[jira] [Resolved] (SPARK-23233) asNondeterministic in Python UDF not being set when the UDF is called at least once

["Xiao Li (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-23233?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiao Li resolved SPARK-23233.
-----------------------------
       Resolution: Fixed
         Assignee: Hyukjin Kwon
    Fix Version/s: 2.3.0

> asNondeterministic in Python UDF not being set when the UDF is called at least once
> -----------------------------------------------------------------------------------
>
>                 Key: SPARK-23233
>                 URL: https://issues.apache.org/jira/browse/SPARK-23233
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark, SQL
>    Affects Versions: 2.3.0
>            Reporter: Hyukjin Kwon
>            Assignee: Hyukjin Kwon
>            Priority: Major
>             Fix For: 2.3.0
>
>
> With this diff
> {code}
> diff --git a/python/pyspark/sql/udf.py b/python/pyspark/sql/udf.py
> index de96846c5c7..026a78bf547 100644
> --- a/python/pyspark/sql/udf.py
> +++ b/python/pyspark/sql/udf.py
> @@ -180,6 +180,7 @@ class UserDefinedFunction(object):
>          wrapper.deterministic = self.deterministic
>          wrapper.asNondeterministic = functools.wraps(
>              self.asNondeterministic)(lambda: self.asNondeterministic()._wrapped())
> +        wrapper._unwrapped = lambda: self
>          return wrapper
>      def asNondeterministic(self):
> {code}
> {code:java}
> >>> from pyspark.sql.functions import udf
> >>> f = udf(lambda x: x)
> >>> spark.range(1).select(f("id"))
> DataFrame[<lambda>(id): string]
> >>> f._unwrapped()._judf_placeholder.udfDeterministic()
> True
> >>> ndf = f.asNondeterministic()
> >>> ndf.deterministic
> False
> >>> spark.range(1).select(ndf("id"))
> DataFrame[<lambda>(id): string]
> >>> ndf._unwrapped()._judf_placeholder.udfDeterministic()
> True
> {code}
> Seems we don't actually update the {{deterministic}} once it's called due to cache in Python side. 



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