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FlinkStreamingPortablePipelineTranslator.java
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FlinkStreamingPortablePipelineTranslator.java
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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.beam.runners.flink;
import com.google.common.collect.BiMap;
import com.google.common.collect.HashMultiset;
import com.google.common.collect.ImmutableMap;
import com.google.common.collect.Iterables;
import com.google.common.collect.Lists;
import com.google.common.collect.Maps;
import java.io.IOException;
import java.nio.ByteBuffer;
import java.util.ArrayList;
import java.util.Collections;
import java.util.HashMap;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.TreeMap;
import org.apache.beam.model.pipeline.v1.RunnerApi;
import org.apache.beam.runners.core.SystemReduceFn;
import org.apache.beam.runners.core.construction.PTransformTranslation;
import org.apache.beam.runners.core.construction.RehydratedComponents;
import org.apache.beam.runners.core.construction.RunnerPCollectionView;
import org.apache.beam.runners.core.construction.WindowingStrategyTranslation;
import org.apache.beam.runners.core.construction.graph.ExecutableStage;
import org.apache.beam.runners.core.construction.graph.PipelineNode;
import org.apache.beam.runners.core.construction.graph.QueryablePipeline;
import org.apache.beam.runners.flink.translation.functions.FlinkAssignWindows;
import org.apache.beam.runners.flink.translation.functions.FlinkExecutableStageContext;
import org.apache.beam.runners.flink.translation.types.CoderTypeInformation;
import org.apache.beam.runners.flink.translation.utils.FlinkPipelineTranslatorUtils;
import org.apache.beam.runners.flink.translation.wrappers.streaming.DoFnOperator;
import org.apache.beam.runners.flink.translation.wrappers.streaming.ExecutableStageDoFnOperator;
import org.apache.beam.runners.flink.translation.wrappers.streaming.SingletonKeyedWorkItem;
import org.apache.beam.runners.flink.translation.wrappers.streaming.SingletonKeyedWorkItemCoder;
import org.apache.beam.runners.flink.translation.wrappers.streaming.WindowDoFnOperator;
import org.apache.beam.runners.flink.translation.wrappers.streaming.WorkItemKeySelector;
import org.apache.beam.runners.fnexecution.provisioning.JobInfo;
import org.apache.beam.runners.fnexecution.wire.WireCoders;
import org.apache.beam.sdk.coders.ByteArrayCoder;
import org.apache.beam.sdk.coders.Coder;
import org.apache.beam.sdk.coders.IterableCoder;
import org.apache.beam.sdk.coders.KvCoder;
import org.apache.beam.sdk.coders.VoidCoder;
import org.apache.beam.sdk.transforms.ViewFn;
import org.apache.beam.sdk.transforms.join.RawUnionValue;
import org.apache.beam.sdk.transforms.join.UnionCoder;
import org.apache.beam.sdk.transforms.windowing.BoundedWindow;
import org.apache.beam.sdk.transforms.windowing.GlobalWindow;
import org.apache.beam.sdk.transforms.windowing.WindowFn;
import org.apache.beam.sdk.util.WindowedValue;
import org.apache.beam.sdk.util.WindowedValue.WindowedValueCoder;
import org.apache.beam.sdk.values.KV;
import org.apache.beam.sdk.values.PCollectionView;
import org.apache.beam.sdk.values.PCollectionViews;
import org.apache.beam.sdk.values.TupleTag;
import org.apache.beam.sdk.values.WindowingStrategy;
import org.apache.beam.vendor.protobuf.v3.com.google.protobuf.InvalidProtocolBufferException;
import org.apache.flink.api.common.functions.FlatMapFunction;
import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.api.common.typeinfo.TypeInformation;
import org.apache.flink.api.java.functions.KeySelector;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.datastream.KeyedStream;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.operators.OneInputStreamOperator;
import org.apache.flink.util.Collector;
import org.apache.flink.util.OutputTag;
/** Translate an unbounded portable pipeline representation into a Flink pipeline representation. */
public class FlinkStreamingPortablePipelineTranslator
implements FlinkPortablePipelineTranslator<
FlinkStreamingPortablePipelineTranslator.StreamingTranslationContext> {
/**
* Creates a streaming translation context. The resulting Flink execution dag will live in a new
* {@link StreamExecutionEnvironment}.
