/* * 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; } }