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Splout is a read only, horizontally scalable SQL database that plays well with Hadoop.

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package com.splout.db.hadoop;

/*
 * #%L
 * Splout SQL Hadoop library
 * %%
 * Copyright (C) 2012 Datasalt Systems S.L.
 * %%
 * 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.
 * #L%
 */

import java.io.IOException;

import org.apache.hadoop.io.NullWritable;

import com.datasalt.pangool.io.ITuple;
import com.datasalt.pangool.tuplemr.TupleMRException;
import com.datasalt.pangool.tuplemr.TupleReducer;

/**
 * Reusable TupleReducer that aggregates the counts of a certain field in the Tuple.
 * 

* There are nicer implementations of this in the work-in-progress Pangool-flow project of Pangool but I decided not to * depend on it until it has a first stable version. */ @SuppressWarnings("serial") public class SumReducer extends TupleReducer { String field; /** * Will (int) sum the field "field" */ public SumReducer(String field) { this.field = field; } public void reduce(ITuple group, Iterable tuples, TupleMRContext context, Collector collector) throws IOException, InterruptedException, TupleMRException { int totalCount = 0; ITuple outTuple = null; for(ITuple tuple : tuples) { totalCount += (Integer) tuple.get(field); outTuple = tuple; } outTuple.set(field, totalCount); collector.write(outTuple, NullWritable.get()); } }





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