Databricks Jobs API


              Databricks Jobs API

The Databricks Jobs API allows you to manage and interact with Databricks jobs programmatically, enabling automation and integration with other systems. It offers a comprehensive set of endpoints for creating, editing, deleting, running, and monitoring jobs.

Key Features and Benefits:

  • Automation: Automate job creation, scheduling, and management tasks.
  • Integration: Integrate with other tools and platforms for seamless workflows.
  • Monitoring and Control: Monitor job runs, get detailed logs, and control job execution.
  • API Versions: Databricks offers multiple API versions (2.0, 2.1, etc.) with evolving features and capabilities.

Common Use Cases:

  • Triggering jobs on demand or a schedule.
  • Managing job dependencies and workflows.
  • Integrating with CI/CD pipelines for automated testing and deployment.
  • Building custom dashboards and reporting tools for job analytics.

Getting Started:

  1. Authentication: You must authenticate your requests using a Personal Access Token or Azure Active Directory token.

Example (Creating a Job):

POST /API/2.1/jobs/create



  “name”: “My Job,”

  “tasks”: [


      “notebook_task”: {

        “notebook_path”: “/path/to/notebook”






Important Considerations:

  • Rate Limits: Be mindful of API rate limits to avoid throttling.
  • Error Handling: Implement robust error handling to manage failures gracefully.
  • Security: Use secrets management to store credentials securely.

Databricks Training Demo Day 1 Video:

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