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Apache Spark commented on SPARK-20776: -------------------------------------- User 'JoshRosen' has created a pull request for this issue: https://github.com/apache/spark/pull/18008 > Fix performance problems in TaskMetrics.nameToAccums map initialization > ----------------------------------------------------------------------- > > Key: SPARK-20776 > URL: https://issues.apache.org/jira/browse/SPARK-20776 > Project: Spark > Issue Type: Improvement > Components: Spark Core > Affects Versions: 2.2.0 > Reporter: Josh Rosen > Assignee: Josh Rosen > Attachments: screenshot-1.png > > > In > {code} > ./bin/spark-shell --master=local[64] > {code} > I ran > {code} > sc.parallelize(1 to 100000, 100000).count() > {code} > and profiled the time spend in the LiveListenerBus event processing thread. I > discovered that the majority of the time was being spent initializing the > {{TaskMetrics.nameToAccums}} map (see attached screenshot). By replacing the > use of Scala's LinkedHashMap with a pre-sized Java hashmap I was able to > remove this bottleneck and prevent dropped listener events. -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org