Examples with ParDo org.apache.beam.sdk.transforms.ParDo used on opensource projects

Example 6 with ParDo

use of org.apache.beam.sdk.transforms.ParDo in project beam by apache.

the class SplittableParDoTest method applySplittableParDo.

private PCollection<String> applySplittableParDo(String name, PCollection<Integer> input, DoFn<Integer, String> fn) {
    ParDo.MultiOutput<Integer, String> multiOutput = ParDo.of(fn).withOutputTags(MAIN_OUTPUT_TAG, TupleTagList.empty());
    PCollectionTuple output = multiOutput.expand(input);
    output.get(MAIN_OUTPUT_TAG).setName("main");
    AppliedPTransform<PCollection<Integer>, PCollectionTuple, ?> transform = AppliedPTransform.of("ParDo", PValues.expandInput(input), PValues.expandOutput(output), multiOutput, ResourceHints.create(), pipeline);
    return input.apply(name, SplittableParDo.forAppliedParDo(transform)).get(MAIN_OUTPUT_TAG);
}

Example 7 with ParDo

use of org.apache.beam.sdk.transforms.ParDo in project beam by apache.

the class ParDoBoundMultiTranslator method doTranslatePortable.

// static for serializing anonymous functions
private static <InT, OutT> void doTranslatePortable(PipelineNode.PTransformNode transform, QueryablePipeline pipeline, PortableTranslationContext ctx) {
    Map<String, String> outputs = transform.getTransform().getOutputsMap();
    final RunnerApi.ExecutableStagePayload stagePayload;
    try {
        stagePayload = RunnerApi.ExecutableStagePayload.parseFrom(transform.getTransform().getSpec().getPayload());
    } catch (IOException e) {
        throw new RuntimeException(e);
    }
    String inputId = stagePayload.getInput();
    final MessageStream<OpMessage<InT>> inputStream = ctx.getMessageStreamById(inputId);
    // Analyze side inputs
    final List<MessageStream<OpMessage<Iterable<?>>>> sideInputStreams = new ArrayList<>();
    final Map<SideInputId, PCollectionView<?>> sideInputMapping = new HashMap<>();
    final Map<String, PCollectionView<?>> idToViewMapping = new HashMap<>();
    final RunnerApi.Components components = stagePayload.getComponents();
    for (SideInputId sideInputId : stagePayload.getSideInputsList()) {
        final String sideInputCollectionId = components.getTransformsOrThrow(sideInputId.getTransformId()).getInputsOrThrow(sideInputId.getLocalName());
        final WindowingStrategy<?, BoundedWindow> windowingStrategy = WindowUtils.getWindowStrategy(sideInputCollectionId, components);
        final WindowedValue.WindowedValueCoder<?> coder = (WindowedValue.WindowedValueCoder) instantiateCoder(sideInputCollectionId, components);
        // Create a runner-side view
        final PCollectionView<?> view = createPCollectionView(sideInputId, coder, windowingStrategy);
        // Use GBK to aggregate the side inputs and then broadcast it out
        final MessageStream<OpMessage<Iterable<?>>> broadcastSideInput = groupAndBroadcastSideInput(sideInputId, sideInputCollectionId, components.getPcollectionsOrThrow(sideInputCollectionId), (WindowingStrategy) windowingStrategy, coder, ctx);
        sideInputStreams.add(broadcastSideInput);
        sideInputMapping.put(sideInputId, view);
        idToViewMapping.put(getSideInputUniqueId(sideInputId), view);
    }
    final Map<TupleTag<?>, Integer> tagToIndexMap = new HashMap<>();
    final Map<Integer, String> indexToIdMap = new HashMap<>();
    final Map<String, TupleTag<?>> idToTupleTagMap = new HashMap<>();
    // first output as the main output
    final TupleTag<OutT> mainOutputTag = outputs.isEmpty() ? null : new TupleTag(outputs.keySet().iterator().next());
    AtomicInteger index = new AtomicInteger(0);
    outputs.keySet().iterator().forEachRemaining(outputName -> {
        TupleTag<?> tupleTag = new TupleTag<>(outputName);
        tagToIndexMap.put(tupleTag, index.get());
        String collectionId = outputs.get(outputName);
        indexToIdMap.put(index.get(), collectionId);
        idToTupleTagMap.put(collectionId, tupleTag);
        index.incrementAndGet();
    });
    WindowedValue.WindowedValueCoder<InT> windowedInputCoder = WindowUtils.instantiateWindowedCoder(inputId, pipeline.getComponents());
    // TODO: support schema and side inputs for portable runner
    // Note: transform.getTransform() is an ExecutableStage, not ParDo, so we need to extract
    // these info from its components.
    final DoFnSchemaInformation doFnSchemaInformation = null;
    final RunnerApi.PCollection input = pipeline.getComponents().getPcollectionsOrThrow(inputId);
    final PCollection.IsBounded isBounded = SamzaPipelineTranslatorUtils.isBounded(input);
    final Coder<?> keyCoder = StateUtils.isStateful(stagePayload) ? ((KvCoder) ((WindowedValue.FullWindowedValueCoder) windowedInputCoder).getValueCoder()).getKeyCoder() : null;
    final DoFnOp<InT, OutT, RawUnionValue> op = new DoFnOp<>(mainOutputTag, new NoOpDoFn<>(), keyCoder, // input coder not in use
    windowedInputCoder.getValueCoder(), windowedInputCoder, // output coders not in use
    Collections.emptyMap(), new ArrayList<>(sideInputMapping.values()), // used by java runner only
    new ArrayList<>(idToTupleTagMap.values()), WindowUtils.getWindowStrategy(inputId, stagePayload.getComponents()), idToViewMapping, new DoFnOp.MultiOutputManagerFactory(tagToIndexMap), ctx.getTransformFullName(), ctx.getTransformId(), isBounded, true, stagePayload, ctx.getJobInfo(), idToTupleTagMap, doFnSchemaInformation, sideInputMapping);
    final MessageStream<OpMessage<InT>> mergedStreams;
    if (sideInputStreams.isEmpty()) {
        mergedStreams = inputStream;
    } else {
        MessageStream<OpMessage<InT>> mergedSideInputStreams = MessageStream.mergeAll(sideInputStreams).flatMap(new SideInputWatermarkFn());
        mergedStreams = inputStream.merge(Collections.singletonList(mergedSideInputStreams));
    }
    final MessageStream<OpMessage<RawUnionValue>> taggedOutputStream = mergedStreams.flatMapAsync(OpAdapter.adapt(op));
    for (int outputIndex : tagToIndexMap.values()) {
        @SuppressWarnings("unchecked") final MessageStream<OpMessage<OutT>> outputStream = taggedOutputStream.filter(message -> message.getType() != OpMessage.Type.ELEMENT || message.getElement().getValue().getUnionTag() == outputIndex).flatMapAsync(OpAdapter.adapt(new RawUnionValueToValue()));
        ctx.registerMessageStream(indexToIdMap.get(outputIndex), outputStream);
    }
}

