before this PR is merged, such as "needs technical review" or "change base branch." --------- Co-authored-by: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> --- .../resource-configs/databricks-configs.md | 242 +++++++++++++++++- 1 file changed, 239 insertions(+), 3 deletions(-) diff --git a/website/docs/reference/resource-configs/databricks-configs.md b/website/docs/reference/resource-configs/databricks-configs.md index 1a7bd42b848..138d9a746bd 100644 --- a/website/docs/reference/resource-configs/databricks-configs.md +++ b/website/docs/reference/resource-configs/databricks-configs.md @@ -26,7 +26,7 @@ We do not yet have a PySpark API to set tblproperties at table creation, so this - + 1.8 introduces support for [Tags](https://docs.databricks.com/en/data-governance/unity-catalog/tags.html) at the table level, in addition to all table configuration supported in 1.7. @@ -35,7 +35,7 @@ We do not yet have a PySpark API to set tblproperties at table creation, so this | file_format | The file format to use when creating tables (`parquet`, `delta`, `hudi`, `csv`, `json`, `text`, `jdbc`, `orc`, `hive` or `libsvm`). | Optional | SQL, Python | `delta` | | location_root | The created table uses the specified directory to store its data. The table alias is appended to it. | Optional | SQL, Python | `/mnt/root` | | partition_by | Partition the created table by the specified columns. A directory is created for each partition. | Optional | SQL, Python | `date_day` | -| liquid_clustered_by | Cluster the created table by the specified columns. Clustering method is based on [Delta's Liquid Clustering feature](https://docs.databricks.com/en/delta/clustering.html). Available since dbt-databricks 1.6.2. | Optional | SQL | `date_day` | +| liquid_clustered_by | Cluster the created table by the specified columns. Clustering method is based on [Delta's Liquid Clustering feature](https://docs.databricks.com/en/delta/clustering.html). Available since dbt-databricks 1.6.2. | Optional | SQL, Python | `date_day` | | clustered_by | Each partition in the created table will be split into a fixed number of buckets by the specified columns. | Optional | SQL, Python | `country_code` | | buckets | The number of buckets to create while clustering | Required if `clustered_by` is specified | SQL, Python | `8` | | tblproperties | [Tblproperties](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-tblproperties.html) to be set on the created table | Optional | SQL, Python* | `{'this.is.my.key': 12}` | @@ -51,6 +51,29 @@ We do not yet have a PySpark API to set tblproperties at table creation, so this +dbt Core v.9 and Versionless dbt Clouyd support for `table_format: iceberg`, in addition to all previous table configurations supported in 1.8. + +| Option | Description | Required? | Model Support | Example | +|---------------------|-----------------------------|-------------------------------------------|-----------------|--------------------------| +| table_format | Whether or not to provision [Iceberg](https://docs.databricks.com/en/delta/uniform.html) compatibility for the materialization | Optional | SQL, Python | `iceberg` | +| file_format+ | The file format to use when creating tables (`parquet`, `delta`, `hudi`, `csv`, `json`, `text`, `jdbc`, `orc`, `hive` or `libsvm`). | Optional | SQL, Python | `delta` | +| location_root | The created table uses the specified directory to store its data. The table alias is appended to it. | Optional | SQL, Python | `/mnt/root` | +| partition_by | Partition the created table by the specified columns. A directory is created for each partition. | Optional | SQL, Python | `date_day` | +| liquid_clustered_by | Cluster the created table by the specified columns. Clustering method is based on [Delta's Liquid Clustering feature](https://docs.databricks.com/en/delta/clustering.html). Available since dbt-databricks 1.6.2. | Optional | SQL, Python | `date_day` | +| clustered_by | Each partition in the created table will be split into a fixed number of buckets by the specified columns. | Optional | SQL, Python | `country_code` | +| buckets | The number of buckets to create while clustering | Required if `clustered_by` is specified | SQL, Python | `8` | +| tblproperties | [Tblproperties](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-tblproperties.html) to be set on the created table | Optional | SQL, Python* | `{'this.is.my.key': 12}` | +| databricks_tags | [Tags](https://docs.databricks.com/en/data-governance/unity-catalog/tags.html) to be set on the created table | Optional | SQL++, Python++ | `{'my_tag': 'my_value'}` | +| compression | Set the compression algorithm. | Optional | SQL, Python | `zstd` | + +\* We do not yet have a PySpark API to set tblproperties at table creation, so this feature is primarily to allow users to anotate their python-derived tables with tblproperties. +\+ When `table_format` is `iceberg`, `file_format` must be `delta`. +\++ `databricks_tags` are currently only supported at the table level, and applied via `ALTER` statements. + + + + + ### Python submission methods In dbt v1.9 and higher, or in [Versionless](/docs/dbt-versions/versionless-cloud) dbt