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  1. Spark
  2. SPARK-5224

parallelize list/ndarray is really slow

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Details

    • Bug
    • Status: Resolved
    • Blocker
    • Resolution: Fixed
    • 1.2.0
    • 1.2.1, 1.3.0
    • PySpark
    • None

    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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            davies Davies Liu
            davies Davies Liu
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              Created:
              Updated:
              Resolved: