@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) >>>> >>>
