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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/06/11 21:44:00 UTC
[jira] [Commented] (SPARK-24524) Improve aggregateMetrics: less
memory usage and loops
[ https://issues.apache.org/jira/browse/SPARK-24524?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16508811#comment-16508811 ]
Apache Spark commented on SPARK-24524:
--------------------------------------
User 'gengliangwang' has created a pull request for this issue:
https://github.com/apache/spark/pull/21532
> 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
>
> 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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