*/
public static StreamingTranslationContext createTranslationContext(
JobInfo jobInfo, FlinkPipelineOptions pipelineOptions, List<String> filesToStage) {
StreamExecutionEnvironment executionEnvironment =
FlinkExecutionEnvironments.createStreamExecutionEnvironment(pipelineOptions, filesToStage);
return new StreamingTranslationContext(jobInfo, pipelineOptions, executionEnvironment);
}
/**
* Streaming translation context. Stores metadata about known PCollections/DataStreams and holds
* the Flink {@link StreamExecutionEnvironment} that the execution plan will be applied to.
*/
public static class StreamingTranslationContext
implements FlinkPortablePipelineTranslator.TranslationContext {
private final JobInfo jobInfo;
private final FlinkPipelineOptions options;
private final StreamExecutionEnvironment executionEnvironment;
private final Map<String, DataStream<?>> dataStreams;
private StreamingTranslationContext(
JobInfo jobInfo,
FlinkPipelineOptions options,
StreamExecutionEnvironment executionEnvironment) {
this.jobInfo = jobInfo;
this.options = options;
this.executionEnvironment = executionEnvironment;
dataStreams = new HashMap<>();
}
@Override
public JobInfo getJobInfo() {
return jobInfo;
}
@Override
public FlinkPipelineOptions getPipelineOptions() {
return options;
}
public StreamExecutionEnvironment getExecutionEnvironment() {
return executionEnvironment;
}
public <T> void addDataStream(String pCollectionId, DataStream<T> dataSet) {
dataStreams.put(pCollectionId, dataSet);
}
public <T> DataStream<T> getDataStreamOrThrow(String pCollectionId) {
DataStream<T> dataSet = (DataStream<T>) dataStreams.get(pCollectionId);
if (dataSet == null) {
throw new IllegalArgumentException(
String.format("Unknown datastream for id %s.", pCollectionId));
}
return dataSet;
}
}
interface PTransformTranslator<T> {
void translate(String id, RunnerApi.Pipeline pipeline, T t);
}
private final Map<String, PTransformTranslator<StreamingTranslationContext>>
urnToTransformTranslator;
FlinkStreamingPortablePipelineTranslator() {
ImmutableMap.Builder<String, PTransformTranslator<StreamingTranslationContext>> translatorMap =
ImmutableMap.builder();
translatorMap.put(PTransformTranslation.FLATTEN_TRANSFORM_URN, this::translateFlatten);
translatorMap.put(PTransformTranslation.GROUP_BY_KEY_TRANSFORM_URN, this::translateGroupByKey);
translatorMap.put(PTransformTranslation.IMPULSE_TRANSFORM_URN, this::translateImpulse);
translatorMap.put(
PTransformTranslation.ASSIGN_WINDOWS_TRANSFORM_URN, this::translateAssignWindows);
translatorMap.put(ExecutableStage.URN, this::translateExecutableStage);
translatorMap.put(PTransformTranslation.RESHUFFLE_URN, this::translateReshuffle);
this.urnToTransformTranslator = translatorMap.build();
}
@Override
public void translate(StreamingTranslationContext context, RunnerApi.Pipeline pipeline) {
QueryablePipeline p =
QueryablePipeline.forTransforms(
pipeline.getRootTransformIdsList(), pipeline.getComponents());
for (PipelineNode.PTransformNode transform : p.getTopologicallyOrderedTransforms()) {
urnToTransformTranslator
.getOrDefault(transform.getTransform().getSpec().getUrn(), this::urnNotFound)
