Examples with OutputReceiver org.apache.beam.runners.dataflow.worker.util.common.worker.OutputReceiver used on opensource projects

Example 1 with OutputReceiver

use of org.apache.beam.runners.dataflow.worker.util.common.worker.OutputReceiver in project beam by apache.

the class BeamFnMapTaskExecutorFactory method createOperationTransformForFetchAndFilterStreamingSideInputNodes.

private Function<Node, Node> createOperationTransformForFetchAndFilterStreamingSideInputNodes(MutableNetwork<Node, Edge> network, IdGenerator idGenerator, InstructionRequestHandler instructionRequestHandler, FnDataService beamFnDataService, Endpoints.ApiServiceDescriptor dataApiServiceDescriptor, DataflowExecutionContext executionContext, String stageName) {
    return new TypeSafeNodeFunction<FetchAndFilterStreamingSideInputsNode>(FetchAndFilterStreamingSideInputsNode.class) {

        @Override
        public Node typedApply(FetchAndFilterStreamingSideInputsNode input) {
            OutputReceiverNode output = (OutputReceiverNode) Iterables.getOnlyElement(network.successors(input));
            DataflowOperationContext operationContext = executionContext.createOperationContext(NameContext.create(stageName, input.getNameContext().originalName(), input.getNameContext().systemName(), input.getNameContext().userName()));
            return OperationNode.create(new FetchAndFilterStreamingSideInputsOperation<>(new OutputReceiver[] { output.getOutputReceiver() }, operationContext, instructionRequestHandler, beamFnDataService, dataApiServiceDescriptor, idGenerator, (Coder<WindowedValue<Object>>) output.getCoder(), (WindowingStrategy<?, BoundedWindow>) input.getWindowingStrategy(), executionContext.getStepContext(operationContext), input.getPCollectionViewsToWindowMappingFns()));
        }
    };
}

Example 2 with OutputReceiver

use of org.apache.beam.runners.dataflow.worker.util.common.worker.OutputReceiver in project beam by apache.

the class BeamFnMapTaskExecutorFactory method createOperationTransformForExecutableStageNode.

private Function<Node, Node> createOperationTransformForExecutableStageNode(final Network<Node, Edge> network, final String stageName, final DataflowExecutionContext<?> executionContext, final JobBundleFactory jobBundleFactory) {
    return new TypeSafeNodeFunction<ExecutableStageNode>(ExecutableStageNode.class) {

        @Override
        public Node typedApply(ExecutableStageNode input) {
            StageBundleFactory stageBundleFactory = jobBundleFactory.forStage(input.getExecutableStage());
            Iterable<OutputReceiverNode> outputReceiverNodes = Iterables.filter(network.successors(input), OutputReceiverNode.class);
            Map<String, OutputReceiver> outputReceiverMap = new HashMap<>();
            Lists.newArrayList(outputReceiverNodes).stream().forEach(outputReceiverNode -> outputReceiverMap.put(outputReceiverNode.getPcollectionId(), outputReceiverNode.getOutputReceiver()));
            ImmutableMap.Builder<String, DataflowOperationContext> ptransformIdToOperationContextBuilder = ImmutableMap.builder();
            for (Map.Entry<String, NameContext> entry : input.getPTransformIdToPartialNameContextMap().entrySet()) {
                NameContext fullNameContext = NameContext.create(stageName, entry.getValue().originalName(), entry.getValue().systemName(), entry.getValue().userName());
                DataflowOperationContext operationContext = executionContext.createOperationContext(fullNameContext);
                ptransformIdToOperationContextBuilder.put(entry.getKey(), operationContext);
            }
            ImmutableMap<String, DataflowOperationContext> ptransformIdToOperationContexts = ptransformIdToOperationContextBuilder.build();
            ImmutableMap<String, SideInputReader> ptransformIdToSideInputReaders = buildPTransformIdToSideInputReadersMap(executionContext, input, ptransformIdToOperationContexts);
            Map<RunnerApi.ExecutableStagePayload.SideInputId, PCollectionView<?>> ptransformIdToSideInputIdToPCollectionView = buildSideInputIdToPCollectionView(input);
            return OperationNode.create(new ProcessRemoteBundleOperation(input.getExecutableStage(), executionContext.createOperationContext(NameContext.create(stageName, stageName, stageName, stageName)), stageBundleFactory, outputReceiverMap, ptransformIdToSideInputReaders, ptransformIdToSideInputIdToPCollectionView));
        }
    };
}

Example 3 with OutputReceiver

use of org.apache.beam.runners.dataflow.worker.util.common.worker.OutputReceiver in project beam by apache.

