Hi Max,

Thanks for the info!

Eleanore

On Tue, May 5, 2020 at 4:01 AM Maximilian Michels <[email protected]> wrote:

> Hey Eleanore,
>
> The change will be part of the 2.21.0 release.
>
> -Max
>
> On 04.05.20 19:14, Eleanore Jin wrote:
> > Hi Max,
> >
> > Thanks for the information and I saw this PR is already merged, just
> > wonder is it backported to the affected versions already
> > (i.e. 2.14.0, 2.15.0, 2.16.0, 2.17.0, 2.18.0, 2.19.0, 2.20.0)? Or I have
> > to wait for the 2.20.1 release?
> >
> > Thanks a lot!
> > Eleanore
> >
> > On Wed, Apr 22, 2020 at 2:31 AM Maximilian Michels <[email protected]
> > <mailto:[email protected]>> wrote:
> >
> >     Hi Eleanore,
> >
> >     Exactly-once is not affected but the pipeline can fail to checkpoint
> >     after the maximum number of state cells have been reached. We are
> >     working on a fix [1].
> >
> >     Cheers,
> >     Max
> >
> >     [1] https://github.com/apache/beam/pull/11478
> >
> >     On 22.04.20 07:19, Eleanore Jin wrote:
> >     > Hi Maxi,
> >     >
> >     > I assume this will impact the Exactly Once Semantics that beam
> >     provided
> >     > as in the KafkaExactlyOnceSink, the processElement method is also
> >     > annotated with @RequiresStableInput?
> >     >
> >     > Thanks a lot!
> >     > Eleanore
> >     >
> >     > On Tue, Apr 21, 2020 at 12:58 AM Maximilian Michels
> >     <[email protected] <mailto:[email protected]>
> >     > <mailto:[email protected] <mailto:[email protected]>>> wrote:
> >     >
> >     >     Hi Stephen,
> >     >
> >     >     Thanks for reporting the issue! David, good catch!
> >     >
> >     >     I think we have to resort to only using a single state cell for
> >     >     buffering on checkpoints, instead of using a new one for every
> >     >     checkpoint. I was under the assumption that, if the state cell
> was
> >     >     cleared, it would not be checkpointed but that does not seem
> to be
> >     >     the case.
> >     >
> >     >     Thanks,
> >     >     Max
> >     >
> >     >     On 21.04.20 09:29, David Morávek wrote:
> >     >     > Hi Stephen,
> >     >     >
> >     >     > nice catch and awesome report! ;) This definitely needs a
> >     proper fix.
> >     >     > I've created a new JIRA to track the issue and will try to
> >     resolve it
> >     >     > soon as this seems critical to me.
> >     >     >
> >     >     > https://issues.apache.org/jira/browse/BEAM-9794
> >     >     >
> >     >     > Thanks,
> >     >     > D.
> >     >     >
> >     >     > On Mon, Apr 20, 2020 at 10:41 PM Stephen Patel
> >     >     <[email protected] <mailto:[email protected]>
> >     <mailto:[email protected] <mailto:[email protected]>>
> >     >     > <mailto:[email protected]
> >     <mailto:[email protected]>
> >     >     <mailto:[email protected]
> >     <mailto:[email protected]>>>> wrote:
> >     >     >
> >     >     >     I was able to reproduce this in a unit test:
> >     >     >
> >     >     >         @Test
> >     >     >
> >     >     >           *public* *void* test() *throws*
> InterruptedException,
> >     >     >         ExecutionException {
> >     >     >
> >     >     >             FlinkPipelineOptions options =
> >     >     >
> >      PipelineOptionsFactory./as/(FlinkPipelineOptions.*class*);
> >     >     >
> >     >     >             options.setCheckpointingInterval(10L);
> >     >     >
> >     >     >             options.setParallelism(1);
> >     >     >
> >     >     >             options.setStreaming(*true*);
> >     >     >
> >     >     >             options.setRunner(FlinkRunner.*class*);
> >     >     >
> >     >     >             options.setFlinkMaster("[local]");
> >     >     >
> >     >     >             options.setStateBackend(*new*
> >     >     >         MemoryStateBackend(Integer.*/MAX_VALUE/*));
> >     >     >
> >     >     >             Pipeline pipeline = Pipeline./create/(options);
