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ASF GitHub Bot commented on FLINK-3322: --------------------------------------- Github user ramkrish86 commented on a diff in the pull request: https://github.com/apache/flink/pull/2510#discussion_r79382231 --- Diff: flink-runtime/src/main/java/org/apache/flink/runtime/operators/resettable/AbstractBlockResettableIterator.java --- @@ -183,4 +183,24 @@ protected T getNextRecord() throws IOException { } } + public void resetForIterativeTasks() { --- End diff -- The already existing 'reset' tries to reset with in the logic of iteration. `this.readView.setReadPosition(0); this.numRecordsReturned = 0;` But it does not put back the fullSegments back to the emptySegment. We need a much enhanced reset version. Hence I did not want to change the available one and hence added a new one. WDYT? > MemoryManager creates too much GC pressure with iterative jobs > -------------------------------------------------------------- > > Key: FLINK-3322 > URL: https://issues.apache.org/jira/browse/FLINK-3322 > Project: Flink > Issue Type: Bug > Components: Local Runtime > Affects Versions: 1.0.0 > Reporter: Gabor Gevay > Assignee: ramkrishna.s.vasudevan > Priority: Critical > Fix For: 1.0.0 > > Attachments: FLINK-3322.docx, FLINK-3322_reusingmemoryfordrivers.docx > > > When taskmanager.memory.preallocate is false (the default), released memory > segments are not added to a pool, but the GC is expected to take care of > them. This puts too much pressure on the GC with iterative jobs, where the > operators reallocate all memory at every superstep. > See the following discussion on the mailing list: > http://apache-flink-mailing-list-archive.1008284.n3.nabble.com/Memory-manager-behavior-in-iterative-jobs-tt10066.html > Reproducing the issue: > https://github.com/ggevay/flink/tree/MemoryManager-crazy-gc > The class to start is malom.Solver. If you increase the memory given to the > JVM from 1 to 50 GB, performance gradually degrades by more than 10 times. > (It will generate some lookuptables to /tmp on first run for a few minutes.) > (I think the slowdown might also depend somewhat on > taskmanager.memory.fraction, because more unused non-managed memory results > in rarer GCs.) -- This message was sent by Atlassian JIRA (v6.3.4#6332)