.translate(transform.getId(), pipeline, context);
}
}
private void urnNotFound(
String id,
RunnerApi.Pipeline pipeline,
FlinkStreamingPortablePipelineTranslator.TranslationContext context) {
throw new IllegalArgumentException(
String.format(
"Unknown type of URN %s for PTransform with id %s.",
pipeline.getComponents().getTransformsOrThrow(id).getSpec().getUrn(), id));
}
private <K, V> void translateReshuffle(
String id, RunnerApi.Pipeline pipeline, StreamingTranslationContext context) {
RunnerApi.PTransform transform = pipeline.getComponents().getTransformsOrThrow(id);
DataStream<WindowedValue<KV<K, V>>> inputDataStream =
context.getDataStreamOrThrow(Iterables.getOnlyElement(transform.getInputsMap().values()));
context.addDataStream(
Iterables.getOnlyElement(transform.getOutputsMap().values()), inputDataStream.rebalance());
}
private <T> void translateFlatten(
String id, RunnerApi.Pipeline pipeline, StreamingTranslationContext context) {
Map<String, String> allInputs =
pipeline.getComponents().getTransformsOrThrow(id).getInputsMap();
if (allInputs.isEmpty()) {
// create an empty dummy source to satisfy downstream operations
// we cannot create an empty source in Flink, therefore we have to
// add the flatMap that simply never forwards the single element
DataStreamSource<String> dummySource =
context.getExecutionEnvironment().fromElements("dummy");
DataStream<WindowedValue<T>> result =
dummySource
.<WindowedValue<T>>flatMap(
(s, collector) -> {
// never return anything
})
.returns(
new CoderTypeInformation<>(
WindowedValue.getFullCoder(
(Coder<T>) VoidCoder.of(), GlobalWindow.Coder.INSTANCE)));
context.addDataStream(
Iterables.getOnlyElement(
pipeline.getComponents().getTransformsOrThrow(id).getOutputsMap().values()),
result);
} else {
DataStream<T> result = null;
// Determine DataStreams that we use as input several times. For those, we need to uniquify
// input streams because Flink seems to swallow watermarks when we have a union of one and
// the same stream.
HashMultiset<DataStream<T>> inputCounts = HashMultiset.create();
for (String input : allInputs.values()) {
DataStream<T> current = context.getDataStreamOrThrow(input);
inputCounts.add(current, 1);
}
for (String input : allInputs.values()) {
DataStream<T> current = context.getDataStreamOrThrow(input);
final int timesRequired = inputCounts.count(current);
if (timesRequired > 1) {
current =
current.flatMap(
new FlatMapFunction<T, T>() {
private static final long serialVersionUID = 1L;
@Override
public void flatMap(T t, Collector<T> collector) {
collector.collect(t);
}
});
}
result = (result == null) ? current : result.union(current);
}
context.addDataStream(
Iterables.getOnlyElement(
pipeline.getComponents().getTransformsOrThrow(id).getOutputsMap().values()),
result);
}
}
private <K, V> void translateGroupByKey(
String id, RunnerApi.Pipeline pipeline, StreamingTranslationContext context) {
RunnerApi.PTransform pTransform = pipeline.getComponents().getTransformsOrThrow(id);
String inputPCollectionId = Iterables.getOnlyElement(pTransform.getInputsMap().values());
RehydratedComponents rehydratedComponents =
RehydratedComponents.forComponents(pipeline.getComponents());
