/* * Copyright (c) 2008-2017, Hazelcast, Inc. All Rights Reserved. * * Licensed 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 com.hazelcast.mapreduce.aggregation.impl; import com.hazelcast.mapreduce.Collator; import com.hazelcast.mapreduce.Combiner; import com.hazelcast.mapreduce.CombinerFactory; import com.hazelcast.mapreduce.Mapper; import com.hazelcast.mapreduce.Reducer; import com.hazelcast.mapreduce.ReducerFactory; import com.hazelcast.mapreduce.aggregation.Supplier; import com.hazelcast.nio.serialization.BinaryInterface; import java.util.Map; /** * The predefined average aggregation for values of type integer. * * @param <Key> the input key type * @param <Value> the input value type */ public class IntegerAvgAggregation<Key, Value> implements AggType<Key, Value, Key, Integer, AvgTuple<Integer, Integer>, AvgTuple<Integer, Integer>, Integer> { @Override public Collator<Map.Entry<Key, AvgTuple<Integer, Integer>>, Integer> getCollator() { return new Collator<Map.Entry<Key, AvgTuple<Integer, Integer>>, Integer>() { @Override public Integer collate(Iterable<Map.Entry<Key, AvgTuple<Integer, Integer>>> values) { int count = 0; int amount = 0; for (Map.Entry<Key, AvgTuple<Integer, Integer>> entry : values) { AvgTuple<Integer, Integer> tuple = entry.getValue(); count += tuple.getFirst(); amount += tuple.getSecond(); } return (int) ((double) amount / count); } }; } @Override public Mapper<Key, Value, Key, Integer> getMapper(Supplier<Key, Value, Integer> supplier) { return new SupplierConsumingMapper<Key, Value, Integer>(supplier); } @Override public CombinerFactory<Key, Integer, AvgTuple<Integer, Integer>> getCombinerFactory() { return new IntegerAvgCombinerFactory<Key>(); } @Override public ReducerFactory<Key, AvgTuple<Integer, Integer>, AvgTuple<Integer, Integer>> getReducerFactory() { return new IntegerAvgReducerFactory<Key>(); } /** * Average CombinerFactory for type long * * @param <Key> the key type */ @BinaryInterface static final class IntegerAvgCombinerFactory<Key> extends AbstractAggregationCombinerFactory<Key, Integer, AvgTuple<Integer, Integer>> { @Override public Combiner<Integer, AvgTuple<Integer, Integer>> newCombiner(Key key) { return new IntegerAvgCombiner(); } @Override public int getId() { return AggregationsDataSerializerHook.INTEGER_AVG_COMBINER_FACTORY; } } /** * Average ReducerFactory for type integer * * @param <Key> the key type */ @BinaryInterface static final class IntegerAvgReducerFactory<Key> extends AbstractAggregationReducerFactory<Key, AvgTuple<Integer, Integer>, AvgTuple<Integer, Integer>> { @Override public Reducer<AvgTuple<Integer, Integer>, AvgTuple<Integer, Integer>> newReducer(Key key) { return new IntegerAvgReducer(); } @Override public int getId() { return AggregationsDataSerializerHook.INTEGER_AVG_REDUCER_FACTORY; } } /** * Average Combiner for type integer */ private static final class IntegerAvgCombiner extends Combiner<Integer, AvgTuple<Integer, Integer>> { private int count; private int amount; @Override public void combine(Integer value) { count++; amount += value; } @Override public AvgTuple<Integer, Integer> finalizeChunk() { int count = this.count; int amount = this.amount; this.count = 0; this.amount = 0; return new AvgTuple<Integer, Integer>(count, amount); } } /** * Average Reducer for type integer */ private static final class IntegerAvgReducer extends Reducer<AvgTuple<Integer, Integer>, AvgTuple<Integer, Integer>> { private int count; private int amount; @Override public void reduce(AvgTuple<Integer, Integer> value) { count += value.getFirst(); amount += value.getSecond(); } @Override public AvgTuple<Integer, Integer> finalizeReduce() { return new AvgTuple<Integer, Integer>(count, amount); } } }