Cloud, you can use these four options for `submission_method`: @@ -150,6 +173,7 @@ models: + ## Incremental models dbt-databricks plugin leans heavily on the [`incremental_strategy` config](/docs/build/incremental-strategy). This config tells the incremental materialization how to build models in runs beyond their first. It can be set to one of four values: @@ -160,6 +184,23 @@ dbt-databricks plugin leans heavily on the [`incremental_strategy` config](/docs Each of these strategies has its pros and cons, which we'll discuss below. As with any model config, `incremental_strategy` may be specified in `dbt_project.yml` or within a model file's `config()` block. + + + + +## Incremental models + +dbt-databricks plugin leans heavily on the [`incremental_strategy` config](/docs/build/incremental-strategy). This config tells the incremental materialization how to build models in runs beyond their first. It can be set to one of five values: + - **`append`**: Insert new records without updating or overwriting any existing data. + - **`insert_overwrite`**: If `partition_by` is specified, overwrite partitions in the with new data. If no `partition_by` is specified, overwrite the entire table with new data. + - **`merge`** (default; Delta and Hudi file format only): Match records based on a `unique_key`, updating old records, and inserting new ones. (If no `unique_key` is specified, all new data is inserted, similar to `append`.) + - **`replace_where`** (Delta file format only): Match records based on `incremental_predicates`, replacing all records that match the predicates from the existing table with records matching the predicates from the new data. (If no `incremental_predicates` are specified, all new data is inserted, similar to `append`.) + - **`microbatch`** (Delta file format only): Implements the [microbatch strategy](/docs/build/incremental-microbatch) using `replace_where` with predicates generated based `event_time`. + +Each of these strategies has its pros and cons, which we'll discuss below. As with any model config, `incremental_strategy` may be specified in `dbt_project.yml` or within a model file's `config()` block. + + + ### The `append` strategy Following the `append` strategy, dbt will perform an `insert into` statement with all new data. The appeal of this strategy is that it is straightforward and functional across all platforms, file types, connection methods, and Apache Spark versions. However, this strategy _cannot_ update, overwrite, or delete existing data, so it is likely to insert duplicate records for many data sources. @@ -306,7 +347,7 @@ The `merge` incremental strategy requires: - Databricks Runtime 5.1 and above for delta file format - Apache Spark for hudi file format -dbt will run an [atomic `merge` statement](https://docs.databricks.com/spark/latest/spark-sql/language-manual/merge-into.html) which looks nearly identical to the default merge behavior on Snowflake and BigQuery. If a `unique_key` is specified (recommended), dbt will update old records with values from new records that match on the key column. If a `unique_key` is not specified, dbt will forgo match criteria and simply insert all new records (similar to `append` strategy). +The Databricks adapter will run an [atomic `merge` statement](https://docs.databricks.com/spark/latest/spark-sql/language-manual/merge-into.html) similar to the default merge behavior on Snowflake and BigQuery. If a `unique_key` is specified (recommended), dbt will update old records with values from new records that match on the key column. If a `unique_key` is not specified, dbt will forgo match criteria and simply insert all new records (similar to `append` strategy). Specifying `merge` as the incremental strategy is optional since it's the default strategy used when none is specified. @@ -387,6 +428,123 @@ merge into analytics.merge_incremental as DBT_INTERNAL_DEST + + +Beginning with 1.9, `merge` behavior can be modified with the following additional configuration options: + +- `target_alias`, `source_alias`: Aliases for the target and source to allow you to describe your merge conditions more naturally. These default to `tgt` and `src`, respectively. +- `skip_matched_step`: If set to `true`, the 'matched' clause of the merge statement will not be included. +- `skip_not_matched_step`: If set to `true`, the 'not matched' clause will not be included. +- `matched_condition`: Condition to apply to the `WHEN MATCHED` clause. You should use the `target_alias` and `source_alias` to write a conditional expression, such as `tgt.col1 = hash(src.col2, src.col3)`. This condition further restricts the matched set of rows. +- `not_matched_condition`: Condition to apply to the `WHEN NOT MATCHED [BY TARGET]` clause. This condition further restricts the set of rows in the target that do not match the source that will be inserted into the merged table. +- `not_matched_by_source_condition`: Condition to apply to the further filter `WHEN NOT MATCHED BY SOURCE` clause. Only used in conjunction with `not_matched_by_source_action: delete`. +- `not_matched_by_source_action`: If set to `delete`, a `DELETE` clause is added to the merge statement