/*
* 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 io.datakernel.datagraph.dataset.LocallySortedDataset;
import io.datakernel.datagraph.dataset.SortedDataset;
import io.datakernel.datagraph.graph.DataGraph;
import io.datakernel.datagraph.graph.Partition;
import io.datakernel.datagraph.graph.StreamId;
import java.util.List;
import static io.datakernel.datagraph.dataset.impl.DatasetUtils.repartitionAndSort;
public final class DatasetRepartitionAndSort<K, T> extends SortedDataset<K, T> {
private final LocallySortedDataset<K, T> input;
private final List<Partition> partitions;
public DatasetRepartitionAndSort(LocallySortedDataset<K, T> input) {
this(input, null);
}
public DatasetRepartitionAndSort(LocallySortedDataset<K, T> input, List<Partition> partitions) {
super(input.valueType(), input.keyComparator(), input.keyType(), input.keyFunction());
this.input = input;
this.partitions = partitions;
}
@Override
public List<StreamId> channels(DataGraph graph) {
return repartitionAndSort(graph, input,
partitions == null || partitions.isEmpty() ? graph.getAvailablePartitions() : partitions);
}
}