Examples with PTransformNode org.apache.beam.runners.core.construction.graph.PipelineNode.PTransformNode used on opensource projects

Example 26 with PTransformNode

use of org.apache.beam.runners.core.construction.graph.PipelineNode.PTransformNode in project beam by apache.

the class QueryablePipelineTest method getProducer.

@Test
public void getProducer() {
    Pipeline p = Pipeline.create();
    PCollection<Long> longs = p.apply("BoundedRead", Read.from(CountingSource.upTo(100L)));
    PCollectionList.of(longs).and(longs).and(longs).apply("flatten", Flatten.pCollections());
    Components components = PipelineTranslation.toProto(p).getComponents();
    QueryablePipeline qp = QueryablePipeline.forPrimitivesIn(components);
    String impulseOutputName = getOnlyElement(PipelineNode.pTransform("BoundedRead-Impulse", components.getTransformsOrThrow("BoundedRead-Impulse")).getTransform().getOutputsMap().values());
    PTransformNode impulseProducer = PipelineNode.pTransform("BoundedRead-Impulse", components.getTransformsOrThrow("BoundedRead-Impulse"));
    PCollectionNode impulseOutput = PipelineNode.pCollection(impulseOutputName, components.getPcollectionsOrThrow(impulseOutputName));
    String flattenOutputName = getOnlyElement(PipelineNode.pTransform("flatten", components.getTransformsOrThrow("flatten")).getTransform().getOutputsMap().values());
    PTransformNode flattenProducer = PipelineNode.pTransform("flatten", components.getTransformsOrThrow("flatten"));
    PCollectionNode flattenOutput = PipelineNode.pCollection(flattenOutputName, components.getPcollectionsOrThrow(flattenOutputName));
    assertThat(qp.getProducer(impulseOutput), equalTo(impulseProducer));
    assertThat(qp.getProducer(flattenOutput), equalTo(flattenProducer));
}

Example 27 with PTransformNode

use of org.apache.beam.runners.core.construction.graph.PipelineNode.PTransformNode in project beam by apache.

the class QueryablePipelineTest method perElementConsumersWithConsumingMultipleTimes.

/**
 * Tests that {@link QueryablePipeline#getPerElementConsumers(PCollectionNode)} returns a
 * transform that consumes the node more than once.
 */
@Test
public void perElementConsumersWithConsumingMultipleTimes() {
    Pipeline p = Pipeline.create();
    PCollection<Long> longs = p.apply("BoundedRead", Read.from(CountingSource.upTo(100L)));
    PCollectionList.of(longs).and(longs).and(longs).apply("flatten", Flatten.pCollections());
    Components components = PipelineTranslation.toProto(p).getComponents();
    // This breaks if the way that IDs are assigned to PTransforms changes in PipelineTranslation
    String readOutput = getOnlyElement(components.getTransformsOrThrow("BoundedRead").getOutputsMap().values());
    QueryablePipeline qp = QueryablePipeline.forPrimitivesIn(components);
    Set<PTransformNode> consumers = qp.getPerElementConsumers(PipelineNode.pCollection(readOutput, components.getPcollectionsOrThrow(readOutput)));
    assertThat(consumers.size(), equalTo(1));
    assertThat(getOnlyElement(consumers).getTransform().getSpec().getUrn(), equalTo(PTransformTranslation.FLATTEN_TRANSFORM_URN));
}

Example 28 with PTransformNode

use of org.apache.beam.runners.core.construction.graph.PipelineNode.PTransformNode in project beam by apache.

the class GreedyPipelineFuserTest method flattenWithHeterogenousInputsAndOutputsEntirelyMaterialized.