for `WHEN NOT MATCHED BY SOURCE`. +- `merge_with_schema_evolution`: If set to `true`, the merge statement includes the `WITH SCHEMA EVOLUTION` clause. + +For more details on the meaning of each merge clause, please see [the Databricks documentation](https://docs.databricks.com/en/sql/language-manual/delta-merge-into.html). + +The following is an example demonstrating the use of these new options: + + + + + + +```sql +{{ config( + materialized = 'incremental', + unique_key = 'id', + incremental_strategy='merge', + target_alias='t', + source_alias='s', + matched_condition='t.tech_change_ts < s.tech_change_ts', + not_matched_condition='s.attr1 IS NOT NULL', + not_matched_by_source_condition='t.tech_change_ts < current_timestamp()', + not_matched_by_source_action='delete', + merge_with_schema_evolution=true +) }} + +select + id, + attr1, + attr2, + tech_change_ts +from + {{ ref('source_table') }} as s +``` + + + + + + + +```sql +create temporary view merge_incremental__dbt_tmp as + + select + id, + attr1, + attr2, + tech_change_ts + from upstream.source_table +; + +merge + with schema evolution +into + target_table as t +using ( + select + id, + attr1, + attr2, + tech_change_ts + from + source_table as s +) +on + t.id <=> s.id +when matched + and t.tech_change_ts < s.tech_change_ts + then update set + id = s.id, + attr1 = s.attr1, + attr2 = s.attr2, + tech_change_ts = s.tech_change_ts + +when not matched + and s.attr1 IS NOT NULL + then insert ( + id, + attr1, + attr2, + tech_change_ts + ) values ( + s.id, + s.attr1, + s.attr2, + s.tech_change_ts + ) + +when not matched by source + and t.tech_change_ts < current_timestamp() + then delete +``` + + + + + + + + ### The `replace_where` strategy The `replace_where` incremental strategy requires: @@ -476,6 +634,84 @@ insert into analytics.replace_where_incremental + + +### The `microbatch` strategy + +The Databricks adapter implements the `microbatch` strategy using `replace_where`. Note the requirements and caution statements for `replace_where` above. For more information about this strategy, see the [microbatch reference page](/docs/build/incremental-microbatch). + +In the following example, the upstream table `events` have been annotated with an `event_time` column called `ts` in its schema file. + + + + + + +```sql +{{ config( + materialized='incremental', + file_format='delta', + incremental_strategy = 'microbatch' + event_time='date' # Use 'date' as the grain for this microbatch table +) }} + +with new_events as ( + + select * from {{ ref('events') }} + +) + +select + user_id, + date, + count(*) as visits + +from events +group by 1, 2 +``` + + + + + + + +```sql +create temporary view replace_where__dbt_tmp as + + with new_events as ( + + select * from (select * from analytics.events where ts >= '2024-10-01' and ts < '2024-10-02') + + ) + + select + user_id, + date, + count(*) as visits + from events + group by 1, 2 +; + +insert into analytics.replace_where_incremental + replace where CAST(date as TIMESTAMP) >= '2024-10-01' and CAST(date as TIMESTAMP) < '2024-10-02' + table `replace_where__dbt_tmp` +``` + + + + + + + + + ## Selecting compute per model Beginning in version 1.7.2, you can assign which compute resource to use on a per-model basis. From 3487ee9691dc9507ba7cd945af94d421574824a7 Mon Sep 17 00:00:00 2001 From: Yasuhisa Yoshida Date: Wed, 30 Oct 2024 14:30:33 +0900 Subject: [PATCH 234/327] Fix markdown format --- website/docs/reference/resource-properties/deprecation_date.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/resource-properties/deprecation_date.md b/website/docs/reference/resource-properties/deprecation_date.md index 70f150dc465..501fdc30237 100644 --- a/website/docs/reference/resource-properties/deprecation_date.md +++ b/website/docs/reference/resource-properties/deprecation_date.md @@ -55,7 +55,7 @@ Additionally, [`WARN_ERROR_OPTIONS`](/reference/global-configs/warnings) gives a | `DeprecatedReference` | Referencing a model with a past deprecation date | Producer and consumers | | `UpcomingReferenceDeprecation` | Referencing a model with a future deprecation date | Producer and consumers | -** Example ** +**Example** Example output for an `UpcomingReferenceDeprecation` warning: ``` From 69eb0da774d21c2d6c86f6676b4626a3b853cc07 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Wed, 30 Oct 2024 10:42:19 +0000 Subject: [PATCH 235/327] Update snapshot-configs.md remove duplicate the --- website/docs/reference/snapshot-configs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/snapshot-configs.md b/website/docs/reference/snapshot-configs.md index e867747dc96..8543f4facab 100644 --- a/website/docs/reference/snapshot-configs.md +++ b/website/docs/reference/snapshot-configs.md @@ -236,7 +236,7 @@ snapshots: -Configurations can be applied to snapshots using [YAML syntax](/docs/build/snapshots), available in Versionless and dbt v1.9 and higher, in the the `snapshot` directory file. +Configurations can be applied to snapshots using [YAML syntax](/docs/build/snapshots), available in Versionless and dbt v1.9 and higher, in the `snapshot` directory file. From 8459a738c66a50435b35b589bf1baca27369b5bb Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Wed, 