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  1. Spark
  2. SPARK-17876

Write StructuredStreaming WAL to a stream instead of materializing all at once

    Details

    • Type: Bug
    • Status: Resolved
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: 2.0.0, 2.0.1
    • Fix Version/s: 2.0.2, 2.1.0
    • Component/s: Structured Streaming
    • Labels:
      None

      Description

      The CompactibleFileStreamLog materializes the whole metadata log in memory as a String. This can cause issues when there are lots of files that are being committed, especially during a compaction batch.

      You may come across stacktraces that look like:

      java.lang.OutOfMemoryError: Requested array size exceeds VM limit
      at java.lang.StringCoding.encode(StringCoding.java:350)
      at java.lang.String.getBytes(String.java:941)
      at org.apache.spark.sql.execution.streaming.FileStreamSinkLog.serialize(FileStreamSinkLog.scala:127)
      at 
      

      The safer way is to write to an output stream so that we don't have to materialize a huge string.

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            • Assignee:
              brkyvz Burak Yavuz
              Reporter:
              brkyvz Burak Yavuz
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              • Created:
                Updated:
                Resolved: