Thanks Bastien. Can you point to an example of using a sink as we are
planning to write to S3?

Thanks again for your help.

Antonio.

On Thu, Feb 10, 2022 at 11:49 AM bastien dine <bastien.d...@gmail.com>
wrote:

> Hello Antonio,
>
> .collect() method should be use with caution as it's collecting the
> DataSet (multiple partitions on multiple TM) into a List single list on JM
> (so in memory)
> Unless you have a lot of RAM, you can not use it this way and you probably
> should not
> I recommend you to use a sink to print it into a formatted file instead
> (like CSV one) or if it's too big, into something splittable
>
> Regards,
> Bastien
>
> ------------------
>
> Bastien DINE
> Data Architect / Software Engineer / Sysadmin
> bastiendine.io
>
>
> Le jeu. 10 févr. 2022 à 20:32, Antonio Si <antonio...@gmail.com> a écrit :
>
>> Hi,
>>
>> I am using the stateful processing api to read the states from a
>> savepoint file.
>> It works fine when the state size is small, but when the state size is
>> larger, around 11GB, I am getting an OOM. I think it happens when it is
>> doing a dataSource.collect() to obtain the states. The stackTrace is copied
>> at the end of the message.
>>
>> Any suggestions or hints would be very helpful.
>>
>> Thanks in advance.
>>
>> Antonio.
>>
>> java.lang.OutOfMemoryError: null
>>         at
>> java.io.ByteArrayOutputStream.hugeCapacity(ByteArrayOutputStream.java:123)
>> ~[?:1.8.0_282]
>>         at
>> java.io.ByteArrayOutputStream.grow(ByteArrayOutputStream.java:117)
>> ~[?:1.8.0_282]
>>         at
>> java.io.ByteArrayOutputStream.ensureCapacity(ByteArrayOutputStream.java:93)
>> ~[?:1.8.0_282]
>>         at
>> java.io.ByteArrayOutputStream.write(ByteArrayOutputStream.java:153)
>> ~[?:1.8.0_282]
>>         at
>> java.io.ObjectOutputStream$BlockDataOutputStream.drain(ObjectOutputStream.java:1877)
>> ~[?:1.8.0_282]
>>         at
>> java.io.ObjectOutputStream$BlockDataOutputStream.setBlockDataMode(ObjectOutputStream.java:1786)
>> ~[?:1.8.0_282]
>>         at
>> java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1189)
>> ~[?:1.8.0_282]
>>         at
>> java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:348)
>> ~[?:1.8.0_282]
>>         at
>> org.apache.flink.util.InstantiationUtil.serializeObject(InstantiationUtil.java:624)
>> ~[flink-dist_2.11-1.12.2.jar:1.12.2]
>>         at
>> org.apache.flink.util.SerializedValue.<init>(SerializedValue.java:62)
>> ~[flink-dist_2.11-1.12.2.jar:1.12.2]
>>         at
>> org.apache.flink.runtime.executiongraph.ExecutionGraph.serializeAccumulator(ExecutionGraph.java:806)
>> ~[flink-dist_2.11-1.12.2.jar:1.12.2]
>>         at
>> org.apache.flink.runtime.executiongraph.ExecutionGraph.lambda$getAccumulatorsSerialized$0(ExecutionGraph.java:795)
>> ~[flink-dist_2.11-1.12.2.jar:1.12.2]
>>         at
>> java.util.stream.Collectors.lambda$toMap$58(Collectors.java:1321)
>> ~[?:1.8.0_282]
>>         at
>> java.util.stream.ReduceOps$3ReducingSink.accept(ReduceOps.java:169)
>> ~[?:1.8.0_282]
>>         at
>> java.util.HashMap$EntrySpliterator.forEachRemaining(HashMap.java:1699)
>> ~[?:1.8.0_282]
>>         at
>> java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:482)
>> ~[?:1.8.0_282]
>>         at
>> java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:472)
>> ~[?:1.8.0_282]
>>         at
>> java.util.stream.ReduceOps$ReduceOp.evaluateSequential(ReduceOps.java:708)
>> ~[?:1.8.0_282]
>>         at
>> java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:234)
>> ~[?:1.8.0_282]
>>         at
>> java.util.stream.ReferencePipeline.collect(ReferencePipeline.java:566)
>> ~[?:1.8.0_282]
>>         at
