Run a Python file as a job by using the Databricks extension for Visual Studio Code

This article describes how to run a Python file as a Databricks job by using the Databricks extension for Visual Studio Code. See What is the Databricks extension for Visual Studio Code?.

To run a Python file on a Databricks cluster instead, see Run a Python file on a cluster by using the Databricks extension for Visual Studio Code. To run a Python notebook as a Databricks job instead, see Run a Python notebook as a job by using the Databricks extension for Visual Studio Code.

This information assumes that you have already installed and set up the Databricks extension for Visual Studio Code. See Install the Databricks extension for Visual Studio Code.

With the extension and your code project opened, do the following:

  1. In your code project, open the Python file that you want to run as a job.

  2. Do one of the following:

    • In Explorer view (View > Explorer), right-click the file, and then select Run File as Workflow on Databricks from the context menu.

      Run File as Workflow on Databricks context menu command 1

    • In the file editor’s title bar, click the drop-down arrow next to the play (Run or Debug) icon. Then in the drop-down list, click Run File as Workflow on Databricks.

      Run File as Workflow on Databricks editor command 1

A new editor tab appears, titled Databricks Job Run. The file runs as a job in the workspace, and any output is printed to the new editor tab’s Output area.

To view information about the job run, click the Task run ID link in the new Databricks Job Run editor tab. Your workspace opens and the job run’s details are displayed in the workspace.