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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2019/10/08 05:44:13 UTC
[jira] [Resolved] (SPARK-24524) Improve aggregateMetrics: less
memory usage and loops
[ https://issues.apache.org/jira/browse/SPARK-24524?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-24524.
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Resolution: Incomplete
> Improve aggregateMetrics: less memory usage and loops
> -----------------------------------------------------
>
> Key: SPARK-24524
> URL: https://issues.apache.org/jira/browse/SPARK-24524
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.3.1
> Reporter: Gengliang Wang
> Priority: Major
> Labels: bulk-closed
>
> The function `aggregateMetrics` process metrics from both executors and driver. The data can be large.
> This PR is to improve the implementation with one loop(before converting to string) and one dynamic data structure.
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