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Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2018/01/30 19:38:00 UTC
[jira] [Resolved] (SPARK-23267) Increase
spark.sql.codegen.hugeMethodLimit to 65535
[ https://issues.apache.org/jira/browse/SPARK-23267?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiao Li resolved SPARK-23267.
-----------------------------
Resolution: Fixed
Fix Version/s: 2.3.0
> Increase spark.sql.codegen.hugeMethodLimit to 65535
> ---------------------------------------------------
>
> Key: SPARK-23267
> URL: https://issues.apache.org/jira/browse/SPARK-23267
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.3.0
> Reporter: Xiao Li
> Assignee: Xiao Li
> Priority: Blocker
> Fix For: 2.3.0
>
>
> Still saw the performance regression introduced by `spark.sql.codegen.hugeMethodLimit` in our internal workloads. There are two major issues in the current solution.
> * The size of the complied byte code is not identical to the bytecode size of the method. The detection is still not accurate.
> * The bytecode size of a single operator (e.g., `SerializeFromObject`) could still exceed 8K limit. We saw the performance regression in such scenario.
> Since it is close to the release of 2.3, we decide to increase it to 64K for avoiding the perf regression.
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