From c71a91accc780ed4e82f316669337ae5b65ef10f Mon Sep 17 00:00:00 2001 From: Ratandeep Sharma Date: Tue, 27 Aug 2024 21:36:25 +0530 Subject: [PATCH 001/113] 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 002/113] 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 4f40e3805ca5c6debc46102a336fa27aeec50597 Mon Sep 17 00:00:00 2001 From: Varun Sharma Date: Mon, 7 Oct 2024 11:23:17 +0530 Subject: [PATCH 003/113] teradata setup changes for dbt-cloud and python support --- .../connect-data-platform/teradata-setup.md | 33 ++++++++++--------- 1 file changed, 18 insertions(+), 15 deletions(-) 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..ac85fec3fd1 100644 --- a/website/docs/docs/core/connect-data-platform/teradata-setup.md +++ b/website/docs/docs/core/connect-data-platform/teradata-setup.md @@ -8,7 +8,7 @@ meta: github_repo: 'Teradata/dbt-teradata' pypi_package: 'dbt-teradata' min_core_version: 'v0.21.0' - cloud_support: Not Supported + cloud_support: Supported min_supported_version: 'n/a' slack_channel_name: '#db-teradata' slack_channel_link: 'https://getdbt.slack.com/archives/C027B6BHMT3' @@ -18,6 +18,7 @@ meta: Some core functionality may be limited. If you're interested in contributing, check out the source code in the repository listed in the next section. + import SetUpPages from '/snippets/_setup-pages-intro.md'; @@ -26,20 +27,20 @@ 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 3.6 | Python 3.7 | Python 3.8 | Python 3.9 | Python 3.10 | Python 3.11 | Python 3.12 | +| -------------- | ----------- | ----------- | ----------- | ----------- | ----------- | ------------ | ------------ | +| 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 | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ ## dbt dependent packages version compatibility @@ -49,6 +50,8 @@ import SetUpPages from '/snippets/_setup-pages-intro.md'; | 1.6.7 | 1.6.7 | 1.1.1 | 1.1.1 | | 1.7.x | 1.7.x | 1.1.1 | 1.1.1 | | 1.8.x | 1.8.x | 1.1.1 | 1.1.1 | +| 1.8.x | 1.8.x | 1.2.0 | 1.2.0 | +| 1.8.x | 1.8.x | 1.3.0 | 1.3.0 | ### Connecting to Teradata From cb847e81a94dfdc2c9ab33c72c3fefdaf748976a Mon Sep 17 00:00:00 2001 From: Adam Tworkiewicz Date: Fri, 25 Oct 2024 13:01:43 -0500 Subject: [PATCH 004/113] 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 - +## 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 450ab5acc8c8e03f33e615eada8cfe380bf00e0d Mon Sep 17 00:00:00 2001 From: Emily Rockman Date: Mon, 28 Oct 2024 10:31:57 -0500 Subject: [PATCH 005/113] 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 2cedcabac66411c1545817a0763093a3db95aac7 Mon Sep 17 00:00:00 2001 From: Emily Rockman Date: Mon, 28 Oct 2024 11:04:44 -0500 Subject: [PATCH 006/113] 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 5ef5256ca74c469ce92eb593604e58c1fcbaabfe Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Tue, 29 Oct 2024 10:43:17 +0000 Subject: [PATCH 007/113] 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 009/113] 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 010/113] 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 011/113] 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 012/113] 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 013/113] 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 014/113] 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 015/113] 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 016/113] 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 017/113] 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 018/113] 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 020/113] 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 021/113] 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 022/113] 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

+ + + -
\ No newline at end of file + 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 023/113] Updated model timing image (#6390) I've created this PR to update the model timing image to 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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 024/113] 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 025/113] 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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