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Power BI Refresh Error:
SqlBatchWriteTimeout

What does this error mean?

The ADF copy activity timed out while writing a batch to SQL Server or Azure SQL Database — the database is taking too long to commit.

Common causes

  • 1The target SQL database is under heavy load and cannot process the write batch within the timeout window
  • 2Long-running index maintenance or statistics updates are blocking write operations
  • 3The batch size is very large, causing single batches to exceed the SQL write timeout
  • 4Row-level triggers on the destination table are slowing down inserts

How to fix it

  1. 1Reduce the batch size in the copy activity sink settings to commit smaller, faster batches.
  2. 2Increase the write batch timeout in the copy activity advanced settings.
  3. 3Check SQL database DTU/vCore utilization and scale up the database if it is consistently overloaded during copy operations.
  4. 4Review and optimize triggers or indexes on the destination table that may be slowing inserts.
  5. 5Schedule the ADF pipeline during off-peak database usage hours.

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/connector-troubleshoot-synapse-sql

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