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https://issues.apache.org/jira/browse/SPARK-31945?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17129948#comment-17129948
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Apache Spark commented on SPARK-31945:
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User 'ueshin' has created a pull request for this issue:
https://github.com/apache/spark/pull/28774
> Make more cache enable for Python UDFs.
> ---------------------------------------
>
> Key: SPARK-31945
> URL: https://issues.apache.org/jira/browse/SPARK-31945
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 3.0.0
> Reporter: Takuya Ueshin
> Priority: Major
>
> Currently the cache manager doesn't use the cache for {{udf}} if the {{udf}}
> is created again even if the functions is the same.
> {code:python}
> >>> func = lambda x: x
> >>> df = spark.range(1)
> >>> df.select(udf(func)("id")).cache()
> >>> df.select(udf(func)("id")).explain()
> == Physical Plan ==
> *(2) Project [pythonUDF0#14 AS <lambda>(id)#12]
> +- BatchEvalPython [<lambda>(id#0L)], [pythonUDF0#14]
> +- *(1) Range (0, 1, step=1, splits=12)
> {code}
>
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