Azure Data Factory Pipeline Concurrency Issue Causing File Copy Failures

Smaran Thoomu 19,955 Reputation points Microsoft Vendor
2024-07-31T14:13:57.9833333+00:00

I am facing an issue with Azure Data Factory where a pipeline designed to copy a large file from one blob storage folder to another is failing. The file is copied multiple times within seconds, with only the first few copies succeeding and subsequent attempts failing due to a "file in use" error. How can I resolve this issue?

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Azure Data Factory
Azure Data Factory
An Azure service for ingesting, preparing, and transforming data at scale.
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  1. Smaran Thoomu 19,955 Reputation points Microsoft Vendor
    2024-07-31T14:18:02.02+00:00

    Greetings!
    The issue you're encountering is related to the concurrent execution of copy activities in your Azure Data Factory pipeline. When you attempt to copy a large file multiple times in a short period, the first few copies succeed, but subsequent attempts fail because the file is still in use.

    To resolve this issue, you can follow these steps:

    1. Modify the Pipeline Configuration: Adjust the concurrency settings of your pipeline to ensure that the copy activities do not execute simultaneously on the same file. This can be done by limiting the number of concurrent runs or adding a delay between each copy attempt.
    2. Use Dependency Conditions: Implement dependency conditions in your pipeline to ensure that the next copy activity starts only after the previous one has completed successfully.
    3. Retry Mechanism: Configure a retry mechanism for the copy activities to handle transient failures due to file access conflicts.

    For detailed guidance on configuring these settings, refer to the Azure Data Factory documentation on pipeline concurrency and activity dependencies.

    Resources:

    Hope this helps. If you have any follow-up questions, please let me know. I would be happy to help.

    Please do not forget to "up-vote" wherever the information provided helps you, as this can be beneficial to other community members.

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