Hi All, I think the Beam Community fixed this issue: https://github.com/apache/beam/pull/11478
Thanks! Eleanore On Thu, Apr 23, 2020 at 4:24 AM Stephan Ewen <se...@apache.org> wrote: > If something requires Beam to register a new state each time, then this is > tricky, because currently you cannot unregister states from Flink. > > @Yu @Yun I remember chatting about this (allowing to explicitly unregister > states so they get dropped from successive checkpoints) at some point, but > I could not find a jira ticket for this. Do you remember what the status of > that discussion is? > > On Thu, Apr 16, 2020 at 6:37 PM Stephen Patel <merli...@gmail.com> wrote: > >> I posted to the beam mailing list: >> https://lists.apache.org/thread.html/rb2ebfad16d85bcf668978b3defd442feda0903c20db29c323497a672%40%3Cuser.beam.apache.org%3E >> >> I think this is related to a Beam feature called RequiresStableInput >> (which my pipeline is using). It will create a new operator (or keyed) >> state per checkpoint. I'm not sure that there are any parameters that I >> have control over to tweak it's behavior (apart from increasing the >> checkpoint interval to let the pipeline run longer before building up that >> many states). >> >> Perhaps this is something that can be fixed (maybe by unregistering >> Operator States after they aren't used any more in the RequiresStableInput >> code). It seems to me that this isn't a Flink issue, but rather a Beam >> issue. >> >> Thanks for pointing me in the right direction. >> >> On Thu, Apr 16, 2020 at 11:29 AM Yun Tang <myas...@live.com> wrote: >> >>> Hi Stephen >>> >>> I think the state name [1] which would be changed every time might the >>> root cause. I am not familiar with Beam code, would it be possible to >>> create so many operator states? Did you configure some parameters wrongly? >>> >>> >>> [1] >>> https://github.com/apache/beam/blob/4fc924a8193bb9495c6b7ba755ced576bb8a35d5/runners/flink/src/main/java/org/apache/beam/runners/flink/translation/wrappers/streaming/stableinput/BufferingDoFnRunner.java#L95 >>> >>> Best >>> Yun Tang >>> ------------------------------ >>> *From:* Stephen Patel <merli...@gmail.com> >>> *Sent:* Thursday, April 16, 2020 22:30 >>> *To:* Yun Tang <myas...@live.com> >>> *Cc:* user@flink.apache.org <user@flink.apache.org> >>> *Subject:* Re: Streaming Job eventually begins failing during >>> checkpointing >>> >>> Correction. I've actually found a place where it potentially might be >>> creating a new operator state per checkpoint: >>> >>> https://github.com/apache/beam/blob/4fc924a8193bb9495c6b7ba755ced576bb8a35d5/runners/flink/src/main/java/org/apache/beam/runners/flink/translation/wrappers/streaming/stableinput/BufferingDoFnRunner.java#L91-L105 >>> https://github.com/apache/beam/blob/4fc924a8193bb9495c6b7ba755ced576bb8a35d5/runners/flink/src/main/java/org/apache/beam/runners/flink/translation/wrappers/streaming/stableinput/BufferingDoFnRunner.java#L141-L149 >>> >>> This gives me something I can investigate locally at least. >>> >>> On Thu, Apr 16, 2020 at 9:03 AM Stephen Patel <merli...@gmail.com> >>> wrote: >>> >>> I can't say that I ever call that directly. The beam library that I'm >>> using does call it in a couple places: >>> https://github.com/apache/beam/blob/v2.14.0/runners/flink/src/main/java/org/apache/beam/runners/flink/translation/wrappers/streaming/io/UnboundedSourceWrapper.java#L422-L429 >>> >>> But it seems to be the same descriptor every time. Is that limit per >>> operator? That is, can each operator host up to 32767 operator/broadcast >>> states? I assume that's by name? >>> >>> On Wed, Apr 15, 2020 at 10:46 PM Yun Tang <myas...@live.com> wrote: >>> >>> Hi Stephen >>> >>> This is not related with RocksDB but with default on-heap operator state >>> backend. From your exception stack trace, you have created too many >>> operator states (more than 32767). >>> How do you call context.getOperatorStateStore().getListState or >>> context.getOperatorStateStore().getBroadcastState ? Did you pass a >>> different operator state descriptor each time? >>> >>> Best >>> Yun Tang >>> ------------------------------ >>> *From:* Stephen Patel <merli...@gmail.com> >>> *Sent:* Thursday, April 16, 2020 2:09 >>> *To:* user@flink.apache.org <user@flink.apache.org> >>> *Subject:* Streaming Job eventually begins failing during checkpointing >>> >>> I've got a flink (1.8.0, emr-5.26) streaming job running on yarn. It's >>> configured to use rocksdb, and checkpoint once a minute to hdfs. This job >>> operates just fine for around 20 days, and then begins failing with this >>> exception (it fails, restarts, and fails again, repeatedly): >>> >>> 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 >>> >>> This application configured to retain external checkpoints. When I >>> attempt to restart from the last successful checkpoint, it will fail with >>> the same error on the first checkpoint that happens after the restart. >>> >>> I haven't been able to find out why this might be. The source code >>> doesn't seem particularly informative to my eyes: >>> https://github.com/apache/flink/blob/release-1.8.0/flink-runtime/src/main/java/org/apache/flink/runtime/state/OperatorBackendSerializationProxy.java#L68 >>> >>> Has anyone else seen anything like this? >>> >>>