> >     >     >
> >     >     >             pipeline
> >     >     >
> >     >     >                 .apply(Create./of/((Void) *null*))
> >     >     >
> >     >     >                 .apply(
> >     >     >
> >     >     >                     ParDo./of/(
> >     >     >
> >     >     >                         *new* DoFn<Void, Void>() {
> >     >     >
> >     >     >
> >     >     >                           *private* *static* *final* *long*
> >     >     >         */serialVersionUID/* = 1L;
> >     >     >
> >     >     >
> >     >     >                           @RequiresStableInput
> >     >     >
> >     >     >                           @ProcessElement
> >     >     >
> >     >     >                           *public* *void* processElement() {}
> >     >     >
> >     >     >                         }));
> >     >     >
> >     >     >             pipeline.run();
> >     >     >
> >     >     >           }
> >     >     >
> >     >     >
> >     >     >     It took a while to get to checkpoint 32,767, but
> >     eventually it
> >     >     did,
> >     >     >     and it failed with the same error I listed above.
> >     >     >
> >     >     >     On Thu, Apr 16, 2020 at 11:26 AM Stephen Patel
> >     >     >     <[email protected]
> >     <mailto:[email protected]> <mailto:[email protected]
> >     <mailto:[email protected]>>
> >     >     <mailto:[email protected]
> >     <mailto:[email protected]> <mailto:[email protected]
> >     <mailto:[email protected]>>>>
> >     >     wrote:
> >     >     >
> >     >     >         I have a Beam Pipeline (2.14) running on Flink
> (1.8.0,
> >     >     >         emr-5.26.0) that uses the RequiresStableInput
> feature.
> >     >     >
> >     >     >         Currently it's configured to checkpoint once a
> >     minute, and
> >     >     after
> >     >     >         around 32000-33000 checkpoints, it fails with:
> >     >     >
> >     >     >             2020-04-15 13:15:02,920 INFO
> >     >     >
> >     >       org.apache.flink.runtime.checkpoint.CheckpointCoordinator
> >     >     >               - Triggering checkpoint 32701 @ 1586956502911
> >     for job
> >     >     >             9953424f21e240112dd23ab4f8320b60.
> >     >     >             2020-04-15 13:15:05,762 INFO
> >     >     >
> >     >       org.apache.flink.runtime.checkpoint.CheckpointCoordinator
> >     >     >               - Completed checkpoint 32701 for job
> >     >     >             9953424f21e240112dd23ab4f8320b60 (795385496
> bytes in
> >     >     2667 ms).
> >     >     >             2020-04-15 13:16:02,919 INFO
> >     >     >
> >     >       org.apache.flink.runtime.checkpoint.CheckpointCoordinator
> >     >     >               - Triggering checkpoint 32702 @ 1586956562911
> >     for job
> >     >     >             9953424f21e240112dd23ab4f8320b60.
> >     >     >             2020-04-15 13:16:03,147 INFO
> >     >     >
> >     >       org.apache.flink.runtime.executiongraph.ExecutionGraph
> >     >     >                - <operator_name> (1/2)
> >     >     >             (f4737add01961f8b42b8eb4e791b83ba) switched from
> >     >     RUNNING to
> >     >     >             FAILED.
> >     >     >             AsynchronousException{java.lang.Exception: Could
> not
> >     >     >             materialize checkpoint 32702 for operator
> >     <operator_name>
> >     >     >             (1/2).}
> >     >     >             at
> >     >     >
> >     >
> >
>    
> org.apache.flink.streaming.runtime.tasks.StreamTask$AsyncCheckpointExceptionHandler.tryHandleCheckpointException(StreamTask.java:1153)
> >     >     >             at
> >     >     >
> >     >
> >
>    
> org.apache.flink.streaming.runtime.tasks.StreamTask$AsyncCheckpointRunnable.handleExecutionException(StreamTask.java:947)
> >     >     >             at
> >     >     >
> >     >
> >
>    