RunnerApi.WindowingStrategy windowingStrategyProto =
pipeline
.getComponents()
.getWindowingStrategiesOrThrow(
pipeline
.getComponents()
.getPcollectionsOrThrow(inputPCollectionId)
.getWindowingStrategyId());
WindowingStrategy<?, ?> windowingStrategy;
try {
windowingStrategy =
WindowingStrategyTranslation.fromProto(windowingStrategyProto, rehydratedComponents);
} catch (InvalidProtocolBufferException e) {
throw new IllegalStateException(
String.format(
"Unable to hydrate GroupByKey windowing strategy %s.", windowingStrategyProto),
e);
}
WindowedValueCoder<KV<K, V>> windowedInputCoder =
(WindowedValueCoder) instantiateCoder(inputPCollectionId, pipeline.getComponents());
DataStream<WindowedValue<KV<K, V>>> inputDataStream =
context.getDataStreamOrThrow(inputPCollectionId);
SingleOutputStreamOperator<WindowedValue<KV<K, Iterable<V>>>> outputDataStream =
addGBK(
inputDataStream,
windowingStrategy,
windowedInputCoder,
pTransform.getUniqueName(),
context);
context.addDataStream(
Iterables.getOnlyElement(pTransform.getOutputsMap().values()), outputDataStream);
}
private <K, V> SingleOutputStreamOperator<WindowedValue<KV<K, Iterable<V>>>> addGBK(
DataStream<WindowedValue<KV<K, V>>> inputDataStream,
WindowingStrategy<?, ?> windowingStrategy,
WindowedValueCoder<KV<K, V>> windowedInputCoder,
String operatorName,
StreamingTranslationContext context) {
KvCoder<K, V> inputElementCoder = (KvCoder<K, V>) windowedInputCoder.getValueCoder();
SingletonKeyedWorkItemCoder<K, V> workItemCoder =
SingletonKeyedWorkItemCoder.of(
inputElementCoder.getKeyCoder(),
inputElementCoder.getValueCoder(),
windowingStrategy.getWindowFn().windowCoder());
WindowedValue.FullWindowedValueCoder<SingletonKeyedWorkItem<K, V>> windowedWorkItemCoder =
WindowedValue.getFullCoder(workItemCoder, windowingStrategy.getWindowFn().windowCoder());
CoderTypeInformation<WindowedValue<SingletonKeyedWorkItem<K, V>>> workItemTypeInfo =
new CoderTypeInformation<>(windowedWorkItemCoder);
DataStream<WindowedValue<SingletonKeyedWorkItem<K, V>>> workItemStream =
inputDataStream
.flatMap(new FlinkStreamingTransformTranslators.ToKeyedWorkItem<>())
.returns(workItemTypeInfo)
.name("ToKeyedWorkItem");
WorkItemKeySelector<K, V> keySelector =
new WorkItemKeySelector<>(inputElementCoder.getKeyCoder());
KeyedStream<WindowedValue<SingletonKeyedWorkItem<K, V>>, ByteBuffer> keyedWorkItemStream =
workItemStream.keyBy(keySelector);
SystemReduceFn<K, V, Iterable<V>, Iterable<V>, BoundedWindow> reduceFn =
SystemReduceFn.buffering(inputElementCoder.getValueCoder());
Coder<Iterable<V>> accumulatorCoder = IterableCoder.of(inputElementCoder.getValueCoder());
Coder<WindowedValue<KV<K, Iterable<V>>>> outputCoder =
WindowedValue.getFullCoder(
KvCoder.of(inputElementCoder.getKeyCoder(), accumulatorCoder),
windowingStrategy.getWindowFn().windowCoder());
TypeInformation<WindowedValue<KV<K, Iterable<V>>>> outputTypeInfo =
new CoderTypeInformation<>(outputCoder);
TupleTag<KV<K, Iterable<V>>> mainTag = new TupleTag<>("main output");
WindowDoFnOperator<K, V, Iterable<V>> doFnOperator =
new WindowDoFnOperator<K, V, Iterable<V>>(
reduceFn,
operatorName,
