@Stephan, I don't think so. If JVM hits the direct memory limit, you should see the error message "OutOfMemoryError: Direct buffer memory".
Thank you~ Xintong Song On Thu, Apr 23, 2020 at 6:11 PM Stephan Ewen <se...@apache.org> wrote: > @Xintong and @Lasse could it be that the JVM hits the "Direct Memory" > limit here? > Would increasing the "taskmanager.memory.framework.off-heap.size" help? > > On Mon, Apr 20, 2020 at 11:02 AM Zahid Rahman <zahidr1...@gmail.com> > wrote: > >> 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) >>>>> >>>>
