Thanks for raising this. Enabling the retry option in your Azure Data Factory pipeline, such as setting the retry count to 3 and the interval to 5 minutes, can definitely help mitigate occasional deadlocks. This allows the pipeline to reattempt the activity after a short pause, giving time for any temporary resource conflicts to clear up.
That said, this approach primarily helps with recovering from deadlocks, not preventing them. If deadlocks start happening more frequently, it's important to look deeper into the root cause.
Here are some ways to reduce the likelihood of deadlocks:
- Optimize your queries or stored procedures to minimize locking and execution time.
- Tune indexes to improve query performance.
- Adjust transaction logic to ensure transactions are short and access resources in a consistent order.
- Reduce parallel activity if multiple pipelines are trying to access the same data concurrently.
I hope this information helps. Please do let us know if you have any further queries.
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