Examples with StageBundleFactory org.apache.beam.runners.fnexecution.control.StageBundleFactory used on opensource projects

Example 1 with StageBundleFactory

use of org.apache.beam.runners.fnexecution.control.StageBundleFactory in project flink by apache.

the class PythonTestUtils method createMockJobBundleFactory.

public static JobBundleFactory createMockJobBundleFactory() {
    JobBundleFactory jobBundleFactorySpy = spy(JobBundleFactory.class);
    StageBundleFactory stageBundleFactorySpy = spy(StageBundleFactory.class);
    when(jobBundleFactorySpy.forStage(any())).thenReturn(stageBundleFactorySpy);
    ProcessBundleDescriptors.ExecutableProcessBundleDescriptor processBundleDescriptor = spy(ProcessBundleDescriptors.ExecutableProcessBundleDescriptor.class);
    when(stageBundleFactorySpy.getProcessBundleDescriptor()).thenReturn(processBundleDescriptor);
    RemoteBundle remoteBundleSpy = spy(RemoteBundle.class);
    try {
        when(stageBundleFactorySpy.getBundle(any(OutputReceiverFactory.class), any(TimerReceiverFactory.class), any(StateRequestHandler.class), any(BundleProgressHandler.class))).thenReturn(remoteBundleSpy);
    } catch (Exception e) {
    // ignore
    }
    Map<String, FnDataReceiver> inputReceivers = new HashMap<>();
    FnDataReceiver<WindowedValue<?>> windowedValueReceiverSpy = spy(FnDataReceiver.class);
    inputReceivers.put("input", windowedValueReceiverSpy);
    when(remoteBundleSpy.getInputReceivers()).thenReturn(inputReceivers);
    return jobBundleFactorySpy;
}

Example 2 with StageBundleFactory

use of org.apache.beam.runners.fnexecution.control.StageBundleFactory 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 StageBundleFactory

use of org.apache.beam.runners.fnexecution.control.StageBundleFactory in project beam by apache.

the class ExecutableStageDoFnOperatorTest method outputsAreTaggedCorrectly.

@Test
public void outputsAreTaggedCorrectly() throws Exception {
    WindowedValue.ValueOnlyWindowedValueCoder<Integer> coder = WindowedValue.getValueOnlyCoder(VarIntCoder.of());
    TupleTag<Integer> mainOutput = new TupleTag<>("main-output");
    TupleTag<Integer> additionalOutput1 = new TupleTag<>("output-1");
    TupleTag<Integer> additionalOutput2 = new TupleTag<>("output-2");
    ImmutableMap<TupleTag<?>, OutputTag<?>> tagsToOutputTags = ImmutableMap.<TupleTag<?>, OutputTag<?>>builder().put(additionalOutput1, new OutputTag<WindowedValue<String>>(additionalOutput1.getId()) {
    }).put(additionalOutput2, new OutputTag<WindowedValue<String>>(additionalOutput2.getId()) {
    }).build();
    ImmutableMap<TupleTag<?>, Coder<WindowedValue<?>>> tagsToCoders = ImmutableMap.<TupleTag<?>, Coder<WindowedValue<?>>>builder().put(mainOutput, (Coder) coder).put(additionalOutput1, coder).put(additionalOutput2, coder).build();
    ImmutableMap<TupleTag<?>, Integer> tagsToIds = ImmutableMap.<TupleTag<?>, Integer>builder().put(mainOutput, 0).put(additionalOutput1, 1).put(additionalOutput2, 2).build();
    DoFnOperator.MultiOutputOutputManagerFactory<Integer> outputManagerFactory = new DoFnOperator.MultiOutputOutputManagerFactory(mainOutput, tagsToOutputTags, tagsToCoders, tagsToIds, new SerializablePipelineOptions(FlinkPipelineOptions.defaults()));
    WindowedValue<Integer> zero = WindowedValue.valueInGlobalWindow(0);
    WindowedValue<Integer> three = WindowedValue.valueInGlobalWindow(3);
    WindowedValue<Integer> four = WindowedValue.valueInGlobalWindow(4);
    WindowedValue<Integer> five = WindowedValue.valueInGlobalWindow(5);
    // We use a real StageBundleFactory here in order to exercise the output receiver factory.
    StageBundleFactory stageBundleFactory = new StageBundleFactory() {

        private boolean onceEmitted;

