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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2023/11/23 04:36:00 UTC

[jira] [Updated] (SPARK-46063) Improve error messages related to argument types in cute, rollup, groupby, and pivot

     [ https://issues.apache.org/jira/browse/SPARK-46063?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-46063:
---------------------------------
    Summary: Improve error messages related to argument types in cute, rollup, groupby, and pivot  (was: Improve error messages related to argument types in cute, rollup, and pivot)

> Improve error messages related to argument types in cute, rollup, groupby, and pivot
> ------------------------------------------------------------------------------------
>
>                 Key: SPARK-46063
>                 URL: https://issues.apache.org/jira/browse/SPARK-46063
>             Project: Spark
>          Issue Type: Improvement
>          Components: Connect, PySpark
>    Affects Versions: 4.0.0
>            Reporter: Hyukjin Kwon
>            Priority: Minor
>
> {code}
> >>> spark.range(1).cube(cols=1.2)
> Traceback (most recent call last):
>   File "<stdin>", line 1, in <module>
>   File "/.../python/pyspark/sql/connect/dataframe.py", line 544, in cube
>     raise PySparkTypeError(
> pyspark.errors.exceptions.base.PySparkTypeError: [NOT_COLUMN_OR_STR] Argument `cube` should be a Column or str, got float.
> {code}
> ```
> Help on method cube in module pyspark.sql.connect.dataframe:
> cube(*cols: 'ColumnOrName') -> 'GroupedData' method of pyspark.sql.connect.dataframe.DataFrame instance
>     Create a multi-dimensional cube for the current :class:`DataFrame` using
>     the specified columns, allowing aggregations to be performed on them.
>     .. versionadded:: 1.4.0
>     .. versionchanged:: 3.4.0
> ```
> it has to be {cols}



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