Davies Liu created SPARK-5224:
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Summary: parallelize list/ndarray is really slow
Key: SPARK-5224
URL: https://issues.apache.org/jira/browse/SPARK-5224
Project: Spark
Issue Type: Bug
Components: PySpark
Affects Versions: 1.2.0
Reporter: Davies Liu
Priority: Blocker
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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