        @Override
        public RemoteBundle getBundle(OutputReceiverFactory receiverFactory, TimerReceiverFactory timerReceiverFactory, StateRequestHandler stateRequestHandler, BundleProgressHandler progressHandler, BundleFinalizationHandler finalizationHandler, BundleCheckpointHandler checkpointHandler) {
            return new RemoteBundle() {

                @Override
                public String getId() {
                    return "bundle-id";
                }

                @Override
                public Map<String, FnDataReceiver> getInputReceivers() {
                    return ImmutableMap.of("input", input -> {
                    /* Ignore input*/
                    });
                }

                @Override
                public Map<KV<String, String>, FnDataReceiver<Timer>> getTimerReceivers() {
                    return Collections.emptyMap();
                }

                @Override
                public void requestProgress() {
                    throw new UnsupportedOperationException();
                }

                @Override
                public void split(double fractionOfRemainder) {
                    throw new UnsupportedOperationException();
                }

                @Override
                public void close() throws Exception {
                    if (onceEmitted) {
                        return;
                    }
                    // Emit all values to the runner when the bundle is closed.
                    receiverFactory.create(mainOutput.getId()).accept(three);
                    receiverFactory.create(additionalOutput1.getId()).accept(four);
                    receiverFactory.create(additionalOutput2.getId()).accept(five);
                    onceEmitted = true;
                }
            };
        }

        @Override
        public ProcessBundleDescriptors.ExecutableProcessBundleDescriptor getProcessBundleDescriptor() {
            return processBundleDescriptor;
        }

        @Override
        public InstructionRequestHandler getInstructionRequestHandler() {
            return null;
        }

        @Override
        public void close() {
        }
    };
    // Wire the stage bundle factory into our context.
    when(stageContext.getStageBundleFactory(any())).thenReturn(stageBundleFactory);
    ExecutableStageDoFnOperator<Integer, Integer> operator = getOperator(mainOutput, ImmutableList.of(additionalOutput1, additionalOutput2), outputManagerFactory);
    OneInputStreamOperatorTestHarness<WindowedValue<Integer>, WindowedValue<Integer>> testHarness = new OneInputStreamOperatorTestHarness<>(operator);
    long watermark = testHarness.getCurrentWatermark() + 1;
    testHarness.open();
    testHarness.processElement(new StreamRecord<>(zero));
    testHarness.processWatermark(watermark);
    watermark++;
    testHarness.processWatermark(watermark);
    assertEquals(watermark, testHarness.getCurrentWatermark());
    // watermark hold until bundle complete
    assertEquals(0, testHarness.getOutput().size());
    // triggers finish bundle
    testHarness.close();
    assertThat(stripStreamRecordFromWindowedValue(testHarness.getOutput()), contains(three));
    assertThat(testHarness.getSideOutput(tagsToOutputTags.get(additionalOutput1)), contains(new StreamRecord<>(four)));
    assertThat(testHarness.getSideOutput(tagsToOutputTags.get(additionalOutput2)), contains(new StreamRecord<>(five)));
}

Example 4 with StageBundleFactory

use of org.apache.beam.runners.fnexecution.control.StageBundleFactory in project beam by apache.

the class FlinkExecutableStageFunctionTest method outputsAreTaggedCorrectly.

@Test
public void outputsAreTaggedCorrectly() throws Exception {
    WindowedValue<Integer> three = WindowedValue.valueInGlobalWindow(3);
    WindowedValue<Integer> four = WindowedValue.valueInGlobalWindow(4);
    WindowedValue<Integer> five = WindowedValue.valueInGlobalWindow(5);
    Map<String, Integer> outputTagMap = ImmutableMap.of("one", 1, "two", 2, "three", 3);
    // We use a real StageBundleFactory here in order to exercise the output receiver factory.
    StageBundleFactory stageBundleFactory = new StageBundleFactory() {

        private boolean once;

        @Override
        public RemoteBundle getBundle(OutputReceiverFactory receiverFactory, TimerReceiverFactory timerReceiverFactory, StateRequestHandler stateRequestHandler, BundleProgressHandler progressHandler, BundleFinalizationHandler finalizationHandler, BundleCheckpointHandler checkpointHandler) {
            return new RemoteBundle() {

                @Override
                public String getId() {
                    return "bundle-id";
                }

                @Override
                public Map<String, FnDataReceiver> getInputReceivers() {
                    return ImmutableMap.of("input", input -> {
                    /* Ignore input*/
                    });
                }

