[jira] [Updated] (SPARK-55666) test_join_ambiguous_cols is flaky due to non-deterministic row order

["Yicong Huang (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-55666?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Yicong Huang updated SPARK-55666:
---------------------------------
    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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