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  1. Spark
  2. SPARK-5354

Set InMemoryColumnarTableScan's outputPartitioning and outputOrdering

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    Details

    • Type: Improvement
    • Status: Resolved
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: None
    • Fix Version/s: 1.6.0
    • Component/s: SQL
    • Labels:
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      Description

      Updated
      Right now, Spark SQL is not aware of the outputPartitioning and outputOrdering of a InMemoryColumnarTableScan. Actually, we can just inherit these two properties from the SparkPlan of the cached table.

      Original
      Right now, Spark SQL is not aware of the partitioning scheme of a leaf SparkPlan (e.g. an input table). So, even users want to re-partitioning the data in advance, Exchange operators will still be used.

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              • Assignee:
                nongli Nong Li
                Reporter:
                yhuai Yin Huai
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                • Created:
                  Updated:
                  Resolved: