From b47f065c6d08bf20154a3f2ea982bf9507f77262 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Wed, 23 Oct 2024 16:58:41 +0100 Subject: [PATCH] Update ci-jobs.md --- 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 b4d5bf30223..34b4874858c 100644 --- a/website/docs/docs/deploy/ci-jobs.md +++ b/website/docs/docs/deploy/ci-jobs.md @@ -53,7 +53,7 @@ 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 **Run compare changes** option, the timeout value defaults to `3600` (one hour) to prevent long-running comparisons. -2. (optional) Options in the **Advanced settings** section: +1. (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.