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  1. Hive
  2. HIVE-7292 Hive on Spark
  3. HIVE-8844

Choose a persisent policy for RDD caching [Spark Branch]

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    Details

    • Type: Sub-task
    • Status: Resolved
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: None
    • Fix Version/s: 1.1.0
    • Component/s: Spark
    • Labels:
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      Description

      RDD caching is used for performance reasons in some multi-insert queries. Currently, we call RDD.cache(), which indicates a persistency policy of using memory only. We should choose a better policy. I think memory+disk will be good enough. Refer to RDD.persist() for more information.

        Attachments

        1. HIVE-8844.1-spark.patch
          7 kB
          Jimmy Xiang
        2. HIVE-8844.2-spark.patch
          7 kB
          Jimmy Xiang
        3. HIVE-8844.3-spark.patch
          2 kB
          Jimmy Xiang

          Activity

            People

            • Assignee:
              jxiang Jimmy Xiang
              Reporter:
              xuefuz Xuefu Zhang
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              Dates

              • Created:
                Updated:
                Resolved: