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  1. Hive
  2. HIVE-8274 Refactoring SparkPlan and SparkPlanGeneration [Spark Branch]
  3. HIVE-8262

Create CacheTran that transforms the input RDD by caching it [Spark Branch]

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    Details

    • Type: Sub-task
    • Status: Resolved
    • Priority: Major
    • Resolution: Won't Fix
    • Affects Version/s: None
    • Fix Version/s: None
    • Component/s: Spark
    • Labels:
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      Description

      In a few cases we need to cache a RDD to avoid recompute it for better performance. However, caching a map input RDD is different from caching a regular RDD due to SPARK-3693. The way to cache a Hadoop RDD, which is the input to MapWork, is to cache, the result RDD that is transformed from the original Hadoop RDD by applying a map function, in which <key, value> pairs are copied. To cache intermediate RDDs, such as that from a shuffle, is just calling .cache().

      This task is to create a CacheTran to capture this, which can be used to plug in Spark Plan when caching is desirable.

        Attachments

        1. HIVE-8262.1-spark.patch
          3 kB
          Chao Sun

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              • Assignee:
                csun Chao Sun
                Reporter:
                xuefuz Xuefu Zhang
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