Hi Curt,

Could you try if it works by reducing python.fn-execution.bundle.size to
1000 or 100?

Regards,
Dian

On Thu, Oct 14, 2021 at 2:47 AM Curt Buechter <tricksho...@gmail.com> wrote:

> Hi guys,
> I'm still running into this problem. I checked the logs, and there is no
> evidence that the python process crashed. I checked the process IDs and
> they are still active after the error. No `killed process` messages in
> /var/log/messages.
>
> I don't think it's necessarily related to checkpointing. I noticed
> https://issues.apache.org/jira/browse/FLINK-24123 and thought it was
> possibly related. I tried upgrading to Flink 1.14.0, but get the (mostly)
> same error, but now the error happens outside the context of performing the
> checkpointing operation.
>
> I tried reducing python.fn-execution.bundle.size to 10,000 (default
> 100,000), and no luck there, either.
>
> 2021-10-13 13:39:19
> java.lang.RuntimeException: Error while waiting for
> BeamPythonFunctionRunner flush
> at org.apache.flink.streaming.api.operators.python.
> AbstractPythonFunctionOperator.invokeFinishBundle(
> AbstractPythonFunctionOperator.java:361)
> at org.apache.flink.streaming.api.operators.python.
> AbstractPythonFunctionOperator.checkInvokeFinishBundleByCount(
> AbstractPythonFunctionOperator.java:321)
> at org.apache.flink.streaming.api.operators.python.
> AbstractOneInputPythonFunctionOperator.processElement(
> AbstractOneInputPythonFunctionOperator.java:139)
> at org.apache.flink.streaming.api.operators.python.
> PythonKeyedProcessOperator.processElement(PythonKeyedProcessOperator.java:
> 176)
> at org.apache.flink.streaming.runtime.tasks.
> OneInputStreamTask$StreamTaskNetworkOutput.emitRecord(OneInputStreamTask
> .java:233)
> at org.apache.flink.streaming.runtime.io.AbstractStreamTaskNetworkInput
> .processElement(AbstractStreamTaskNetworkInput.java:134)
> at org.apache.flink.streaming.runtime.io.AbstractStreamTaskNetworkInput
> .emitNext(AbstractStreamTaskNetworkInput.java:105)
> at org.apache.flink.streaming.runtime.io.StreamOneInputProcessor
> .processInput(StreamOneInputProcessor.java:65)
> at org.apache.flink.streaming.runtime.tasks.StreamTask.processInput(
> StreamTask.java:496)
> at org.apache.flink.streaming.runtime.tasks.mailbox.MailboxProcessor
> .runMailboxLoop(MailboxProcessor.java:203)
> at org.apache.flink.streaming.runtime.tasks.StreamTask.runMailboxLoop(
> StreamTask.java:809)
> at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask
> .java:761)
> at org.apache.flink.runtime.taskmanager.Task.runWithSystemExitMonitoring(
> Task.java:958)
> at org.apache.flink.runtime.taskmanager.Task.restoreAndInvoke(Task.java:
> 937)
> at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:766)
> at org.apache.flink.runtime.taskmanager.Task.run(Task.java:575)
> at java.lang.Thread.run(Thread.java:748)
> Caused by: java.lang.RuntimeException: Failed to close remote bundle
> at org.apache.flink.streaming.api.runners.python.beam.
> BeamPythonFunctionRunner.finishBundle(BeamPythonFunctionRunner.java:377)
> at org.apache.flink.streaming.api.runners.python.beam.
> BeamPythonFunctionRunner.flush(BeamPythonFunctionRunner.java:361)
> at org.apache.flink.streaming.api.operators.python.
> AbstractPythonFunctionOperator.lambda$invokeFinishBundle$2(
> AbstractPythonFunctionOperator.java:340)
> at java.util.concurrent.Executors$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$Worker.run(ThreadPoolExecutor
> .java:624)
> ... 1 more
> Caused by: java.util.concurrent.ExecutionException:
> org.apache.beam.vendor.grpc.v1p26p0.io.grpc.StatusRuntimeException:
> CANCELLED: cancelled before receiving half close
> at java.util.concurrent.CompletableFuture.reportGet(CompletableFuture
> .java:357)
> at java.util.concurrent.CompletableFuture.get(CompletableFuture.java:1908)
> at org.apache.beam.sdk.util.MoreFutures.get(MoreFutures.java:60)
> at org.apache.beam.runners.fnexecution.control.
