Examples with CloudObject org.apache.beam.runners.dataflow.util.CloudObject used on opensource projects

Example 31 with CloudObject

use of org.apache.beam.runners.dataflow.util.CloudObject in project beam by apache.

the class InsertFetchAndFilterStreamingSideInputNodes method forNetwork.

public MutableNetwork<Node, Edge> forNetwork(MutableNetwork<Node, Edge> network) {
    if (pipeline == null) {
        return network;
    }
    RehydratedComponents rehydratedComponents = RehydratedComponents.forComponents(pipeline.getComponents());
    for (ParallelInstructionNode node : ImmutableList.copyOf(Iterables.filter(network.nodes(), ParallelInstructionNode.class))) {
        // to worry about it.
        if (node.getParallelInstruction().getParDo() == null || !ExecutionLocation.SDK_HARNESS.equals(node.getExecutionLocation())) {
            continue;
        }
        ParDoInstruction parDoInstruction = node.getParallelInstruction().getParDo();
        CloudObject userFnSpec = CloudObject.fromSpec(parDoInstruction.getUserFn());
        String parDoPTransformId = getString(userFnSpec, PropertyNames.SERIALIZED_FN);
        // Skip ParDoInstruction nodes that contain payloads without side inputs.
        String userFnClassName = userFnSpec.getClassName();
        if ("CombineValuesFn".equals(userFnClassName) || "KeyedCombineFn".equals(userFnClassName)) {
            // These nodes have CombinePayloads which have no side inputs.
            continue;
        }
        RunnerApi.PTransform parDoPTransform = pipeline.getComponents().getTransformsOrDefault(parDoPTransformId, null);
        // TODO: only the non-null branch should exist; for migration ease only
        if (parDoPTransform == null) {
            continue;
        }
        RunnerApi.ParDoPayload parDoPayload;
        try {
            parDoPayload = RunnerApi.ParDoPayload.parseFrom(parDoPTransform.getSpec().getPayload());
        } catch (InvalidProtocolBufferException exc) {
            throw new RuntimeException("ParDo did not have a ParDoPayload", exc);
        }
        // Skip any ParDo that doesn't have a side input.
        if (parDoPayload.getSideInputsMap().isEmpty()) {
            continue;
        }
        String mainInputPCollectionLocalName = Iterables.getOnlyElement(Sets.difference(parDoPTransform.getInputsMap().keySet(), parDoPayload.getSideInputsMap().keySet()));
        RunnerApi.WindowingStrategy windowingStrategyProto = pipeline.getComponents().getWindowingStrategiesOrThrow(pipeline.getComponents().getPcollectionsOrThrow(parDoPTransform.getInputsOrThrow(mainInputPCollectionLocalName)).getWindowingStrategyId());
        WindowingStrategy windowingStrategy;
        try {
            windowingStrategy = WindowingStrategyTranslation.fromProto(windowingStrategyProto, rehydratedComponents);
        } catch (InvalidProtocolBufferException e) {
            throw new IllegalStateException(String.format("Unable to decode windowing strategy %s.", windowingStrategyProto), e);
        }
        // Gather all the side input window mapping fns which we need to request the SDK to map
        ImmutableMap.Builder<PCollectionView<?>, RunnerApi.FunctionSpec> pCollectionViewsToWindowMapingsFns = ImmutableMap.builder();
        parDoPayload.getSideInputsMap().forEach((sideInputTag, sideInput) -> pCollectionViewsToWindowMapingsFns.put(RegisterNodeFunction.transformSideInputForRunner(pipeline, parDoPTransform, sideInputTag, sideInput), sideInput.getWindowMappingFn()));
        Node streamingSideInputWindowHandlerNode = FetchAndFilterStreamingSideInputsNode.create(windowingStrategy, pCollectionViewsToWindowMapingsFns.build(), NameContext.create(null, node.getParallelInstruction().getOriginalName(), node.getParallelInstruction().getSystemName(), node.getParallelInstruction().getName()));
        // Rewire the graph such that streaming side inputs ParDos are preceded by a
        // node which filters any side inputs that aren't ready and fetches any ready side inputs.
        Edge mainInput = Iterables.getOnlyElement(network.inEdges(node));
        InstructionOutputNode predecessor = (InstructionOutputNode) network.incidentNodes(mainInput).source();
        InstructionOutputNode predecessorCopy = InstructionOutputNode.create(predecessor.getInstructionOutput(), predecessor.getPcollectionId());
        network.removeEdge(mainInput);
        network.addNode(streamingSideInputWindowHandlerNode);
        network.addNode(predecessorCopy);
        network.addEdge(predecessor, streamingSideInputWindowHandlerNode, mainInput.clone());
        network.addEdge(streamingSideInputWindowHandlerNode, predecessorCopy, mainInput.clone());
        network.addEdge(predecessorCopy, node, mainInput.clone());
    }
    return network;
}

Example 32 with CloudObject

use of org.apache.beam.runners.dataflow.util.CloudObject in project beam by apache.

the class RegisterNodeFunction method apply.

@Override
public Node apply(MutableNetwork<Node, Edge> input) {
    for (Node node : input.nodes()) {
        if (node instanceof RemoteGrpcPortNode || node instanceof ParallelInstructionNode || node instanceof InstructionOutputNode) {
            continue;
        }
        throw new IllegalArgumentException(String.format("Network contains unknown type of node: %s", input));
    }
    // Fix all non output nodes to have named edges.
    for (Node node : input.nodes()) {
        if (node instanceof InstructionOutputNode) {
            continue;
        }
        for (Node successor : input.successors(node)) {
            for (Edge edge : input.edgesConnecting(node, successor)) {
                if (edge instanceof DefaultEdge) {
                    input.removeEdge(edge);
                    input.addEdge(node, successor, MultiOutputInfoEdge.create(new MultiOutputInfo().setTag(idGenerator.getId())));
                }
            }
        }
    }
    // We start off by replacing all edges within the graph with edges that have the named
    // outputs from the predecessor step. For ParallelInstruction Source nodes and RemoteGrpcPort
    // nodes this is a generated port id. All ParDoInstructions will have already
    ProcessBundleDescriptor.Builder processBundleDescriptor = ProcessBundleDescriptor.newBuilder().setId(idGenerator.getId()).setStateApiServiceDescriptor(stateApiServiceDescriptor);
    // For intermediate PCollections we fabricate, we make a bogus WindowingStrategy
    // TODO: create a correct windowing strategy, including coders and environment
    SdkComponents sdkComponents = SdkComponents.create(pipeline.getComponents(), null);
    // Default to use the Java environment if pipeline doesn't have environment specified.
    if (pipeline.getComponents().getEnvironmentsMap().isEmpty()) {
        sdkComponents.registerEnvironment(Environments.JAVA_SDK_HARNESS_ENVIRONMENT);
    }
    String fakeWindowingStrategyId = "fakeWindowingStrategy" + idGenerator.getId();
    try {
        RunnerApi.MessageWithComponents fakeWindowingStrategyProto = WindowingStrategyTranslation.toMessageProto(WindowingStrategy.globalDefault(), sdkComponents);
        processBundleDescriptor.putWindowingStrategies(fakeWindowingStrategyId, fakeWindowingStrategyProto.getWindowingStrategy()).putAllCoders(fakeWindowingStrategyProto.getComponents().getCodersMap()).putAllEnvironments(fakeWindowingStrategyProto.getComponents().getEnvironmentsMap());
    } catch (IOException exc) {
        throw new RuntimeException("Could not convert default windowing stratey to proto", exc);
    }
    Map<Node, String> nodesToPCollections = new HashMap<>();
    ImmutableMap.Builder<String, NameContext> ptransformIdToNameContexts = ImmutableMap.builder();
    ImmutableMap.Builder<String, Iterable<SideInputInfo>> ptransformIdToSideInputInfos = ImmutableMap.builder();
    ImmutableMap.Builder<String, Iterable<PCollectionView<?>>> ptransformIdToPCollectionViews = ImmutableMap.builder();
    ImmutableMap.Builder<String, NameContext> pcollectionIdToNameContexts = ImmutableMap.builder();
    ImmutableMap.Builder<InstructionOutputNode, String> instructionOutputNodeToCoderIdBuilder = ImmutableMap.builder();
    // 2. Generate new PCollectionId and register it with ProcessBundleDescriptor.
    for (InstructionOutputNode node : Iterables.filter(input.nodes(), InstructionOutputNode.class)) {
        InstructionOutput instructionOutput = node.getInstructionOutput();
        String coderId = "generatedCoder" + idGenerator.getId();
        instructionOutputNodeToCoderIdBuilder.put(node, coderId);
        try (ByteString.Output output = ByteString.newOutput()) {
            try {
                Coder<?> javaCoder = CloudObjects.coderFromCloudObject(CloudObject.fromSpec(instructionOutput.getCodec()));
                sdkComponents.registerCoder(javaCoder);
                RunnerApi.Coder coderProto = CoderTranslation.toProto(javaCoder, sdkComponents);
                processBundleDescriptor.putCoders(coderId, coderProto);
            } catch (IOException e) {
                throw new IllegalArgumentException(String.format("Unable to encode coder %s for output %s", instructionOutput.getCodec(), instructionOutput), e);
            } catch (Exception e) {
