[BEAM-7938] ProtoCoder <T extends Message> throws NoSuchMethodException: com.google.protobuf.Message.getDefaultInstance()

• Type: Bug
• Status: Open
• Priority: P3
• Resolution: Unresolved
• Affects Version/s: 2.14.0
• Component/s: extensions-java-protobuf, io-java-files, io-java-gcp, io-java-parquet
• Labels: newbie starter
• Assignee: Unassigned
• Reporter: Lien Michiels
• Created: 09/Aug/19 13:31
• Updated: 04/Jun/22 12:53

Description

Context

I have a beam pipeline running on DataFlow using the Java SDK that pulls Proto wrapper messages from a PubSub subscription, I partition these by the OneOf-value and then apply a MapElements to extract the underlying Proto message, so that I end up with a PCollectionList<T extends Message>. I then do some more processing and try to write them to different sinks. BigQueryIO works absolutely fine. However when I try to use the PubsubIO or ParquetIO, I end up with this error when using FileIO (for Parquet): 

 

java.lang.IllegalArgumentException: java.lang.NoSuchMethodException: com.google.protobuf.Message.getDefaultInstance() org.apache.beam.sdk.extensions.protobuf.ProtoCoder.getParser(ProtoCoder.java:288) org.apache.beam.sdk.extensions.protobuf.ProtoCoder.decode(ProtoCoder.java:192) org.apache.beam.sdk.extensions.protobuf.ProtoCoder.decode(ProtoCoder.java:108) org.apache.beam.runners.dataflow.worker.WindmillKeyedWorkItem.lambda$elementsIterable$2(WindmillKeyedWorkItem.java:107) org.apache.beam.vendor.guava.v20_0.com.google.common.collect.Iterators$7.transform(Iterators.java:750) org.apache.beam.vendor.guava.v20_0.com.google.common.collect.TransformedIterator.next(TransformedIterator.java:47) java.base/java.util.Iterator.forEachRemaining(Iterator.java:133) java.base/java.util.Spliterators$IteratorSpliterator.forEachRemaining(Spliterators.java:1801) java.base/java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:484) java.base/java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:474) java.base/java.util.stream.ReduceOps$ReduceOp.evaluateSequential(ReduceOps.java:913) java.base/java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:234) java.base/java.util.stream.ReferencePipeline.collect(ReferencePipeline.java:578) org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.LateDataDroppingDoFnRunner$LateDataFilter.filter(LateDataDroppingDoFnRunner.java:128) org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.LateDataDroppingDoFnRunner.processElement(LateDataDroppingDoFnRunner.java:76) org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowsParDoFn.processElement(GroupAlsoByWindowsParDoFn.java:134) org.apache.beam.runners.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:44) org.apache.beam.runners.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:49) org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:201) org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.start(ReadOperation.java:159) org.apache.beam.runners.dataflow.worker.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:77) org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker.process(StreamingDataflowWorker.java:1287) org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker.access$1000(StreamingDataflowWorker.java:149) org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker$6.run(StreamingDataflowWorker.java:1024) java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128) java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628) java.base/java.lang.Thread.run(Thread.java:834)

 

and this for PubsubIO:

 

java.lang.IllegalArgumentException: java.lang.NoSuchMethodException: com.google.protobuf.Message.getDefaultInstance() org.apache.beam.sdk.extensions.protobuf.ProtoCoder.getParser(ProtoCoder.java:288) org.apache.beam.sdk.extensions.protobuf.ProtoCoder.decode(ProtoCoder.java:192) org.apache.beam.sdk.extensions.protobuf.ProtoCoder.decode(ProtoCoder.java:108) org.apache.beam.runners.dataflow.worker.WindmillKeyedWorkItem.lambda$elementsIterable$2(WindmillKeyedWorkItem.java:107) org.apache.beam.vendor.guava.v20_0.com.google.common.collect.Iterators$7.transform(Iterators.java:750) org.apache.beam.vendor.guava.v20_0.com.google.common.collect.TransformedIterator.next(TransformedIterator.java:47) java.base/java.util.Iterator.forEachRemaining(Iterator.java:133) java.base/java.util.Spliterators$IteratorSpliterator.forEachRemaining(Spliterators.java:1801) java.base/java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:484) java.base/java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:474) java.base/java.util.stream.ReduceOps$ReduceOp.evaluateSequential(ReduceOps.java:913) java.base/java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:234) java.base/java.util.stream.ReferencePipeline.collect(ReferencePipeline.java:578) org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.LateDataDroppingDoFnRunner$LateDataFilter.filter(LateDataDroppingDoFnRunner.java:128) org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.LateDataDroppingDoFnRunner.processElement(LateDataDroppingDoFnRunner.java:76) org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowsParDoFn.processElement(GroupAlsoByWindowsParDoFn.java:134) org.apache.beam.runners.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:44) org.apache.beam.runners.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:49) org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:201) org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.start(ReadOperation.java:159) org.apache.beam.runners.dataflow.worker.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:77) org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker.process(StreamingDataflowWorker.java:1287) org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker.access$1000(StreamingDataflowWorker.java:149) org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker$6.run(StreamingDataflowWorker.java:1024) java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128) java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628) java.base/java.lang.Thread.run(Thread.java:834)

 

Source Code for Error

ProtoCoder.java (lines 278-292: https://github.com/apache/beam/blob/968a80611d424764962e79b726bfa4fd17ced104/sdks/java/extensions/protobuf/src/main/java/org/apache/beam/sdk/extensions/protobuf/ProtoCoder.java#L278)

/** Get the memoized {@link Parser}, possibly initializing it lazily. */ private Parser<T> getParser() { if (memoizedParser == null) { try { @SuppressWarnings("unchecked") T protoMessageInstance = (T) protoMessageClass.getMethod("getDefaultInstance").invoke(null); @SuppressWarnings("unchecked") Parser<T> tParser = (Parser<T>) protoMessageInstance.getParserForType(); memoizedParser = tParser; } catch (IllegalAccessException | InvocationTargetException | NoSuchMethodException e) { throw new IllegalArgumentException(e); } } return memoizedParser; }

 Potential Solution?

I am guessing the "hack" they propose on Stackoverflow (https://stackoverflow.com/questions/44134712/generic-protobuf-deserializer-in-java) could potentially solve the problem?

ParameterizedType pType = (ParameterizedType) subclass.getGenericSuperclass(); Class<T> tClass = (Class<T>) pType.getActualTypeArguments()[0]; // In the case where the constructor for `T` takes no arguments. parser = tClass.newInstance().getParserForType();

 

Thank you for taking the time to read this. I'd be more than happy to contribute to a solution, but I'm not a Proto/Beam or even Java super-user so I would need some assistance.