in runners/google-cloud-dataflow-java/worker/src/main/java/org/apache/beam/runners/dataflow/worker/graph/CreateExecutableStageNodeFunction.java [134:504]
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());
// 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
// For intermediate PCollections we fabricate, we make a bogus WindowingStrategy
// TODO: create a correct windowing strategy, including coders and environment
// 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);
// Check whether this output collection has consumers from worker side when
// "use_executable_stage_bundle_execution"
// 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);
}
// Build the necessary components to inform the SDK Harness of the pipeline's
// 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));
}
// Even though this is a for-loop, there is only going to be a single PCollection as the
// 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());
}