Example 8 with ParDo

use of org.apache.beam.sdk.transforms.ParDo in project beam by apache.

the class TransformTranslator method parDo.

private static <InputT, OutputT> TransformEvaluator<ParDo.MultiOutput<InputT, OutputT>> parDo() {
    return new TransformEvaluator<ParDo.MultiOutput<InputT, OutputT>>() {

        @Override
        @SuppressWarnings("unchecked")
        public void evaluate(ParDo.MultiOutput<InputT, OutputT> transform, EvaluationContext context) {
            String stepName = context.getCurrentTransform().getFullName();
            DoFn<InputT, OutputT> doFn = transform.getFn();
            checkState(!DoFnSignatures.signatureForDoFn(doFn).processElement().isSplittable(), "Not expected to directly translate splittable DoFn, should have been overridden: %s", doFn);
            JavaRDD<WindowedValue<InputT>> inRDD = ((BoundedDataset<InputT>) context.borrowDataset(transform)).getRDD();
            WindowingStrategy<?, ?> windowingStrategy = context.getInput(transform).getWindowingStrategy();
            MetricsContainerStepMapAccumulator metricsAccum = MetricsAccumulator.getInstance();
            Coder<InputT> inputCoder = (Coder<InputT>) context.getInput(transform).getCoder();
            Map<TupleTag<?>, Coder<?>> outputCoders = context.getOutputCoders();
            JavaPairRDD<TupleTag<?>, WindowedValue<?>> all;
            DoFnSignature signature = DoFnSignatures.getSignature(transform.getFn().getClass());
            boolean stateful = signature.stateDeclarations().size() > 0 || signature.timerDeclarations().size() > 0;
            DoFnSchemaInformation doFnSchemaInformation;
            doFnSchemaInformation = ParDoTranslation.getSchemaInformation(context.getCurrentTransform());
            Map<String, PCollectionView<?>> sideInputMapping = ParDoTranslation.getSideInputMapping(context.getCurrentTransform());
            MultiDoFnFunction<InputT, OutputT> multiDoFnFunction = new MultiDoFnFunction<>(metricsAccum, stepName, doFn, context.getSerializableOptions(), transform.getMainOutputTag(), transform.getAdditionalOutputTags().getAll(), inputCoder, outputCoders, TranslationUtils.getSideInputs(transform.getSideInputs().values(), context), windowingStrategy, stateful, doFnSchemaInformation, sideInputMapping);
            if (stateful) {
                // Based on the fact that the signature is stateful, DoFnSignatures ensures
                // that it is also keyed
                all = statefulParDoTransform((KvCoder) context.getInput(transform).getCoder(), windowingStrategy.getWindowFn().windowCoder(), (JavaRDD) inRDD, getPartitioner(context), (MultiDoFnFunction) multiDoFnFunction, signature.processElement().requiresTimeSortedInput());
            } else {
                all = inRDD.mapPartitionsToPair(multiDoFnFunction);
            }
            Map<TupleTag<?>, PCollection<?>> outputs = context.getOutputs(transform);
            if (outputs.size() > 1) {
                StorageLevel level = StorageLevel.fromString(context.storageLevel());
                if (canAvoidRddSerialization(level)) {
                    // if it is memory only reduce the overhead of moving to bytes
                    all = all.persist(level);
                } else {
                    // Caching can cause Serialization, we need to code to bytes
                    // more details in https://issues.apache.org/jira/browse/BEAM-2669
                    Map<TupleTag<?>, Coder<WindowedValue<?>>> coderMap = TranslationUtils.getTupleTagCoders(outputs);
                    all = all.mapToPair(TranslationUtils.getTupleTagEncodeFunction(coderMap)).persist(level).mapToPair(TranslationUtils.getTupleTagDecodeFunction(coderMap));
                }
            }
            for (Map.Entry<TupleTag<?>, PCollection<?>> output : outputs.entrySet()) {
                JavaPairRDD<TupleTag<?>, WindowedValue<?>> filtered = all.filter(new TranslationUtils.TupleTagFilter(output.getKey()));
                // Object is the best we can do since different outputs can have different tags
                JavaRDD<WindowedValue<Object>> values = (JavaRDD<WindowedValue<Object>>) (JavaRDD<?>) filtered.values();
                context.putDataset(output.getValue(), new BoundedDataset<>(values));
            }
        }

        @Override
        public String toNativeString() {
            return "mapPartitions(new <fn>())";
        }
    };
}

Example 9 with ParDo

use of org.apache.beam.sdk.transforms.ParDo in project beam by apache.

the class BeamZetaSqlCalcRelTest method testNoFieldAccess.

@Test
public void testNoFieldAccess() throws IllegalAccessException {
    String sql = "SELECT 1 FROM KeyValue";
    PCollection<Row> rows = compile(sql);
    final NodeGetter nodeGetter = new NodeGetter(rows);
    pipeline.traverseTopologically(nodeGetter);
    ParDo.MultiOutput<Row, Row> pardo = (ParDo.MultiOutput<Row, Row>) nodeGetter.producer.getTransform();
    PCollection<Row> input = (PCollection<Row>) Iterables.getOnlyElement(nodeGetter.producer.getInputs().values());
    DoFnSchemaInformation info = ParDo.getDoFnSchemaInformation(pardo.getFn(), input);
    FieldAccessDescriptor fieldAccess = info.getFieldAccessDescriptor();
    Assert.assertFalse(fieldAccess.getAllFields());
    Assert.assertTrue(fieldAccess.getFieldsAccessed().isEmpty());
    Assert.assertTrue(fieldAccess.getNestedFieldsAccessed().isEmpty());
    pipeline.run().waitUntilFinish();
}

Example 10 with ParDo

use of org.apache.beam.sdk.transforms.ParDo in project beam by apache.

the class BeamCalcRelTest method testSingleFieldAccess.

@Test
public void testSingleFieldAccess() throws IllegalAccessException {
    String sql = "SELECT order_id FROM ORDER_DETAILS_BOUNDED";
    PCollection<Row> rows = compilePipeline(sql, pipeline);
    final NodeGetter nodeGetter = new NodeGetter(rows);
    pipeline.traverseTopologically(nodeGetter);
    ParDo.MultiOutput<Row, Row> pardo = (ParDo.MultiOutput<Row, Row>) nodeGetter.producer.getTransform();
    PCollection<Row> input = (PCollection<Row>) Iterables.getOnlyElement(nodeGetter.producer.getInputs().values());
    DoFnSchemaInformation info = ParDo.getDoFnSchemaInformation(pardo.getFn(), input);
    FieldAccessDescriptor fieldAccess = info.getFieldAccessDescriptor();
    Assert.assertTrue(fieldAccess.referencesSingleField());
    Assert.assertEquals("order_id", Iterables.getOnlyElement(fieldAccess.fieldNamesAccessed()));
    pipeline.run().waitUntilFinish();
}