(Coder) windowedWorkItemCoder,
mainTag,
Collections.emptyList(),
new DoFnOperator.MultiOutputOutputManagerFactory(mainTag, outputCoder),
windowingStrategy,
new HashMap<>(), /* side-input mapping */
Collections.emptyList(), /* side inputs */
context.getPipelineOptions(),
inputElementCoder.getKeyCoder(),
(KeySelector) keySelector /* key selector */);
SingleOutputStreamOperator<WindowedValue<KV<K, Iterable<V>>>> outputDataStream =
keyedWorkItemStream.transform(
operatorName, outputTypeInfo, (OneInputStreamOperator) doFnOperator);
return outputDataStream;
}
private void translateImpulse(
String id, RunnerApi.Pipeline pipeline, StreamingTranslationContext context) {
RunnerApi.PTransform pTransform = pipeline.getComponents().getTransformsOrThrow(id);
TypeInformation<WindowedValue<byte[]>> typeInfo =
new CoderTypeInformation<>(
WindowedValue.getFullCoder(ByteArrayCoder.of(), GlobalWindow.Coder.INSTANCE));
DataStreamSource<WindowedValue<byte[]>> source =
context
.getExecutionEnvironment()
.fromCollection(
Collections.singleton(WindowedValue.valueInGlobalWindow(new byte[0])), typeInfo);
context.addDataStream(Iterables.getOnlyElement(pTransform.getOutputsMap().values()), source);
}
private <T> void translateAssignWindows(
String id, RunnerApi.Pipeline pipeline, StreamingTranslationContext context) {
RunnerApi.Components components = pipeline.getComponents();
RunnerApi.PTransform transform = components.getTransformsOrThrow(id);
RunnerApi.WindowIntoPayload payload;
try {
payload = RunnerApi.WindowIntoPayload.parseFrom(transform.getSpec().getPayload());
} catch (InvalidProtocolBufferException e) {
throw new IllegalArgumentException(e);
}
//TODO: https://issues.apache.org/jira/browse/BEAM-4296
// This only works for well known window fns, we should defer this execution to the SDK
// if the WindowFn can't be parsed or just defer it all the time.
WindowFn<T, ? extends BoundedWindow> windowFn =
(WindowFn<T, ? extends BoundedWindow>)
WindowingStrategyTranslation.windowFnFromProto(payload.getWindowFn());
String inputCollectionId = Iterables.getOnlyElement(transform.getInputsMap().values());
String outputCollectionId = Iterables.getOnlyElement(transform.getOutputsMap().values());
Coder<WindowedValue<T>> outputCoder = instantiateCoder(outputCollectionId, components);
TypeInformation<WindowedValue<T>> resultTypeInfo = new CoderTypeInformation<>(outputCoder);
DataStream<WindowedValue<T>> inputDataStream = context.getDataStreamOrThrow(inputCollectionId);
FlinkAssignWindows<T, ? extends BoundedWindow> assignWindowsFunction =
new FlinkAssignWindows<>(windowFn);
DataStream<WindowedValue<T>> resultDataStream =
inputDataStream
.flatMap(assignWindowsFunction)
.name(transform.getUniqueName())
.returns(resultTypeInfo);
context.addDataStream(outputCollectionId, resultDataStream);
}
private <InputT, OutputT> void translateExecutableStage(
String id, RunnerApi.Pipeline pipeline, StreamingTranslationContext context) {
// TODO: Fail on stateful DoFns for now.
// TODO: Support stateful DoFns by inserting group-by-keys where necessary.
// TODO: Fail on splittable DoFns.
// TODO: Special-case single outputs to avoid multiplexing PCollections.
