[ https://issues.apache.org/jira/browse/SPARK-44479?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Takuya Ueshin resolved SPARK-44479. ----------------------------------- Assignee: Takuya Ueshin Resolution: Fixed Issue resolved by pull request 42161 https://github.com/apache/spark/pull/42161 > Support Python UDTFs with empty schema > -------------------------------------- > > Key: SPARK-44479 > URL: https://issues.apache.org/jira/browse/SPARK-44479 > Project: Spark > Issue Type: Sub-task > Components: PySpark > Affects Versions: 3.5.0 > Reporter: Takuya Ueshin > Assignee: Takuya Ueshin > Priority: Major > > Support UDTFs with empty schema, for example: > {code:python} > >>> class TestUDTF: > ... def eval(self): > ... yield tuple() > {code} > Currently it fails with `useArrow=True`: > {code:python} > >>> udtf(TestUDTF, returnType=StructType())().collect() > Traceback (most recent call last): > ... > ValueError: not enough values to unpack (expected 2, got 0) > {code} > whereas without Arrow: > {code:python} > >>> udtf(TestUDTF, returnType=StructType(), useArrow=False)().collect() > [Row()] > {code} > Otherwise, we should raise an error without Arrow, too, to be consistent. -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org