> SdkHarnessClient$BundleProcessor$ActiveBundle.close(SdkHarnessClient.java:
> 504)
> at org.apache.beam.runners.fnexecution.control.
> DefaultJobBundleFactory$SimpleStageBundleFactory$1.close(
> DefaultJobBundleFactory.java:555)
> at org.apache.flink.streaming.api.runners.python.beam.
> BeamPythonFunctionRunner.finishBundle(BeamPythonFunctionRunner.java:375)
> ... 7 more
> Caused by: org.apache.beam.vendor.grpc.v1p26p0.io.grpc.
> StatusRuntimeException: CANCELLED: cancelled before receiving half close
> at org.apache.beam.vendor.grpc.v1p26p0.io.grpc.Status.asRuntimeException(
> Status.java:524)
> at org.apache.beam.vendor.grpc.v1p26p0.io.grpc.stub.
> ServerCalls$StreamingServerCallHandler$StreamingServerCallListener
> .onCancel(ServerCalls.java:275)
> at org.apache.beam.vendor.grpc.v1p26p0.io.grpc.
> PartialForwardingServerCallListener.onCancel(
> PartialForwardingServerCallListener.java:40)
> at org.apache.beam.vendor.grpc.v1p26p0.io.grpc.
> ForwardingServerCallListener.onCancel(ForwardingServerCallListener.java:23
> )
> at org.apache.beam.vendor.grpc.v1p26p0.io.grpc.
> ForwardingServerCallListener$SimpleForwardingServerCallListener.onCancel(
> ForwardingServerCallListener.java:40)
> at org.apache.beam.vendor.grpc.v1p26p0.io.grpc.
> Contexts$ContextualizedServerCallListener.onCancel(Contexts.java:96)
> at org.apache.beam.vendor.grpc.v1p26p0.io.grpc.internal.
> ServerCallImpl$ServerStreamListenerImpl.closedInternal(ServerCallImpl
> .java:353)
> at org.apache.beam.vendor.grpc.v1p26p0.io.grpc.internal.
> ServerCallImpl$ServerStreamListenerImpl.closed(ServerCallImpl.java:341)
> at org.apache.beam.vendor.grpc.v1p26p0.io.grpc.internal.
> ServerImpl$JumpToApplicationThreadServerStreamListener$1Closed
> .runInContext(ServerImpl.java:867)
> at org.apache.beam.vendor.grpc.v1p26p0.io.grpc.internal.ContextRunnable
> .run(ContextRunnable.java:37)
> at org.apache.beam.vendor.grpc.v1p26p0.io.grpc.internal.
> SerializingExecutor.run(SerializingExecutor.java:123)
> ... 3 more
>
> On Thu, Sep 23, 2021 at 9:07 PM Dian Fu <dian0511...@gmail.com> wrote:
>
>> I agree with Roman that it seems that the Python process has crashed.
>>
>> Besides the suggestions from Roman, I guess you could also try to
>> configure the bundle size to smaller value via
>> “python.fn-execution.bundle.size”.
>>
>> Regards,
>> Dian
>>
>> > 2021年9月24日 上午3:48,Roman Khachatryan <ro...@apache.org> 写道:
>> >
>> > Hi,
>> >
>> > Is it possible that the python process crashed or hung up? (probably
>> > performing a snapshot)
>> > Could you validate this by checking the OS logs for OOM killer
>> > messages or process status?
>> >
>> > Regards,
>> > Roman
>> >
>> > On Wed, Sep 22, 2021 at 6:30 PM Curt Buechter <tricksho...@gmail.com>
>> wrote:
>> >>
>> >> Hi,
>> >> I'm getting an error after enabling checkpointing in my pyflink
>> application that uses a keyed stream and rocksdb state.
>> >>
>> >> Here is the error message:
>> >>
>> >> 2021-09-22 16:18:14,408 INFO
>> org.apache.flink.contrib.streaming.state.RocksDBKeyedStateBackend [] -
>> Closed RocksDB State Backend. Cleaning up RocksDB working directory
>> /mnt/yarn/usercache/hadoop/appcache/application_1631886817823_0058/flink-io-db923140-fce6-433e-b26b-b7d53afbc38f/job_383b888cc0d49bbd7464906e45b88187_op_PythonKeyedProcessOperator_90bea66de1c231edf33913ecd54406c1__1_1__uuid_16eefb37-8bae-43ef-b680-d6a4f9660c39.
>> >> 2021-09-22 16:18:14,409 WARN org.apache.flink.runtime.taskmanager.Task
>> [] - KEYED PROCESS -> Sink: Unnamed (1/1)#34
>> (8f4fd40e863dd058822060dc3cf98831) switched from RUNNING to FAILED with
>> failure cause: java.io.IOException: Could not perform checkpoint 2 for
>> operator KEYED PROCESS -> Sink: Unnamed (1/1)#34.
>> >>    at
>> org.apache.flink.streaming.runtime.tasks.StreamTask.triggerCheckpointOnBarrier(StreamTask.java:1045)
>> >>    at
>> org.apache.flink.streaming.runtime.io.checkpointing.CheckpointBarrierHandler.notifyCheckpoint(CheckpointBarrierHandler.java:135)
>> >>    at
>> org.apache.flink.streaming.runtime.io.checkpointing.SingleCheckpointBarrierHandler.triggerCheckpoint(SingleCheckpointBarrierHandler.java:250)
>> >>    at
>> org.apache.flink.streaming.runtime.io.checkpointing.SingleCheckpointBarrierHandler.access$100(SingleCheckpointBarrierHandler.java:61)
>> >>    at
>> org.apache.flink.streaming.runtime.io.checkpointing.SingleCheckpointBarrierHandler$ControllerImpl.triggerGlobalCheckpoint(SingleCheckpointBarrierHandler.java:431)
>> >>    at
>> org.apache.flink.streaming.runtime.io.checkpointing.AbstractAlignedBarrierHandlerState.barrierReceived(AbstractAlignedBarrierHandlerState.java:61)
>> >>    at
>> org.apache.flink.streaming.runtime.io.checkpointing.SingleCheckpointBarrierHandler.processBarrier(SingleCheckpointBarrierHandler.java:227)
>> >>    at
>> org.apache.flink.streaming.runtime.io.checkpointing.CheckpointedInputGate.handleEvent(CheckpointedInputGate.java:180)
>> >>    at
>> org.apache.flink.streaming.runtime.io.checkpointing.CheckpointedInputGate.pollNext(CheckpointedInputGate.java:158)
>> >>    at org.apache.flink.streaming.runtime.io
>> .AbstractStreamTaskNetworkInput.emitNext(AbstractStreamTaskNetworkInput.java:110)
>> >>    at org.apache.flink.streaming.runtime.io
>> .StreamOneInputProcessor.processInput(StreamOneInputProcessor.java:66)
>> >>    at
>> org.apache.flink.streaming.runtime.tasks.StreamTask.processInput(StreamTask.java:423)
>> >>    at
>> org.apache.flink.streaming.runtime.tasks.mailbox.MailboxProcessor.runMailboxLoop(MailboxProcessor.java:204)
>> >>    at
>> org.apache.flink.streaming.runtime.tasks.StreamTask.runMailboxLoop(StreamTask.java:681)
>> >>    at
>> org.apache.flink.streaming.runtime.tasks.StreamTask.executeInvoke(StreamTask.java:636)
>> >>    at
>> org.apache.flink.streaming.runtime.tasks.StreamTask.runWithCleanUpOnFail(StreamTask.java:647)
>> >>    at
>> org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:620)
>> >>    at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:779)
>> >>    at org.apache.flink.runtime.taskmanager.Task.run(Task.java:566)
>> >>    at java.lang.Thread.run(Thread.java:748)
>> >> Caused by: java.lang.RuntimeException: Failed to close remote bundle
>> >>    at
>> org.apache.flink.streaming.api.runners.python.beam.BeamPythonFunctionRunner.finishBundle(BeamPythonFunctionRunner.java:383)
>> >>    at
>> org.apache.flink.streaming.api.runners.python.beam.BeamPythonFunctionRunner.flush(BeamPythonFunctionRunner.java:331)
>> >>    at
>> org.apache.flink.streaming.api.operators.python.AbstractPythonFunctionOperator.invokeFinishBundle(AbstractPythonFunctionOperator.java:320)
>> >>    at
>> org.apache.flink.streaming.api.operators.python.AbstractPythonFunctionOperator.prepareSnapshotPreBarrier(AbstractPythonFunctionOperator.java:175)
>> >>    at
>> org.apache.flink.streaming.runtime.tasks.OperatorChain.prepareSnapshotPreBarrier(OperatorChain.java:415)
