You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2022/12/28 12:04:00 UTC
[jira] [Updated] (SPARK-41742) Support star in groupBy.agg()
[ https://issues.apache.org/jira/browse/SPARK-41742?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-41742:
---------------------------------
Description:
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
was:
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 "/Users/hyukjin.kwon/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 "/Users/hyukjin.kwon/workspace/forked/spark/python/pyspark/sql/connect/dataframe.py", line 538, in show
print(self._show_string(n, truncate, vertical))
File "/Users/hyukjin.kwon/workspace/forked/spark/python/pyspark/sql/connect/dataframe.py", line 424, in _show_string
pdf = DataFrame.withPlan(
File "/Users/hyukjin.kwon/workspace/forked/spark/python/pyspark/sql/connect/dataframe.py", line 895, in toPandas
return self._session.client._to_pandas(query)
File "/Users/hyukjin.kwon/workspace/forked/spark/python/pyspark/sql/connect/client.py", line 333, in _to_pandas
return self._execute_and_fetch(req)
File "/Users/hyukjin.kwon/workspace/forked/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 "/Users/hyukjin.kwon/miniconda3/envs/python3.9/lib/python3.9/site-packages/grpc/_channel.py", line 426, in __next__
return self._next()
File "/Users/hyukjin.kwon/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
> 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
>
> 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
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org