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https://issues.apache.org/jira/browse/FLINK-3322?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15503323#comment-15503323
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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_r79381731
--- Diff:
flink-runtime/src/main/java/org/apache/flink/runtime/operators/util/JoinTaskIterator.java
---
@@ -68,4 +72,9 @@
* method signals an interrupt to that procedure.
*/
void abort();
+
+ /**
+ * Allows to reset the iterator
+ */
+ void reset(MutableObjectIterator<V1> in1, MutableObjectIterator<V2>
in2, TypeSerializer<V1> serializer1, TypeSerializer<V2> serializer2,
TypeComparator<V1> comp1, TypeComparator<V2> comp2,
TypePairComparatorFactory<V1, V2> pairComparatorFactory);
--- End diff --
Ok. I can change them and test once. I found that the inputs are changing
on a reset and hence expected the comparator and serializer also to be fetched
every time.
> 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.)
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