                // Coder probably wasn't a java coder
                OBJECT_MAPPER.writeValue(output, instructionOutput.getCodec());
                processBundleDescriptor.putCoders(coderId, RunnerApi.Coder.newBuilder().setSpec(RunnerApi.FunctionSpec.newBuilder().setPayload(output.toByteString())).build());
            }
        } catch (IOException e) {
            throw new IllegalArgumentException(String.format("Unable to encode coder %s for output %s", instructionOutput.getCodec(), instructionOutput), e);
        }
        // Generate new PCollection ID and map it to relevant node.
        // Will later be used to fill PTransform inputs/outputs information.
        String pcollectionId = "generatedPcollection" + idGenerator.getId();
        processBundleDescriptor.putPcollections(pcollectionId, RunnerApi.PCollection.newBuilder().setCoderId(coderId).setWindowingStrategyId(fakeWindowingStrategyId).build());
        nodesToPCollections.put(node, pcollectionId);
        pcollectionIdToNameContexts.put(pcollectionId, NameContext.create(null, instructionOutput.getOriginalName(), instructionOutput.getSystemName(), instructionOutput.getName()));
    }
    processBundleDescriptor.putAllCoders(sdkComponents.toComponents().getCodersMap());
    Map<InstructionOutputNode, String> instructionOutputNodeToCoderIdMap = instructionOutputNodeToCoderIdBuilder.build();
    for (ParallelInstructionNode node : Iterables.filter(input.nodes(), ParallelInstructionNode.class)) {
        ParallelInstruction parallelInstruction = node.getParallelInstruction();
        String ptransformId = "generatedPtransform" + idGenerator.getId();
        ptransformIdToNameContexts.put(ptransformId, NameContext.create(null, parallelInstruction.getOriginalName(), parallelInstruction.getSystemName(), parallelInstruction.getName()));
        RunnerApi.PTransform.Builder pTransform = RunnerApi.PTransform.newBuilder();
        RunnerApi.FunctionSpec.Builder transformSpec = RunnerApi.FunctionSpec.newBuilder();
        if (parallelInstruction.getParDo() != null) {
            ParDoInstruction parDoInstruction = parallelInstruction.getParDo();
            CloudObject userFnSpec = CloudObject.fromSpec(parDoInstruction.getUserFn());
            String userFnClassName = userFnSpec.getClassName();
            if ("CombineValuesFn".equals(userFnClassName) || "KeyedCombineFn".equals(userFnClassName)) {
                transformSpec = transformCombineValuesFnToFunctionSpec(userFnSpec);
                ptransformIdToPCollectionViews.put(ptransformId, Collections.emptyList());
            } else {
                String parDoPTransformId = getString(userFnSpec, PropertyNames.SERIALIZED_FN);
                RunnerApi.PTransform parDoPTransform = pipeline.getComponents().getTransformsOrDefault(parDoPTransformId, null);
                // TODO: only the non-null branch should exist; for migration ease only
                if (parDoPTransform != null) {
                    checkArgument(parDoPTransform.getSpec().getUrn().equals(PTransformTranslation.PAR_DO_TRANSFORM_URN), "Found transform \"%s\" for ParallelDo instruction, " + " but that transform had unexpected URN \"%s\" (expected \"%s\")", parDoPTransformId, parDoPTransform.getSpec().getUrn(), PTransformTranslation.PAR_DO_TRANSFORM_URN);
                    RunnerApi.ParDoPayload parDoPayload;
                    try {
                        parDoPayload = RunnerApi.ParDoPayload.parseFrom(parDoPTransform.getSpec().getPayload());
                    } catch (InvalidProtocolBufferException exc) {
                        throw new RuntimeException("ParDo did not have a ParDoPayload", exc);
                    }
                    ImmutableList.Builder<PCollectionView<?>> pcollectionViews = ImmutableList.builder();
                    for (Map.Entry<String, SideInput> sideInputEntry : parDoPayload.getSideInputsMap().entrySet()) {
                        pcollectionViews.add(transformSideInputForRunner(pipeline, parDoPTransform, sideInputEntry.getKey(), sideInputEntry.getValue()));
                        transformSideInputForSdk(pipeline, parDoPTransform, sideInputEntry.getKey(), processBundleDescriptor, pTransform);
                    }
                    ptransformIdToPCollectionViews.put(ptransformId, pcollectionViews.build());
                    transformSpec.setUrn(PTransformTranslation.PAR_DO_TRANSFORM_URN).setPayload(parDoPayload.toByteString());
                } else {
                    // legacy path - bytes are the FunctionSpec's payload field, basically, and
                    // SDKs expect it in the PTransform's payload field
                    byte[] userFnBytes = getBytes(userFnSpec, PropertyNames.SERIALIZED_FN);
                    transformSpec.setUrn(ParDoTranslation.CUSTOM_JAVA_DO_FN_URN).setPayload(ByteString.copyFrom(userFnBytes));
                }
                // Add side input information for batch pipelines
                if (parDoInstruction.getSideInputs() != null) {
                    ptransformIdToSideInputInfos.put(ptransformId, forSideInputInfos(parDoInstruction.getSideInputs(), true));
                }
            }
        } else if (parallelInstruction.getRead() != null) {
            ReadInstruction readInstruction = parallelInstruction.getRead();
            CloudObject sourceSpec = CloudObject.fromSpec(CloudSourceUtils.flattenBaseSpecs(readInstruction.getSource()).getSpec());
            // TODO: Need to plumb through the SDK specific function spec.
            transformSpec.setUrn(JAVA_SOURCE_URN);
            try {
                byte[] serializedSource = Base64.getDecoder().decode(getString(sourceSpec, SERIALIZED_SOURCE));
                ByteString sourceByteString = ByteString.copyFrom(serializedSource);
                transformSpec.setPayload(sourceByteString);
            } catch (Exception e) {
                throw new IllegalArgumentException(String.format("Unable to process Read %s", parallelInstruction), e);
            }
        } else if (parallelInstruction.getFlatten() != null) {
            transformSpec.setUrn(PTransformTranslation.FLATTEN_TRANSFORM_URN);
        } else {
            throw new IllegalArgumentException(String.format("Unknown type of ParallelInstruction %s", parallelInstruction));
        }
        for (Node predecessorOutput : input.predecessors(node)) {
            pTransform.putInputs("generatedInput" + idGenerator.getId(), nodesToPCollections.get(predecessorOutput));
        }
        for (Edge edge : input.outEdges(node)) {
            Node nodeOutput = input.incidentNodes(edge).target();
            MultiOutputInfoEdge edge2 = (MultiOutputInfoEdge) edge;
            pTransform.putOutputs(edge2.getMultiOutputInfo().getTag(), nodesToPCollections.get(nodeOutput));
        }
        pTransform.setSpec(transformSpec);
        processBundleDescriptor.putTransforms(ptransformId, pTransform.build());
    }
    // Add the PTransforms representing the remote gRPC nodes
    for (RemoteGrpcPortNode node : Iterables.filter(input.nodes(), RemoteGrpcPortNode.class)) {
        RunnerApi.PTransform.Builder pTransform = RunnerApi.PTransform.newBuilder();
        Set<Node> predecessors = input.predecessors(node);
        Set<Node> successors = input.successors(node);
        if (predecessors.isEmpty() && !successors.isEmpty()) {
            Node instructionOutputNode = Iterables.getOnlyElement(successors);
            pTransform.putOutputs("generatedOutput" + idGenerator.getId(), nodesToPCollections.get(instructionOutputNode));
            pTransform.setSpec(RunnerApi.FunctionSpec.newBuilder().setUrn(DATA_INPUT_URN).setPayload(node.getRemoteGrpcPort().toBuilder().setCoderId(instructionOutputNodeToCoderIdMap.get(instructionOutputNode)).build().toByteString()).build());
        } else if (!predecessors.isEmpty() && successors.isEmpty()) {
            Node instructionOutputNode = Iterables.getOnlyElement(predecessors);
            pTransform.putInputs("generatedInput" + idGenerator.getId(), nodesToPCollections.get(instructionOutputNode));
            pTransform.setSpec(RunnerApi.FunctionSpec.newBuilder().setUrn(DATA_OUTPUT_URN).setPayload(node.getRemoteGrpcPort().toBuilder().setCoderId(instructionOutputNodeToCoderIdMap.get(instructionOutputNode)).build().toByteString()).build());
        } else {
            throw new IllegalStateException("Expected either one input OR one output " + "InstructionOutputNode for this RemoteGrpcPortNode");
        }
        processBundleDescriptor.putTransforms(node.getPrimitiveTransformId(), pTransform.build());
    }
    return RegisterRequestNode.create(RegisterRequest.newBuilder().addProcessBundleDescriptor(processBundleDescriptor).build(), ptransformIdToNameContexts.build(), ptransformIdToSideInputInfos.build(), ptransformIdToPCollectionViews.build(), pcollectionIdToNameContexts.build());
}