                @Override
                public Map<KV<String, String>, FnDataReceiver<Timer>> getTimerReceivers() {
                    return Collections.emptyMap();
                }

                @Override
                public void requestProgress() {
                    throw new UnsupportedOperationException();
                }

                @Override
                public void split(double fractionOfRemainder) {
                    throw new UnsupportedOperationException();
                }

                @Override
                public void close() throws Exception {
                    if (once) {
                        return;
                    }
                    // Emit all values to the runner when the bundle is closed.
                    receiverFactory.create("one").accept(three);
                    receiverFactory.create("two").accept(four);
                    receiverFactory.create("three").accept(five);
                    once = true;
                }
            };
        }

        @Override
        public ProcessBundleDescriptors.ExecutableProcessBundleDescriptor getProcessBundleDescriptor() {
            return processBundleDescriptor;
        }

        @Override
        public InstructionRequestHandler getInstructionRequestHandler() {
            return null;
        }

        @Override
        public void close() throws Exception {
        }
    };
    // Wire the stage bundle factory into our context.
    when(stageContext.getStageBundleFactory(any())).thenReturn(stageBundleFactory);
    FlinkExecutableStageFunction<Integer> function = getFunction(outputTagMap);
    function.open(new Configuration());
    if (isStateful) {
        function.reduce(Collections.emptyList(), collector);
    } else {
        function.mapPartition(Collections.emptyList(), collector);
    }
    // Ensure that the tagged values sent to the collector have the correct union tags as specified
    // in the output map.
    verify(collector).collect(new RawUnionValue(1, three));
    verify(collector).collect(new RawUnionValue(2, four));
    verify(collector).collect(new RawUnionValue(3, five));
    verifyNoMoreInteractions(collector);
}

Example 5 with StageBundleFactory

use of org.apache.beam.runners.fnexecution.control.StageBundleFactory in project flink by apache.

the class BeamPythonFunctionRunner method open.

// ------------------------------------------------------------------------
@Override
public void open(PythonConfig config) throws Exception {
    this.bundleStarted = false;
    this.resultBuffer = new LinkedBlockingQueue<>();
    this.reusableResultTuple = new Tuple2<>();
    // The creation of stageBundleFactory depends on the initialized environment manager.
    environmentManager.open();
    PortablePipelineOptions portableOptions = PipelineOptionsFactory.as(PortablePipelineOptions.class);
    if (jobOptions.containsKey(PythonOptions.STATE_CACHE_SIZE.key())) {
        portableOptions.as(ExperimentalOptions.class).setExperiments(Collections.singletonList(ExperimentalOptions.STATE_CACHE_SIZE + "=" + jobOptions.get(PythonOptions.STATE_CACHE_SIZE.key())));
    }
    Struct pipelineOptions = PipelineOptionsTranslation.toProto(portableOptions);
    if (memoryManager != null && config.isUsingManagedMemory()) {
        Preconditions.checkArgument(managedMemoryFraction > 0 && managedMemoryFraction <= 1.0, "The configured managed memory fraction for Python worker process must be within (0, 1], was: %s. " + "It may be because the consumer type \"Python\" was missing or set to 0 for the config option \"taskmanager.memory.managed.consumer-weights\"." + managedMemoryFraction);
        final LongFunctionWithException<PythonSharedResources, Exception> initializer = (size) -> new PythonSharedResources(createJobBundleFactory(pipelineOptions), createPythonExecutionEnvironment(size));
        sharedResources = memoryManager.getSharedMemoryResourceForManagedMemory(MANAGED_MEMORY_RESOURCE_ID, initializer, managedMemoryFraction);
        LOG.info("Obtained shared Python process of size {} bytes", sharedResources.getSize());
        sharedResources.getResourceHandle().addPythonEnvironmentManager(environmentManager);
        JobBundleFactory jobBundleFactory = sharedResources.getResourceHandle().getJobBundleFactory();
        RunnerApi.Environment environment = sharedResources.getResourceHandle().getEnvironment();
        stageBundleFactory = createStageBundleFactory(jobBundleFactory, environment);
    } else {
        // there is no way to access the MemoryManager for the batch job of old planner,
        // fallback to the way that spawning a Python process for each Python operator
        jobBundleFactory = createJobBundleFactory(pipelineOptions);
        stageBundleFactory = createStageBundleFactory(jobBundleFactory, createPythonExecutionEnvironment(-1));
    }
    progressHandler = getProgressHandler(flinkMetricContainer);
}