Kimahriman commented on code in PR #49005:
URL: https://github.com/apache/spark/pull/49005#discussion_r1878974193
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python/pyspark/sql/pandas/serializers.py:
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@@ -728,8 +743,9 @@ def load_stream(self, stream):
dataframes_in_group = read_int(stream)
if dataframes_in_group == 2:
+ # We need to fully load the left batches, but we can lazily
load the right batches
Review Comment:
Sorry the main question is, do we update the `Cogrouped.applyInArrow` in
this PR as well, which is _better_ than it currently is but still not
completely lazy (the left side has to be eagerly loaded in memory on the Python
side), or do we not touch the Cogrouped API since it's not completely optimal
and address that later?
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