RunnerApi.Components components = pipeline.getComponents();
RunnerApi.PTransform transform = components.getTransformsOrThrow(id);
Map<String, String> outputs = transform.getOutputsMap();
final RunnerApi.ExecutableStagePayload stagePayload;
try {
stagePayload = RunnerApi.ExecutableStagePayload.parseFrom(transform.getSpec().getPayload());
} catch (IOException e) {
throw new RuntimeException(e);
}
String inputPCollectionId = stagePayload.getInput();
final TransformedSideInputs transformedSideInputs;
if (stagePayload.getSideInputsCount() > 0) {
transformedSideInputs = transformSideInputs(stagePayload, components, context);
} else {
transformedSideInputs = new TransformedSideInputs(Collections.emptyMap(), null);
}
Map<TupleTag<?>, OutputTag<WindowedValue<?>>> tagsToOutputTags = Maps.newLinkedHashMap();
Map<TupleTag<?>, Coder<WindowedValue<?>>> tagsToCoders = Maps.newLinkedHashMap();
// TODO: does it matter which output we designate as "main"
final TupleTag<OutputT> mainOutputTag =
outputs.isEmpty() ? null : new TupleTag(outputs.keySet().iterator().next());
// associate output tags with ids, output manager uses these Integer ids to serialize state
BiMap<String, Integer> outputIndexMap =
FlinkPipelineTranslatorUtils.createOutputMap(outputs.keySet());
Map<String, Coder<WindowedValue<?>>> outputCoders = Maps.newHashMap();
Map<TupleTag<?>, Integer> tagsToIds = Maps.newHashMap();
Map<String, TupleTag<?>> collectionIdToTupleTag = Maps.newHashMap();
// order output names for deterministic mapping
for (String localOutputName : new TreeMap<>(outputIndexMap).keySet()) {
String collectionId = outputs.get(localOutputName);
Coder<WindowedValue<?>> windowCoder = (Coder) instantiateCoder(collectionId, components);
outputCoders.put(localOutputName, windowCoder);
TupleTag<?> tupleTag = new TupleTag<>(localOutputName);
CoderTypeInformation<WindowedValue<?>> typeInformation =
new CoderTypeInformation(windowCoder);
tagsToOutputTags.put(tupleTag, new OutputTag<>(localOutputName, typeInformation));
tagsToCoders.put(tupleTag, windowCoder);
tagsToIds.put(tupleTag, outputIndexMap.get(localOutputName));
collectionIdToTupleTag.put(collectionId, tupleTag);
}
final SingleOutputStreamOperator<WindowedValue<OutputT>> outputStream;
DataStream<WindowedValue<InputT>> inputDataStream =
context.getDataStreamOrThrow(inputPCollectionId);
CoderTypeInformation<WindowedValue<OutputT>> outputTypeInformation =
(!outputs.isEmpty())
? new CoderTypeInformation(outputCoders.get(mainOutputTag.getId()))
: null;
ArrayList<TupleTag<?>> additionalOutputTags = Lists.newArrayList();
for (TupleTag<?> tupleTag : tagsToCoders.keySet()) {
if (!mainOutputTag.getId().equals(tupleTag.getId())) {
additionalOutputTags.add(tupleTag);
}
}
DoFnOperator.MultiOutputOutputManagerFactory<OutputT> outputManagerFactory =
new DoFnOperator.MultiOutputOutputManagerFactory<>(
mainOutputTag, tagsToOutputTags, tagsToCoders, tagsToIds);
DoFnOperator<InputT, OutputT> doFnOperator =
new ExecutableStageDoFnOperator<>(
transform.getUniqueName(),
null,
null,
Collections.emptyMap(),
mainOutputTag,
additionalOutputTags,
outputManagerFactory,
transformedSideInputs.unionTagToView,
new ArrayList<>(transformedSideInputs.unionTagToView.values()),
getSideInputIdToPCollectionViewMap(stagePayload, components),
context.getPipelineOptions(),
stagePayload,
context.getJobInfo(),
FlinkExecutableStageContext.factory(context.getPipelineOptions()),
collectionIdToTupleTag);
if (transformedSideInputs.unionTagToView.isEmpty()) {