> org.apache.flink.streaming.runtime.tasks.StreamTask$AsyncCheckpointRunnable.run(StreamTask.java:884)
> >     >     >             at
> >     >     >
> >     >
> >
>    java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> >     >     >             at
> >     >     java.util.concurrent.FutureTask.run(FutureTask.java:266)
> >     >     >             at
> >     >     >
> >     >
> >
>    
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> >     >     >             at
> >     >     >
> >     >
> >
>    
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> >     >     >             at java.lang.Thread.run(Thread.java:748)
> >     >     >             Caused by: java.lang.Exception: Could not
> >     materialize
> >     >     >             checkpoint 32702 for operator <operator_name>
> (1/2).
> >     >     >             at
> >     >     >
> >     >
> >
>    
> org.apache.flink.streaming.runtime.tasks.StreamTask$AsyncCheckpointRunnable.handleExecutionException(StreamTask.java:942)
> >     >     >             ... 6 more
> >     >     >             Caused by:
> java.util.concurrent.ExecutionException:
> >     >     >             java.lang.IllegalArgumentException
> >     >     >             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:394)
> >     >     >             at
> >     >     >
> >     >
> >
>    
> org.apache.flink.streaming.api.operators.OperatorSnapshotFinalizer.<init>(OperatorSnapshotFinalizer.java:53)
> >     >     >             at
> >     >     >
> >     >
> >
>    
> org.apache.flink.streaming.runtime.tasks.StreamTask$AsyncCheckpointRunnable.run(StreamTask.java:853)
> >     >     >             ... 5 more
> >     >     >             Caused by: java.lang.IllegalArgumentException
> >     >     >             at
> >     >     >
> >     >
> >
>    org.apache.flink.util.Preconditions.checkArgument(Preconditions.java:123)
> >     >     >             at
> >     >     >
> >     >
> >
>    
> org.apache.flink.runtime.state.OperatorBackendSerializationProxy.<init>(OperatorBackendSerializationProxy.java:68)
> >     >     >             at
> >     >     >
> >     >
> >
>    
> org.apache.flink.runtime.state.DefaultOperatorStateBackendSnapshotStrategy$1.callInternal(DefaultOperatorStateBackendSnapshotStrategy.java:138)
> >     >     >             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:391)
> >     >     >             ... 7 more
> >     >     >
> >     >     >
> >     >     >         The exception comes from
> >     >     >
> >     >
> >       here:
> https://github.com/apache/flink/blob/release-1.8.0/flink-runtime/src/main/java/org/apache/flink/runtime/state/OperatorBackendSerializationProxy.java#L68
> >     >     >
> >     >     >         In the Flink Runner code, I can see that each
> >     checkpoint will
> >     >     >         result in a new OperatorState (or KeyedState if the
> >     stream is
> >     >     >         keyed):
> >     >     >
> >     >
> >
> https://github.com/apache/beam/blob/v2.14.0/runners/flink/src/main/java/org/apache/beam/runners/flink/translation/wrappers/streaming/stableinput/BufferingDoFnRunner.java#L91-L103
> >     >     >
> >     >
> >
> https://github.com/apache/beam/blob/v2.14.0/runners/flink/src/main/java/org/apache/beam/runners/flink/translation/wrappers/streaming/stableinput/BufferingDoFnRunner.java#L136-L143
> >     >     >
> >     >     >         This seems to be the reason the pipeline will
> eventually
> >     >     die.
> >     >     >
> >     >     >         While a workaround might be to increase the time
> between
> >     >     >         checkpoints, it seems like any pipeline running on
> >     flink,
> >     >     using
> >     >     >         the RequiresStableInput is limited in the amount of
> time
> >     >     that it
> >     >     >         can run without being started from scratch.
> >     >     >
> >     >
> >
>

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