How long is the job run history retained in Databricks?

The retention period for job run history in Databricks is designed to provide users with timely access to historical job details while managing storage effectively. Specifically, job run history is retained for 60 days, allowing users to reference and analyze past jobs easily. During this period, exporting the notebook run results to HTML is a functional benefit, giving teams the option to archive significant job outputs for reporting or auditing purposes.

The ability to retain logs for 60 days ensures that users can troubleshoot and monitor job performance without losing important historical data. This retention timeframe aligns well with common data processing needs, where recent job runs are typically of the most interest.

In contrast, other options may suggest either different retention periods or functionalities that don't precisely align with how Databricks manages job run history. This highlights the importance of understanding both the retention policy and the features available during that retention window.