/*
* Copyright (C) 2015 SoftIndex LLC.
*
* 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 io.datakernel.datagraph.dataset.impl;
import com.google.common.base.Function;
import io.datakernel.datagraph.dataset.LocallySortedDataset;
import io.datakernel.datagraph.graph.DataGraph;
import io.datakernel.datagraph.graph.StreamId;
import io.datakernel.datagraph.node.NodeReduceSimple;
import io.datakernel.stream.processor.StreamReducers;
import java.util.ArrayList;
import java.util.List;
public final class DatasetLocalSortReduce<K, I, O> extends LocallySortedDataset<K, O> {
private final LocallySortedDataset<K, I> input;
private final StreamReducers.Reducer<K, I, O, ?> reducer;
public DatasetLocalSortReduce(LocallySortedDataset<K, I> input, StreamReducers.Reducer<K, I, O, ?> reducer,
Class<O> resultType, Function<O, K> resultKeyFunction) {
super(resultType, input.keyComparator(), input.keyType(), resultKeyFunction);
this.input = input;
this.reducer = reducer;
}
@SuppressWarnings("unchecked")
@Override
public List<StreamId> channels(DataGraph graph) {
List<StreamId> outputStreamIds = new ArrayList<>();
for (StreamId streamId : input.channels(graph)) {
NodeReduceSimple<K, I, O, Object> node = new NodeReduceSimple<>(input.keyFunction(),
input.keyComparator(), (StreamReducers.Reducer<K, I, O, Object>) reducer);
node.addInput(streamId);
graph.addNode(graph.getPartition(streamId), node);
outputStreamIds.add(node.getOutput());
}
return outputStreamIds;
}
}