[SPARK-43967][SQL][PYTHON] Add memory limits for Python UDTF analyzer #42328
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zhengruifeng
approved these changes
Aug 4, 2023
HyukjinKwon
approved these changes
Aug 4, 2023
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merged to master there is merge conflict, seems need a separate PR for 3.5 (if needed) @ueshin |
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oh, this config is added since version("4.0.0"), ignore ^ |
ragnarok56
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Mar 2, 2024
### What changes were proposed in this pull request? Adds memory limits for Python UDTF analyzer. - `spark.sql.analyzer.pythonUDTF.analyzeInPython.memory` (`None` by default) > The amount of memory to be allocated to PySpark for Python UDTF analyzer, in MiB unless otherwise specified. If set, PySpark memory for Python UDTF analyzer will be limited to this amount. If not set, Spark will not limit Python's memory use and it is up to the application to avoid exceeding the overhead memory space shared with other non-JVM processes. Note: Windows does not support resource limiting and actual resource is not limited on MacOS. ### Why are the changes needed? Python UDTF analyzer should be able to set a memory limit. ### Does this PR introduce _any_ user-facing change? Users will be able to set the memory limit for Python UDTF analyzer. ### How was this patch tested? Existing tests. Closes apache#42328 from ueshin/issues/SPARK-44648/memory_limits. Authored-by: Takuya UESHIN <ueshin@databricks.com> Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
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What changes were proposed in this pull request?
Adds memory limits for Python UDTF analyzer.
spark.sql.analyzer.pythonUDTF.analyzeInPython.memory(Noneby default)Why are the changes needed?
Python UDTF analyzer should be able to set a memory limit.
Does this PR introduce any user-facing change?
Users will be able to set the memory limit for Python UDTF analyzer.
How was this patch tested?
Existing tests.