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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2023/01/05 08:20:00 UTC
[jira] [Assigned] (SPARK-41827) DataFrame.groupBy requires all cols be Column or str
[ https://issues.apache.org/jira/browse/SPARK-41827?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-41827:
------------------------------------
Assignee: (was: 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
> 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/python@3.10/3.10.8/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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