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SummaryBulkAggregation.java
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SummaryBulkAggregation.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.flink.graph.streaming;
import org.apache.flink.api.common.functions.FoldFunction;
import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.api.common.functions.ReduceFunction;
import org.apache.flink.api.common.functions.RichMapFunction;
import org.apache.flink.api.common.typeinfo.BasicTypeInfo;
import org.apache.flink.api.common.typeinfo.TypeInformation;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.api.java.typeutils.ResultTypeQueryable;
import org.apache.flink.api.java.typeutils.TupleTypeInfo;
import org.apache.flink.api.java.typeutils.TypeExtractor;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.graph.Edge;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.windowing.time.Time;
import java.io.Serializable;
import java.util.concurrent.TimeUnit;
/**
* Graph Aggregation on Parallel Time Window
*
* TODO add documentation
*
* @param <K> the edge stream's key type
* @param <EV> the edges stream's value type
* @param <S> the output type of the partial aggregation
* @param <T> the output type of the result
*/
public class SummaryBulkAggregation<K, EV, S extends Serializable, T> extends SummaryAggregation<K, EV, S, T> {
private static final long serialVersionUID = 1L;
protected long timeMillis;
public SummaryBulkAggregation(EdgesFold<K, EV, S> updateFun, ReduceFunction<S> combineFun, MapFunction<S, T> transformFun, S initialVal, long timeMillis, boolean transientState) {
super(updateFun, combineFun, transformFun, initialVal, transientState);
this.timeMillis = timeMillis;
}
public SummaryBulkAggregation(EdgesFold<K, EV, S> updateFun, ReduceFunction<S> combineFun, S initialVal, long timeMillis, boolean transientState) {
this(updateFun, combineFun, null, initialVal, timeMillis, transientState);
}
@SuppressWarnings("unchecked")
@Override
public DataStream<T> run(final DataStream<Edge<K, EV>> edgeStream) {
//For parallel window support we key the edge stream by partition and apply a parallel fold per partition.
//Finally, we merge all locally combined results into our final graph aggregation property.
TupleTypeInfo edgeTypeInfo = (TupleTypeInfo) edgeStream.getType();
TypeInformation<S> returnType = TypeExtractor.createTypeInfo(EdgesFold.class, getUpdateFun().getClass(), 2, edgeTypeInfo.getTypeAt(0), edgeTypeInfo.getTypeAt(2));
TypeInformation<Tuple2<Integer, Edge<K, EV>>> typeInfo = new TupleTypeInfo<>(BasicTypeInfo.INT_TYPE_INFO, edgeStream.getType());
DataStream<S> partialAgg = edgeStream
.map(new PartitionMapper<>()).returns(typeInfo)
.keyBy(0)
.timeWindow(Time.of(timeMillis, TimeUnit.MILLISECONDS))
.fold(getInitialValue(), new PartialAgg<>(getUpdateFun(),returnType))
.timeWindowAll(Time.of(timeMillis, TimeUnit.MILLISECONDS))
.reduce(getCombineFun())
.flatMap(getAggregator(edgeStream)).setParallelism(1);
if (getTransform() != null) {
return partialAgg.map(getTransform());
}
return (DataStream<T>) partialAgg;
}
@SuppressWarnings("serial")
protected static final class PartitionMapper<Y> extends RichMapFunction<Y, Tuple2<Integer, Y>> {
private int partitionIndex;
@Override
public void open(Configuration parameters) throws Exception {
this.partitionIndex = getRuntimeContext().getIndexOfThisSubtask();
}
@Override
public Tuple2<Integer, Y> map(Y state) throws Exception {
return new Tuple2<>(partitionIndex, state);
}
}
@SuppressWarnings("serial")
protected static final class PartialAgg<K, EV, S>
implements ResultTypeQueryable<S>, FoldFunction<Tuple2<Integer, Edge<K, EV>>, S> {
private EdgesFold<K, EV, S> foldFunction;
private TypeInformation<S> returnType;
public PartialAgg(EdgesFold<K, EV, S> foldFunction, TypeInformation<S> returnType) {
this.foldFunction = foldFunction;
this.returnType = returnType;
}
@Override
public S fold(S s, Tuple2<Integer, Edge<K, EV>> o) throws Exception {
return this.foldFunction.foldEdges(s, o.f1.getSource(), o.f1.getTarget(), o.f1.getValue());
}
@Override
public TypeInformation<S> getProducedType() {
return returnType;
}
}
}