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  1. Spark
  2. SPARK-8735

Expose metrics for runtime memory usage

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    Details

    • Type: Improvement
    • Status: Resolved
    • Priority: Blocker
    • Resolution: Fixed
    • Affects Version/s: None
    • Fix Version/s: 1.5.0
    • Component/s: Spark Core, SQL
    • Labels:
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    • Target Version/s:

      Description

      Spark has many uses of memory: caching, shuffle, metadata etc. It is useful for users to be able to drill down on the internal memory allocation for memory-intensive operations like aggregations and joins. The goal is to do this for both tungsten and non-tungsten applications.

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              • Assignee:
                andrewor14 Andrew Or
                Reporter:
                andrewor14 Andrew Or
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                • Created:
                  Updated:
                  Resolved: