Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

[Bug]: error when trying to serialize headers with LongString #31397

Closed
2 of 16 tasks
devfreitag opened this issue May 24, 2024 · 1 comment · Fixed by #31618
Closed
2 of 16 tasks

[Bug]: error when trying to serialize headers with LongString #31397

devfreitag opened this issue May 24, 2024 · 1 comment · Fixed by #31618
Assignees
@Amar3tto
Labels
bug dataflow java P2
Milestone
2.58.0 Release

Comments

@devfreitag
Copy link

devfreitag commented May 24, 2024 •
edited
Loading

What happened?

Apache Beam version: 2.55.0
Java version: 17

When attempting to read messages from RabbitMQ with List type headers (streaming dataflow), a NotSerializableException error is being returned.

Example:
image

If the headers are String, Number, or Boolean, it works normally. I have tried using a CustomCoder with .setCoder(new CustomCoder()) to try to avoid the headers that are not important in this case, but it appears to throw the error before reaching this coder.

Code:

PCollection<RabbitMqMessage> rabbitMessagesCollection = pipeline
            .apply("Read RabbitMQ Messages", RabbitMqIO.read()
                    .withUri(options.getRabbitURI())
                    .withQueue(options.getInputQueue()))

Stacktrace:

Error message from worker: java.lang.IllegalArgumentException: Unable to encode element 'ValueWithRecordId{id=[], value=org.apache.beam.sdk.io.rabbitmq.RabbitMqMessage@f9a0d014}' with coder 'ValueWithRecordId$ValueWithRecordIdCoder(SerializableCoder(org.apache.beam.sdk.io.rabbitmq.RabbitMqMessage))'.
        org.apache.beam.sdk.coders.Coder.getEncodedElementByteSize(Coder.java:300)
        org.apache.beam.sdk.coders.Coder.registerByteSizeObserver(Coder.java:291)
        org.apache.beam.sdk.util.WindowedValue$FullWindowedValueCoder.registerByteSizeObserver(WindowedValue.java:642)
        org.apache.beam.sdk.util.WindowedValue$FullWindowedValueCoder.registerByteSizeObserver(WindowedValue.java:558)
        org.apache.beam.runners.dataflow.worker.IntrinsicMapTaskExecutorFactory$ElementByteSizeObservableCoder.registerByteSizeObserver(IntrinsicMapTaskExecutorFactory.java:384)
        org.apache.beam.runners.dataflow.worker.util.common.worker.OutputObjectAndByteCounter.update(OutputObjectAndByteCounter.java:128)
        org.apache.beam.runners.dataflow.worker.DataflowOutputCounter.update(DataflowOutputCounter.java:67)
        org.apache.beam.runners.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:48)
        org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:218)
        org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.start(ReadOperation.java:169)
        org.apache.beam.runners.dataflow.worker.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:83)
        org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker.process(StreamingDataflowWorker.java:1263)
        org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker.lambda$scheduleWorkItem$11(StreamingDataflowWorker.java:999)
        org.apache.beam.runners.dataflow.worker.streaming.Work.run(Work.java:81)
        org.apache.beam.runners.dataflow.worker.util.BoundedQueueExecutor.lambda$executeLockHeld$0(BoundedQueueExecutor.java:183)
        java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)
        java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)
        java.base/java.lang.Thread.run(Thread.java:833)
Caused by: java.io.NotSerializableException: com.rabbitmq.client.impl.LongStringHelper$ByteArrayLongString
        java.base/java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1187)
        java.base/java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:350)
        java.base/java.util.ArrayList.writeObject(ArrayList.java:866)
        java.base/jdk.internal.reflect.GeneratedMethodAccessor62.invoke(Unknown Source)
        java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        java.base/java.lang.reflect.Method.invoke(Method.java:568)
        java.base/java.io.ObjectStreamClass.invokeWriteObject(ObjectStreamClass.java:1070)
        java.base/java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1516)
        java.base/java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1438)
        java.base/java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1181)
        java.base/java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:350)
        java.base/java.util.HashMap.internalWriteEntries(HashMap.java:1944)
        java.base/java.util.HashMap.writeObject(HashMap.java:1497)
        java.base/jdk.internal.reflect.GeneratedMethodAccessor61.invoke(Unknown Source)
        java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        java.base/java.lang.reflect.Method.invoke(Method.java:568)
        java.base/java.io.ObjectStreamClass.invokeWriteObject(ObjectStreamClass.java:1070)
        java.base/java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1516)
        java.base/java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1438)
        java.base/java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1181)
        java.base/java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1572)
        java.base/java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1529)
        java.base/java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1438)
        java.base/java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1181)
        java.base/java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1572)
        java.base/java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1529)
        java.base/java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1438)
        java.base/java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1181)
        java.base/java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:350)
        org.apache.beam.sdk.coders.SerializableCoder.encode(SerializableCoder.java:192)
        org.apache.beam.sdk.coders.SerializableCoder.encode(SerializableCoder.java:57)
        org.apache.beam.sdk.values.ValueWithRecordId$ValueWithRecordIdCoder.encode(ValueWithRecordId.java:106)
        org.apache.beam.sdk.values.ValueWithRecordId$ValueWithRecordIdCoder.encode(ValueWithRecordId.java:100)
        org.apache.beam.sdk.values.ValueWithRecordId$ValueWithRecordIdCoder.encode(ValueWithRecordId.java:82)
        org.apache.beam.sdk.coders.Coder.getEncodedElementByteSize(Coder.java:297)
        org.apache.beam.sdk.coders.Coder.registerByteSizeObserver(Coder.java:291)
        org.apache.beam.sdk.util.WindowedValue$FullWindowedValueCoder.registerByteSizeObserver(WindowedValue.java:642)
        org.apache.beam.sdk.util.WindowedValue$FullWindowedValueCoder.registerByteSizeObserver(WindowedValue.java:558)
        org.apache.beam.runners.dataflow.worker.IntrinsicMapTaskExecutorFactory$ElementByteSizeObservableCoder.registerByteSizeObserver(IntrinsicMapTaskExecutorFactory.java:384)
        org.apache.beam.runners.dataflow.worker.util.common.worker.OutputObjectAndByteCounter.update(OutputObjectAndByteCounter.java:128)
        org.apache.beam.runners.dataflow.worker.DataflowOutputCounter.update(DataflowOutputCounter.java:67)
        org.apache.beam.runners.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:48)
        org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:218)
        org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.start(ReadOperation.java:169)
        org.apache.beam.runners.dataflow.worker.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:83)
        org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker.process(StreamingDataflowWorker.java:1263)
        org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker.lambda$scheduleWorkItem$11(StreamingDataflowWorker.java:999)
        org.apache.beam.runners.dataflow.worker.streaming.Work.run(Work.java:81)
        org.apache.beam.runners.dataflow.worker.util.BoundedQueueExecutor.lambda$executeLockHeld$0(BoundedQueueExecutor.java:183)
        java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)
        java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)
        java.base/java.lang.Thread.run(Thread.java:833)

Issue Priority

Priority: 2 (default / most bugs should be filed as P2)

Issue Components

  • Component: Python SDK
  • Component: Java SDK
  • Component: Go SDK
  • Component: Typescript SDK
  • Component: IO connector
  • Component: Beam YAML
  • Component: Beam examples
  • Component: Beam playground
  • Component: Beam katas
  • Component: Website
  • Component: Spark Runner
  • Component: Flink Runner
  • Component: Samza Runner
  • Component: Twister2 Runner
  • Component: Hazelcast Jet Runner
  • Component: Google Cloud Dataflow Runner
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees

@Amar3tto Amar3tto

Labels
bug dataflow java P2
Projects
None yet
Milestone
2.58.0 Release
Development

Successfully merging a pull request may close this issue.

RabbitIO: fix serialization for list type headers akvelon/beam
2 participants
@Amar3tto @devfreitag