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Posted to issues@spark.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2025/08/25 22:54:00 UTC
[jira] [Updated] (SPARK-53378) [PYTHON] Enable @udtf decorator to support returnType as first positional argument
[ https://issues.apache.org/jira/browse/SPARK-53378?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
ASF GitHub Bot updated SPARK-53378:
-----------------------------------
Labels: pull-request-available (was: )
> [PYTHON] Enable @udtf decorator to support returnType as first positional argument
> ----------------------------------------------------------------------------------
>
> Key: SPARK-53378
> URL: https://issues.apache.org/jira/browse/SPARK-53378
> Project: Spark
> Issue Type: New Feature
> Components: PySpark
> Affects Versions: 4.1.0
> Reporter: Shujing Yang
> Priority: Major
> Labels: pull-request-available
>
> Currently, the @udtf decorator only supports returnType as a keyword-only argument. This PR enables @udtf to accept returnType as the first positional argument.
>
> ```
> # Current - only keyword argument supported
> @udtf(returnType="c1: int, c2: string")
> class MyUDTF:
> def eval(self, x):
> yield x, x + 1
> # Current - bare decorator only works with analyze method
> @udtf
> class MyUDTF:
> @staticmethod
> def analyze():
> return AnalyzeResult(StructType().add("c1", IntegerType()))
> def eval(self, x):
> yield x
> After This Change
> # New - positional string schema
> @udtf("c1: int, c2: string")
> class MyUDTF:
> def eval(self, x):
> yield x, x + 1
> # New - positional StructType
> @udtf(StructType().add("c1", IntegerType()).add("c2", IntegerType()))
> class MyUDTF:
> def eval(self, x):
> yield x, x + 1
> ```
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