[ https://issues.apache.org/jira/browse/SPARK-31812?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17115820#comment-17115820 ]
Mohammad Islam edited comment on SPARK-31812 at 5/25/20, 8:45 AM: ------------------------------------------------------------------ If there is a value, I would like to contribute the patch. Can someone from PMC/committer please assign it to me? was (Author: kamrul): I have a patch and I would like to contribute. Can someone from PMC/committer please assign it to me? > Spark to support the auto cancelation of delegation token when an Application > completes > --------------------------------------------------------------------------------------- > > Key: SPARK-31812 > URL: https://issues.apache.org/jira/browse/SPARK-31812 > Project: Spark > Issue Type: Improvement > Components: Spark Submit > Affects Versions: 2.4.5 > Reporter: Mohammad Islam > Priority: Major > > *Context* : > YARN application provides a client API > [setCancelTokensWhenComplete|http://hadoop.apache.org/docs/r2.8.0/hadoop-yarn/hadoop-yarn-api/apidocs/org/apache/hadoop/yarn/api/records/ApplicationSubmissionContext.html#setCancelTokensWhenComplete(boolean)] > to manage the delegation token(DT) lifecycle. By default, YARN [cancels the > DT|https://github.com/apache/hadoop/blob/8f78aeb2500011e568929b585ed5b0987355f88d/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-api/src/main/proto/yarn_protos.proto#L513] > when App finishes. However, the user can override this NOT to cancel the DT > after the App completes. In some instances, this is required to lessen the > HDFS/KMS memory footprints by reducing the outstanding DTs. > MR and TEZ already allow that through client config such as > _mapreduce.job.complete.cancel.delegation.tokens_ and > _tez.cancel.delegation.tokens.on.completion_ respectively_._ > *Proposal* : > Currently, Spark doesn't support it. However, we may need to manage the > lifecycle of DT outside YARN/Spark framework. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org