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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.storm.streams.processors;
import java.util.HashMap;
import java.util.Map;
import org.apache.storm.streams.Pair;
import org.apache.storm.streams.operations.Reducer;
public class ReduceByKeyProcessor<K, V> extends BaseProcessor<Pair<K, V>> implements BatchProcessor {
private final Reducer<V> reducer;
private final Map<K, V> state = new HashMap<>();
public ReduceByKeyProcessor(Reducer<V> reducer) {
this.reducer = reducer;
}
@Override
public void execute(Pair<K, V> input) {
K key = input.getFirst();
V val = input.getSecond();
V agg = state.get(key);
final V res = (agg == null) ? val : reducer.apply(agg, val);
state.put(key, res);
mayBeForwardAggUpdate(() -> Pair.of(key, res));
}
@Override
public void finish() {
for (Map.Entry<K, V> entry : state.entrySet()) {
context.forward(Pair.of(entry.getKey(), entry.getValue()));
}
state.clear();
}
}