outputStream =
inputDataStream.transform(transform.getUniqueName(), outputTypeInformation, doFnOperator);
} else {
outputStream =
inputDataStream
.connect(transformedSideInputs.unionedSideInputs.broadcast())
.transform(transform.getUniqueName(), outputTypeInformation, doFnOperator);
}
if (mainOutputTag != null) {
context.addDataStream(outputs.get(mainOutputTag.getId()), outputStream);
}
for (TupleTag<?> tupleTag : additionalOutputTags) {
context.addDataStream(
outputs.get(tupleTag.getId()),
outputStream.getSideOutput(tagsToOutputTags.get(tupleTag)));
}
}
private static LinkedHashMap<RunnerApi.ExecutableStagePayload.SideInputId, PCollectionView<?>>
getSideInputIdToPCollectionViewMap(
RunnerApi.ExecutableStagePayload stagePayload, RunnerApi.Components components) {
RehydratedComponents rehydratedComponents = RehydratedComponents.forComponents(components);
LinkedHashMap<RunnerApi.ExecutableStagePayload.SideInputId, PCollectionView<?>> sideInputs =
new LinkedHashMap<>();
// for PCollectionView compatibility, not used to transform materialization
ViewFn<Iterable<WindowedValue<?>>, ?> viewFn =
(ViewFn) new PCollectionViews.MultimapViewFn<Iterable<WindowedValue<Void>>, Void>();
for (RunnerApi.ExecutableStagePayload.SideInputId sideInputId :
stagePayload.getSideInputsList()) {
// TODO: local name is unique as long as only one transform with side input can be within a stage
String sideInputTag = sideInputId.getLocalName();
String collectionId =
components
.getTransformsOrThrow(sideInputId.getTransformId())
.getInputsOrThrow(sideInputId.getLocalName());
RunnerApi.WindowingStrategy windowingStrategyProto =
components.getWindowingStrategiesOrThrow(
components.getPcollectionsOrThrow(collectionId).getWindowingStrategyId());
final WindowingStrategy<?, ?> windowingStrategy;
try {
windowingStrategy =
WindowingStrategyTranslation.fromProto(windowingStrategyProto, rehydratedComponents);
} catch (InvalidProtocolBufferException e) {
throw new IllegalStateException(
String.format(
"Unable to hydrate side input windowing strategy %s.", windowingStrategyProto),
e);
}
Coder<WindowedValue<Object>> coder = instantiateCoder(collectionId, components);
// side input materialization via GBK (T -> Iterable<T>)
WindowedValueCoder wvCoder = (WindowedValueCoder) coder;
coder = wvCoder.withValueCoder(IterableCoder.of(wvCoder.getValueCoder()));
sideInputs.put(
sideInputId,
new RunnerPCollectionView<>(
null,
new TupleTag<>(sideInputTag),
viewFn,
// TODO: support custom mapping fn
windowingStrategy.getWindowFn().getDefaultWindowMappingFn(),
windowingStrategy,
coder));
}
return sideInputs;
}
private TransformedSideInputs transformSideInputs(
RunnerApi.ExecutableStagePayload stagePayload,
RunnerApi.Components components,
StreamingTranslationContext context) {
LinkedHashMap<RunnerApi.ExecutableStagePayload.SideInputId, PCollectionView<?>> sideInputs =
getSideInputIdToPCollectionViewMap(stagePayload, components);
Map<TupleTag<?>, Integer> tagToIntMapping = new HashMap<>();
Map<Integer, PCollectionView<?>> intToViewMapping = new HashMap<>();
List<WindowedValueCoder<KV<Void, Object>>> kvCoders = new ArrayList<>();
List<Coder<?>> viewCoders = new ArrayList<>();
int count = 0;
for (Map.Entry<RunnerApi.ExecutableStagePayload.SideInputId, PCollectionView<?>> sideInput :
sideInputs.entrySet()) {
TupleTag<?> tag = sideInput.getValue().getTagInternal();
intToViewMapping.put(count, sideInput.getValue());
tagToIntMapping.put(tag, count);
count++;
String collectionId =
components
