/*
* 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.flink.streaming.runtime.partitioner;
import java.util.Random;
import org.apache.flink.annotation.Internal;
import org.apache.flink.runtime.plugable.SerializationDelegate;
import org.apache.flink.streaming.runtime.streamrecord.StreamRecord;
/**
* Partitioner that distributes the data equally by selecting one output channel
* randomly.
*
* @param <T>
* Type of the Tuple
*/
@Internal
public class ShufflePartitioner<T> extends StreamPartitioner<T> {
private static final long serialVersionUID = 1L;
private Random random = new Random();
private int[] returnArray = new int[1];
@Override
public int[] selectChannels(SerializationDelegate<StreamRecord<T>> record,
int numberOfOutputChannels) {
returnArray[0] = random.nextInt(numberOfOutputChannels);
return returnArray;
}
@Override
public StreamPartitioner<T> copy() {
return new ShufflePartitioner<T>();
}
@Override
public String toString() {
return "SHUFFLE";
}
}