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Posted to issues@spark.apache.org by "Liang-Chi Hsieh (Jira)" <ji...@apache.org> on 2019/09/16 19:01:00 UTC
[jira] [Assigned] (SPARK-29100) Codegen with switch in InSet
expression causes compilation error
[ https://issues.apache.org/jira/browse/SPARK-29100?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Liang-Chi Hsieh reassigned SPARK-29100:
---------------------------------------
Assignee: Liang-Chi Hsieh
> Codegen with switch in InSet expression causes compilation error
> ----------------------------------------------------------------
>
> Key: SPARK-29100
> URL: https://issues.apache.org/jira/browse/SPARK-29100
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Liang-Chi Hsieh
> Assignee: Liang-Chi Hsieh
> Priority: Major
>
> SPARK-26205 adds an optimization to InSet that generates Java switch condition for certain cases. When the given set is empty, it is possibly that codegen causes compilation error:
>
> [info] - SPARK-29100: InSet with empty input set *** FAILED *** (58 milliseconds)
> [info] Code generation of input[0, int, true] INSET () failed:
> [info] org.codehaus.janino.InternalCompilerException: failed to compile: org.codehaus.janino.InternalCompilerException: Compiling "GeneratedClass" in "generated.java": Compiling "apply(java.lang.Object _i)"; apply(java.lang.Object _i): Operand stack inconsistent at offset 45: Previous size 0, now 1
> [info] org.codehaus.janino.InternalCompilerException: failed to compile: org.codehaus.janino.InternalCompilerException: Compiling "GeneratedClass" in "generated.java": Compiling "apply(java.lang.Object _i)"; apply(java.lang.Object _i): Operand stack inconsistent at offset 45: Previous size 0, now 1
> [info] at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$.org$apache$spark$sql$catalyst$expressions$codegen$CodeGenerator$$doCompile(CodeGenerator.scala:1308)
> [info] at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$$anon$1.load(CodeGenerator.scala:1386)
> [info] at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$$anon$1.load(CodeGenerator.scala:1383)
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