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databricks Platform · Updated Aug 11, 2025

Jobs in continuous mode can now have task-level retries for failed tasks

Jobs that are set to run in continuous mode now have the option to retry individual tasks on task failure.

Update Open docs ↗release note ↗
What it does

Jobs that are set to run in continuous mode now have the option to retry individual tasks on task failure. Use continuous mode to schedule workloads to run continuously. Databricks recommends using continuous mode for always on streaming workloads.

Why it matters

For continuous streaming with low latency requirements on serverless compute, use Triggered vs.

Architecture
Databricks Platform → Platform
In short

Jobs that are set to run in continuous mode now have the option to retry individual tasks on task failure. Use continuous mode to schedule workloads to run continuously.

Read the full documentation ↗
Key takeaway
Jobs that are set to run in continuous mode now have the option to retry individual tasks on task failure.
2025-08-11-jobs-in-continuous-mode-can-now-have-task-level-retries-for-failed-tasks Generated by the Databricks Updates Agent · browse all updates