Lien Michiels created BEAM-7938:
-----------------------------------
Summary: ProtoCoder <T extends Message> throws
NoSuchMethodException: com.google.protobuf.Message.getDefailtInstance()
Key: BEAM-7938
URL: https://issues.apache.org/jira/browse/BEAM-7938
Project: Beam
Issue Type: Bug
Components: io-java-files, io-java-gcp, io-java-parquet, sdk-java-core
Affects Versions: 2.14.0
Reporter: Lien Michiels
h3. 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):
{code:java}
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)
{code}
and this for PubsubIO:
{code:java}
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)
{code}
h3. 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)
{code:java}
/** 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; }
{code}
h3. 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?
{code:java}
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();
{code}
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.
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