30 Oct 2024 17:18:20 +0000 Subject: [PATCH 236/327] oct MF release notes and jdbc (#6377) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit this pr adds the oct SL release notes as mentioned in [linear](https://linear.app/dbt-labs/view/release-note-and-docs-view-07352a33cd9c5), as well as adds metadata calls for the jdbc doc. --- 🚀 Deployment available! Here are the direct links to the updated files: - https://docs-getdbt-com-git-oct-sl-rn-dbt-labs.vercel.app/docs/dbt-cloud-apis/sl-jdbc - https://docs-getdbt-com-git-oct-sl-rn-dbt-labs.vercel.app/docs/dbt-versions/release-notes --------- Co-authored-by: nataliefiann <120089939+nataliefiann@users.noreply.github.com> --- website/docs/docs/dbt-cloud-apis/sl-jdbc.md | 67 ++++++++++++++----- .../docs/docs/dbt-versions/release-notes.md | 9 ++- 2 files changed, 59 insertions(+), 17 deletions(-) diff --git a/website/docs/docs/dbt-cloud-apis/sl-jdbc.md b/website/docs/docs/dbt-cloud-apis/sl-jdbc.md index 3a9832dd706..9178d1e6592 100644 --- a/website/docs/docs/dbt-cloud-apis/sl-jdbc.md +++ b/website/docs/docs/dbt-cloud-apis/sl-jdbc.md @@ -56,7 +56,7 @@ The Semantic Layer JDBC API has built-in metadata calls which can provide a user Expand the following toggles for examples and metadata commands: - + You can use this query to fetch all defined metrics in your dbt project: @@ -65,9 +65,9 @@ select * from {{ semantic_layer.metrics() }} ``` - + - + You can use this query to fetch all dimensions for a metric. @@ -77,9 +77,9 @@ Note, metrics is a required argument that lists one or multiple metrics in it. select * from {{ semantic_layer.dimensions(metrics=['food_order_amount'])}} ``` - + - + You can use this query to fetch dimension values for one or multiple metrics and a single dimension. @@ -89,9 +89,9 @@ Note, metrics is a required argument that lists one or multiple metrics, and a s select * from {{ semantic_layer.dimension_values(metrics=['food_order_amount'], group_by=['customer__customer_name'])}} ``` - + - + You can use this query to fetch queryable granularities for a list of metrics. @@ -103,9 +103,9 @@ select * from {{ semantic_layer.queryable_granularities(metrics=['food_order_amount', 'order_gross_profit'])}} ``` - + - + You can use this query to fetch available metrics given dimensions. This command is essentially the opposite of getting dimensions given a list of metrics. @@ -117,9 +117,9 @@ select * from {{ }} ``` - + - + You can use this example query to fetch available granularities for all time dimensions (the similar queryable granularities API call only returns granularities for the primary time dimensions for metrics). @@ -133,9 +133,9 @@ select NAME, QUERYABLE_GRANULARITIES from {{ }} ``` - + - + It may be useful in your application to expose the names of the time dimensions that represent metric_time or the common thread across all metrics. @@ -147,9 +147,44 @@ select * from {{ }} ``` - + + + + +You can filter your metrics to include only those that contain a specific substring (sequence of characters contained within a larger string (text)). Use the `search` argument to specify the substring you want to match. + +```sql +select * from {{ semantic_layer.metrics(search='order') }} +``` + +If no substring is provided, the query returns all metrics. - + + + + +In the case when you don't want to return the full result set from a metadata call, you can paginate the results for both `semantic_layer.metrics()` and `semantic_layer.dimensions()` calls using the `page_size` and `page_number` parameters. + +- `page_size`: This is an optional variable which sets the number of records per page. If left as None, there is no page limit. +- `page_number`: This is an optional variable which specifies the page number to retrieve. Defaults to `1` (first page) if not specified. + +Examples: + +```sql +-- Retrieves the 5th page with a page size of 10 metrics +select * from {{ semantic_layer.metrics(page_size=10, page_number=5) }} + +-- Retrieves the 1st page with a page size of 10 metrics +select * from {{ semantic_layer.metrics(page_size=10) }} + +-- Retrieves all metrics without pagination +select * from {{ semantic_layer.metrics() }} +``` + +You can use the same pagination parameters for `semantic_layer.dimensions(...)`. + + + You can use this example query to list all available saved queries in your dbt project. @@ -165,7 +200,7 @@ select * from semantic_layer.saved_queries() | NAME | DESCRIPTION | LABEL | METRICS | GROUP_BY | WHERE_FILTER | ``` - + --- 🚀 Deployment available! Here are the direct links to the updated files: - https://docs-getdbt-com-git-mfa-dbt-labs.vercel.app/docs/cloud/manage-access/mfa - https://docs-getdbt-com-git-mfa-dbt-labs.vercel.app/docs/dbt-versions/release-notes --- website/docs/docs/cloud/manage-access/mfa.md | 7 +++++++ website/docs/docs/dbt-versions/release-notes.md | 3 ++- 2 files changed, 9 insertions(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/manage-access/mfa.md b/website/docs/docs/cloud/manage-access/mfa.md index a06251e6468..bcddc04f072 100644 --- a/website/docs/docs/cloud/manage-access/mfa.md +++ b/website/docs/docs/cloud/manage-access/mfa.md @@ -7,6 +7,13 @@ sidebar: null # Multi-factor authentication +:::important + + +dbt Cloud enforces multi-factor authentication (MFA) for all users with username and password credentials. If MFA is not set up, you will see a notification bar prompting you to configure one of the supported methods when you log in. If you do not, you will have to configure MFA upon subsequent logins, or you will be unable to access dbt Cloud. + +::: + dbt Cloud provides multiple options for multi-factor authentication (MFA). MFA provides an additional layer of security to username and password logins for Developer and Team plan accounts. The available MFA methods are: - SMS verification code (US-based phone numbers only) diff --git a/website/docs/docs/dbt-versions/release-notes.md b/website/docs/docs/dbt-versions/release-notes.md index 5b7eab16cea..ae6ed5f01a4 100644 --- a/website/docs/docs/dbt-versions/release-notes.md +++ b/website/docs/docs/dbt-versions/release-notes.md @@ -19,7 +19,8 @@ Release notes are grouped by month for both multi-tenant and virtual private clo \* The official release date for this new format of release notes is May 15th, 2024. Historical release notes for prior dates may not reflect all available features released earlier this year or their tenancy availability. ## October 2024 - + +- **Behavior change:** [Multi-factor authentication](/docs/cloud/manage-access/mfa) is now enforced on all users who log in with username and password credentials. - **Enhancement**: The dbt Semantic Layer JDBC now allows users to paginate `semantic_layer.metrics()` and `semantic_layer.dimensions()` for metrics and dimensions using `page_size` and `page_number` parameters. Refer to [Paginate metadata calls](/docs/dbt-cloud-apis/sl-jdbc#querying-the-api-for-metric-metadata) for more information. - **Enhancement**: The dbt Semantic Layer JDBC now allows you to filter your metrics to include only those that contain a specific substring, using the `search` parameter. If no substring is provided, the query returns all metrics. Refer to [Fetch metrics by substring search](/docs/dbt-cloud-apis/sl-jdbc#querying-the-api-for-metric-metadata) for more information. - **Fix**: The [dbt Semantic Layer Excel integration](/docs/cloud-integrations/semantic-layer/excel) now correctly surfaces errors when a query fails to execute. Previously, it was not clear why a query failed to run. From c1a4d76cf75d77020dfeff98698627af9656d452 Mon Sep 17 00:00:00 2001 From: Ben Cassell <98852248+benc-db@users.noreply.github.com> Date: Wed, 30 Oct 2024 16:44:47 -0700 Subject: [PATCH 238/327] Update databricks-configs.md Making the alias defaults match existing aliases so as not to break existing user macro overrides --- website/docs/reference/resource-configs/databricks-configs.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/docs/reference/resource-configs/databricks-configs.md b/website/docs/reference/resource-configs/databricks-configs.md index 138d9a746bd..f807b1c0d88 100644 --- a/website/docs/reference/resource-configs/databricks-configs.md +++ b/website/docs/reference/resource-configs/databricks-configs.md @@ -432,10 +432,10 @@ merge into analytics.merge_incremental as DBT_INTERNAL_DEST Beginning with 1.9, `merge` behavior can be modified with the following additional configuration options: -- `target_alias`, `source_alias`: Aliases for the target and source to allow you to describe your merge conditions more naturally. These default to `tgt` and `src`, respectively. +- `target_alias`, `source_alias`: Aliases for the target and source to allow you to describe your merge conditions more naturally. These default to `DBT_INTERNAL_DEST` and `DBT_INTERNAL_SOURCE`, respectively. - `skip_matched_step`: If set to `true`, the 'matched' clause of the merge statement will not be included. - `skip_not_matched_step`: If set to `true`, the 'not matched' clause will not be included. -- `matched_condition`: Condition to apply to the `WHEN MATCHED` clause. You should use the `target_alias` and `source_alias` to write a conditional expression, such as `tgt.col1 = hash(src.col2, src.col3)`. This condition further restricts the matched set of rows. +- `matched_condition`: Condition to apply to the `WHEN MATCHED` clause. You should use the `target_alias` and `source_alias` to write a conditional expression, such as `DBT_INTERNAL_DEST.col1 = hash(DBT_INTERNAL_SOURCE.col2, DBT_INTERNAL_SOURCE.col3)`. This condition further restricts the matched set of rows. - `not_matched_condition`: Condition to apply to the `WHEN NOT MATCHED [BY TARGET]` clause. This condition further restricts the set of rows in the target that do not match the source that will be inserted into the merged table. - `not_matched_by_source_condition`: Condition to apply to the further filter `WHEN NOT MATCHED BY SOURCE` clause. Only used in conjunction with `not_matched_by_source_action: delete`. - `not_matched_by_source_action`: If set to `delete`, a `DELETE` clause is added to the merge statement for `WHEN NOT MATCHED BY SOURCE`. From 7004dc59a0dab924c44c8699ae47c20f843f766d Mon Sep 17 00:00:00 2001 From: Aeriel Soriano <27873562+aerielsoriano@users.noreply.github.com> Date: Wed, 30 