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Job-Level Bursting in Microsoft Fabric Spark Jobs

Santhosh Kumar Ravindran announces a new feature:

  • Enabled (Default): When enabled, a single Spark job can leverage the full burst limit, consuming up to 3× CUs. This is ideal for demanding ETL processes or large analytical tasks that benefit from maximum immediate compute power.
  • Disabled: If you disable this switch, individual Spark jobs will be capped at the base capacity allocation. This prevents a single job from monopolizing the burst capacity, thereby preserving concurrency and improving the experience for multi-user, interactive scenarios.

Read on for the list of caveats and the note that it will cost extra money to flip that switch.

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