Thanks Bastien. I will check it out. Antonio.
On Thu, Feb 10, 2022 at 11:59 AM bastien dine <bastien.d...@gmail.com> wrote: > I haven't used s3 with Flink, but according to this doc : > https://nightlies.apache.org/flink/flink-docs-release-1.14/docs/deployment/filesystems/s3/ > You can setup pretty easily s3 and use it with s3://path/to/your/file with > a write sink > The page talk about DataStream but it should work with DataSet ( > https://nightlies.apache.org/flink/flink-docs-release-1.13/docs/dev/dataset/overview/#data-sinks > ) > > Maybe someone else will have more information about s3 dataset sink > > Regards, > > > Le jeu. 10 févr. 2022 à 20:52, Antonio Si <antonio...@gmail.com> a écrit : > >> 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] >>>> >>>
