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Beam JIRA Bot commented on BEAM-6782: ------------------------------------- This issue is P2 but has been unassigned without any comment for 60 days so it has been labeled "stale-P2". If this issue is still affecting you, we care! Please comment and remove the label. Otherwise, in 14 days the issue will be moved to P3. Please see https://beam.apache.org/contribute/jira-priorities/ for a detailed explanation of what these priorities mean. > Error messages for generatedPtransforms errors confusing > -------------------------------------------------------- > > Key: BEAM-6782 > URL: https://issues.apache.org/jira/browse/BEAM-6782 > Project: Beam > Issue Type: New Feature > Components: java-fn-execution > Reporter: Alex Amato > Priority: P2 > Labels: stale-P2 > > The generated tranform names in the SDK are really confusing, they don't > really reflect an error the user is familiar with. > Updating this error printing to print the known user step name would improve > this significantly > TypeError: 'int' object is not iterable [while running > 'generatedPtransform-70'] > java.util.concurrent.ExecutionException: java.lang.RuntimeException: Error > received from SDK harness for instruction -82: Traceback (most recent call > last): > File > "/usr/local/lib/python2.7/dist-packages/apache_beam/runners/worker/sdk_worker.py", > line 151, in _execute > response = task() > File > "/usr/local/lib/python2.7/dist-packages/apache_beam/runners/worker/sdk_worker.py", > line 186, in <lambda> > self._execute(lambda: worker.do_instruction(work), work) > File > "/usr/local/lib/python2.7/dist-packages/apache_beam/runners/worker/sdk_worker.py", > line 265, in do_instruction > request.instruction_id) > File > "/usr/local/lib/python2.7/dist-packages/apache_beam/runners/worker/sdk_worker.py", > line 281, in process_bundle > delayed_applications = bundle_processor.process_bundle(instruction_id) > File > "/usr/local/lib/python2.7/dist-packages/apache_beam/runners/worker/bundle_processor.py", > line 549, in process_bundle > ].process_encoded(data.data) > File > "/usr/local/lib/python2.7/dist-packages/apache_beam/runners/worker/bundle_processor.py", > line 140, in process_encoded > self.output(decoded_value) > File "apache_beam/runners/worker/operations.py", line 222, in > apache_beam.runners.worker.operations.Operation.output > def output(self, windowed_value, output_index=0): > File "apache_beam/runners/worker/operations.py", line 223, in > apache_beam.runners.worker.operations.Operation.output > cython.cast(Receiver, self.receivers[output_index]).receive(windowed_value) > File "apache_beam/runners/worker/operations.py", line 131, in > apache_beam.runners.worker.operations.SingletonConsumerSet.receive > self.consumer.process(windowed_value) > File "apache_beam/runners/worker/operations.py", line 537, in > apache_beam.runners.worker.operations.DoOperation.process > with self.scoped_process_state: > File "apache_beam/runners/worker/operations.py", line 538, in > apache_beam.runners.worker.operations.DoOperation.process > delayed_application = self.dofn_receiver.receive(o) > File "apache_beam/runners/common.py", line 723, in > apache_beam.runners.common.DoFnRunner.receive > self.process(windowed_value) > File "apache_beam/runners/common.py", line 729, in > apache_beam.runners.common.DoFnRunner.process > self._reraise_augmented(exn) > File "apache_beam/runners/common.py", line 762, in > apache_beam.runners.common.DoFnRunner._reraise_augmented > raise > File "apache_beam/runners/common.py", line 727, in > apache_beam.runners.common.DoFnRunner.process > return self.do_fn_invoker.invoke_process(windowed_value) > File "apache_beam/runners/common.py", line 418, in > apache_beam.runners.common.SimpleInvoker.invoke_process > output_processor.process_outputs( > File "apache_beam/runners/common.py", line 847, in > apache_beam.runners.common._OutputProcessor.process_outputs > self.main_receivers.receive(windowed_value) > File "apache_beam/runners/worker/operations.py", line 131, in > apache_beam.runners.worker.operations.SingletonConsumerSet.receive > self.consumer.process(windowed_value) > File "apache_beam/runners/worker/operations.py", line 537, in > apache_beam.runners.worker.operations.DoOperation.process > with self.scoped_process_state: > File "apache_beam/runners/worker/operations.py", line 538, in > apache_beam.runners.worker.operations.DoOperation.process > delayed_application = self.dofn_receiver.receive(o) > File "apache_beam/runners/common.py", line 723, in > apache_beam.runners.common.DoFnRunner.receive > self.process(windowed_value) > File "apache_beam/runners/common.py", line 729, in > apache_beam.runners.common.DoFnRunner.process > self._reraise_augmented(exn) > File "apache_beam/runners/common.py", line 762, in > apache_beam.runners.common.DoFnRunner._reraise_augmented > raise > File "apache_beam/runners/common.py", line 727, in > apache_beam.runners.common.DoFnRunner.process > return self.do_fn_invoker.invoke_process(windowed_value) > File "apache_beam/runners/common.py", line 418, in > apache_beam.runners.common.SimpleInvoker.invoke_process > output_processor.process_outputs( > File "apache_beam/runners/common.py", line 847, in > apache_beam.runners.common._OutputProcessor.process_outputs > self.main_receivers.receive(windowed_value) > File "apache_beam/runners/worker/operations.py", line 131, in > apache_beam.runners.worker.operations.SingletonConsumerSet.receive > self.consumer.process(windowed_value) > File "apache_beam/runners/worker/operations.py", line 537, in > apache_beam.runners.worker.operations.DoOperation.process > with self.scoped_process_state: > File "apache_beam/runners/worker/operations.py", line 538, in > apache_beam.runners.worker.operations.DoOperation.process > delayed_application = self.dofn_receiver.receive(o) > File "apache_beam/runners/common.py", line 723, in > apache_beam.runners.common.DoFnRunner.receive > self.process(windowed_value) > File "apache_beam/runners/common.py", line 729, in > apache_beam.runners.common.DoFnRunner.process > self._reraise_augmented(exn) > File "apache_beam/runners/common.py", line 762, in > apache_beam.runners.common.DoFnRunner._reraise_augmented > raise > File "apache_beam/runners/common.py", line 727, in > apache_beam.runners.common.DoFnRunner.process > return self.do_fn_invoker.invoke_process(windowed_value) > File "apache_beam/runners/common.py", line 418, in > apache_beam.runners.common.SimpleInvoker.invoke_process > output_processor.process_outputs( > File "apache_beam/runners/common.py", line 847, in > apache_beam.runners.common._OutputProcessor.process_outputs > self.main_receivers.receive(windowed_value) > File "apache_beam/runners/worker/operations.py", line 131, in > apache_beam.runners.worker.operations.SingletonConsumerSet.receive > self.consumer.process(windowed_value) > File "apache_beam/runners/worker/operations.py", line 537, in > apache_beam.runners.worker.operations.DoOperation.process > with self.scoped_process_state: > File "apache_beam/runners/worker/operations.py", line 538, in > apache_beam.runners.worker.operations.DoOperation.process > delayed_application = self.dofn_receiver.receive(o) > File "apache_beam/runners/common.py", line 723, in > apache_beam.runners.common.DoFnRunner.receive > self.process(windowed_value) > File "apache_beam/runners/common.py", line 729, in > apache_beam.runners.common.DoFnRunner.process > self._reraise_augmented(exn) > File "apache_beam/runners/common.py", line 762, in > apache_beam.runners.common.DoFnRunner._reraise_augmented > raise > File "apache_beam/runners/common.py", line 727, in > apache_beam.runners.common.DoFnRunner.process > return self.do_fn_invoker.invoke_process(windowed_value) > File "apache_beam/runners/common.py", line 418, in > apache_beam.runners.common.SimpleInvoker.invoke_process > output_processor.process_outputs( > File "apache_beam/runners/common.py", line 847, in > apache_beam.runners.common._OutputProcessor.process_outputs > self.main_receivers.receive(windowed_value) > File "apache_beam/runners/worker/operations.py", line 131, in > apache_beam.runners.worker.operations.SingletonConsumerSet.receive > self.consumer.process(windowed_value) > File "apache_beam/runners/worker/operations.py", line 537, in > apache_beam.runners.worker.operations.DoOperation.process > with self.scoped_process_state: > File "apache_beam/runners/worker/operations.py", line 538, in > apache_beam.runners.worker.operations.DoOperation.process > delayed_application = self.dofn_receiver.receive(o) > File "apache_beam/runners/common.py", line 723, in > apache_beam.runners.common.DoFnRunner.receive > self.process(windowed_value) > File "apache_beam/runners/common.py", line 729, in > apache_beam.runners.common.DoFnRunner.process > self._reraise_augmented(exn) > File "apache_beam/runners/common.py", line 777, in > apache_beam.runners.common.DoFnRunner._reraise_augmented > raise_with_traceback(new_exn) > File "apache_beam/runners/common.py", line 727, in > apache_beam.runners.common.DoFnRunner.process > return self.do_fn_invoker.invoke_process(windowed_value) > File "apache_beam/runners/common.py", line 418, in > apache_beam.runners.common.SimpleInvoker.invoke_process > output_processor.process_outputs( > File "apache_beam/runners/common.py", line 823, in > apache_beam.runners.common._OutputProcessor.process_outputs > for result in results: > TypeError: 'int' object is not iterable [while running > 'generatedPtransform-70'] > at > java.util.concurrent.CompletableFuture.reportGet(CompletableFuture.java:357) > at java.util.concurrent.CompletableFuture.get(CompletableFuture.java:1895) > at org.apache.beam.sdk.util.MoreFutures.get(MoreFutures.java:57) > at > org.apache.beam.runners.dataflow.worker.fn.control.RegisterAndProcessBundleOperation.finish(RegisterAndProcessBundleOperation.java:281) > at > org.apache.beam.runners.dataflow.worker.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:85) > at > org.apache.beam.runners.dataflow.worker.fn.control.BeamFnMapTaskExecutor.execute(BeamFnMapTaskExecutor.java:125) > at > org.apache.beam.runners.dataflow.worker.BatchDataflowWorker.executeWork(BatchDataflowWorker.java:411) > at > org.apache.beam.runners.dataflow.worker.BatchDataflowWorker.doWork(BatchDataflowWorker.java:380) > at > org.apache.beam.runners.dataflow.worker.BatchDataflowWorker.getAndPerformWork(BatchDataflowWorker.java:306) > at > org.apache.beam.runners.dataflow.worker.DataflowRunnerHarness.start(DataflowRunnerHarness.java:195) > at > org.apache.beam.runners.dataflow.worker.DataflowRunnerHarness.main(DataflowRunnerHarness.java:123) > Suppressed: java.lang.IllegalStateException: Already closed. > at > org.apache.beam.sdk.fn.data.BeamFnDataBufferingOutboundObserver.close(BeamFnDataBufferingOutboundObserver.java:95) > at > org.apache.beam.runners.dataflow.worker.fn.data.RemoteGrpcPortWriteOperation.abort(RemoteGrpcPortWriteOperation.java:215) > at > org.apache.beam.runners.dataflow.worker.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:91) > ... 6 more > Caused by: java.lang.RuntimeException: Error received from SDK harness for > instruction -82: Traceback (most recent call last): > File > "/usr/local/lib/python2.7/dist-packages/apache_beam/runners/worker/sdk_worker.py", > line 151, in _execute > response = task() > File > "/usr/local/lib/python2.7/dist-packages/apache_beam/runners/worker/sdk_worker.py", > line 186, in <lambda> > self._execute(lambda: worker.do_instruction(work), work) > File > "/usr/local/lib/python2.7/dist-packages/apache_beam/runners/worker/sdk_worker.py", > line 265, in do_instruction > request.instruction_id) > File > "/usr/local/lib/python2.7/dist-packages/apache_beam/runners/worker/sdk_worker.py", > line 281, in process_bundle > delayed_applications = bundle_processor.process_bundle(instruction_id) > File > "/usr/local/lib/python2.7/dist-packages/apache_beam/runners/worker/bundle_processor.py", > line 549, in process_bundle > ].process_encoded(data.data) > File > "/usr/local/lib/python2.7/dist-packages/apache_beam/runners/worker/bundle_processor.py", > line 140, in process_encoded > self.output(decoded_value) > File "apache_beam/runners/worker/operations.py", line 222, in > apache_beam.runners.worker.operations.Operation.output > def output(self, windowed_value, output_index=0): > File "apache_beam/runners/worker/operations.py", line 223, in > apache_beam.runners.worker.operations.Operation.output > cython.cast(Receiver, self.receivers[output_index]).receive(windowed_value) > File "apache_beam/runners/worker/operations.py", line 131, in > apache_beam.runners.worker.operations.SingletonConsumerSet.receive > self.consumer.process(windowed_value) > File "apache_beam/runners/worker/operations.py", line 537, in > apache_beam.runners.worker.operations.DoOperation.process > with self.scoped_process_state: > File "apache_beam/runners/worker/operations.py", line 538, in > apache_beam.runners.worker.operations.DoOperation.process > delayed_application = self.dofn_receiver.receive(o) > File "apache_beam/runners/common.py", line 723, in > apache_beam.runners.common.DoFnRunner.receive > self.process(windowed_value) > File "apache_beam/runners/common.py", line 729, in > apache_beam.runners.common.DoFnRunner.process > self._reraise_augmented(exn) > File "apache_beam/runners/common.py", line 762, in > apache_beam.runners.common.DoFnRunner._reraise_augmented > raise > File "apache_beam/runners/common.py", line 727, in > apache_beam.runners.common.DoFnRunner.process > return self.do_fn_invoker.invoke_process(windowed_value) > File "apache_beam/runners/common.py", line 418, in > apache_beam.runners.common.SimpleInvoker.invoke_process > output_processor.process_outputs( > File "apache_beam/runners/common.py", line 847, in > apache_beam.runners.common._OutputProcessor.process_outputs > self.main_receivers.receive(windowed_value) > File "apache_beam/runners/worker/operations.py", line 131, in > apache_beam.runners.worker.operations.SingletonConsumerSet.receive > self.consumer.process(windowed_value) > File "apache_beam/runners/worker/operations.py", line 537, in > apache_beam.runners.worker.operations.DoOperation.process > with self.scoped_process_state: > File "apache_beam/runners/worker/operations.py", line 538, in > apache_beam.runners.worker.operations.DoOperation.process > delayed_application = self.dofn_receiver.receive(o) > File "apache_beam/runners/common.py", line 723, in > apache_beam.runners.common.DoFnRunner.receive > self.process(windowed_value) > File "apache_beam/runners/common.py", line 729, in > apache_beam.runners.common.DoFnRunner.process > self._reraise_augmented(exn) > File "apache_beam/runners/common.py", line 762, in > apache_beam.runners.common.DoFnRunner._reraise_augmented > raise > File "apache_beam/runners/common.py", line 727, in > apache_beam.runners.common.DoFnRunner.process > return self.do_fn_invoker.invoke_process(windowed_value) > File "apache_beam/runners/common.py", line 418, in > apache_beam.runners.common.SimpleInvoker.invoke_process > output_processor.process_outputs( > File "apache_beam/runners/common.py", line 847, in > apache_beam.runners.common._OutputProcessor.process_outputs > self.main_receivers.receive(windowed_value) > File "apache_beam/runners/worker/operations.py", line 131, in > apache_beam.runners.worker.operations.SingletonConsumerSet.receive > self.consumer.process(windowed_value) > File "apache_beam/runners/worker/operations.py", line 537, in > apache_beam.runners.worker.operations.DoOperation.process > with self.scoped_process_state: > File "apache_beam/runners/worker/operations.py", line 538, in > apache_beam.runners.worker.operations.DoOperation.process > delayed_application = self.dofn_receiver.receive(o) > File "apache_beam/runners/common.py", line 723, in > apache_beam.runners.common.DoFnRunner.receive > self.process(windowed_value) > File "apache_beam/runners/common.py", line 729, in > apache_beam.runners.common.DoFnRunner.process > self._reraise_augmented(exn) > File "apache_beam/runners/common.py", line 762, in > apache_beam.runners.common.DoFnRunner._reraise_augmented > raise > File "apache_beam/runners/common.py", line 727, in > apache_beam.runners.common.DoFnRunner.process > return self.do_fn_invoker.invoke_process(windowed_value) > File "apache_beam/runners/common.py", line 418, in > apache_beam.runners.common.SimpleInvoker.invoke_process > output_processor.process_outputs( > File "apache_beam/runners/common.py", line 