/**
* 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.hadoop.hive.ql.exec.spark;
import org.apache.hadoop.hive.ql.io.HiveKey;
import org.apache.hadoop.io.BytesWritable;
import org.apache.spark.HashPartitioner;
import org.apache.spark.api.java.JavaPairRDD;
public class RepartitionShuffler implements SparkShuffler<BytesWritable> {
@Override
public JavaPairRDD<HiveKey, BytesWritable> shuffle(
JavaPairRDD<HiveKey, BytesWritable> input, int numPartitions) {
if (numPartitions < 0) {
numPartitions = 1;
}
return input.repartitionAndSortWithinPartitions(new HashPartitioner(numPartitions));
}
@Override
public String getName() {
return "GroupBy_Repartition";
}
}