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https://issues.apache.org/jira/browse/SPARK-47780?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-47780:
-----------------------------------
    Labels: pull-request-available  (was: )

> Generate stable and uniquely-named classes in the Catalyst code generator
> -------------------------------------------------------------------------
>
>                 Key: SPARK-47780
>                 URL: https://issues.apache.org/jira/browse/SPARK-47780
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 3.5.1
>            Reporter: Vojin Jovanovic
>            Priority: Minor
>              Labels: pull-request-available
>
> Code generated by Catalyst can not be executed on [GraalVM Native 
> Image|https://www.graalvm.org/] for the following two reasons:
>  # The generated classes for Scala UDFs are not stable so they can not be 
> [pre-defined in a native 
> image|https://www.graalvm.org/latest/reference-manual/native-image/metadata/ExperimentalAgentOptions/#support-for-predefined-classes].
>  The instability comes from the address of hidden functions 
> ({{{}/0x<address>{}}}) that [end up in the generated 
> code|https://github.com/apache/spark/blob/v3.5.1/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/ScalaUDF.scala#L1173].
>   These addresses are completely random and therefore provide little value to 
> the end user. 
>  # The name of the generated class is always the same 
> ({{{}org.apache.spark.sql.catalyst.expressions.GeneratedClass{}}}) which 
> makes it impossible to [pre-define multiple such classes in a native 
> image|https://github.com/oracle/graal/blob/vm-ce-23.1.2/substratevm/src/com.oracle.svm.hosted/src/com/oracle/svm/hosted/ClassPredefinitionFeature.java#L153].
>   We can fix this by generating the class name in the following format: 
> {{{}org.apache.spark.sql.catalyst.expressions.GeneratedClass$<codeHash>{}}}.
> It would be useful enable Spark workloads on GraalVM Native Image. With 
> Native Image, one can generate low-memory Spark binaries for their frequent 
> workloads. We would also like to make all Spark benchmarks in the 
> [renaissance benchmark suite|https://renaissance.dev/] run as native images.



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