.getTransformsOrThrow(sideInput.getKey().getTransformId())
.getInputsOrThrow(sideInput.getKey().getLocalName());
DataStream<Object> sideInputStream = context.getDataStreamOrThrow(collectionId);
TypeInformation<Object> tpe = sideInputStream.getType();
if (!(tpe instanceof CoderTypeInformation)) {
throw new IllegalStateException("Input Stream TypeInformation is no CoderTypeInformation.");
}
WindowedValueCoder<Object> coder =
(WindowedValueCoder) ((CoderTypeInformation) tpe).getCoder();
Coder<KV<Void, Object>> kvCoder = KvCoder.of(VoidCoder.of(), coder.getValueCoder());
kvCoders.add(coder.withValueCoder(kvCoder));
// coder for materialized view matching GBK below
WindowedValueCoder<KV<Void, Iterable<Object>>> viewCoder =
coder.withValueCoder(KvCoder.of(VoidCoder.of(), IterableCoder.of(coder.getValueCoder())));
viewCoders.add(viewCoder);
}
// second pass, now that we gathered the input coders
UnionCoder unionCoder = UnionCoder.of(viewCoders);
CoderTypeInformation<RawUnionValue> unionTypeInformation =
new CoderTypeInformation<>(unionCoder);
// transform each side input to RawUnionValue and union them
DataStream<RawUnionValue> sideInputUnion = null;
for (Map.Entry<RunnerApi.ExecutableStagePayload.SideInputId, PCollectionView<?>> sideInput :
sideInputs.entrySet()) {
TupleTag<?> tag = sideInput.getValue().getTagInternal();
final int intTag = tagToIntMapping.get(tag);
String collectionId =
components
.getTransformsOrThrow(sideInput.getKey().getTransformId())
.getInputsOrThrow(sideInput.getKey().getLocalName());
DataStream<WindowedValue<?>> sideInputStream = context.getDataStreamOrThrow(collectionId);
// insert GBK to materialize side input view
String viewName =
sideInput.getKey().getTransformId() + "-" + sideInput.getKey().getLocalName();
WindowedValueCoder<KV<Void, Object>> kvCoder = kvCoders.get(intTag);
DataStream<WindowedValue<KV<Void, Object>>> keyedSideInputStream =
sideInputStream.map(new ToVoidKeyValue());
SingleOutputStreamOperator<WindowedValue<KV<Void, Iterable<Object>>>> viewStream =
addGBK(
keyedSideInputStream,
sideInput.getValue().getWindowingStrategyInternal(),
kvCoder,
viewName,
context);
DataStream<RawUnionValue> unionValueStream =
viewStream
.map(new FlinkStreamingTransformTranslators.ToRawUnion<>(intTag))
.returns(unionTypeInformation);
if (sideInputUnion == null) {
sideInputUnion = unionValueStream;
} else {
sideInputUnion = sideInputUnion.union(unionValueStream);
}
}
return new TransformedSideInputs(intToViewMapping, sideInputUnion);
}
private static class TransformedSideInputs {
final Map<Integer, PCollectionView<?>> unionTagToView;
final DataStream<RawUnionValue> unionedSideInputs;
TransformedSideInputs(
Map<Integer, PCollectionView<?>> unionTagToView,
DataStream<RawUnionValue> unionedSideInputs) {
this.unionTagToView = unionTagToView;
this.unionedSideInputs = unionedSideInputs;
}
}
private static class ToVoidKeyValue<T>
implements MapFunction<WindowedValue<T>, WindowedValue<KV<Void, T>>> {
@Override
public WindowedValue<KV<Void, T>> map(WindowedValue<T> value) {
return value.withValue(KV.of(null, value.getValue()));
}
}
static <T> Coder<WindowedValue<T>> instantiateCoder(
String collectionId, RunnerApi.Components components) {
PipelineNode.PCollectionNode collectionNode =
PipelineNode.pCollection(collectionId, components.getPcollectionsOrThrow(collectionId));
try {
return WireCoders.instantiateRunnerWireCoder(collectionNode, components);
} catch (IOException e) {
throw new RuntimeException(e);
}
}
}