Actually, you ran out of "Flink Managed Memory", not user memory. User memory shortage manifests itself as Java OutofMemoryError.
At this point, the Delta iterations cannot spill. They additionally suffer a bit from memory fragmentation. A possible workaround is to use the option "setSolutionSetUnmanaged(true)" on the iteration. That will eliminate the fragmentation issue, at least. Stephan On Thu, Aug 20, 2015 at 12:06 PM, Andra Lungu <lungu.an...@gmail.com> wrote: > Hi Flavio, > > These kinds of exceptions generally arise from the fact that you ran out > of `user` memory. You can try to increase that a bit. > In your flink-conf.yaml try adding > # The memory fraction allocated system -user > taskmanager.memory.fraction: 0.4 > > This will give 0.6 of the unit of memory to the user and 0.4 to the system. > > Tell me if that helped. > Andra > > On Thu, Aug 20, 2015 at 12:02 PM, Flavio Pompermaier <pomperma...@okkam.it > > wrote: > >> Hi to all, >> >> I tried to run my gelly job on Flink 0.9-SNAPSHOT and I was having an >> EOFException, so I tried on 0.10-SNAPSHOT and now I have the following >> error: >> >> Caused by: java.lang.RuntimeException: Memory ran out. Compaction failed. >> numPartitions: 32 minPartition: 73 maxPartition: 80 number of overflow >> segments: 0 bucketSize: 570 Overall memory: 102367232 Partition memory: >> 81100800 Message: null >> at >> org.apache.flink.runtime.operators.hash.CompactingHashTable.insertRecordIntoPartition(CompactingHashTable.java:465) >> at >> org.apache.flink.runtime.operators.hash.CompactingHashTable.insertOrReplaceRecord(CompactingHashTable.java:414) >> at >> org.apache.flink.runtime.operators.hash.CompactingHashTable.buildTableWithUniqueKey(CompactingHashTable.java:325) >> at >> org.apache.flink.runtime.iterative.task.IterationHeadPactTask.readInitialSolutionSet(IterationHeadPactTask.java:211) >> at >> org.apache.flink.runtime.iterative.task.IterationHeadPactTask.run(IterationHeadPactTask.java:272) >> at >> org.apache.flink.runtime.operators.RegularPactTask.invoke(RegularPactTask.java:354) >> at org.apache.flink.runtime.taskmanager.Task.run(Task.java:581) >> at java.lang.Thread.run(Thread.java:745) >> >> Probably I'm doing something wrong but I can't understand how to estimate >> the required memory for my Gelly job.. >> >> Best, >> Flavio >> > >
