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https://issues.apache.org/jira/browse/SPARK-41742?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Ruifeng Zheng resolved SPARK-41742.
-----------------------------------
Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 39298
[https://github.com/apache/spark/pull/39298]
> Support star in groupBy.agg()
> -----------------------------
>
> Key: SPARK-41742
> URL: https://issues.apache.org/jira/browse/SPARK-41742
> Project: Spark
> Issue Type: Sub-task
> Components: Connect
> Affects Versions: 3.4.0
> Reporter: Hyukjin Kwon
> Priority: Major
> Fix For: 3.4.0
>
>
> Doctest in {{pyspark.sql.connect.group.GroupedData.agg}} fails with the error
> below:
> {code}
> Failed example:
> df.groupBy(df.name).agg({"*": "count"}).sort("name").show()
> Exception raised:
> Traceback (most recent call last):
> File "/.../miniconda3/envs/python3.9/lib/python3.9/doctest.py", line
> 1336, in __run
> exec(compile(example.source, filename, "single",
> File "<doctest pyspark.sql.connect.group.GroupedData.agg[4]>", line 1,
> in <module>
> df.groupBy(df.name).agg({"*": "count"}).sort("name").show()
> File "/.../spark/python/pyspark/sql/connect/dataframe.py", line 538, in
> show
> print(self._show_string(n, truncate, vertical))
> File "/.../spark/python/pyspark/sql/connect/dataframe.py", line 424, in
> _show_string
> pdf = DataFrame.withPlan(
> File "/.../spark/python/pyspark/sql/connect/dataframe.py", line 895, in
> toPandas
> return self._session.client._to_pandas(query)
> File "/.../spark/python/pyspark/sql/connect/client.py", line 333, in
> _to_pandas
> return self._execute_and_fetch(req)
> File "/.../spark/python/pyspark/sql/connect/client.py", line 421, in
> _execute_and_fetch
> for b in self._stub.ExecutePlan(req,
> metadata=self._builder.metadata()):
> File
> "/.../miniconda3/envs/python3.9/lib/python3.9/site-packages/grpc/_channel.py",
> line 426, in __next__
> return self._next()
> File
> "/.../miniconda3/envs/python3.9/lib/python3.9/site-packages/grpc/_channel.py",
> line 826, in _next
> raise self
> grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC
> that terminated with:
> status = StatusCode.UNKNOWN
> details = "[UNRESOLVED_COLUMN.WITH_SUGGESTION] A column or function
> parameter with name `*` cannot be resolved. Did you mean one of the
> following? [`age`, `name`];
> 'Sort ['name DESC NULLS LAST], true
> +- 'Aggregate [name#26], [name#26, unresolvedalias('count('*), None)]
> +- Project [0#21L AS age#25L, 1#22 AS name#26]
> +- LocalRelation [0#21L, 1#22]
> "
> debug_error_string = "UNKNOWN:Error received from peer
> ipv6:%5B::1%5D:15002 {created_time:"2022-12-28T20:55:38.30791+09:00",
> grpc_status:2, grpc_message:"[UNRESOLVED_COLUMN.WITH_SUGGESTION] A column or
> function parameter with name `*` cannot be resolved. Did you mean one of the
> following? [`age`, `name`];\n\'Sort [\'name DESC NULLS LAST], true\n+-
> \'Aggregate [name#26], [name#26, unresolvedalias(\'count(\'*), None)]\n +-
> Project [0#21L AS age#25L, 1#22 AS name#26]\n +- LocalRelation [0#21L,
> 1#22]\n"}"
> {code}
> We should enable this back after fixing the issue in Spark Connect
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