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[SPARK-44486][PYTHON][CONNECT] Implement PyArrow self_destruct feature for toPandas - #42079
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xinrong-meng wants to merge 8 commits into
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[SPARK-44486][PYTHON][CONNECT] Implement PyArrow self_destruct feature for toPandas#42079xinrong-meng wants to merge 8 commits into
self_destruct feature for toPandas#42079xinrong-meng wants to merge 8 commits into
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self_destruct feature for toPandasself_destruct feature for toPandasxinrong-meng
marked this pull request as ready for review
July 21, 2023 00:18
HyukjinKwon
approved these changes
Jul 21, 2023
xinrong-meng
commented
Jul 21, 2023
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cc @BryanCutler |
xinrong-meng
commented
Jul 25, 2023
MemberAuthor
Failed Run / Run Spark on Kubernetes Integration test, which is irrelevant to the PR. |
HyukjinKwon
commented
Jul 25, 2023
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Merged to master and branch-3.5. |
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Jul 25, 2023
…ure for `toPandas` ### What changes were proposed in this pull request? Implement Arrow `self_destruct` of `toPandas` for memory savings. Now the Spark configuration `spark.sql.execution.arrow.pyspark.selfDestruct.enabled` can be used to enable PyArrow’s `self_destruct` feature in Spark Connect, which can save memory when creating a Pandas DataFrame via `toPandas` by freeing Arrow-allocated memory while building the Pandas DataFrame. ### Why are the changes needed? Reach parity with vanilla PySpark. The PR is a mirror of #29818 for Spark Connect. ### Does this PR introduce _any_ user-facing change? No. ### How was this patch tested? Unit test. Closes#42079 from xinrong-meng/self_destruct. Authored-by: Xinrong Meng <xinrong@apache.org> Signed-off-by: Hyukjin Kwon <gurwls223@apache.org> (cherry picked from commit 78b3345) Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
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What changes were proposed in this pull request?
Implement Arrow
self_destructoftoPandasfor memory savings.Now the Spark configuration
spark.sql.execution.arrow.pyspark.selfDestruct.enabledcan be used to enable PyArrow’sself_destructfeature in Spark Connect, which can save memory when creating a Pandas DataFrame viatoPandasby freeing Arrow-allocated memory while building the Pandas DataFrame.Why are the changes needed?
Reach parity with vanilla PySpark. The PR is a mirror of #29818 for Spark Connect.
Does this PR introduce any user-facing change?
No.
How was this patch tested?
Unit test.