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https://issues.apache.org/jira/browse/SPARK-44743?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-44743.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 42661
[https://github.com/apache/spark/pull/42661]
> Reflect function behavior different from Hive
> ---------------------------------------------
>
> Key: SPARK-44743
> URL: https://issues.apache.org/jira/browse/SPARK-44743
> Project: Spark
> Issue Type: New Feature
> Components: PySpark, SQL
> Affects Versions: 3.4.1
> Reporter: Nikhil Goyal
> Priority: Major
> Fix For: 4.0.0
>
>
> Spark reflect function will fail if underlying method call throws exception.
> This causes the whole job to fail.
> In Hive however the exception is caught and null is returned. Simple test to
> reproduce the behavior
> {code:java}
> select reflect('java.net.URLDecoder', 'decode', '%') {code}
> The workaround would be to wrap this call in a try
> [https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/CallMethodViaReflection.scala#L136]
> We can support this by adding a new UDF `try_reflect` which mimics the Hive's
> behavior. Please share your thoughts on this.
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