/*
   * goImpulse -> .out -> goRead -> .out \                    -> goParDo -> .out
   *                                      -> flatten -> .out |
   * pyImpulse -> .out -> pyRead -> .out /                    -> pyParDo -> .out
   *
   * becomes
   * (goImpulse.out) -> goRead -> goRead.out -> flatten -> (flatten.out_synthetic0)
   * (pyImpulse.out) -> pyRead -> pyRead.out -> flatten -> (flatten.out_synthetic1)
   * flatten.out_synthetic0 & flatten.out_synthetic1 -> synthetic_flatten -> flatten.out
   * (flatten.out) -> goParDo
   * (flatten.out) -> pyParDo
   */
@Test
public void flattenWithHeterogenousInputsAndOutputsEntirelyMaterialized() {
    Components components = Components.newBuilder().putCoders("coder", Coder.newBuilder().build()).putCoders("windowCoder", Coder.newBuilder().build()).putWindowingStrategies("ws", WindowingStrategy.newBuilder().setWindowCoderId("windowCoder").build()).putTransforms("pyImpulse", PTransform.newBuilder().setUniqueName("PyImpulse").putOutputs("output", "pyImpulse.out").setSpec(FunctionSpec.newBuilder().setUrn(PTransformTranslation.IMPULSE_TRANSFORM_URN)).build()).putPcollections("pyImpulse.out", pc("pyImpulse.out")).putTransforms("pyRead", PTransform.newBuilder().setUniqueName("PyRead").putInputs("input", "pyImpulse.out").putOutputs("output", "pyRead.out").setSpec(FunctionSpec.newBuilder().setUrn(PTransformTranslation.PAR_DO_TRANSFORM_URN).setPayload(ParDoPayload.newBuilder().setDoFn(FunctionSpec.newBuilder()).build().toByteString())).setEnvironmentId("py").build()).putPcollections("pyRead.out", pc("pyRead.out")).putTransforms("goImpulse", PTransform.newBuilder().setUniqueName("GoImpulse").putOutputs("output", "goImpulse.out").setSpec(FunctionSpec.newBuilder().setUrn(PTransformTranslation.IMPULSE_TRANSFORM_URN)).build()).putPcollections("goImpulse.out", pc("goImpulse.out")).putTransforms("goRead", PTransform.newBuilder().setUniqueName("GoRead").putInputs("input", "goImpulse.out").putOutputs("output", "goRead.out").setSpec(FunctionSpec.newBuilder().setUrn(PTransformTranslation.PAR_DO_TRANSFORM_URN).setPayload(ParDoPayload.newBuilder().setDoFn(FunctionSpec.newBuilder()).build().toByteString())).setEnvironmentId("go").build()).putPcollections("goRead.out", pc("goRead.out")).putTransforms("flatten", PTransform.newBuilder().setUniqueName("Flatten").putInputs("goReadInput", "goRead.out").putInputs("pyReadInput", "pyRead.out").putOutputs("output", "flatten.out").setSpec(FunctionSpec.newBuilder().setUrn(PTransformTranslation.FLATTEN_TRANSFORM_URN)).build()).putPcollections("flatten.out", pc("flatten.out")).putTransforms("pyParDo", PTransform.newBuilder().setUniqueName("PyParDo").putInputs("input", "flatten.out").putOutputs("output", "pyParDo.out").setSpec(FunctionSpec.newBuilder().setUrn(PTransformTranslation.PAR_DO_TRANSFORM_URN).setPayload(ParDoPayload.newBuilder().setDoFn(FunctionSpec.newBuilder()).build().toByteString())).setEnvironmentId("py").build()).putPcollections("pyParDo.out", pc("pyParDo.out")).putTransforms("goParDo", PTransform.newBuilder().setUniqueName("GoParDo").putInputs("input", "flatten.out").putOutputs("output", "goParDo.out").setSpec(FunctionSpec.newBuilder().setUrn(PTransformTranslation.PAR_DO_TRANSFORM_URN).setPayload(ParDoPayload.newBuilder().setDoFn(FunctionSpec.newBuilder()).build().toByteString())).setEnvironmentId("go").build()).putPcollections("goParDo.out", pc("goParDo.out")).putEnvironments("go", Environments.createDockerEnvironment("go")).putEnvironments("py", Environments.createDockerEnvironment("py")).build();
    FusedPipeline fused = GreedyPipelineFuser.fuse(Pipeline.newBuilder().setComponents(components).build());
    assertThat(fused.getRunnerExecutedTransforms(), hasSize(3));
    assertThat("The runner should include the impulses for both languages, plus an introduced flatten", fused.getRunnerExecutedTransforms(), hasItems(PipelineNode.pTransform("pyImpulse", components.getTransformsOrThrow("pyImpulse")), PipelineNode.pTransform("goImpulse", components.getTransformsOrThrow("goImpulse"))));
    PTransformNode flattenNode = null;
    for (PTransformNode runnerTransform : fused.getRunnerExecutedTransforms()) {
        if (getOnlyElement(runnerTransform.getTransform().getOutputsMap().values()).equals("flatten.out")) {
            flattenNode = runnerTransform;
        }
    }
    assertThat(flattenNode, not(nullValue()));
    assertThat(flattenNode.getTransform().getSpec().getUrn(), equalTo(PTransformTranslation.FLATTEN_TRANSFORM_URN));
    assertThat(new HashSet<>(flattenNode.getTransform().getInputsMap().values()), hasSize(2));
    Collection<String> introducedOutputs = flattenNode.getTransform().getInputsMap().values();
    AnyOf<String> anyIntroducedPCollection = anyOf(introducedOutputs.stream().map(Matchers::equalTo).collect(Collectors.toSet()));
    assertThat(fused.getFusedStages(), containsInAnyOrder(ExecutableStageMatcher.withInput("goImpulse.out").withOutputs(anyIntroducedPCollection).withTransforms("goRead", "flatten"), ExecutableStageMatcher.withInput("pyImpulse.out").withOutputs(anyIntroducedPCollection).withTransforms("pyRead", "flatten"), ExecutableStageMatcher.withInput("flatten.out").withNoOutputs().withTransforms("goParDo"), ExecutableStageMatcher.withInput("flatten.out").withNoOutputs().withTransforms("pyParDo")));
    Set<String> materializedStageOutputs = fused.getFusedStages().stream().flatMap(executableStage -> executableStage.getOutputPCollections().stream()).map(PCollectionNode::getId).collect(Collectors.toSet());
    assertThat("All materialized stage outputs should be flattened, and no more", materializedStageOutputs, containsInAnyOrder(flattenNode.getTransform().getInputsMap().values().toArray(new String[0])));
}

