From d1cf3e349f06c4dbcc61a7077673c0fba426e659 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 16 Jul 2024 18:51:09 +0100 Subject: [PATCH 1/2] add test metrics in ci capability (#5774) this PR adds the new feature/functionality of testing metrics in a ci job and how to enable this. [docs project](https://www.notion.so/dbtlabs/Metrics-in-CI-c88adcf7e5d5478b89b6700484be856a) [prd](https://www.notion.so/dbtlabs/Adding-metrics-to-CI-querying-metrics-in-the-IDE-1e48b9cfabd2401797eaa71cd72bf2e4?pvs=4) [ ] Needs PM review @JStein77 --- .../semantic-layer-9-conclusion.md | 1 + website/docs/docs/build/saved-queries.md | 2 +- .../docs/docs/dbt-versions/release-notes.md | 3 + website/docs/docs/deploy/ci-jobs.md | 87 +++++++++++++++++- .../docs/deploy/continuous-integration.md | 4 +- .../docs/docs/deploy/deploy-environments.md | 4 +- website/docs/docs/deploy/job-commands.md | 6 +- .../docs/use-dbt-semantic-layer/exports.md | 1 + .../docs/use-dbt-semantic-layer/setup-sl.md | 8 +- .../docs/use-dbt-semantic-layer/sl-cache.md | 2 + .../docs/use-dbt-semantic-layer/sl-faqs.md | 9 ++ website/docs/guides/set-up-ci.md | 6 +- .../deployment/ci-dbt-sl-validate-all.jpg | Bin 0 -> 82907 bytes .../ci-dbt-sl-validate-downstream.jpg | Bin 0 -> 92641 bytes .../ci-dbt-sl-validate-modified.jpg | Bin 0 -> 85517 bytes .../deployment/ci-dbt-sl-validate-select.jpg | Bin 0 -> 86004 bytes 16 files changed, 122 insertions(+), 11 deletions(-) create mode 100644 website/static/img/docs/dbt-cloud/deployment/ci-dbt-sl-validate-all.jpg create mode 100644 website/static/img/docs/dbt-cloud/deployment/ci-dbt-sl-validate-downstream.jpg create mode 100644 website/static/img/docs/dbt-cloud/deployment/ci-dbt-sl-validate-modified.jpg create mode 100644 website/static/img/docs/dbt-cloud/deployment/ci-dbt-sl-validate-select.jpg diff --git a/website/docs/best-practices/how-we-build-our-metrics/semantic-layer-9-conclusion.md b/website/docs/best-practices/how-we-build-our-metrics/semantic-layer-9-conclusion.md index fa7e2abfaf2..b5490332cd7 100644 --- a/website/docs/best-practices/how-we-build-our-metrics/semantic-layer-9-conclusion.md +++ b/website/docs/best-practices/how-we-build-our-metrics/semantic-layer-9-conclusion.md @@ -28,6 +28,7 @@ pagination_next: null - 🗺️ Use these best practices to map out your team's plan to **incrementally adopt the Semantic Layer**. - 🤗 Get involved in the community and ask questions, **help craft best practices**, and share your progress in building a dbt Semantic Layer. +- [Validate semantic nodes in CI](/docs/deploy/ci-jobs#semantic-validations-in-ci) to ensure code changes made to dbt models don't break these metrics. The dbt Semantic Layer is the biggest paradigm shift thus far in the young practice of analytics engineering. It's ready to provide value right away, but is most impactful if you move your project towards increasing normalization, and allow MetricFlow to do the denormalization for you with maximum dimensionality. diff --git a/website/docs/docs/build/saved-queries.md b/website/docs/docs/build/saved-queries.md index 6261a56ed08..4ef63a637be 100644 --- a/website/docs/docs/build/saved-queries.md +++ b/website/docs/docs/build/saved-queries.md @@ -230,5 +230,5 @@ To include all saved queries in the dbt build run, use the [`--resource-type` fl ## Related docs - +- [Validate semantic nodes in a CI job](/docs/deploy/ci-jobs#semantic-validations-in-ci) - Configure [caching](/docs/use-dbt-semantic-layer/sl-cache) diff --git a/website/docs/docs/dbt-versions/release-notes.md b/website/docs/docs/dbt-versions/release-notes.md index 2fc0f49673a..ea3f1646ca8 100644 --- a/website/docs/docs/dbt-versions/release-notes.md +++ b/website/docs/docs/dbt-versions/release-notes.md @@ -18,6 +18,9 @@ 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. +## July 2024 +- **New**: Introduced Semantic validations in CI pipelines. Automatically test your semantic nodes (metrics, semantic models, and saved queries) during code reviews by adding warehouse validation checks in your CI job using the `dbt sl validate` command. You can also validate modified