Oct 2024 23:53:05 +0000 Subject: [PATCH 239/327] Update transfer-account.md (#6388) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Hi Team! Could you take a look at the additional sentence? For developer plans, they can only do this step if the new account owner never signed up for a dbt cloud account. ## What are you changing in this pull request and why? ## Checklist - [ ] I have reviewed the [Content style guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md) so my content adheres to these guidelines. - [ ] The topic I'm writing about is for specific dbt version(s) and I have versioned it according to the [version a whole page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version) and/or [version a block of content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content) guidelines. - [ ] I have added checklist item(s) to this list for anything anything that needs to happen before this PR is merged, such as "needs technical review" or "change base branch." - [ ] The content in this PR requires a dbt release note, so I added one to the [release notes page](https://docs.getdbt.com/docs/dbt-versions/dbt-cloud-release-notes). --- 🚀 Deployment available! Here are the direct links to the updated files: - https://docs-getdbt-com-git-transfer-of-ownership-dev-steps-dbt-labs.vercel.app/faqs/Accounts/transfer-account --------- Co-authored-by: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> --- website/docs/faqs/Accounts/transfer-account.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/faqs/Accounts/transfer-account.md b/website/docs/faqs/Accounts/transfer-account.md index 693061c55c6..e694636cf68 100644 --- a/website/docs/faqs/Accounts/transfer-account.md +++ b/website/docs/faqs/Accounts/transfer-account.md @@ -10,7 +10,7 @@ You can transfer your dbt Cloud [access control](/docs/cloud/manage-access/about | Account plan| Steps | | ------ | ---------- | -| **Developer** | You can transfer ownership by changing the email directly on your dbt Cloud profile page, which you can access using this URL when you replace `YOUR_ACCESS_URL` with the [appropriate Access URL](/docs/cloud/about-cloud/access-regions-ip-addresses) for your region and plan: `https://YOUR_ACCESS_URL/settings/profile`. Before doing this, please ensure that you unlink your GitHub profile. | +| **Developer** | You can transfer ownership by changing the email directly on your dbt Cloud profile page, which you can access using this URL when you replace `YOUR_ACCESS_URL` with the [appropriate Access URL](/docs/cloud/about-cloud/access-regions-ip-addresses) for your region and plan: `https://YOUR_ACCESS_URL/settings/profile`. Before doing this, please ensure that you unlink your GitHub profile. The email address of the new account owner cannot be associated with another dbt Cloud account.| | **Team** | Existing account admins with account access can add users to, or remove users from the owner group. | | **Enterprise** | Account admins can add users to, or remove users from a group with Account Admin permissions. | | **If all account owners left the company** | If the account owner has left your organization, you will need to work with _your_ IT department to have incoming emails forwarded to the new account owner. Once your IT department has redirected the emails, you can request to reset the user password. Once you log in, you can change the email on the Profile page when you replace `YOUR_ACCESS_URL` with the [appropriate Access URL](/docs/cloud/about-cloud/access-regions-ip-addresses) for your region and plan: `https://YOUR_ACCESS_URL/settings/profile`. | From d5e48f112f54fc221a816047d9942d891e234dc5 Mon Sep 17 00:00:00 2001 From: Ben Cassell <98852248+benc-db@users.noreply.github.com> Date: Wed, 30 Oct 2024 19:27:36 -0700 Subject: [PATCH 240/327] Patch 10 (#6368) ## What are you changing in this pull request and why? Adding documentation for Databricks Behavior Flags ## Checklist - [x] I have reviewed the [Content style guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md) so my content adheres to these guidelines. - [x] The topic I'm writing about is for specific dbt version(s) and I have versioned it according to the [version a whole page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version) and/or [version a block of content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content) guidelines. - [x] I have added checklist item(s) to this list for anything anything that needs to happen before this PR is merged, such as "needs technical review" or "change base branch." - [x] The content in this PR requires a dbt release note, so I added one to the [release notes page](https://docs.getdbt.com/docs/dbt-versions/dbt-cloud-release-notes). ADDING OR REMOVING PAGES (if so, uncomment): - [x] Add/remove page in `website/sidebars.js` - [x] Provide a unique filename for new pages --------- Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com> Co-authored-by: Amy Chen <46451573+amychen1776@users.noreply.github.com> Co-authored-by: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> --- .../adapter-behavior-changes.md | 9 ++++++- .../global-configs/databricks-changes.md | 26 +++++++++++++++++++ website/sidebars.js | 1 + 3 files changed, 35 insertions(+), 1 deletion(-) create mode 100644 website/docs/reference/global-configs/databricks-changes.md diff --git a/website/docs/reference/global-configs/adapter-behavior-changes.md b/website/docs/reference/global-configs/adapter-behavior-changes.md index bd0ba9f7404..a755f8cfe50 100644 --- a/website/docs/reference/global-configs/adapter-behavior-changes.md +++ b/website/docs/reference/global-configs/adapter-behavior-changes.md @@ -14,10 +14,17 @@ Some adapters can display behavior changes when certain flags are enabled. The f

