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  1. Spark
  2. SPARK-5224

parallelize list/ndarray is really slow

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    Details

    • Type: Bug
    • Status: Resolved
    • Priority: Blocker
    • Resolution: Fixed
    • Affects Version/s: 1.2.0
    • Fix Version/s: 1.2.1, 1.3.0
    • Component/s: PySpark
    • Labels:
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      Description

      After the default batchSize changed to 0 (batched based on the size of object), but parallelize() still use BatchedSerializer with batchSize=1.

      Also, BatchedSerializer did not work well with list and numpy.ndarray

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            • Assignee:
              davies Davies Liu
              Reporter:
              davies Davies Liu
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                Updated:
                Resolved: