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Power BI Refresh Error:
UserErrorDataFlowExecutionTimeout

What does this error mean?

An Azure Data Factory mapping data flow activity exceeded its execution timeout and was terminated. The default timeout for data flows is 1 hour; large transformations or under-provisioned Spark clusters often hit this limit.

Common causes

  • 1The data flow is processing a large dataset on an undersized Spark cluster (too few cores)
  • 2The data flow timeout property is set too low for the actual processing time required
  • 3Inefficient transformations (full table scans, missing partition pruning) causing the Spark job to run much longer than expected
  • 4The Azure Integration Runtime cluster takes too long to start when using TTL = 0

How to fix it

  1. 1Increase the data flow activity timeout property (activity settings > Timeout).
  2. 2Scale up the data flow compute: increase the 'Compute type' or 'Core count' on the Azure IR used for the data flow.
  3. 3Enable Time to Live (TTL) on the Azure IR to keep the Spark cluster warm between runs.
  4. 4Optimize the data flow: push filter and select transformations as early as possible to reduce data volume.
  5. 5Use partition pruning and appropriate partition settings to distribute the workload evenly across Spark workers.

Frequently asked questions

Does this error affect all pipeline runs or just the current one?

Depends on the root cause. A persistent misconfiguration fails every run; a transient issue may resolve on retry. Check the run history.

Can this error appear in Azure Data Factory and Microsoft Fabric pipelines?

Yes — the same connector errors appear in both ADF and Fabric Data Factory pipelines.

How do I see the full error detail for an ADF pipeline failure?

In ADF Monitor, click the failed run, then the failed activity. The detail pane shows the error code, message, and sub-error codes.

Will downstream Power BI datasets be affected when an ADF pipeline fails?

Yes — a dataset refreshing after the pipeline will use stale data or fail if the target table was cleared. The Power BI refresh may succeed while serving wrong data.

Official documentation: https://learn.microsoft.com/en-us/azure/data-factory/data-flow-troubleshoot-guide

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