Example 33 with CloudObject

use of org.apache.beam.runners.dataflow.util.CloudObject in project beam by apache.

the class BeamFnMapTaskExecutorFactory method createPartialGroupByKeyOperation.

<K> OperationNode createPartialGroupByKeyOperation(Network<Node, Edge> network, ParallelInstructionNode node, PipelineOptions options, DataflowExecutionContext<?> executionContext, DataflowOperationContext operationContext) throws Exception {
    ParallelInstruction instruction = node.getParallelInstruction();
    PartialGroupByKeyInstruction pgbk = instruction.getPartialGroupByKey();
    OutputReceiver[] receivers = getOutputReceivers(network, node);
    Coder<?> windowedCoder = CloudObjects.coderFromCloudObject(CloudObject.fromSpec(pgbk.getInputElementCodec()));
    if (!(windowedCoder instanceof WindowedValueCoder)) {
        throw new IllegalArgumentException(String.format("unexpected kind of input coder for PartialGroupByKeyOperation: %s", windowedCoder));
    }
    Coder<?> elemCoder = ((WindowedValueCoder<?>) windowedCoder).getValueCoder();
    if (!(elemCoder instanceof KvCoder)) {
        throw new IllegalArgumentException(String.format("unexpected kind of input element coder for PartialGroupByKeyOperation: %s", elemCoder));
    }
    @SuppressWarnings("unchecked") KvCoder<K, ?> keyedElementCoder = (KvCoder<K, ?>) elemCoder;
    CloudObject cloudUserFn = pgbk.getValueCombiningFn() != null ? CloudObject.fromSpec(pgbk.getValueCombiningFn()) : null;
    ParDoFn fn = PartialGroupByKeyParDoFns.create(options, keyedElementCoder, cloudUserFn, pgbk.getSideInputs(), Arrays.<Receiver>asList(receivers), executionContext, operationContext);
    return OperationNode.create(new ParDoOperation(fn, receivers, operationContext));
}

Example 34 with CloudObject

use of org.apache.beam.runners.dataflow.util.CloudObject in project beam by apache.

the class CombineValuesFnFactory method create.

