Matei Zaharia created SPARK-3467:
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Summary: Python BatchedSerializer should dynamically lower batch
size for large objects
Key: SPARK-3467
URL: https://issues.apache.org/jira/browse/SPARK-3467
Project: Spark
Issue Type: Improvement
Components: PySpark
Reporter: Matei Zaharia
If you try caching largish objects in Python, you will get a crash sooner than
you would in Scala / Java because Python automatically batches them. I believe
the default batch size is 10, though it may be 1024. But maybe we can start by
pickling the first object and using a smaller batch size if it is large.
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