>> org.apache.flink.runtime.executiongraph.ExecutionGraph.getAccumulatorsSerialized(ExecutionGraph.java:792)
>> ~[flink-dist_2.11-1.12.2.jar:1.12.2]
>>         at
>> org.apache.flink.runtime.executiongraph.ArchivedExecutionGraph.createFrom(ArchivedExecutionGraph.java:325)
>> ~[flink-dist_2.11-1.12.2.jar:1.12.2]
>>         at
>> org.apache.flink.runtime.scheduler.SchedulerBase.requestJob(SchedulerBase.java:810)
>> ~[flink-dist_2.11-1.12.2.jar:1.12.2]
>>         at
>> org.apache.flink.runtime.jobmaster.JobMaster.jobStatusChanged(JobMaster.java:1085)
>> ~[flink-dist_2.11-1.12.2.jar:1.12.2]
>>         at
>> org.apache.flink.runtime.jobmaster.JobMaster.access$2200(JobMaster.java:131)
>> ~[flink-dist_2.11-1.12.2.jar:1.12.2]
>>         at
>> org.apache.flink.runtime.jobmaster.JobMaster$JobManagerJobStatusListener.lambda$jobStatusChanges$0(JobMaster.java:1356)
>> ~[flink-dist_2.11-1.12.2.jar:1.12.2]
>> at
>> org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRunAsync(AkkaRpcActor.java:440)
>> ~[flink-dist_2.11-1.12.2.jar:1.12.2]
>>         at
>> org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcMessage(AkkaRpcActor.java:208)
>> ~[flink-dist_2.11-1.12.2.jar:1.12.2]
>>         at
>> org.apache.flink.runtime.rpc.akka.FencedAkkaRpcActor.handleRpcMessage(FencedAkkaRpcActor.java:77)
>> ~[flink-dist_2.11-1.12.2.jar:1.12.2]
>>         at
>> org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleMessage(AkkaRpcActor.java:158)
>> ~[flink-dist_2.11-1.12.2.jar:1.12.2]
>>         at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:26)
>> ~[flink-dist_2.11-1.12.2.jar:1.12.2]
>>         at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:21)
>> ~[flink-dist_2.11-1.12.2.jar:1.12.2]
>>         at
>> scala.PartialFunction$class.applyOrElse(PartialFunction.scala:123)
>> ~[flink-dist_2.11-1.12.2.jar:1.12.2]
>>         at
>> akka.japi.pf.UnitCaseStatement.applyOrElse(CaseStatements.scala:21)
>> ~[flink-dist_2.11-1.12.2.jar:1.12.2]
>>         at
>> scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:170)
>> ~[flink-dist_2.11-1.12.2.jar:1.12.2]
>>         at
>> scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:171)
>> ~[flink-dist_2.11-1.12.2.jar:1.12.2]
>>         at
>> scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:171)
>> ~[flink-dist_2.11-1.12.2.jar:1.12.2]
>>         at akka.actor.Actor$class.aroundReceive(Actor.scala:517)
>> ~[flink-dist_2.11-1.12.2.jar:1.12.2]
>>         at
>> akka.actor.AbstractActor.aroundReceive(AbstractActor.scala:225)
>> ~[flink-dist_2.11-1.12.2.jar:1.12.2]
>>         at akka.actor.ActorCell.receiveMessage(ActorCell.scala:592)
>> ~[flink-dist_2.11-1.12.2.jar:1.12.2]
>>         at akka.actor.ActorCell.invoke(ActorCell.scala:561)
>> ~[flink-dist_2.11-1.12.2.jar:1.12.2]
>>         at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:258)
>> ~[flink-dist_2.11-1.12.2.jar:1.12.2]
>>         at akka.dispatch.Mailbox.run(Mailbox.scala:225)
>> ~[flink-dist_2.11-1.12.2.jar:1.12.2]
>>         at akka.dispatch.Mailbox.exec(Mailbox.scala:235)
>> [flink-dist_2.11-1.12.2.jar:1.12.2]
>>         at
>> akka.dispatch.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
>> [flink-dist_2.11-1.12.2.jar:1.12.2]
>>         at
>> akka.dispatch.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
>> [flink-dist_2.11-1.12.2.jar:1.12.2]
>>         at
>> akka.dispatch.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
>> [flink-dist_2.11-1.12.2.jar:1.12.2]
>>         at
>> akka.dispatch.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
>> [flink-dist_2.11-1.12.2.jar:1.12.2]
>>
>

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