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matthewshaver authored Dec 5, 2023
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2 changes: 1 addition & 1 deletion website/docs/docs/build/semantic-models.md
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Expand Up @@ -43,7 +43,7 @@ semantic_models:
- name: the_name_of_the_semantic_model ## Required
description: same as always ## Optional
model: ref('some_model') ## Required
default: ## Required
defaults: ## Required
agg_time_dimension: dimension_name ## Required if the model contains dimensions
entities: ## Required
- see more information in entities
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1 change: 1 addition & 0 deletions website/docs/docs/cloud/secure/about-privatelink.md
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Expand Up @@ -23,3 +23,4 @@ dbt Cloud supports the following data platforms for use with the PrivateLink fea
- [Databricks](/docs/cloud/secure/databricks-privatelink)
- [Redshift](/docs/cloud/secure/redshift-privatelink)
- [Postgres](/docs/cloud/secure/postgres-privatelink)
- [VCS](/docs/cloud/secure/vcs-privatelink)
6 changes: 4 additions & 2 deletions website/docs/docs/collaborate/explore-projects.md
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Expand Up @@ -2,7 +2,7 @@
title: "Explore your dbt projects"
sidebar_label: "Explore dbt projects"
description: "Learn about dbt Explorer and how to interact with it to understand, improve, and leverage your data pipelines."
pagination_next: "docs/collaborate/explore-multiple-projects"
pagination_next: "docs/collaborate/model-performance"
pagination_prev: null
---

Expand Down Expand Up @@ -36,7 +36,7 @@ For a richer experience with dbt Explorer, you must:
- Run [dbt source freshness](/reference/commands/source#dbt-source-freshness) within a job in the environment to view source freshness data.
- Run [dbt snapshot](/reference/commands/snapshot) or [dbt build](/reference/commands/build) within a job in the environment to view snapshot details.

Richer and more timely metadata will become available as dbt, the Discovery API, and the underlying dbt Cloud platform evolves.
Richer and more timely metadata will become available as dbt Core, the Discovery API, and the underlying dbt Cloud platform evolves.

## Explore your project's lineage graph {#project-lineage}

Expand All @@ -46,6 +46,8 @@ If you don't see the project lineage graph immediately, click **Render Lineage**

The nodes in the lineage graph represent the project’s resources and the edges represent the relationships between the nodes. Nodes are color-coded and include iconography according to their resource type.

By default, dbt Explorer shows the project's [applied state](/docs/dbt-cloud-apis/project-state#definition-logical-vs-applied-state-of-dbt-nodes) lineage. That is, it shows models that have been successfully built and are available to query, not just the models defined in the project.

To explore the lineage graphs of tests and macros, view [their resource details pages](#view-resource-details). By default, dbt Explorer excludes these resources from the full lineage graph unless a search query returns them as results.

To interact with the full lineage graph, you can:
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41 changes: 41 additions & 0 deletions website/docs/docs/collaborate/model-performance.md
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---
title: "Model performance"
sidebar_label: "Model performance"
description: "Learn about ."
---

dbt Explorer provides metadata on dbt Cloud runs for in-depth model performance and quality analysis. This feature assists in reducing infrastructure costs and saving time for data teams by highlighting where to fine-tune projects and deployments — such as model refactoring or job configuration adjustments.

<LoomVideo id='98f33b3b7a374df0b7c04747eae6ef44' />

:::tip Beta

The model performance beta feature is now available in dbt Explorer! Check it out!
:::

## The Performance overview page

You can pinpoint areas for performance enhancement by using the Performance overview page. This page presents a comprehensive analysis across all project models and displays the longest-running models, those most frequently executed, and the ones with the highest failure rates during runs/tests. Data can be segmented by environment and job type which can offer insights into:

- Most executed models (total count).
- Models with the longest execution time (average duration).
- Models with the most failures, detailing run failures (percentage and count) and test failures (percentage and count).

Each data point links to individual models in Explorer.

<Lightbox src="/img/docs/collaborate/dbt-explorer/example-performance-overview-page.png" width="80%" title="Example of Performance overview page"/>

You can view historical metadata for up to the past three months. Select the time horizon using the filter, which defaults to a two-week lookback.

<Lightbox src="/img/docs/collaborate/dbt-explorer/ex-2-week-default.png" title="Example of dropdown"/>

## The Model performance tab

You can view trends in execution times, counts, and failures by using the Model performance tab for historical performance analysis. Daily execution data includes:

- Average model execution time.
- Model execution counts, including failures/errors (total sum).