847, in > apache_beam.runners.common._OutputProcessor.process_outputs > self.main_receivers.receive(windowed_value) > File "apache_beam/runners/worker/operations.py", line 131, in > apache_beam.runners.worker.operations.SingletonConsumerSet.receive > self.consumer.process(windowed_value) > File "apache_beam/runners/worker/operations.py", line 537, in > apache_beam.runners.worker.operations.DoOperation.process > with self.scoped_process_state: > File "apache_beam/runners/worker/operations.py", line 538, in > apache_beam.runners.worker.operations.DoOperation.process > delayed_application = self.dofn_receiver.receive(o) > File "apache_beam/runners/common.py", line 723, in > apache_beam.runners.common.DoFnRunner.receive > self.process(windowed_value) > File "apache_beam/runners/common.py", line 729, in > apache_beam.runners.common.DoFnRunner.process > self._reraise_augmented(exn) > File "apache_beam/runners/common.py", line 762, in > apache_beam.runners.common.DoFnRunner._reraise_augmented > raise > File "apache_beam/runners/common.py", line 727, in > apache_beam.runners.common.DoFnRunner.process > return self.do_fn_invoker.invoke_process(windowed_value) > File "apache_beam/runners/common.py", line 418, in > apache_beam.runners.common.SimpleInvoker.invoke_process > output_processor.process_outputs( > File "apache_beam/runners/common.py", line 847, in > apache_beam.runners.common._OutputProcessor.process_outputs > self.main_receivers.receive(windowed_value) > File "apache_beam/runners/worker/operations.py", line 131, in > apache_beam.runners.worker.operations.SingletonConsumerSet.receive > self.consumer.process(windowed_value) > File "apache_beam/runners/worker/operations.py", line 537, in > apache_beam.runners.worker.operations.DoOperation.process > with self.scoped_process_state: > File "apache_beam/runners/worker/operations.py", line 538, in > apache_beam.runners.worker.operations.DoOperation.process > delayed_application = self.dofn_receiver.receive(o) > File "apache_beam/runners/common.py", line 723, in > apache_beam.runners.common.DoFnRunner.receive > self.process(windowed_value) > File "apache_beam/runners/common.py", line 729, in > apache_beam.runners.common.DoFnRunner.process > self._reraise_augmented(exn) > File "apache_beam/runners/common.py", line 777, in > apache_beam.runners.common.DoFnRunner._reraise_augmented > raise_with_traceback(new_exn) > File "apache_beam/runners/common.py", line 727, in > apache_beam.runners.common.DoFnRunner.process > return self.do_fn_invoker.invoke_process(windowed_value) > File "apache_beam/runners/common.py", line 418, in > apache_beam.runners.common.SimpleInvoker.invoke_process > output_processor.process_outputs( > File "apache_beam/runners/common.py", line 823, in > apache_beam.runners.common._OutputProcessor.process_outputs > for result in results: > TypeError: 'int' object is not iterable [while running > 'generatedPtransform-70'] > at > org.apache.beam.runners.fnexecution.control.FnApiControlClient$ResponseStreamObserver.onNext(FnApiControlClient.java:157) > at > org.apache.beam.runners.fnexecution.control.FnApiControlClient$ResponseStreamObserver.onNext(FnApiControlClient.java:140) > at > org.apache.beam.vendor.grpc.v1p13p1.io.grpc.stub.ServerCalls$StreamingServerCallHandler$StreamingServerCallListener.onMessage(ServerCalls.java:248) > at > org.apache.beam.vendor.grpc.v1p13p1.io.grpc.ForwardingServerCallListener.onMessage(ForwardingServerCallListener.java:33) > at > org.apache.beam.vendor.grpc.v1p13p1.io.grpc.Contexts$ContextualizedServerCallListener.onMessage(Contexts.java:76) > at > org.apache.beam.vendor.grpc.v1p13p1.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.messagesAvailable(ServerCallImpl.java:263) > at > org.apache.beam.vendor.grpc.v1p13p1.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1MessagesAvailable.runInContext(ServerImpl.java:683) > at > org.apache.beam.vendor.grpc.v1p13p1.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37) > at > org.apache.beam.vendor.grpc.v1p13p1.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) -- This message was sent by Atlassian Jira (v8.3.4#803005)