jingz-db commented on code in PR #48838:
URL: https://github.com/apache/spark/pull/48838#discussion_r1857469606
##########
python/pyspark/sql/pandas/serializers.py:
##########
@@ -1201,11 +1201,89 @@ def generate_data_batches(batches):
def dump_stream(self, iterator, stream):
"""
- Read through an iterator of (iterator of pandas DataFrame), serialize
them to Arrow
- RecordBatches, and write batches to stream.
+ Read through chained return results from a single partition of
handleInputRows.
Review Comment:
I now moved the `handleExpiredTimer` inside `serializer.py`, so
`get_expiry_timers_iterator()` will called after all `handleInitialState()` are
executed for all keys on the partition, and it is also chained after all
`handleInputRows()` are called on all keys on the same partition.
##########
python/pyspark/sql/pandas/serializers.py:
##########
@@ -1201,11 +1201,89 @@ def generate_data_batches(batches):
def dump_stream(self, iterator, stream):
"""
- Read through an iterator of (iterator of pandas DataFrame), serialize
them to Arrow
- RecordBatches, and write batches to stream.
+ Read through chained return results from a single partition of
handleInputRows.
Review Comment:
I now moved the `handleExpiredTimer` inside `serializer.py`, so
`get_expiry_timers_iterator()` will be called after all `handleInitialState()`
are executed for all keys on the partition, and it is also chained after all
`handleInputRows()` are called on all keys on the same partition.
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