Clicking on a data point reveals a table listing all job runs for that day, with each row providing a direct link to the details of a specific run.

<Lightbox src="/img/docs/collaborate/dbt-explorer/example-model-performance-tab.png" title="Example of the Model performance tab"/>
50 changes: 50 additions & 0 deletions website/docs/docs/collaborate/project-recommendations.md
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---
title: "Project recommendations"
sidebar_label: "Project recommendations"
description: "dbt Explorer provides recommendations that you can take to improve the quality of your dbt project."
---

:::tip Beta

The project recommendations beta feature is now available in dbt Explorer! Check it out!

:::

dbt Explorer provides recommendations about your project from the `dbt_project_evaluator` [package](https://hub.getdbt.com/dbt-labs/dbt_project_evaluator/latest/) using metadata from the Discovery API.

Explorer also offers a global view, showing all the recommendations across the project for easy sorting and summarizing.

These recommendations provide insight into how you can build a more well documented, well tested, and well built project, leading to less confusion and more trust.

The Recommendations overview page includes two top-level metrics measuring the test and documentation coverage of the models in your project.

- **Model test coverage** &mdash; The percent of models in your project (models not from a package or imported via dbt Mesh) with at least one dbt test configured on them.
- **Model documentation coverage** &mdash; The percent of models in your project (models not from a package or imported via dbt Mesh) with a description.

<Lightbox src="/img/docs/collaborate/dbt-explorer/example-recommendations-overview.png" width="80%" title="Example of the Recommendations overview page with project metrics and the recommendations for all resources in the project"/>

## List of rules

| Category | Name | Description | Package Docs Link |
| --- | --- | --- | --- |
| Modeling | Direct Join to Source | Model that joins both a model and source, indicating a missing staging model | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/modeling/#direct-join-to-source) |
| Modeling | Duplicate Sources | More than one source node corresponds to the same data warehouse relation | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/modeling/#duplicate-sources) |
| Modeling | Multiple Sources Joined | Models with more than one source parent, indicating lack of staging models | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/modeling/#multiple-sources-joined) |
| Modeling | Root Model | Models with no parents, indicating potential hardcoded references and need for sources | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/modeling/#root-models) |
| Modeling | Source Fanout | Sources with more than one model child, indicating a need for staging models | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/modeling/#source-fanout) |
| Modeling | Unused Source | Sources that are not referenced by any resource | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/modeling/#unused-sources) |
| Performance | Exposure Dependent on View | Exposures with at least one model parent materialized as a view, indicating potential query performance issues | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/performance/#exposure-parents-materializations) |
| Testing | Missing Primary Key Test | Models with insufficient testing on the grain of the model. | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/testing/#missing-primary-key-tests) |
| Documentation | Undocumented Models | Models without a model-level description | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/documentation/#undocumented-models) |
| Documentation | Undocumented Source | Sources (collections of source tables) without descriptions | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/documentation/#undocumented-sources) |
| Documentation | Undocumented Source Tables | Source tables without descriptions | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/documentation/#undocumented-source-tables) |
| Governance | Public Model Missing Contract | Models with public access that do not have a model contract to ensure the data types | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/governance/#public-models-without-contracts) |


## The Recommendations tab

Models, sources and exposures each also have a Recommendations tab on their resource details page, with the specific recommendations that correspond to that resource:

<Lightbox src="/img/docs/collaborate/dbt-explorer/example-recommendations-tab.png" width="80%" title="Example of the Recommendations tab "/>


2 changes: 2 additions & 0 deletions website/sidebars.js
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Expand Up @@ -424,6 +424,8 @@ const sidebarSettings = {
link: { type: "doc", id: "docs/collaborate/explore-projects" },
items: [
"docs/collaborate/explore-projects",
"docs/collaborate/model-performance",
"docs/collaborate/project-recommendations",
"docs/collaborate/explore-multiple-projects",
],
},
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2 changes: 1 addition & 1 deletion website/snippets/_cloud-environments-info.md
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Expand Up @@ -62,7 +62,7 @@ By default, all environments will use the default branch in your repository (usu
For more info, check out this [FAQ page on this topic](/faqs/Environments/custom-branch-settings)!


### Extended attributes <Lifecycle status='beta'/>
### Extended attributes

:::note
Extended attributes are retrieved and applied only at runtime when `profiles.yml` is requested for a specific Cloud run. Extended attributes are currently _not_ taken into consideration for Cloud-specific features such as PrivateLink or SSH Tunneling that do not rely on `profiles.yml` values.
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