@Override
public ParDoFn create(PipelineOptions options, CloudObject cloudUserFn, @Nullable List<SideInputInfo> sideInputInfos, TupleTag<?> mainOutputTag, Map<TupleTag<?>, Integer> outputTupleTagsToReceiverIndices, DataflowExecutionContext<?> executionContext, DataflowOperationContext operationContext) throws Exception {
    Preconditions.checkArgument(outputTupleTagsToReceiverIndices.size() == 1, "expected exactly one output for CombineValuesFn");
    Object deserializedFn = SerializableUtils.deserializeFromByteArray(getBytes(cloudUserFn, PropertyNames.SERIALIZED_FN), "serialized user fn");
    Preconditions.checkArgument(deserializedFn instanceof AppliedCombineFn);
    AppliedCombineFn<?, ?, ?, ?> combineFn = (AppliedCombineFn<?, ?, ?, ?>) deserializedFn;
    Iterable<PCollectionView<?>> sideInputViews = combineFn.getSideInputViews();
    SideInputReader sideInputReader = executionContext.getSideInputReader(sideInputInfos, sideInputViews, operationContext);
    // Get the combine phase, default to ALL. (The implementation
    // doesn't have to split the combiner).
    String phase = getString(cloudUserFn, WorkerPropertyNames.PHASE, CombinePhase.ALL);
    DoFnInfo<?, ?> doFnInfo = getDoFnInfo(combineFn, sideInputReader, phase);
    return new SimpleParDoFn(options, DoFnInstanceManagers.singleInstance(doFnInfo), sideInputReader, mainOutputTag, outputTupleTagsToReceiverIndices, executionContext.getStepContext(operationContext), operationContext, doFnInfo.getDoFnSchemaInformation(), doFnInfo.getSideInputMapping(), SimpleDoFnRunnerFactory.INSTANCE);
}

Example 35 with CloudObject

use of org.apache.beam.runners.dataflow.util.CloudObject in project beam by apache.

the class ConcatReaderFactory method createSourceFromDictionary.

public static Source createSourceFromDictionary(Map<String, Object> dictionary) throws Exception {
    Source source = new Source();
    // Set spec
    CloudObject subSourceSpec = CloudObject.fromSpec(getObject(dictionary, PropertyNames.SOURCE_SPEC));
    source.setSpec(subSourceSpec);
    // Set encoding
    CloudObject subSourceEncoding = CloudObject.fromSpec(getObject(dictionary, PropertyNames.ENCODING, null));
    if (subSourceEncoding != null) {
        source.setCodec(subSourceEncoding);
    }
    // Set base specs
    List<Map<String, Object>> subSourceBaseSpecs = getListOfMaps(dictionary, WorkerPropertyNames.CONCAT_SOURCE_BASE_SPECS, null);
    if (subSourceBaseSpecs != null) {
        source.setBaseSpecs(subSourceBaseSpecs);
    }
    // Set metadata
    SourceMetadata metadata = new SourceMetadata();
    Boolean infinite = getBoolean(dictionary, PropertyNames.SOURCE_IS_INFINITE, null);
    if (infinite != null) {
        metadata.setInfinite(infinite);
    }
    Long estimatedSizeBytes = getLong(dictionary, PropertyNames.SOURCE_ESTIMATED_SIZE_BYTES, null);
    if (estimatedSizeBytes != null) {
        metadata.setEstimatedSizeBytes(estimatedSizeBytes);
    }
    if (estimatedSizeBytes != null || infinite != null) {
        source.setMetadata(metadata);
    }
    // Set doesNotNeedSplitting
    Boolean doesNotNeedSplitting = getBoolean(dictionary, PropertyNames.SOURCE_DOES_NOT_NEED_SPLITTING, null);
    if (doesNotNeedSplitting != null) {
        source.setDoesNotNeedSplitting(doesNotNeedSplitting);
    }
    return source;
}