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https://issues.apache.org/jira/browse/FLINK-18464?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17371934#comment-17371934
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guxiang commented on FLINK-18464:
---------------------------------
Hi [~roman_khachatryan] :
Thanks for your reply.
I understand your performance concerns, but I don't think it will have a big
impact on performance for now.
On the one hand I added caching and it didn't take too much performance away.
On the other hand I think AbstractKeyedStateBackend# getPartitionedState method
in most cases will only be invoked in the open method ( Can you share with me
some examples of getPartitionedState being called frequently. Thank your very
much:D ).
In addition, do you have any good test cases for AbstractKeyedStateBackend#
getPartitionedState performance testing.
the following reply this sentence:
{code:java}
It also doesn't look like the right level of solving the problem (the problem
as I see it is that Window state is accessible from the Trigger). For example,
another state backend will not have this check.{code}
Just from the code logic of AbstractKeyedStateBackend# getPartitionedState,
this error does not occur only in case Window state is accessible from the
Trigger. But in all the cases where flink call getPartitionedState, may be you
are right.
In addition, not only Window state accessible from the Trigger will lead to
this error , but also Trigger's state accessible from window Can lead to
this error. I don't think it's very reasonable to just check the state of the
window.
> ClassCastException during namespace serialization for checkpoint (Heap and
> RocksDB)
> -----------------------------------------------------------------------------------
>
> Key: FLINK-18464
> URL: https://issues.apache.org/jira/browse/FLINK-18464
> Project: Flink
> Issue Type: Bug
> Components: Runtime / Checkpointing, Runtime / State Backends
> Affects Versions: 1.9.3, 1.13.1
> Reporter: Roman Khachatryan
> Priority: Major
> Labels: pull-request-available
> Attachments: image-2021-06-21-20-06-51-323.png,
> image-2021-06-21-20-07-30-281.png, image-2021-06-21-20-07-43-246.png,
> image-2021-06-21-20-33-39-295.png, image-2021-06-23-14-34-37-703.png,
> image-2021-06-24-16-41-54-425.png, image-2021-06-24-17-51-53-734.png
>
>
> (see FLINK-23036 for error details with RocksDB)
>
> From
> [thread|http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/Checkpoint-failed-because-of-TimeWindow-cannot-be-cast-to-VoidNamespace-td36310.html]
> {quote}I'm using flink 1.9 on Mesos and I try to use my own trigger and
> evictor. The state is stored to memory.
> {quote}
>
>
> {code:java}
> input.setParallelism(processParallelism)
> .assignTimestampsAndWatermarks(new UETimeAssigner)
> .keyBy(_.key)
> .window(TumblingEventTimeWindows.of(Time.minutes(20)))
> .trigger(new MyTrigger)
> .evictor(new MyEvictor)
> .process(new MyFunction).setParallelism(aggregateParallelism)
> .addSink(kafkaSink).setParallelism(sinkParallelism)
> .name("kafka-record-sink"){code}
>
>
> {code:java}
> java.lang.Exception: Could not materialize checkpoint 1 for operator
> Window(TumblingEventTimeWindows(1200000), JoinTrigger, JoinEvictor,
> ScalaProcessWindowFunctionWrapper) -> Sink: kafka-record-sink (2/5).
> at
> org.apache.flink.streaming.runtime.tasks.StreamTask$AsyncCheckpointRunnable.handleExecutionException(StreamTask.java:1100)
> at
> org.apache.flink.streaming.runtime.tasks.StreamTask$AsyncCheckpointRunnable.run(StreamTask.java:1042)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> Caused by: java.util.concurrent.ExecutionException:
> java.lang.ClassCastException:
> org.apache.flink.streaming.api.windowing.windows.TimeWindow cannot be cast to
> org.apache.flink.runtime.state.VoidNamespace
> at java.util.concurrent.FutureTask.report(FutureTask.java:122)
> at java.util.concurrent.FutureTask.get(FutureTask.java:192)
> at
> org.apache.flink.runtime.concurrent.FutureUtils.runIfNotDoneAndGet(FutureUtils.java:450)
> at
> org.apache.flink.streaming.api.operators.OperatorSnapshotFinalizer.<init>(OperatorSnapshotFinalizer.java:47)
> at
> org.apache.flink.streaming.runtime.tasks.StreamTask$AsyncCheckpointRunnable.run(StreamTask.java:1011)
>
> ... 3 more
> Caused by: java.lang.ClassCastException:
> org.apache.flink.streaming.api.windowing.windows.TimeWindow cannot be cast to
> org.apache.flink.runtime.state.VoidNamespace
> at
> org.apache.flink.runtime.state.VoidNamespaceSerializer.serialize(VoidNamespaceSerializer.java:32)
> at
> org.apache.flink.runtime.state.heap.CopyOnWriteStateMapSnapshot.writeState(CopyOnWriteStateMapSnapshot.java:114)
> at
> org.apache.flink.runtime.state.heap.AbstractStateTableSnapshot.writeStateInKeyGroup(AbstractStateTableSnapshot.java:121)
> at
> org.apache.flink.runtime.state.heap.CopyOnWriteStateTableSnapshot.writeStateInKeyGroup(CopyOnWriteStateTableSnapshot.java:37)
> at
> org.apache.flink.runtime.state.heap.HeapSnapshotStrategy$1.callInternal(HeapSnapshotStrategy.java:191)
> at
> org.apache.flink.runtime.state.heap.HeapSnapshotStrategy$1.callInternal(HeapSnapshotStrategy.java:158)
> 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:447)
>
> ... 5 more
> {code}
>
>
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