Example 29 with PTransformNode

use of org.apache.beam.runners.core.construction.graph.PipelineNode.PTransformNode in project beam by apache.

the class CreateExecutableStageNodeFunction 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())));
                }
            }
        }
    }
    RunnerApi.Components.Builder componentsBuilder = RunnerApi.Components.newBuilder();
    componentsBuilder.mergeFrom(this.pipeline.getComponents());
    // Default to use the Java environment if pipeline doesn't have environment specified.
    if (pipeline.getComponents().getEnvironmentsMap().isEmpty()) {
        String envId = Environments.JAVA_SDK_HARNESS_ENVIRONMENT.getUrn() + idGenerator.getId();
        componentsBuilder.putEnvironments(envId, Environments.JAVA_SDK_HARNESS_ENVIRONMENT);
    }
    // By default, use GlobalWindow for all languages.
    // For java, if there is a IntervalWindowCoder, then use FixedWindow instead.
    // TODO: should get real WindowingStategy from pipeline proto.
    String globalWindowingStrategyId = "generatedGlobalWindowingStrategy" + idGenerator.getId();
    String intervalWindowEncodingWindowingStrategyId = "generatedIntervalWindowEncodingWindowingStrategy" + idGenerator.getId();
    SdkComponents sdkComponents = SdkComponents.create(pipeline.getComponents(), null);
    try {
        registerWindowingStrategy(globalWindowingStrategyId, WindowingStrategy.globalDefault(), componentsBuilder, sdkComponents);
        registerWindowingStrategy(intervalWindowEncodingWindowingStrategyId, WindowingStrategy.of(FixedWindows.of(Duration.standardSeconds(1))), componentsBuilder, sdkComponents);
    } 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();
    // A field of ExecutableStage which includes the PCollection goes to worker side.
    Set<PCollectionNode> executableStageOutputs = new HashSet<>();
    // A field of ExecutableStage which includes the PCollection goes to runner side.
    Set<PCollectionNode> executableStageInputs = new HashSet<>();
    for (InstructionOutputNode node : Iterables.filter(input.nodes(), InstructionOutputNode.class)) {
        InstructionOutput instructionOutput = node.getInstructionOutput();
        String coderId = "generatedCoder" + idGenerator.getId();
        String windowingStrategyId;
        try (ByteString.Output output = ByteString.newOutput()) {
            try {
                Coder<?> javaCoder = CloudObjects.coderFromCloudObject(CloudObject.fromSpec(instructionOutput.getCodec()));
                Coder<?> elementCoder = ((WindowedValueCoder<?>) javaCoder).getValueCoder();
                sdkComponents.registerCoder(elementCoder);
                RunnerApi.Coder coderProto = CoderTranslation.toProto(elementCoder, sdkComponents);
                componentsBuilder.putCoders(coderId, coderProto);
                // For now, Dataflow runner harness only deal with FixedWindow.
                if (javaCoder instanceof FullWindowedValueCoder) {
                    FullWindowedValueCoder<?> windowedValueCoder = (FullWindowedValueCoder<?>) javaCoder;
                    Coder<?> windowCoder = windowedValueCoder.getWindowCoder();
                    if (windowCoder instanceof IntervalWindowCoder) {
                        windowingStrategyId = intervalWindowEncodingWindowingStrategyId;
                    } else if (windowCoder instanceof GlobalWindow.Coder) {
                        windowingStrategyId = globalWindowingStrategyId;
                    } else {
                        throw new UnsupportedOperationException(String.format("Dataflow portable runner harness doesn't support windowing with %s", windowCoder));
                    }
                } else {
                    throw new UnsupportedOperationException("Dataflow portable runner harness only supports FullWindowedValueCoder");
                }
            } 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());
                componentsBuilder.putCoders(coderId, RunnerApi.Coder.newBuilder().setSpec(RunnerApi.FunctionSpec.newBuilder().setPayload(output.toByteString())).build());
                // For non-java coder, hope it's GlobalWindows by default.
                // TODO(BEAM-6231): Actually discover the right windowing strategy.
                windowingStrategyId = globalWindowingStrategyId;
            }
        } catch (IOException e) {
            throw new IllegalArgumentException(String.format("Unable to encode coder %s for output %s", instructionOutput.getCodec(), instructionOutput), e);
        }
        // TODO(BEAM-6275): Set correct IsBounded on generated PCollections
        String pcollectionId = node.getPcollectionId();
        RunnerApi.PCollection pCollection = RunnerApi.PCollection.newBuilder().setCoderId(coderId).setWindowingStrategyId(windowingStrategyId).setIsBounded(RunnerApi.IsBounded.Enum.BOUNDED).build();
        nodesToPCollections.put(node, pcollectionId);
        componentsBuilder.putPcollections(pcollectionId, pCollection);
        // is set
        if (isExecutableStageOutputPCollection(input, node)) {
            executableStageOutputs.add(PipelineNode.pCollection(pcollectionId, pCollection));
        }
        if (isExecutableStageInputPCollection(input, node)) {
            executableStageInputs.add(PipelineNode.pCollection(pcollectionId, pCollection));
        }
    }
    componentsBuilder.putAllCoders(sdkComponents.toComponents().getCodersMap());
    Set<PTransformNode> executableStageTransforms = new HashSet<>();
