[ https://issues.apache.org/jira/browse/SPARK-27499?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16860598#comment-16860598 ]
Dongjoon Hyun edited comment on SPARK-27499 at 6/11/19 7:42 AM: ---------------------------------------------------------------- No, I think you didn't read the patch of that, [~junjie]. Could you read the patch? You can start from the following line. - https://github.com/apache/spark/pull/21238/files#diff-529fc5c06b9731c1fbda6f3db60b16aaR458 Also, please see the following `PVTestsSuite` test case. - https://github.com/apache/spark/blob/master/resource-managers/kubernetes/integration-tests/src/test/scala/org/apache/spark/deploy/k8s/integrationtest/PVTestsSuite.scala was (Author: dongjoon): No, I think you didn't read the patch of that, [~junjie]. Could you read the patch? You can start from the following line. - https://github.com/apache/spark/pull/21238/files#diff-529fc5c06b9731c1fbda6f3db60b16aaR458 Also, please see the test case. > Support mapping spark.local.dir to hostPath volume > -------------------------------------------------- > > Key: SPARK-27499 > URL: https://issues.apache.org/jira/browse/SPARK-27499 > Project: Spark > Issue Type: Improvement > Components: Kubernetes > Affects Versions: 3.0.0 > Reporter: Junjie Chen > Priority: Minor > Fix For: 2.4.0 > > > Currently, the k8s executor builder mount spark.local.dir as emptyDir or > memory, it should satisfy some small workload, while in some heavily workload > like TPCDS, both of them can have some problem, such as pods are evicted due > to disk pressure when using emptyDir, and OOM when using tmpfs. > In particular on cloud environment, users may allocate cluster with minimum > configuration and add cloud storage when running workload. In this case, we > can specify multiple elastic storage as spark.local.dir to accelerate the > spilling. -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org