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https://issues.apache.org/jira/browse/SPARK-31312?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17073407#comment-17073407
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Dongjoon Hyun commented on SPARK-31312:
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It's for informimg the users (and the downstream distributors) the risk and to
recommend upgrade their versions. If we set 2.4.5 only, that can be also
considered as a bug occurred at 2.4.5 .
If we set 2.3.x at least, all 2.4.0 ~ 2.4.4 users also understand the risk.
> Transforming Hive simple UDF (using JAR) expression may incur CNFE in later
> evaluation
> --------------------------------------------------------------------------------------
>
> Key: SPARK-31312
> URL: https://issues.apache.org/jira/browse/SPARK-31312
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.4.5, 3.0.0
> Reporter: Jungtaek Lim
> Assignee: Jungtaek Lim
> Priority: Major
> Fix For: 3.0.0, 2.4.6
>
>
> In SPARK-26560, we ensured that Hive UDF using JAR is executed regardless of
> current thread context classloader.
> [~cloud_fan] pointed out another potential issue in post-review of
> SPARK-26560 - quoting the comment:
> {quote}
> Found a potential problem: here we call HiveSimpleUDF.dateType (which is a
> lazy val), to force to load the class with the corrected class loader.
> However, if the expression gets transformed later, which copies
> HiveSimpleUDF, then calling HiveSimpleUDF.dataType will re-trigger the class
> loading, and at that time there is no guarantee that the corrected
> classloader is used.
> I think we should materialize the loaded class in HiveSimpleUDF.
> {quote}
> This JIRA issue is to track the effort of verifying the potential issue and
> fixing the issue.
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