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A collection of user-defined functions for working with large-scale data in Hadoop and Pig.
/*
* Copyright 2012 LinkedIn, Inc
*
* 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 datafu.pig.stats;
/**
* Computes the approximate {@link median}
* for a (not necessarily sorted) input bag, using the Munro-Paterson algorithm.
* This is a convenience wrapper around StreamingQuantile.
*
*
* N.B., all the data is pushed to a single reducer per key, so make sure some partitioning is
* done (e.g., group by 'day') if the data is too large. That is, this isn't distributed median.
*
*
* @see StreamingQuantile
*/
public class StreamingMedian extends StreamingQuantile
{
public StreamingMedian()
{
super("0.5");
}
}
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