>> >>    at
>> org.apache.flink.streaming.runtime.tasks.SubtaskCheckpointCoordinatorImpl.checkpointState(SubtaskCheckpointCoordinatorImpl.java:292)
>> >>    at
>> org.apache.flink.streaming.runtime.tasks.StreamTask.lambda$performCheckpoint$8(StreamTask.java:1089)
>> >>    at
>> org.apache.flink.streaming.runtime.tasks.StreamTaskActionExecutor$1.runThrowing(StreamTaskActionExecutor.java:50)
>> >>    at
>> org.apache.flink.streaming.runtime.tasks.StreamTask.performCheckpoint(StreamTask.java:1073)
>> >>    at
>> org.apache.flink.streaming.runtime.tasks.StreamTask.triggerCheckpointOnBarrier(StreamTask.java:1029)
>> >>    ... 19 more
>> >> Caused by: java.util.concurrent.ExecutionException:
>> org.apache.beam.vendor.grpc.v1p26p0.io.grpc.StatusRuntimeException:
>> CANCELLED: cancelled before receiving half close
>> >>    at
>> java.util.concurrent.CompletableFuture.reportGet(CompletableFuture.java:357)
>> >>    at
>> java.util.concurrent.CompletableFuture.get(CompletableFuture.java:1908)
>> >>    at org.apache.beam.sdk.util.MoreFutures.get(MoreFutures.java:60)
>> >>    at
>> org.apache.beam.runners.fnexecution.control.SdkHarnessClient$BundleProcessor$ActiveBundle.close(SdkHarnessClient.java:504)
>> >>    at
>> org.apache.beam.runners.fnexecution.control.DefaultJobBundleFactory$SimpleStageBundleFactory$1.close(DefaultJobBundleFactory.java:555)
>> >>    at
>> org.apache.flink.streaming.api.runners.python.beam.BeamPythonFunctionRunner.finishBundle(BeamPythonFunctionRunner.java:381)
>> >>    ... 28 more
>> >> Caused by:
>> org.apache.beam.vendor.grpc.v1p26p0.io.grpc.StatusRuntimeException:
>> CANCELLED: cancelled before receiving half close
>> >>    at
>> org.apache.beam.vendor.grpc.v1p26p0.io.grpc.Status.asRuntimeException(Status.java:524)
>> >>    at
>> org.apache.beam.vendor.grpc.v1p26p0.io.grpc.stub.ServerCalls$StreamingServerCallHandler$StreamingServerCallListener.onCancel(ServerCalls.java:275)
>> >>    at
>> org.apache.beam.vendor.grpc.v1p26p0.io.grpc.PartialForwardingServerCallListener.onCancel(PartialForwardingServerCallListener.java:40)
>> >>    at
>> org.apache.beam.vendor.grpc.v1p26p0.io.grpc.ForwardingServerCallListener.onCancel(ForwardingServerCallListener.java:23)
>> >>    at
>> org.apache.beam.vendor.grpc.v1p26p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onCancel(ForwardingServerCallListener.java:40)
>> >>    at
>> org.apache.beam.vendor.grpc.v1p26p0.io.grpc.Contexts$ContextualizedServerCallListener.onCancel(Contexts.java:96)
>> >>    at
>> org.apache.beam.vendor.grpc.v1p26p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.closedInternal(ServerCallImpl.java:353)
>> >>    at
>> org.apache.beam.vendor.grpc.v1p26p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.closed(ServerCallImpl.java:341)
>> >>    at
>> org.apache.beam.vendor.grpc.v1p26p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1Closed.runInContext(ServerImpl.java:867)
>> >>    at
>> org.apache.beam.vendor.grpc.v1p26p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
>> >>    at
>> org.apache.beam.vendor.grpc.v1p26p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
>> >>    at
>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
>> >>    at
>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
>> >>    ... 1 more
>> >>
>> >> 2021-09-22 16:18:14,410 INFO org.apache.flink.runtime.taskmanager.Task
>> [] - Freeing task resources for KEYED PROCESS -> Sink: Unnamed (1/1)#34
>> (8f4fd40e863dd058822060dc3cf98831).
