[ https://issues.apache.org/jira/browse/SPARK-10543?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Andrew Or resolved SPARK-10543. ------------------------------- Resolution: Fixed Assignee: Sen Fang Fix Version/s: 1.5.1 1.6.0 Target Version/s: 1.6.0, 1.5.1 > Peak Execution Memory Quantile should be Per-task Basis > ------------------------------------------------------- > > Key: SPARK-10543 > URL: https://issues.apache.org/jira/browse/SPARK-10543 > Project: Spark > Issue Type: Bug > Components: Spark Core > Affects Versions: 1.5.0 > Reporter: Sen Fang > Assignee: Sen Fang > Priority: Minor > Fix For: 1.6.0, 1.5.1 > > > Currently the Peak Execution Memory quantiles seem to be cumulative rather > than per task basis. For example, I have seen a value of 2TB in one of my > jobs on the quantile metric but each individual task shows less than 1GB on > the bottom table. > [~andrewor14] In your PR https://github.com/apache/spark/pull/7770, the > screenshot shows the Max Peak Execution Memory of 792.5KB while in the bottom > it's about 50KB per task (unless your workload is skewed) > The fix seems straightforward that we use the `update` rather than `value` > from the accumulable. I'm happy to provide a PR if people agree this is the > right behavior. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org