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https://issues.apache.org/jira/browse/SPARK-55666?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yicong Huang updated SPARK-55666:
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Summary: test_join_ambiguous_cols is flaky due to non-deterministic row
order (was: [PYTHON][TEST] test_join_ambiguous_cols is flaky due to
non-deterministic row order)
> test_join_ambiguous_cols is flaky due to non-deterministic row order
> --------------------------------------------------------------------
>
> Key: SPARK-55666
> URL: https://issues.apache.org/jira/browse/SPARK-55666
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 4.2.0
> Reporter: Yicong Huang
> Priority: Major
>
> The test {{test_join_ambiguous_cols}} in
> {{python/pyspark/sql/tests/connect/test_connect_basic.py}} uses
> {{assertEqual(cdf.collect(), sdf.collect())}} to compare join results without
> sorting, which can fail non-deterministically because join does not guarantee
> row order.
> Affected assertions (lines 324, 330, 340, 346, 352): all use
> {{assertEqual(x.collect(), y.collect())}} directly.
> Fix: replace with {{assertEqual(sorted(x.collect()), sorted(y.collect()))}}
> for all 5 assertions.
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