[jira] [Updated] (SPARK-42017) df["bad_key"] does not raise AnalysisException

["Takuya Ueshin (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-42017?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Takuya Ueshin updated SPARK-42017:
----------------------------------
    Summary: df["bad_key"] does not raise AnalysisException  (was: Different error type AnalysisException vs SparkConnectAnalysisException)

> df["bad_key"] does not raise AnalysisException
> ----------------------------------------------
>
>                 Key: SPARK-42017
>                 URL: https://issues.apache.org/jira/browse/SPARK-42017
>             Project: Spark
>          Issue Type: Sub-task
>          Components: Connect, Tests
>    Affects Versions: 3.4.0
>            Reporter: Hyukjin Kwon
>            Priority: Major
>
> e.g.)
> {code}
> 23/01/12 14:33:43 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
> Setting default log level to "WARN".
> To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
> FAILED [  8%]
> pyspark/sql/tests/test_column.py:105 (ColumnParityTests.test_access_column)
> self = <pyspark.sql.tests.connect.test_parity_column.ColumnParityTests testMethod=test_access_column>
>     def test_access_column(self):
>         df = self.df
>         self.assertTrue(isinstance(df.key, Column))
>         self.assertTrue(isinstance(df["key"], Column))
>         self.assertTrue(isinstance(df[0], Column))
>         self.assertRaises(IndexError, lambda: df[2])
> >       self.assertRaises(AnalysisException, lambda: df["bad_key"])
> E       AssertionError: AnalysisException not raised by <lambda>
> ../test_column.py:112: AssertionError
> {code}



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