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https://issues.apache.org/jira/browse/SPARK-41827?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-41827:
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Assignee: Apache Spark
> DataFrame.groupBy requires all cols be Column or str
> ----------------------------------------------------
>
> Key: SPARK-41827
> URL: https://issues.apache.org/jira/browse/SPARK-41827
> Project: Spark
> Issue Type: Sub-task
> Components: Connect
> Affects Versions: 3.4.0
> Reporter: Sandeep Singh
> Assignee: Apache Spark
> Priority: Major
>
> {code:java}
> File
> "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py",
> line 302, in pyspark.sql.connect.dataframe.DataFrame.groupBy
> Failed example:
> df.groupBy(["name", df.age]).count().sort("name", "age").show()
> Exception raised:
> Traceback (most recent call last):
> File
> "/usr/local/Cellar/[email protected]/3.10.8/Frameworks/Python.framework/Versions/3.10/lib/python3.10/doctest.py",
> line 1350, in __run
> exec(compile(example.source, filename, "single",
> File "<doctest pyspark.sql.connect.dataframe.DataFrame.groupBy[4]>",
> line 1, in <module>
> df.groupBy(["name", df.age]).count().sort("name", "age").show()
> File
> "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py",
> line 251, in groupBy
> raise TypeError(
> TypeError: groupBy requires all cols be Column or str, but got list
> ['name', Column<'ColumnReference(age)'>]{code}
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