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https://issues.apache.org/jira/browse/SPARK-42822?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-42822:
---------------------------------
Summary: Ambiguous reference for case-insensitive grouping column in
groupby. applyInPandas (was: Ambiguous reference for case-insensitive grouping
column )
> Ambiguous reference for case-insensitive grouping column in groupby.
> applyInPandas
> ----------------------------------------------------------------------------------
>
> Key: SPARK-42822
> URL: https://issues.apache.org/jira/browse/SPARK-42822
> Project: Spark
> Issue Type: Task
> Components: Connect, PySpark
> Affects Versions: 3.4.0, 3.5.0
> Reporter: Xinrong Meng
> Priority: Major
>
> Ambiguous reference for case-insensitive grouping column, as shown below:
> {code:sh}
> >>> df = spark.createDataFrame([[1, 1]], ["column", "score"])
> >>> def my_pandas_udf(pdf):
> ... return pdf.assign(score=0.5)
> ...
> >>> df.groupby("COLUMN").applyInPandas(my_pandas_udf, schema="column integer,
> >>> score float").first()
> 23/03/16 10:18:23 ERROR SparkConnectService: Error during: execute
> org.apache.spark.sql.AnalysisException: [AMBIGUOUS_REFERENCE] Reference
> `column` is ambiguous, could be: [`column`, `column`].
> {code}
> Relevant change in PySpark legacy API:
> https://github.com/apache/spark/pull/28777/files#diff-32b043dfe6b906fb2b240e8557f98b03a648ba792ce58d11b631744b34bcea71
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