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https://issues.apache.org/jira/browse/SPARK-58058?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-58058.
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Fix Version/s: 4.3.0
Assignee: Hyukjin Kwon
Resolution: Fixed
Fixed in https://github.com/apache/spark/pull/57155
> Split slow PySpark test suites into smaller modules
> ---------------------------------------------------
>
> Key: SPARK-58058
> URL: https://issues.apache.org/jira/browse/SPARK-58058
> Project: Spark
> Issue Type: Test
> Components: PySpark
> Affects Versions: 5.0.0
> Reporter: Hyukjin Kwon
> Assignee: Hyukjin Kwon
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.3.0
>
>
> Several PySpark test suites are slow in CI. This splits them into smaller
> modules so they run as separate test targets and parallelize better, reducing
> wall-clock time. No test logic is changed; test methods are only relocated,
> following the existing convention already used in the repo (e.g.
> test_split_apply_*, test_stat_*).
> Suites split (each with a matching Spark Connect parity module):
> - pyspark.sql.tests.pandas.test_pandas_cogrouped_map -> *_misc
> - pyspark.sql.tests.arrow.test_arrow_cogrouped_map -> *_misc
> - pyspark.pandas.tests.data_type_ops.test_num_ops -> *_integral_ext,
> *_fractional_ext
> - pyspark.pandas.tests.groupby.test_stat -> test_stat_median
> - pyspark.pandas.tests.groupby.test_split_apply -> test_split_apply_mean
> New modules are registered in dev/sparktestsupport/modules.py.
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