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

Example 26 with CloudObject

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

the class WorkerCustomSourcesTest method testReadUnboundedReader.

@Test
public void testReadUnboundedReader() throws Exception {
    CounterSet counterSet = new CounterSet();
    StreamingModeExecutionStateRegistry executionStateRegistry = new StreamingModeExecutionStateRegistry(null);
    ReaderCache readerCache = new ReaderCache(Duration.standardMinutes(1), Runnable::run);
    StreamingModeExecutionContext context = new StreamingModeExecutionContext(counterSet, "computationId", readerCache, /*stateNameMap=*/
    ImmutableMap.of(), /*stateCache=*/
    null, StreamingStepMetricsContainer.createRegistry(), new DataflowExecutionStateTracker(ExecutionStateSampler.newForTest(), executionStateRegistry.getState(NameContext.forStage("stageName"), "other", null, NoopProfileScope.NOOP), counterSet, PipelineOptionsFactory.create(), "test-work-item-id"), executionStateRegistry, Long.MAX_VALUE);
    options.setNumWorkers(5);
    int maxElements = 10;
    DataflowPipelineDebugOptions debugOptions = options.as(DataflowPipelineDebugOptions.class);
    debugOptions.setUnboundedReaderMaxElements(maxElements);
    ByteString state = ByteString.EMPTY;
    for (int i = 0; i < 10 * maxElements; ) /* Incremented in inner loop */
    {
        // Initialize streaming context with state from previous iteration.
        context.start("key", Windmill.WorkItem.newBuilder().setKey(// key is zero-padded index.
        ByteString.copyFromUtf8("0000000000000001")).setWorkToken(// Must be increasing across activations for cache to be used.
        i).setCacheToken(1).setSourceState(// Source state.
        Windmill.SourceState.newBuilder().setState(state).build()).build(), // input watermark
        new Instant(0), // output watermark
        null, // synchronized processing time
        null, // StateReader
        null, // StateFetcher
        null, Windmill.WorkItemCommitRequest.newBuilder());
        @SuppressWarnings({ "unchecked", "rawtypes" }) NativeReader<WindowedValue<ValueWithRecordId<KV<Integer, Integer>>>> reader = (NativeReader) WorkerCustomSources.create((CloudObject) serializeToCloudSource(new TestCountingSource(Integer.MAX_VALUE), options).getSpec(), options, context);
        // Verify data.
        Instant beforeReading = Instant.now();
        int numReadOnThisIteration = 0;
        for (WindowedValue<ValueWithRecordId<KV<Integer, Integer>>> value : ReaderUtils.readAllFromReader(reader)) {
            assertEquals(KV.of(0, i), value.getValue().getValue());
            assertArrayEquals(encodeToByteArray(KvCoder.of(VarIntCoder.of(), VarIntCoder.of()), KV.of(0, i)), value.getValue().getId());
            assertThat(value.getWindows(), contains((BoundedWindow) GlobalWindow.INSTANCE));
            assertEquals(i, value.getTimestamp().getMillis());
            i++;
            numReadOnThisIteration++;
        }
        Instant afterReading = Instant.now();
        long maxReadSec = debugOptions.getUnboundedReaderMaxReadTimeSec();
        assertThat(new Duration(beforeReading, afterReading).getStandardSeconds(), lessThanOrEqualTo(maxReadSec + 1));
        assertThat(numReadOnThisIteration, lessThanOrEqualTo(debugOptions.getUnboundedReaderMaxElements()));
        // Extract and verify state modifications.
        context.flushState();
        state = context.getOutputBuilder().getSourceStateUpdates().getState();
        // CountingSource's watermark is the last record + 1.  i is now one past the last record,
        // so the expected watermark is i millis.
        assertEquals(TimeUnit.MILLISECONDS.toMicros(i), context.getOutputBuilder().getSourceWatermark());
        assertEquals(1, context.getOutputBuilder().getSourceStateUpdates().getFinalizeIdsList().size());
        assertNotNull(readerCache.acquireReader(context.getComputationKey(), context.getWork().getCacheToken(), context.getWorkToken() + 1));
        assertEquals(7L, context.getBacklogBytes());
    }
}