    Set<TimerReference> executableStageTimers = new HashSet<>();
    List<UserStateId> userStateIds = new ArrayList<>();
    Set<SideInputReference> executableStageSideInputs = new HashSet<>();
    for (ParallelInstructionNode node : Iterables.filter(input.nodes(), ParallelInstructionNode.class)) {
        ImmutableMap.Builder<String, PCollectionNode> sideInputIds = ImmutableMap.builder();
        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();
        List<String> timerIds = new ArrayList<>();
        if (parallelInstruction.getParDo() != null) {
            ParDoInstruction parDoInstruction = parallelInstruction.getParDo();
            CloudObject userFnSpec = CloudObject.fromSpec(parDoInstruction.getUserFn());
            String userFnClassName = userFnSpec.getClassName();
            if (userFnClassName.equals("CombineValuesFn") || userFnClassName.equals("KeyedCombineFn")) {
                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);
                    }
                    // user timers and user state.
                    for (Map.Entry<String, RunnerApi.TimerFamilySpec> entry : parDoPayload.getTimerFamilySpecsMap().entrySet()) {
                        timerIds.add(entry.getKey());
                    }
                    for (Map.Entry<String, RunnerApi.StateSpec> entry : parDoPayload.getStateSpecsMap().entrySet()) {
                        UserStateId.Builder builder = UserStateId.newBuilder();
                        builder.setTransformId(parDoPTransformId);
                        builder.setLocalName(entry.getKey());
                        userStateIds.add(builder.build());
                    }
                    // To facilitate the creation of Set executableStageSideInputs.
                    for (String sideInputTag : parDoPayload.getSideInputsMap().keySet()) {
                        String sideInputPCollectionId = parDoPTransform.getInputsOrThrow(sideInputTag);
                        RunnerApi.PCollection sideInputPCollection = pipeline.getComponents().getPcollectionsOrThrow(sideInputPCollectionId);
                        pTransform.putInputs(sideInputTag, sideInputPCollectionId);
                        PCollectionNode pCollectionNode = PipelineNode.pCollection(sideInputPCollectionId, sideInputPCollection);
                        sideInputIds.put(sideInputTag, pCollectionNode);
                    }
                    // To facilitate the creation of Map(ptransformId -> pCollectionView), which is
                    // required by constructing an ExecutableStageNode.
                    ImmutableList.Builder<PCollectionView<?>> pcollectionViews = ImmutableList.builder();
                    for (Map.Entry<String, RunnerApi.SideInput> sideInputEntry : parDoPayload.getSideInputsMap().entrySet()) {
                        pcollectionViews.add(RegisterNodeFunction.transformSideInputForRunner(pipeline, parDoPTransform, sideInputEntry.getKey(), sideInputEntry.getValue()));
                    }
                    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));
                }
                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));
        }
        // predecessor in a ParDo. This PCollection is called the "main input".
        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);
        PTransformNode pTransformNode = PipelineNode.pTransform(ptransformId, pTransform.build());
        executableStageTransforms.add(pTransformNode);
        for (String timerId : timerIds) {
            executableStageTimers.add(TimerReference.of(pTransformNode, timerId));
        }
        ImmutableMap<String, PCollectionNode> sideInputIdToPCollectionNodes = sideInputIds.build();
        for (String sideInputTag : sideInputIdToPCollectionNodes.keySet()) {
            SideInputReference sideInputReference = SideInputReference.of(pTransformNode, sideInputTag, sideInputIdToPCollectionNodes.get(sideInputTag));
            executableStageSideInputs.add(sideInputReference);
        }
        executableStageTransforms.add(pTransformNode);
    }
    if (executableStageInputs.size() != 1) {
        throw new UnsupportedOperationException("ExecutableStage only support one input PCollection");
    }
    PCollectionNode executableInput = executableStageInputs.iterator().next();
    RunnerApi.Components executableStageComponents = componentsBuilder.build();
    // Get Environment from ptransform, otherwise, use JAVA_SDK_HARNESS_ENVIRONMENT as default.
    Environment executableStageEnv = getEnvironmentFromPTransform(executableStageComponents, executableStageTransforms);
    if (executableStageEnv == null) {
        executableStageEnv = Environments.JAVA_SDK_HARNESS_ENVIRONMENT;
    }
    Set<UserStateReference> executableStageUserStateReference = new HashSet<>();
    for (UserStateId userStateId : userStateIds) {
        executableStageUserStateReference.add(UserStateReference.fromUserStateId(userStateId, executableStageComponents));
    }
    ExecutableStage executableStage = ImmutableExecutableStage.ofFullComponents(executableStageComponents, executableStageEnv, executableInput, executableStageSideInputs, executableStageUserStateReference, executableStageTimers, executableStageTransforms, executableStageOutputs, DEFAULT_WIRE_CODER_SETTINGS);
    return ExecutableStageNode.create(executableStage, ptransformIdToNameContexts.build(), ptransformIdToSideInputInfos.build(), ptransformIdToPCollectionViews.build());
}