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04b9163ecd83c3f7fd9516943ba2a00f02288cb9 Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Tue, 22 Oct 2024 09:15:51 +0100 Subject: [PATCH 059/327] add img --- website/docs/docs/collaborate/data-tile.md | 12 ++++++++---- .../collaborate/dbt-explorer/sigma-example.jpg | Bin 0 -> 740000 bytes 2 files changed, 8 insertions(+), 4 deletions(-) create mode 100644 website/static/img/docs/collaborate/dbt-explorer/sigma-example.jpg diff --git a/website/docs/docs/collaborate/data-tile.md b/website/docs/docs/collaborate/data-tile.md index eb3de91bf67..1d5b26e26b7 100644 --- a/website/docs/docs/collaborate/data-tile.md +++ b/website/docs/docs/collaborate/data-tile.md @@ -120,8 +120,10 @@ Follow these steps to embed the data health tile in Tableau: 3. Insert a **Web Page** object. 4. Insert the URL and click **Ok**. - `https://metadata.ACCESS_URL/exposure-tile?uniqueId=exposure.EXPOSURE_NAME&environmentType=production&environmentId=220370&token=` - + ```html + https://metadata.ACCESS_URL/exposure-tile?uniqueId=exposure.EXPOSURE_NAME&environmentType=production&environmentId=220370&token= + ``` + *Note, replace the placeholders with your actual values.* 5. You should now see the data health tile embedded in your Tableau dashboard. @@ -131,13 +133,15 @@ Follow these steps to embed the data health tile in Tableau: Follow these steps to embed the data health tile in Sigma: - + 1. Create a dashboard in Sigma and connect to your database to pull in the data. 2. Ensure you've copied the URL or iFrame snippet available in dbt Explorer's **Data health** section, under the **Embed data health into your dashboard** toggle. 3. 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    diff --git a/website/docs/reference/global-configs/databricks-changes.md b/website/docs/reference/global-configs/databricks-changes.md new file mode 100644 index 00000000000..ca24b822ae5 --- /dev/null +++ b/website/docs/reference/global-configs/databricks-changes.md @@ -0,0 +1,26 @@ +--- +title: "Databricks adapter behavior changes" +id: "databricks-changes" +sidebar: "Databricks" +--- + +The following are the current [behavior change flags](/docs/reference/global-configs/behavior-changes.md#behavior-change-flags) that are specific to `dbt-databricks`: + +| Flag | `dbt-databricks`: Intro | `dbt-databricks`: Maturity | +| ----------------------------- | ----------------------- | -------------------------- | +| `use_info_schema_for_columns` | 1.9.0 | TBD | +| `use_user_folder_for_python` | 1.9.0 | TBD | + +### Use information schema for columns + +The `use_info_schema_for_columns` flag is `False` by default. + +Setting this flag to `True` will use `information_schema` rather than `describe extended` to get column metadata for Unity Catalog tables. This setting helps you avoid issues where `describe extended` truncates information when the type is a complex struct. However, this setting is not yet the default behavior, as there are performance impacts due to a Databricks metadata limitation because of the need to run `REPAIR TABLE {{relation}} SYNC METADATA` before querying to ensure the `information_schema` is complete. + +This flag will become the default behavior when this additional query is no longer needed. + +### Use user's folder for Python model notebooks + +The `use_user_folder_for_python` flag is `False` by default and results in writing uploaded python model notebooks to `/Shared/dbt_python_models/{{schema}}/`. Setting this flag to `True` will write notebooks to `/Users/{{current user}}/{{catalog}}/{{schema}}/` Writing to the `Shared` folder is deprecated by Databricks as it does not align with governance best practices. + +We plan to promote this flag to maturity in v1.10.0. diff --git a/website/sidebars.js b/website/sidebars.js index c8a711815a8..114c40cb09f 100644 --- a/website/sidebars.js +++ b/website/sidebars.js @@ -1104,6 +1104,7 @@ const sidebarSettings = { link: { type: "doc", id: "reference/global-configs/adapter-behavior-changes" }, items: [ "reference/global-configs/adapter-behavior-changes", + "reference/global-configs/databricks-changes", "reference/global-configs/redshift-changes", ], }, From c69f15fea4d205c15a4dfdd777c6b534c6a5c3a5 Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Thu, 31 Oct 2024 13:46:37 +0000 Subject: [PATCH 241/327] Updated model timing image (#6390) I've created this PR to update the model timing image to match the new UI ## What are you changing in this pull request and why? ## Checklist - [X] I have reviewed the [Content style guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md) so my content adheres to these guidelines. - [ ] The topic I'm writing about is for specific dbt version(s) and I have versioned it according to the [version a whole page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version) and/or [version a block of content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content) guidelines. - [ ] I have added checklist item(s) to this list for anything anything that needs to happen before this PR is merged, such as "needs technical review" or "change base branch." - [ ] The content in this PR requires a dbt release note, so I added one to the [release notes 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z%|pQM*C-YX2>x*|%SlSWN=}{O`=~6lq@=f5b*<-Yp8fW)uJD{p2(|NVr3InpfIQi- z6guRDi)w2pn|FKeNl~X0_AU~Q37z)dH{VcDR{n$!FVd`Xm}v~zdnuJw0Hlj+p#sQR zQ4+A_4MhQFnr|8Sp-3L%MB2V}vote{i{&SK@tJ4W$E&DefGFAx4#B$Sun5!h&ulUc z48_^fcCxiCsp&@akWk4c@mZs^^W&^6_EP@l@1{6rj7DQfX-&;I$ Date: Thu, 31 Oct 2024 14:16:56 +0000 Subject: [PATCH 242/327] Updated images on docs for authenticate azure and abbout connections --- .../about-connections.md | 10 +++++++--- .../docs/docs/cloud/git/authenticate-azure.md | 6 +++--- .../choose-a-connection.png | Bin 0 -> 151618 bytes .../connect-data-platform/connection-list.png | Bin 0 -> 205741 bytes .../connecting-azure-devops/LinktoAzure.png | Bin 174143 -> 350842 bytes 5 files changed, 10 insertions(+), 6 deletions(-) create mode 100644 website/static/img/docs/connect-data-platform/choose-a-connection.png create mode 100644 website/static/img/docs/connect-data-platform/connection-list.png diff --git a/website/docs/docs/cloud/connect-data-platform/about-connections.md b/website/docs/docs/cloud/connect-data-platform/about-connections.md index 6f2f140b724..f83764cb80a 100644 --- a/website/docs/docs/cloud/connect-data-platform/about-connections.md +++ b/website/docs/docs/cloud/connect-data-platform/about-connections.md @@ -20,9 +20,13 @@ dbt Cloud can connect with a variety of data platform providers including: - [Starburst or Trino](/docs/cloud/connect-data-platform/connect-starburst-trino) - [Teradata](/docs/cloud/connect-data-platform/connect-teradata) -You can connect to your database in dbt Cloud by clicking the gear in the top right and selecting **Account Settings**. From the Account Settings page, click **+ New Project**. +You can connect to your database in dbt Cloud by: - +1. Click your name at the bottom left of your account +2. Select **Your profile** from the menu +3. Select **Projects** from the top left, and from there click **+ New Project** + + These connection instructions provide the basic fields required for configuring a data platform connection in dbt Cloud. For more detailed guides, which include demo project data, read our [Quickstart guides](https://docs.getdbt.com/guides) @@ -41,7 +45,7 @@ Connections created with APIs before this change cannot be accessed with the [la Warehouse connections are an account-level resource. As such you can find them under **Accounts Settings** > **Connections**: - + Warehouse connections can be re-used across projects. If multiple projects all connect to the same warehouse, you should re-use the same connection to streamline your management operations. Connections are assigned to a project via an [environment](/docs/dbt-cloud-environments). diff --git a/website/docs/docs/cloud/git/authenticate-azure.md b/website/docs/docs/cloud/git/authenticate-azure.md index 42028bf993b..d8423d716e6 100644 --- a/website/docs/docs/cloud/git/authenticate-azure.md +++ b/website/docs/docs/cloud/git/authenticate-azure.md @@ -13,9 +13,9 @@ If you use the dbt Cloud IDE or dbt Cloud CLI to collaborate on your team's Azur Connect your dbt Cloud profile to Azure DevOps using OAuth: -1. Click the gear icon at the top right and select **Profile settings**. -2. Click **Linked Accounts**. -3. Next to Azure DevOps, click **Link**. +1. Click your name at the bottom left of your account. +2. Select **Your profile** from the menu. +3. Go to the Linked accounts section in the middle of the page. 4. 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zk)!$$pWO|nMi@{&-0UB_uw}==TUKclxuH;@AJOV5Ovw*irTWD>6|!e)8VTV;I<5>m zhH!M7@P9_$dqiW7RLfA|t)_RRDCQ|I2ier^n$s&)x_4h&3>GWx1|H;$<2};MnzhQ7 zyn*r3rY4rd39ttyAZvo3OD`mi80Vh^jOc$73cFuovgh4)XlnO3NxQLR#7(eN=g)jg z5LF;&>qa-A!zCWz(!M$N-qAI04xOmr2dVrb%+_Tclax@#cO-;TyO-`X03-z1oid^#;g*HnDA58& z05(E4=28}2)e3lFC0?lGefm0%xUF+qolcN6tosMYz zl#m0m0Gz7eZ>q1Zo!h;XvZqAUP{cm0l3>4cc6a_zLsm$zMJ zo!mlt+)}h4eG+>+^OVAgf&J|z^A*BTtv6Eg68s12^-JczF7%0I zhl(Qz>dN*eLqVujqL>VOnlI=V(cXW>(3dl6dGRYJL^>5p6aNvL0euD$Q^ZmB{ m1_%C^?Ke2^JKt~HC^P|Wt`hCiTlqik5g;NhTrQ~N`~Lu+S+s%x From ea104ae1c2c9d7e6eba44b2e1bc74d50dd566ec8 Mon Sep 17 00:00:00 2001 From: john-rock Date: Thu, 31 Oct 2024 10:23:19 -0400 Subject: [PATCH 243/327] update link --- website/docusaurus.config.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docusaurus.config.js b/website/docusaurus.config.js index b68e2e8ec5c..9fe63267d61 100644 --- a/website/docusaurus.config.js +++ b/website/docusaurus.config.js @@ -209,7 +209,7 @@ var siteSettings = { >

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