the class BeamFnMapTaskExecutorFactory method createOperationTransformForGrpcPortNodes.

private Function<Node, Node> createOperationTransformForGrpcPortNodes(final Network<Node, Edge> network, final FnDataService beamFnDataService, final OperationContext context) {
    return new TypeSafeNodeFunction<RemoteGrpcPortNode>(RemoteGrpcPortNode.class) {

        @Override
        public Node typedApply(RemoteGrpcPortNode input) {
            RegisterAndProcessBundleOperation registerFnOperation = (RegisterAndProcessBundleOperation) Iterables.getOnlyElement(Iterables.filter(network.adjacentNodes(input), OperationNode.class)).getOperation();
            // The coder comes from the one and only adjacent output node
            Coder<?> coder = Iterables.getOnlyElement(Iterables.filter(network.adjacentNodes(input), OutputReceiverNode.class)).getCoder();
            // We figure out whether we are outputting some where if the output node is a
            // successor.
            Iterable<OutputReceiverNode> outputReceiverNodes = Iterables.filter(network.successors(input), OutputReceiverNode.class);
            Operation operation;
            if (outputReceiverNodes.iterator().hasNext()) {
                OutputReceiver[] outputReceivers = new OutputReceiver[] { Iterables.getOnlyElement(outputReceiverNodes).getOutputReceiver() };
                operation = new RemoteGrpcPortReadOperation<>(beamFnDataService, input.getPrimitiveTransformId(), registerFnOperation::getProcessBundleInstructionId, (Coder) coder, outputReceivers, context);
            } else {
                operation = new RemoteGrpcPortWriteOperation<>(beamFnDataService, input.getPrimitiveTransformId(), registerFnOperation::getProcessBundleInstructionId, (Coder) coder, context);
            }
            return OperationNode.create(operation);
        }
    };
}

Example 4 with OutputReceiver

use of org.apache.beam.runners.dataflow.worker.util.common.worker.OutputReceiver in project beam by apache.

the class BeamFnMapTaskExecutorFactory method createReadOperation.

OperationNode createReadOperation(Network<Node, Edge> network, ParallelInstructionNode node, PipelineOptions options, ReaderFactory readerFactory, DataflowExecutionContext<?> executionContext, DataflowOperationContext operationContext) throws Exception {
    ParallelInstruction instruction = node.getParallelInstruction();
    ReadInstruction read = instruction.getRead();
    Source cloudSource = CloudSourceUtils.flattenBaseSpecs(read.getSource());
    CloudObject sourceSpec = CloudObject.fromSpec(cloudSource.getSpec());
    Coder<?> coder = CloudObjects.coderFromCloudObject(CloudObject.fromSpec(cloudSource.getCodec()));
    NativeReader<?> reader = readerFactory.create(sourceSpec, coder, options, executionContext, operationContext);
    OutputReceiver[] receivers = getOutputReceivers(network, node);
    return OperationNode.create(ReadOperation.create(reader, receivers, operationContext));
}

Example 5 with OutputReceiver

use of org.apache.beam.runners.dataflow.worker.util.common.worker.OutputReceiver in project beam by apache.

the class BeamFnMapTaskExecutorFactory method createParDoOperation.

private OperationNode createParDoOperation(Network<Node, Edge> network, ParallelInstructionNode node, PipelineOptions options, DataflowExecutionContext<?> executionContext, DataflowOperationContext operationContext) throws Exception {
    ParallelInstruction instruction = node.getParallelInstruction();
    ParDoInstruction parDo = instruction.getParDo();
    TupleTag<?> mainOutputTag = tupleTag(parDo.getMultiOutputInfos().get(0));
    ImmutableMap.Builder<TupleTag<?>, Integer> outputTagsToReceiverIndicesBuilder = ImmutableMap.builder();
    int successorOffset = 0;
    for (Node successor : network.successors(node)) {
        for (Edge edge : network.edgesConnecting(node, successor)) {
            outputTagsToReceiverIndicesBuilder.put(tupleTag(((MultiOutputInfoEdge) edge).getMultiOutputInfo()), successorOffset);
        }
        successorOffset += 1;
    }
    ParDoFn fn = parDoFnFactory.create(options, CloudObject.fromSpec(parDo.getUserFn()), parDo.getSideInputs(), mainOutputTag, outputTagsToReceiverIndicesBuilder.build(), executionContext, operationContext);
    OutputReceiver[] receivers = getOutputReceivers(network, node);
    return OperationNode.create(new ParDoOperation(fn, receivers, operationContext));
}