semantic nodes to guarantee code changes made to dbt models don't break these metrics. Refer to [Semantic validations in CI](/docs/deploy/ci-jobs#semantic-validations-in-ci) to learn about the additional commands and use cases. + ## June 2024 - **New:** Introduced new granularity support for cumulative metrics in MetricFlow. Granularity options for cumulative metrics are slightly different than granularity for other metric types. For other metrics, we use the `date_trunc` function to implement granularity. However, because cumulative metrics are non-additive (values can't be added up), we can't use the `date_trunc` function to change their time grain granularity. diff --git a/website/docs/docs/deploy/ci-jobs.md b/website/docs/docs/deploy/ci-jobs.md index d1cda90119f..a96311a850f 100644 --- a/website/docs/docs/deploy/ci-jobs.md +++ b/website/docs/docs/deploy/ci-jobs.md @@ -10,7 +10,6 @@ You can set up [continuous integration](/docs/deploy/continuous-integration) (CI dbt Labs recommends that you create your CI job in a dedicated dbt Cloud [deployment environment](/docs/deploy/deploy-environments#create-a-deployment-environment) that's connected to a staging database. Having a separate environment dedicated for CI will provide better isolation between your temporary CI schema builds and your production data builds. Additionally, sometimes teams need their CI jobs to be triggered when a PR is made to a branch other than main. If your team maintains a staging branch as part of your release process, having a separate environment will allow you to set a [custom branch](/faqs/environments/custom-branch-settings) and, accordingly, the CI job in that dedicated environment will be triggered only when PRs are made to the specified custom branch. To learn more, refer to [Get started with CI tests](/guides/set-up-ci). - ### Prerequisites - You have a dbt Cloud account. - For 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/). @@ -77,6 +76,92 @@ If you're not using dbt Cloud’s native Git integration with [GitHub](/docs/cl - `non_native_pull_request_id` (for example, BitBucket) - Provide the `git_sha` or `git_branch` to target the correct commit or branch to run the job against. +## Semantic validations in CI + +Automatically test your semantic nodes (metrics, semantic models, and saved queries) during code reviews by adding warehouse validation checks in your CI job, guaranteeing that any code changes made to dbt models don't break these metrics. + +To do this, add the command `dbt sl validate --select state:modified+` in the CI job. This ensures the validation of modified semantic nodes and their downstream dependencies. + +- Testing semantic nodes in a CI job supports deferral and selection of semantic nodes. +- It allows you to catch issues early in the development process and deliver high-quality data to your end users. +- Semantic validation executes an explain query in the data warehouse for semantic nodes to ensure the generated SQL will execute. +- For semantic nodes and models that aren't downstream of modified models, dbt Cloud defers to the production models + +To learn how to set this up, refer to the following steps: + +1. Navigate to the **Job setting** page and click **Edit**. +2. Add the `dbt sl validate --select state:modified+` command under **Commands** in the **Execution settings** section. The command uses state selection and deferral to run validation on any semantic nodes downstream of model changes. To reduce job times, we recommend only running CI on modified semantic models. +3. Click **Save** to save your changes. + +There are additional commands and use cases described in the [next section](#use-cases), such as validating all semantic nodes, validating specific semantic nodes, and so on. + + + +### Use cases + +Use or combine different selectors or commands to validate semantic nodes in your CI job. Semantic validations in CI supports the following use cases: + + + +To validate semantic nodes that are downstream of a model change, add the two commands in your job **Execution settings** section: + +```bash +dbt build --select state:modified+ +dbt sl validate --select state:modified+ +``` + +- The first command builds the modified models. +- The second command validates the semantic nodes downstream of the modified models. + +Before running semantic validations, dbt Cloud must build the modified models. This process ensures that downstream semantic nodes are validated using the CI schema through the dbt Semantic Layer API. + +For semantic nodes and models that aren't downstream of modified models, dbt Cloud defers to the production models. + + + + + + + +To only validate modified semantic nodes, use the following command (with [state selection](/reference/node-selection/syntax#stateful-selection)): + +```bash +dbt sl validate --select state:modified+ +``` + + + +This will only validate semantic nodes. It will use the defer state set configured in your orchestration job, deferring to your production models. + + + + + +Use the selector syntax to select the _specific_ semantic node(s) you want to validate: + +```bash +dbt sl validate --select metric:revenue +``` + + + +In this example, the CI job will validate the selected `metric:revenue` semantic node. To select multiple semantic nodes, use the selector syntax: `dbt sl validate --select metric:revenue metric:customers`. + +If you don't specify a selector, dbt Cloud will validate all semantic nodes in your project. + + + + + +To validate _all_ semantic nodes in your project, add the following command to defer to your production schema when generating the warehouse validation queries: + + ```bash + dbt sl validate + ``` + + + + ## Troubleshooting diff --git a/website/docs/docs/deploy/continuous-integration.md b/website/docs/docs/deploy/continuous-integration.md index 9d31588c437..bf27f68a863 100644 --- a/website/docs/docs/deploy/continuous-integration.md +++ b/website/docs/docs/deploy/continuous-integration.md @@ -16,9 +16,9 @@ Using CI helps: ## How CI works -When you [set up CI jobs](/docs/deploy/ci-jobs#set-up-ci-jobs), dbt Cloud listens for notification from your Git provider indicating that a new PR has been opened or updated with new commits. When dbt Cloud receives one of these notifications, it enqueues a new run of the CI job. +When you [set up CI jobs](/docs/deploy/ci-jobs#set-up-ci-jobs), dbt Cloud listens for notification from your Git provider indicating that a new PR has been opened or updated with new commits. When dbt Cloud receives one of these notifications, it enqueues a new run of the CI job. -dbt Cloud builds and tests the models affected by the code change in a temporary schema, unique to the PR. This process ensures that the code builds without error and that it matches the expectations as defined by the project's dbt tests. The unique schema name follows the naming convention `dbt_cloud_pr__` (for example, `dbt_cloud_pr_1862_1704`) and can be found in the run details for the given run, as shown in the following image: +dbt Cloud builds and tests models, semantic models, metrics, and saved queries affected by the code change in a temporary schema, unique to the PR. This process ensures that the code builds without error and that it matches the expectations as defined by the project's dbt tests. The unique schema name follows the naming convention `dbt_cloud_pr__` (for example, `dbt_cloud_pr_1862_1704`) and can be found in the run details for the given run, as shown in the following image: diff --git a/website/docs/docs/deploy/deploy-environments.md b/website/docs/docs/deploy/deploy-environments.md index 8e25803cced..50d1b7ac99e 100644 --- a/website/docs/docs/deploy/deploy-environments.md +++ b/website/docs/docs/deploy/deploy-environments.md @@ -39,7 +39,9 @@ In dbt Cloud, each project can have one designated deployment environment, which ### Semantic Layer -For Semantic Layer-eligible customers, the next section of environment settings is the Semantic Layer configurations. [The Semantic Layer setup guide](/docs/use-dbt-semantic-layer/setup-sl) has the most up-to-date setup instructions! +For customers using the dbt Semantic Layer, the next section of