[jira] [Reopened] (SPARK-42965) metadata mismatch for StructField when running some tests.

["Ruifeng Zheng (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-42965?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Ruifeng Zheng reopened SPARK-42965:
-----------------------------------
      Assignee:     (was: Ruifeng Zheng)

> metadata mismatch for StructField when running some tests.
> ----------------------------------------------------------
>
>                 Key: SPARK-42965
>                 URL: https://issues.apache.org/jira/browse/SPARK-42965
>             Project: Spark
>          Issue Type: Improvement
>          Components: Connect, Pandas API on Spark
>    Affects Versions: 3.5.0
>            Reporter: Haejoon Lee
>            Priority: Major
>             Fix For: 4.0.0
>
>
> For some reason, the metadata of `StructField` is different in a few tests when using Spark Connect. However, the function works properly.
> For example, when running `python/run-tests --testnames 'pyspark.pandas.tests.connect.data_type_ops.test_parity_binary_ops BinaryOpsParityTests.test_add'` it complains `AssertionError: ([InternalField(dtype=int64, struct_field=StructField('bool', LongType(), False))], [StructField('bool', LongType(), False)])` because metadata is different something like `\{'__autoGeneratedAlias': 'true'}` but they have same name, type and nullable, so the function just works well.
> Therefore, we have temporarily added a branch for Spark Connect in the code so that we can create InternalFrame properly to provide more pandas APIs in Spark Connect. If a clear cause is found, we may need to revert it back to its original state.



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