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  1. Spark
  2. SPARK-24295

Purge Structured streaming FileStreamSinkLog metadata compact file data.

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Details

    • Bug
    • Status: In Progress
    • Major
    • Resolution: Unresolved
    • 2.3.0
    • None
    • Structured Streaming
    • None

    Description

      FileStreamSinkLog metadata logs are concatenated to a single compact file after defined compact interval.

      For long running jobs, compact file size can grow up to 10's of GB's, Causing slowness  while reading the data from FileStreamSinkLog dir as spark is defaulting to the "_spark_metadata" dir for the read.

      We need a functionality to purge the compact file size.

       

      Attachments

        Issue Links

        is related to

        Bug - A problem which impairs or prevents the functions of the product. SPARK-30462 Structured Streaming _spark_metadata fills up Spark Driver memory when having lots of objects

        • Major - Major loss of function.
        • Resolved
        relates to

        Improvement - An improvement or enhancement to an existing feature or task. SPARK-27188 FileStreamSink: provide a new option to have retention on output files

        • Major - Major loss of function.
        • Resolved
        links to

        Web Link GitHub Pull Request #23840

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            Unassigned Unassigned
            iqbal_khattra Iqbal Singh
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              Updated:

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