environment settings is the Semantic Layer configurations. [The Semantic Layer setup guide](/docs/use-dbt-semantic-layer/setup-sl) has the most up-to-date setup instructions. + +You can also leverage the dbt Job scheduler to [validate your semantic nodes in a CI job](/docs/deploy/ci-jobs#semantic-validations-in-ci) to ensure code changes made to dbt models don't break these metrics. ## Staging environment diff --git a/website/docs/docs/deploy/job-commands.md b/website/docs/docs/deploy/job-commands.md index 8117178b2d6..2ecdc8bcd05 100644 --- a/website/docs/docs/deploy/job-commands.md +++ b/website/docs/docs/deploy/job-commands.md @@ -28,7 +28,6 @@ Every job invocation automatically includes the [`dbt deps`](/reference/commands **Job outcome** — During a job run, the built-in commands are "chained" together. This means if one of the run steps in the chain fails, then the next commands aren't executed, and the entire job fails with an "Error" job status. - ### Checkbox commands @@ -49,9 +48,8 @@ You can add or remove as many dbt commands as necessary for every job. However, Use [selectors](/reference/node-selection/syntax) as a powerful way to select and execute portions of your project in a job run. For example, to run tests for one_specific_model, use the selector: `dbt test --select one_specific_model`. The job will still run if a selector doesn't match any models. ::: - - -**Job outcome** — During a job run, the commands are "chained" together and executed as run steps. If one of the run steps in the chain fails, then the subsequent steps aren't executed, and the job will fail. + +**Job outcome** — During a job run, the commands are "chained" together and executed as run steps. If one of the run steps in the chain fails, then the subsequent steps aren't executed, and the job will fail. In the following example image, the first four run steps are successful. However, if the fifth run step (`dbt run --select state:modified+ --full-refresh --fail-fast`) fails, then the next run steps aren't executed, and the entire job fails. The failed job returns a non-zero [exit code](/reference/exit-codes) and "Error" job status: diff --git a/website/docs/docs/use-dbt-semantic-layer/exports.md b/website/docs/docs/use-dbt-semantic-layer/exports.md index 9d2705a1b88..a563df40ef7 100644 --- a/website/docs/docs/use-dbt-semantic-layer/exports.md +++ b/website/docs/docs/use-dbt-semantic-layer/exports.md @@ -203,5 +203,6 @@ To include all saved queries in the dbt build run, use the [`--resource-type` fl ## Related docs +- [Validate semantic nodes in a CI job](/docs/deploy/ci-jobs#semantic-validations-in-ci) - Configure [caching](/docs/use-dbt-semantic-layer/sl-cache) - [dbt Semantic Layer FAQs](/docs/use-dbt-semantic-layer/sl-faqs) diff --git a/website/docs/docs/use-dbt-semantic-layer/setup-sl.md b/website/docs/docs/use-dbt-semantic-layer/setup-sl.md index 7a42c46f5c5..ae185a0343a 100644 --- a/website/docs/docs/use-dbt-semantic-layer/setup-sl.md +++ b/website/docs/docs/use-dbt-semantic-layer/setup-sl.md @@ -43,10 +43,16 @@ import SlSetUp from '/snippets/_new-sl-setup.md'; 8. You’re done 🎉! The semantic layer should is now enabled for your project. --> +## Next steps + +- Now that you've set up the dbt Semantic Layer, start querying your metrics with the [available integrations](/docs/cloud-integrations/avail-sl-integrations). +- [Optimize querying performance](/docs/use-dbt-semantic-layer/sl-cache) using declarative caching. +- [Validate semantic nodes in CI](/docs/deploy/ci-jobs#semantic-validations-in-ci) to ensure code changes made to dbt models don't break these metrics. +- If you haven't already, learn how to [build you metrics and semantic models](/docs/build/build-metrics-intro) in your development tool of choice. + ## Related docs - [Build your metrics](/docs/build/build-metrics-intro) -- [Available integrations](/docs/cloud-integrations/avail-sl-integrations) - [Semantic Layer APIs](/docs/dbt-cloud-apis/sl-api-overview) - [Get started with the dbt Semantic Layer](/guides/sl-snowflake-qs) - [dbt Semantic Layer FAQs](/docs/use-dbt-semantic-layer/sl-faqs) diff --git a/website/docs/docs/use-dbt-semantic-layer/sl-cache.md b/website/docs/docs/use-dbt-semantic-layer/sl-cache.md index 12f5c176e9e..5f1460b07f5 100644 --- a/website/docs/docs/use-dbt-semantic-layer/sl-cache.md +++ b/website/docs/docs/use-dbt-semantic-layer/sl-cache.md @@ -132,6 +132,8 @@ If an upstream model has data in it that was created after the cache was created You can manually invalidate the cache through the [dbt Semantic Layer APIs](/docs/dbt-cloud-apis/sl-api-overview) using the `InvalidateCacheResult` field. + ## Related docs +- [Validate semantic nodes in CI](/docs/deploy/ci-jobs#semantic-validations-in-ci) - [Saved queries](/docs/build/saved-queries) - [dbt Semantic Layer FAQs](/docs/use-dbt-semantic-layer/sl-faqs) diff --git a/website/docs/docs/use-dbt-semantic-layer/sl-faqs.md b/website/docs/docs/use-dbt-semantic-layer/sl-faqs.md index b1fa516cf61..fb7ed58ba0d 100644 --- a/website/docs/docs/use-dbt-semantic-layer/sl-faqs.md +++ b/website/docs/docs/use-dbt-semantic-layer/sl-faqs.md @@ -226,6 +226,15 @@ Yes, we approach this by specifying a [dimension](/docs/build/dimensions) that a Yes, while [entities](/docs/build/entities) must be defined under “entities,” they can be queried like dimensions in downstream tools. Additionally, if the entity isn't used to perform joins across your semantic models, you may optionally define it as a dimension. + + +Yes! You can validate your semantic nodes (semantic models, metrics, saved queries) in a few ways: + +- [Query and validate you metrics](/docs/build/metricflow-commands) in your development tool before submitting your code changes. +- [Validate semantic nodes in CI](/docs/deploy/ci-jobs#semantic-validations-in-ci) to ensure code changes made to dbt models don't break these metrics. + + + ## Available integrations diff --git a/website/docs/guides/set-up-ci.md b/website/docs/guides/set-up-ci.md index 39f730f669d..3c1ece9451d 100644 --- a/website/docs/guides/set-up-ci.md +++ b/website/docs/guides/set-up-ci.md @@ -54,6 +54,10 @@ In the Execution Settings, your command will be preset to `dbt build --select st To be able to find modified nodes, dbt needs to have something to compare against. dbt Cloud uses the last successful run of any job in your Production environment as its [comparison state](/reference/node-selection/syntax#about-node-selection). As long as you identified your Production environment in Step 2, you won't need to touch this. If you didn't, pick the right environment from the dropdown. +:::info Use CI to test your metrics +If you've [built semantic nodes](/docs/build/build-metrics-intro) in your dbt project, you can [validate them in a CI job](/docs/deploy/ci-jobs#semantic-validations-in-ci) to ensure code changes made to dbt models don't break these metrics. +::: + ### 3. Test your process That's it! There are other steps you can take to be even more confident in your work, such as validating your structure follows best practices and linting your code. For more information, refer to [Get started with Continuous Integration tests](/guides/set-up-ci). @@ -356,4 +360,4 @@ When the Release Manager is ready to cut a new release, they will manually open To test your new flow, create a new branch in the dbt Cloud IDE then add a new file or modify an existing one. 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zR0Vc5cRqOuzETLAQ3^@G9iVgjmNVtQ~ftqCO<$p4UILLJWwkC;gvid{Aawu#_A6|+W9a85O})!xvX Date: Tue, 16 Jul 2024 14:18:06 -0700 Subject: [PATCH 2/2] Update linter docs for dbt Cloud CLI (#5753) ## What are you changing in this pull request and why? Provide more docs details for the linter that's available from the dbt Cloud CLI closes #5715 ## Checklist - [x] Review 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] For [docs versioning](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#about-versioning), review how to [version a whole page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version) and [version a block of content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content). - [x] Needs review from product eng --------- Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> --- .../docs/docs/cloud/configure-cloud-cli.md | 31 ++++++++++++++----- .../docs/docs/dbt-versions/release-notes.md | 1 + 2 files changed, 25 insertions(+), 7 deletions(-) diff --git a/website/docs/docs/cloud/configure-cloud-cli.md b/website/docs/docs/cloud/configure-cloud-cli.md index 2d4bdcb639d..17fade3d3a7 100644 --- a/website/docs/docs/cloud/configure-cloud-cli.md +++ b/website/docs/docs/cloud/configure-cloud-cli.md @@ -110,17 +110,34 @@ As a tip, most command-line tools have a `--help` flag to show available command - `dbt run --help`: Lists the flags available for the `run` command ::: -### SQLFluff integration -The dbt Cloud CLI supports [SQLFluff](https://sqlfluff.com/), a modular and configuration SQL linter, which warns you of complex functions, syntax, formatting, and compilation errors. +### Lint SQL files -To get started, run `dbt sqlfluff -h` to see the list of supported commands and flags, such as `dbt sqlfluff lint` to lint SQL files. +From the dbt Cloud CLI, you can invoke [SQLFluff](https://sqlfluff.com/) which is a modular and configurable SQL linter that warns you of complex functions, syntax, formatting, and compilation errors. Many of the same flags that you can pass to SQLFluff are available from the dbt Cloud CLI. + +The available SQLFluff commands are: + +- `lint` — Lint SQL files by passing a list of files or from standard input (stdin). +- `fix` — Fix SQL files. +- `format` — Autoformat SQL files. + + +To lint SQL files, run the command as follows: + +```shell +dbt sqlfluff lint [PATHS]... [flags] +``` + +When no path is set, dbt lints all SQL files in the current project. To lint a specific SQL file or a directory, set `PATHS` to the path of the SQL file(s) or directory of files. To lint multiple files or directories, pass multiple `PATHS` flags. + +To show detailed information on all the dbt supported commands and flags, run the `dbt sqlfluff -h` command. #### Considerations -Keep the following points in mind when using SQLFluff with the dbt Cloud: -- When you run `dbt sqlfluff`, it picks up changes to your local .sqlfluff config. -- To use SQLFluff in continuous integration/continuous development, you need to have a `dbt_cloud.yml` file in your project and run commands from a valid dbt project. -- SQLFluff commands in the dbt Cloud CLI do not return exit codes yet. +When running `dbt sqlfluff` from the dbt Cloud CLI, the following are important behaviors to consider: + +- dbt reads the `.sqlfluff` file, if it exists, for any custom configurations you might have. +- For continuous integration/continuous development (CI/CD) workflows, your project must have a `dbt_cloud.yml` file and you have successfully run commands from within this dbt project. +- An SQLFluff command will return an exit code of 0 if it ran without any file violations. This dbt behavior differs from SQLFluff behavior, where a linting violation returns a non-zero exit code. dbt Labs plans on addressing this in a later release. ## FAQs diff --git a/website/docs/docs/dbt-versions/release-notes.md b/website/docs/docs/dbt-versions/release-notes.md index ea3f1646ca8..5ce0c210b95 100644 --- a/website/docs/docs/dbt-versions/release-notes.md +++ b/website/docs/docs/dbt-versions/release-notes.md @@ -19,6 +19,7 @@ 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. ## July 2024 +- **New**: The ability to lint your SQL files from the dbt Cloud CLI is now available. To learn more, refer to [Lint SQL files](/docs/cloud/configure-cloud-cli#lint-sql-files). - **New**: Introduced Semantic validations in CI pipelines. Automatically test your semantic nodes (metrics, semantic models, and saved queries) during code reviews by adding warehouse validation checks in your CI job using the `dbt sl validate` command. You can also validate modified semantic nodes to guarantee code changes made to dbt models don't break these metrics. Refer to [Semantic validations in CI](/docs/deploy/ci-jobs#semantic-validations-in-ci) to learn about the additional commands and use cases. ## June 2024