Example 27 with CloudObject

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

the class WorkerCustomSourcesTest method stepToCloudSource.

private static com.google.api.services.dataflow.model.Source stepToCloudSource(Step step) throws Exception {
    com.google.api.services.dataflow.model.Source res = dictionaryToCloudSource(getDictionary(step.getProperties(), PropertyNames.SOURCE_STEP_INPUT));
    // Encoding is specified in the step, not in the source itself.  This is
    // normal: incoming Dataflow API Source objects in map tasks will have the
    // encoding filled in from the step's output encoding.
    @SuppressWarnings("unchecked") List<Map<String, Object>> outputInfo = (List<Map<String, Object>>) step.getProperties().get(PropertyNames.OUTPUT_INFO);
    CloudObject encoding = CloudObject.fromSpec(getObject(outputInfo.get(0), PropertyNames.ENCODING));
    res.setCodec(encoding);
    return res;
}

Example 28 with CloudObject

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

the class LengthPrefixUnknownCoders method forParDoInstruction.

/**
 * Wrap unknown coders with a {@link LengthPrefixCoder} for the given {@link ParDoInstruction}.
 */
private static ParDoInstruction forParDoInstruction(ParDoInstruction input, boolean replaceWithByteArrayCoder) throws Exception {
    ParDoInstruction parDo = input;
    CloudObject userFn = CloudObject.fromSpec(parDo.getUserFn());
    String parDoFnType = userFn.getClassName();
    if (MERGE_WINDOWS_DO_FN.contains(parDoFnType)) {
        parDo = clone(input, ParDoInstruction.class);
        Map<String, Object> inputCoderObject = Structs.getObject(parDo.getUserFn(), WorkerPropertyNames.INPUT_CODER);
        parDo.getUserFn().put(WorkerPropertyNames.INPUT_CODER, forCodec(inputCoderObject, replaceWithByteArrayCoder));
    } else if ("CreateIsmShardKeyAndSortKeyDoFn".equals(parDoFnType) || "ToIsmRecordForMultimapDoFn".equals(parDoFnType) || "StreamingPCollectionViewWriterDoFn".equals(parDoFnType)) {
        parDo = clone(input, ParDoInstruction.class);
        Map<String, Object> inputCoderObject = Structs.getObject(parDo.getUserFn(), PropertyNames.ENCODING);
        parDo.getUserFn().put(PropertyNames.ENCODING, forCodec(inputCoderObject, replaceWithByteArrayCoder));
    }
    // TODO: Handle other types of ParDos.
    return parDo;
}

Example 29 with CloudObject

use of org.apache.beam.runners.dataflow.util.CloudObject 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 CloudObject

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

the class DeduceNodeLocationsFunction method executesInSdkHarness.

/**
 * Returns true iff the {@link ParallelInstruction} represents an instruction that executes within
 * the SDK harness as part of the fused sub-graph. This excludes special instructions related to
 * {@link GroupByKey} such as window assignment and window merging as they cross the Beam Fn API
 * with a specialized protocol.
 */
private static boolean executesInSdkHarness(ParallelInstruction parallelInstruction) {
    if (parallelInstruction.getRead() != null) {
        ReadInstruction readInstruction = parallelInstruction.getRead();
        CloudObject sourceSpec = CloudObject.fromSpec(CloudSourceUtils.flattenBaseSpecs(readInstruction.getSource()).getSpec());
        return !RUNNER_SOURCES.contains(sourceSpec.getClassName());
    } else if (parallelInstruction.getParDo() != null) {
        ParDoInstruction parDoInstruction = parallelInstruction.getParDo();
        CloudObject userFnSpec = CloudObject.fromSpec(parDoInstruction.getUserFn());
        return SDK_COMPATIBLE_PAR_DO_FNS.contains(userFnSpec.getClassName());
    }
    return false;
}