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https://issues.apache.org/jira/browse/SPARK-35643?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-35643:
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Assignee: Apache Spark
> Ambiguous variable reference in functions.py column()
> -----------------------------------------------------
>
> Key: SPARK-35643
> URL: https://issues.apache.org/jira/browse/SPARK-35643
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 3.1.2
> Reporter: Keerthan Harish Vasist
> Assignee: Apache Spark
> Priority: Minor
> Labels: bug, pyspark.sql.functions
> Fix For: 3.2.0, 3.1.3
>
> Original Estimate: 12h
> Remaining Estimate: 12h
>
> In functions.py, there is a function added {{def column(col)}}. There is also
> another method in the same file {{def col(col)}}. This leads to some
> ambiguity on whether the parameter is being referred to or the function. In
> pyspark 3.1.2, this leads to {{TypeError: 'str' object is not callable}} when
> the function {{column(col)}} is called - the highest preference is given to
> the string variable in scope as opposed to the function {{col }}in the file
> as intended.
> This PR fixes that ambiguity by changing the variable name to {{col_like}}.
>
> I have already raised a PR to fix the issue -
> https://github.com/apache/spark/pull/32771
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