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databricks Platform · Updated Aug 17, 2026

Session restore for serverless jobs is now in Beta

Restore the Python variables and Spark session from a serverless compute job run into a new interactive notebook, so you can debug a failure or explore results without rerunning the job.

What it does

Restore the Python variables and Spark session from a serverless compute job run into a new interactive notebook, so you can debug a failure or explore results without rerunning the job. Databricks automatically captures a state snapshot when an eligible run fails, runs 30 minutes or longer, or is cancelled, and keeps it for 7 days after the run completes. This feature is in Beta.

Why it matters

If you use serverless, select the performance mode.

Architecture
Databricks Platform → Platform
In short

Restore the Python variables and Spark session from a serverless compute job run into a new interactive notebook, so you can debug a failure or explore results without rerunning the job. Databricks automatically captures a state snapshot when an eligible run…

Read the full documentation ↗
Key takeaway
Restore the Python variables and Spark session from a serverless compute job run into a new interactive notebook, so you can debug a failure or explore results without rerunning the job.
2026-08-17-session-restore-for-serverless-jobs-is-now-in-beta Generated by the Databricks Updates Agent · browse all updates