>> >> 2021-09-22 16:18:14,411 INFO
>> org.apache.flink.runtime.taskexecutor.TaskExecutor [] - Un-registering task
>> and sending final execution state FAILED to JobManager for task KEYED
>> PROCESS -> Sink: Unnamed (1/1)#34 8f4fd40e863dd058822060dc3cf98831.
>> >> 2021-09-22 16:18:14,426 INFO org.apache.flink.runtime.taskmanager.Task
>> [] - Attempting to cancel task Source: Custom Source ->
>> _stream_key_by_map_operator (1/1)#34 (290905523bfbf344381b7a04a8d36831).
>> >> 2021-09-22 16:18:14,426 INFO org.apache.flink.runtime.taskmanager.Task
>> [] - Source: Custom Source -> _stream_key_by_map_operator (1/1)#34
>> (290905523bfbf344381b7a04a8d36831) switched from RUNNING to CANCELING.
>> >> 2021-09-22 16:18:14,426 INFO org.apache.flink.runtime.taskmanager.Task
>> [] - Triggering cancellation of task code Source: Custom Source ->
>> _stream_key_by_map_operator (1/1)#34 (290905523bfbf344381b7a04a8d36831).
>> >> 2021-09-22 16:18:14,428 INFO org.apache.flink.runtime.taskmanager.Task
>> [] - Ignoring checkpoint aborted notification for non-running task Source:
>> Custom Source -> _stream_key_by_map_operator (1/1)#34.
>> >> 2021-09-22 16:18:14,430 INFO org.apache.kafka.common.metrics.Metrics
>> [] - Metrics scheduler closed
>> >> 2021-09-22 16:18:14,430 INFO org.apache.kafka.common.metrics.Metrics
>> [] - Closing reporter org.apache.kafka.common.metrics.JmxReporter
>> >> 2021-09-22 16:18:14,430 INFO org.apache.kafka.common.metrics.Metrics
>> [] - Metrics reporters closed
>> >>
>> >>
>> >> And, here is some source code:
>> >>
>> >> class DedupeFunction(FlatMapFunction):
>> >>    def __init__(self, schema):
>> >>        super().__init__()
>> >>        self.logger = None
>> >>        self.state = None
>> >>        self.my_state = None
>> >>        self.schema = schema
>> >>        self.metric_columns = [c.column_name for c in schema.columns if
>> c.is_metric]
>> >>
>> >>    def open(self, runtime_context: RuntimeContext):
>> >>        self.logger = logging
>> >>        self.logger.info('Opening the FlatMapFunction')
>> >>        descriptor = MapStateDescriptor("my_map_state_descriptor",
>> Types.PICKLED_BYTE_ARRAY(), Types.PICKLED_BYTE_ARRAY())
>> >>        self.state = runtime_context.get_map_state(descriptor)
>> >>
>> >>    def flat_map(self, value):
>> >>        try:
>> >>            if not self.state.is_empty():
>> >>                # self.logger.info('key in state')
>> >>                previous_dict = {}
>> >>                for k, v in self.state.items():
>> >>                    # reverse the metric columns
>> >>                    if k in self.metric_columns:
>> >>                        if v:
>> >>                            v = -v
>> >>                    previous_dict[k] = v
>> >>                yield Row(**previous_dict)
>> >>            new_dict = value.as_dict()
>> >>            self.state.put_all(new_dict.items())
>> >>            yield value
>> >>        except Exception as ex:
>> >>            self.logger.error(f'ERROR in dedupe_datastream: {str(ex)}')
>> >>
>> >> class PrimaryKeySelector(KeySelector):
>> >>
>> >>    def __init__(self, primary_key):
>> >>        self.__primary_key__ = primary_key
>> >>
>> >>    def get_key(self, kv_obj):
>> >>        return kv_obj.as_dict().get(self.__primary_key__)
>> >>
>> >>
>> >>
>> >> backend = RocksDBStateBackend(self.__conf__.get('CHECKPOINT_DIR'))
>> >>
>> >> self.__env__.set_state_backend(backend)
>> >>
>> >>
>> >> input_ds = input_ds.key_by(PrimaryKeySelector(self.__primary_key__),
>> key_type_info=primary_key_type_info)
>> >>
>> >> deduped_ds = input_ds.flat_map(DedupeFunction(self.__schema__),
>> output_type=type_info)
>> >>
>> >>
>> >> This program works fine if checkpointing is not enabled. Any advice
>> here?
>> >>
>> >>
>> >> Thanks
>>
>>

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