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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2022/07/13 00:20:00 UTC

[jira] [Resolved] (SPARK-39729) Why generate WholeStagecodegen for single operator?

     [ https://issues.apache.org/jira/browse/SPARK-39729?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-39729.
----------------------------------
    Resolution: Incomplete

> Why generate WholeStagecodegen for single operator?
> ---------------------------------------------------
>
>                 Key: SPARK-39729
>                 URL: https://issues.apache.org/jira/browse/SPARK-39729
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 3.3.0
>            Reporter: xiangxiang Shen
>            Priority: Major
>
> WholeStagecodegen will have better performance in many cases. But it should not use WholeStagecodegen for single operator.
> Below is a simple experiment.
> {code:java}
> test("range/filter should be combined") {
>     val df = spark.range(10).filter("id = 1").selectExpr("id + 1")
>     val plan = df.queryExecution.executedPlan
>     assert(plan.find(_.isInstanceOf[WholeStageCodegenExec]).isDefined)
>     assert(df.collect() === Array(Row(2)))
>     df.explain(false)
>     df.queryExecution.debug.codegen
>   }{code}
>  
> If add 
> {code:java}
> override def supportCodegen: Boolean = false{code}
>   in FilterExec.
>  
> The physical plan is 
> {code:java}
> == Physical Plan ==
> *(2) Project [(id#0L + 1) AS (id + 1)#4L]
> +- Filter (id#0L = 1)
>    +- *(1) Range (0, 10, step=1, splits=2){code}
>   
> The performence is not good in this case.
> How can disable WholeStagecodegen in these cases?
>  



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