As you can see from the task manager tab of flink web dashboard Physical Memory:3.80 GB JVM Heap Size:1.78 GB Flink Managed Memory:128 MB
*Flink is only using 128M MB which can easily cause OOM* *error.* *These are DEFAULT settings.* *I dusted off an old laptop so it only 3.8 GB RAM.* What does your job metrics say ? On Mon, 20 Apr 2020, 07:26 Xintong Song, <tonysong...@gmail.com> wrote: > Hi Lasse, > > From what I understand, your problem is that JVM tries to fork some native > process (if you look at the exception stack the root exception is thrown > from a native method) but there's no enough memory for doing that. This > could happen when either Mesos is using cgroup strict mode for memory > control, or there's no more memory on the machine. Flink cannot prevent > native processes from using more memory. It can only reserve certain amount > of memory for such native usage when requesting worker memory from the > deployment environment (in your case Mesos) and allocating Java heap / > direct memory. > > My suggestion is to try increasing the JVM overhead configuration. You can > leverage the configuration options > 'taskmanager.memory.jvm-overhead.[min|max|fraction]'. See more details in > the documentation[1]. > > Thank you~ > > Xintong Song > > > [1] > https://ci.apache.org/projects/flink/flink-docs-release-1.10/ops/config.html#taskmanager-memory-jvm-overhead-max > > On Sat, Apr 18, 2020 at 4:02 AM Zahid Rahman <zahidr1...@gmail.com> wrote: > >> https://betsol.com/java-memory-management-for-java-virtual-machine-jvm/ >> >> Backbutton.co.uk >> ¯\_(ツ)_/¯ >> ♡۶Java♡۶RMI ♡۶ >> Make Use Method {MUM} >> makeuse.org >> <http://www.backbutton.co.uk> >> >> >> On Fri, 17 Apr 2020 at 14:07, Lasse Nedergaard < >> lassenedergaardfl...@gmail.com> wrote: >> >>> Hi. >>> >>> We have migrated to Flink 1.10 and face out of memory exception and >>> hopeful can someone point us in the right direction. >>> >>> We have a job that use broadcast state, and we sometimes get out memory >>> when it creates a savepoint. See stacktrack below. >>> We have assigned 2.2 GB/task manager and >>> configured taskmanager.memory.process.size : 2200m >>> In Flink 1.9 our container was terminated because OOM, so 1.10 do a >>> better job, but it still not working and the task manager is leaking mem >>> for each OOM and finial kill by Mesos >>> >>> >>> Any idea what we can do to figure out what settings we need to change? >>> >>> Thanks in advance >>> >>> Lasse Nedergaard >>> >>> >>> WARN o.a.flink.runtime.state.filesystem.FsCheckpointStreamFactory - >>> Could not close the state stream for >>> s3://flinkstate/dcos-prod/checkpoints/fc9318cc236d09f0bfd994f138896d6c/chk-3509/cf0714dc-ad7c-4946-b44c-96d4a131a4fa. >>> java.io.IOException: Cannot allocate memory at >>> java.io.FileOutputStream.writeBytes(Native Method) at >>> java.io.FileOutputStream.write(FileOutputStream.java:326) at >>> java.io.BufferedOutputStream.flushBuffer(BufferedOutputStream.java:82) at >>> java.io.BufferedOutputStream.flush(BufferedOutputStream.java:140) at >>> java.io.FilterOutputStream.flush(FilterOutputStream.java:140) at >>> java.io.FilterOutputStream.close(FilterOutputStream.java:158) at >>> com.facebook.presto.hive.s3.PrestoS3FileSystem$PrestoS3OutputStream.close(PrestoS3FileSystem.java:995) >>> at >>> org.apache.hadoop.fs.FSDataOutputStream$PositionCache.close(FSDataOutputStream.java:72) >>> at >>> org.apache.hadoop.fs.FSDataOutputStream.close(FSDataOutputStream.java:101) >>> at >>> org.apache.flink.fs.s3presto.common.HadoopDataOutputStream.close(HadoopDataOutputStream.java:52) >>> at >>> org.apache.flink.core.fs.ClosingFSDataOutputStream.close(ClosingFSDataOutputStream.java:64) >>> at >>> org.apache.flink.runtime.state.filesystem.FsCheckpointStreamFactory$FsCheckpointStateOutputStream.close(FsCheckpointStreamFactory.java:277) >>> at org.apache.flink.util.IOUtils.closeQuietly(IOUtils.java:263) at >>> org.apache.flink.util.IOUtils.closeAllQuietly(IOUtils.java:250) at >>> org.apache.flink.util.AbstractCloseableRegistry.close(AbstractCloseableRegistry.java:122) >>> at >>> org.apache.flink.runtime.state.AsyncSnapshotCallable.closeSnapshotIO(AsyncSnapshotCallable.java:167) >>> at >>> org.apache.flink.runtime.state.AsyncSnapshotCallable.call(AsyncSnapshotCallable.java:83) >>> at java.util.concurrent.FutureTask.run(FutureTask.java:266) at >>> org.apache.flink.runtime.concurrent.FutureUtils.runIfNotDoneAndGet(FutureUtils.java:458) >>> at >>> org.apache.flink.streaming.api.operators.OperatorSnapshotFinalizer.<init>(OperatorSnapshotFinalizer.java:53) >>> at >>> org.apache.flink.streaming.runtime.tasks.StreamTask$AsyncCheckpointRunnable.run(StreamTask.java:1143) >>> at >>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) >>> at >>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) >>> at java.lang.Thread.run(Thread.java:748) >>> >>> INFO org.apache.flink.runtime.checkpoint.CheckpointCoordinator - >>> Discarding checkpoint 3509 of job fc9318cc236d09f0bfd994f138896d6c. >>> org.apache.flink.util.SerializedThrowable: Could not materialize checkpoint >>> 3509 for operator Feature extraction (8/12). at >>> org.apache.flink.streaming.runtime.tasks.StreamTask$AsyncCheckpointRunnable.handleExecutionException(StreamTask.java:1238) >>> at >>> org.apache.flink.streaming.runtime.tasks.StreamTask$AsyncCheckpointRunnable.run(StreamTask.java:1180) >>> at >>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) >>> at >>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) >>> at java.lang.Thread.run(Thread.java:748) Caused by: >>> org.apache.flink.util.SerializedThrowable: java.io.IOException: Cannot >>> allocate memory at >>> java.util.concurrent.FutureTask.report(FutureTask.java:122) at >>> java.util.concurrent.FutureTask.get(FutureTask.java:192) at >>> org.apache.flink.runtime.concurrent.FutureUtils.runIfNotDoneAndGet(FutureUtils.java:461) >>> at >>> org.apache.flink.streaming.api.operators.OperatorSnapshotFinalizer.<init>(OperatorSnapshotFinalizer.java:53) >>> at >>> org.apache.flink.streaming.runtime.tasks.StreamTask$AsyncCheckpointRunnable.run(StreamTask.java:1143) >>> ... 3 common frames omitted Caused by: >>> org.apache.flink.util.SerializedThrowable: Cannot allocate memory at >>> java.io.FileOutputStream.writeBytes(Native Method) at >>> java.io.FileOutputStream.write(FileOutputStream.java:326) at >>> java.io.BufferedOutputStream.flushBuffer(BufferedOutputStream.java:82) at >>> java.io.BufferedOutputStream.write(BufferedOutputStream.java:95) at >>> java.io.FilterOutputStream.write(FilterOutputStream.java:77) at >>> java.io.FilterOutputStream.write(FilterOutputStream.java:125) at >>> org.apache.hadoop.fs.FSDataOutputStream$PositionCache.write(FSDataOutputStream.java:57) >>> at java.io.DataOutputStream.write(DataOutputStream.java:107) at >>> org.apache.flink.fs.s3presto.common.HadoopDataOutputStream.write(HadoopDataOutputStream.java:47) >>> at >>> org.apache.flink.core.fs.FSDataOutputStreamWrapper.write(FSDataOutputStreamWrapper.java:66) >>> at >>> org.apache.flink.runtime.state.filesystem.FsCheckpointStreamFactory$FsCheckpointStateOutputStream.write(FsCheckpointStreamFactory.java:220) >>> at java.io.DataOutputStream.write(DataOutputStream.java:107) at >>> org.apache.flink.formats.avro.utils.DataOutputEncoder.writeBytes(DataOutputEncoder.java:92) >>> at >>> org.apache.flink.formats.avro.utils.DataOutputEncoder.writeString(DataOutputEncoder.java:113) >>> at org.apache.avro.io.Encoder.writeString(Encoder.java:130) at >>> org.apache.avro.generic.GenericDatumWriter.writeString(GenericDatumWriter.java:323) >>> at >>> org.apache.avro.generic.GenericDatumWriter.writeMap(GenericDatumWriter.java:281) >>> at >>> org.apache.avro.generic.GenericDatumWriter.writeWithoutConversion(GenericDatumWriter.java:139) >>> at >>> org.apache.avro.generic.GenericDatumWriter.write(GenericDatumWriter.java:82) >>> at >>> org.apache.avro.generic.GenericDatumWriter.writeWithoutConversion(GenericDatumWriter.java:144) >>> at >>> org.apache.avro.specific.SpecificDatumWriter.writeField(SpecificDatumWriter.java:98) >>> at >>> org.apache.avro.generic.GenericDatumWriter.writeRecord(GenericDatumWriter.java:195) >>> at >>> org.apache.avro.specific.SpecificDatumWriter.writeRecord(SpecificDatumWriter.java:83) >>> at >>> org.apache.avro.generic.GenericDatumWriter.writeWithoutConversion(GenericDatumWriter.java:130) >>> at >>> org.apache.avro.generic.GenericDatumWriter.write(GenericDatumWriter.java:82) >>> at >>> org.apache.avro.generic.GenericDatumWriter.writeArray(GenericDatumWriter.java:234) >>> at >>> org.apache.avro.generic.GenericDatumWriter.writeWithoutConversion(GenericDatumWriter.java:136) >>> at >>> org.apache.avro.generic.GenericDatumWriter.write(GenericDatumWriter.java:82) >>> at >>> org.apache.avro.generic.GenericDatumWriter.writeWithoutConversion(GenericDatumWriter.java:144) >>> at >>> org.apache.avro.specific.SpecificDatumWriter.writeField(SpecificDatumWriter.java:98) >>> at >>> org.apache.avro.generic.GenericDatumWriter.writeRecord(GenericDatumWriter.java:195) >>> at >>> org.apache.avro.specific.SpecificDatumWriter.writeRecord(SpecificDatumWriter.java:83) >>> at >>> org.apache.avro.generic.GenericDatumWriter.writeWithoutConversion(GenericDatumWriter.java:130) >>> at >>> org.apache.avro.generic.GenericDatumWriter.write(GenericDatumWriter.java:82) >>> at >>> org.apache.avro.generic.GenericDatumWriter.write(GenericDatumWriter.java:72) >>> at >>> org.apache.flink.formats.avro.typeutils.AvroSerializer.serialize(AvroSerializer.java:185) >>> at >>> org.apache.flink.runtime.state.HeapBroadcastState.write(HeapBroadcastState.java:109) >>> at >>> org.apache.flink.runtime.state.DefaultOperatorStateBackendSnapshotStrategy$1.callInternal(DefaultOperatorStateBackendSnapshotStrategy.java:167) >>> at >>> org.apache.flink.runtime.state.DefaultOperatorStateBackendSnapshotStrategy$1.callInternal(DefaultOperatorStateBackendSnapshotStrategy.java:108) >>> at >>> org.apache.flink.runtime.state.AsyncSnapshotCallable.call(AsyncSnapshotCallable.java:75) >>> at java.util.concurrent.FutureTask.run(FutureTask.java:266) at >>> org.apache.flink.runtime.concurrent.FutureUtils.runIfNotDoneAndGet(FutureUtils.java:458) >>> >>
