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Posted to issues@spark.apache.org by "Takeshi Yamamuro (JIRA)" <ji...@apache.org> on 2018/04/23 06:21:02 UTC

[jira] [Commented] (SPARK-24043) InterpretedPredicate.eval fails if expression tree contains Nondeterministic expressions

    [ https://issues.apache.org/jira/browse/SPARK-24043?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16447614#comment-16447614 ] 

Takeshi Yamamuro commented on SPARK-24043:
------------------------------------------

I tried this in the master and v2.3 though, the issue didn't happen there. Do I miss any precondition?

> InterpretedPredicate.eval fails if expression tree contains Nondeterministic expressions
> ----------------------------------------------------------------------------------------
>
>                 Key: SPARK-24043
>                 URL: https://issues.apache.org/jira/browse/SPARK-24043
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.3.0
>            Reporter: Bruce Robbins
>            Priority: Minor
>
> When whole-stage codegen and predicate codegen both fail, FilterExec falls back to using InterpretedPredicate. If the predicate's expression contains any non-deterministic expressions, the evaluation throws an error:
> {noformat}
> scala> val df = Seq((1)).toDF("a")
> df: org.apache.spark.sql.DataFrame = [a: int]
> scala> df.filter('a > 0).show // this works fine
> 2018-04-21 20:39:26 WARN  FilterExec:66 - Codegen disabled for this expression:
>  (value#1 > 0)
> +---+
> |  a|
> +---+
> |  1|
> +---+
> scala> df.filter('a > rand(7)).show // this will throw an error
> 2018-04-21 20:39:40 WARN  FilterExec:66 - Codegen disabled for this expression:
>  (cast(value#1 as double) > rand(7))
> 2018-04-21 20:39:40 ERROR Executor:91 - Exception in task 0.0 in stage 1.0 (TID 1)
> java.lang.IllegalArgumentException: requirement failed: Nondeterministic expression org.apache.spark.sql.catalyst.expressions.Rand should be initialized before eval.
> 	at scala.Predef$.require(Predef.scala:224)
> 	at org.apache.spark.sql.catalyst.expressions.Nondeterministic$class.eval(Expression.scala:326)
> 	at org.apache.spark.sql.catalyst.expressions.RDG.eval(randomExpressions.scala:34)
> {noformat}
> This is because no code initializes the Nondeterministic expressions before eval is called on them.
> This is a low impact issue, since it would require both whole-stage codegen and predicate codegen to fail before FilterExec would fall back to using InterpretedPredicate.



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