Example 30 with PTransformNode

use of org.apache.beam.runners.core.construction.graph.PipelineNode.PTransformNode in project beam by apache.

the class GreedyStageFuserTest method userStateIncludedInStage.

@Test
public void userStateIncludedInStage() {
    Environment env = Environments.createDockerEnvironment("common");
    PTransform readTransform = PTransform.newBuilder().putInputs("input", "impulse.out").putOutputs("output", "read.out").setSpec(FunctionSpec.newBuilder().setUrn(PTransformTranslation.PAR_DO_TRANSFORM_URN).setPayload(ParDoPayload.newBuilder().setDoFn(FunctionSpec.newBuilder()).build().toByteString())).setEnvironmentId("common").build();
    PTransform parDoTransform = PTransform.newBuilder().putInputs("input", "read.out").putOutputs("output", "parDo.out").setSpec(FunctionSpec.newBuilder().setUrn(PTransformTranslation.PAR_DO_TRANSFORM_URN).setPayload(ParDoPayload.newBuilder().setDoFn(FunctionSpec.newBuilder()).putStateSpecs("state_spec", StateSpec.getDefaultInstance()).build().toByteString())).setEnvironmentId("common").build();
    PCollection userStateMainInputPCollection = PCollection.newBuilder().setUniqueName("read.out").build();
    QueryablePipeline p = QueryablePipeline.forPrimitivesIn(partialComponents.toBuilder().putTransforms("read", readTransform).putPcollections("read.out", userStateMainInputPCollection).putTransforms("user_state", PTransform.newBuilder().putInputs("input", "impulse.out").putOutputs("output", "user_state.out").build()).putPcollections("user_state.out", PCollection.newBuilder().setUniqueName("user_state.out").build()).putTransforms("parDo", parDoTransform).putPcollections("parDo.out", PCollection.newBuilder().setUniqueName("parDo.out").build()).putEnvironments("common", env).build());
    PCollectionNode readOutput = getOnlyElement(p.getOutputPCollections(PipelineNode.pTransform("read", readTransform)));
    ExecutableStage subgraph = GreedyStageFuser.forGrpcPortRead(p, readOutput, ImmutableSet.of(PipelineNode.pTransform("parDo", parDoTransform)));
    PTransformNode parDoNode = PipelineNode.pTransform("parDo", parDoTransform);
    UserStateReference userStateRef = UserStateReference.of(parDoNode, "state_spec", PipelineNode.pCollection("read.out", userStateMainInputPCollection));
    assertThat(subgraph.getUserStates(), contains(userStateRef));
    assertThat(subgraph.getOutputPCollections(), emptyIterable());
}