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https://issues.apache.org/jira/browse/DRILL-8088?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17468072#comment-17468072
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ASF GitHub Bot commented on DRILL-8088:
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jnturton commented on pull request #2412:
URL: https://github.com/apache/drill/pull/2412#issuecomment-1004186672
@luocooong @paul-rogers I've always thought of Drill's code gen as being an
effort to present a good target for the JVM's auto-vectorisation. Not that
this is likely to get the same results as the new SIMD intrinsics in the JVM,
or a nice way to code. Is this on the mark? A reference:
https://cr.openjdk.java.net/~vlivanov/talks/2019_CodeOne_MTE_Vectors.pdf
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> Improve expression evaluation performance
> -----------------------------------------
>
> Key: DRILL-8088
> URL: https://issues.apache.org/jira/browse/DRILL-8088
> Project: Apache Drill
> Issue Type: Improvement
> Components: Execution - Codegen
> Reporter: wtf
> Assignee: wtf
> Priority: Minor
>
> Found unnecessary map copy when doing expression evaluation, it will slow
> down the codegen when the query include many "case when" or avg/stddev(the
> reduced expressions include "case when"). In our case, the query include 314
> avg, it takes 3+ seconds to generate the projector expressions(Intel(R)
> Xeon(R) CPU E5-2682 v4 @ 2.50GHz 32cores).
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