diff --git a/website/docs/docs/deploy/source-freshness.md b/website/docs/docs/deploy/source-freshness.md index 78500416c56..2f9fe6bc007 100644 --- a/website/docs/docs/deploy/source-freshness.md +++ b/website/docs/docs/deploy/source-freshness.md @@ -13,7 +13,7 @@ dbt Cloud provides a helpful interface around dbt's [source data freshness](/doc [`dbt build`](reference/commands/build) does _not_ include source freshness checks when building and testing resources in your DAG. Instead, you can use one of these common patterns for defining jobs: - Add `dbt build` to the run step to run models, tests, and so on. - Select the **Generate docs on run** checkbox to automatically [generate project docs](/docs/collaborate/build-and-view-your-docs#set-up-a-documentation-job). -- Select the **Run on source freshness** checkbox to enable [source freshness](#checkbox) as the first to step of the job. +- Select the **Run source freshness** checkbox to enable [source freshness](#checkbox) as the first step of the job. @@ -24,7 +24,7 @@ Review the following options and outcomes: | Options | Outcomes | |--------| ------- | | **Select checkbox ** | The **Run source freshness** checkbox in your **Execution Settings** will run `dbt source freshness` as the first step in your job and won't break subsequent steps if it fails. If you wanted your job dedicated *exclusively* to running freshness checks, you still need to include at least one placeholder step, such as `dbt compile`. | -| **Add as a run step** | Add the `dbt source freshness` command to a job anywhere in your list of run steps. However, if your source data is out of date — this step will "fail', and subsequent steps will not run. dbt Cloud will trigger email notifications (if configured) based on the end state of this step.

You can create a new job to snapshot source freshness.

If you *do not* want your models to run if your source data is out of date, then it could be a good idea to run `dbt source freshness` as the first step in your job. Otherwise, we recommend adding `dbt source freshness` as the last step in the job, or creating a separate job just for this task. | +| **Add as a run step** | Add the `dbt source freshness` command to a job anywhere in your list of run steps. However, if your source data is out of date — this step will "fail", and subsequent steps will not run. dbt Cloud will trigger email notifications (if configured) based on the end state of this step.

You can create a new job to snapshot source freshness.

If you *do not* want your models to run if your source data is out of date, then it could be a good idea to run `dbt source freshness` as the first step in your job. Otherwise, we recommend adding `dbt source freshness` as the last step in the job, or creating a separate job just for this task. |