HyukjinKwon commented on code in PR #36683:
URL: https://github.com/apache/spark/pull/36683#discussion_r885367253
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python/pyspark/sql/pandas/conversion.py:
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@@ -596,7 +596,7 @@ def _create_from_pandas_with_arrow(
]
# Slice the DataFrame to be batched
- step = -(-len(pdf) // self.sparkContext.defaultParallelism) # round
int up
+ step = self._jconf.arrowMaxRecordsPerBatch()
Review Comment:
The reason of doing this is to avoid reconfiguring
`spark.rpc.message.maxSize`. When the batch is too large, it throws an
exception with complaining `spark.rpc.message.maxSize` is too small.
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