Java tutorial
/* * Copyright 2012-14 Justin A. Debrabant <debrabant@cs.brown.edu> and Matteo Riondato <matteo@cs.brown.edu> * * 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. * */ import java.io.IOException; import org.apache.hadoop.io.IntWritable; import org.apache.hadoop.io.LongWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapred.JobConf; import org.apache.hadoop.mapred.MapReduceBase; import org.apache.hadoop.mapred.Mapper; import org.apache.hadoop.mapred.OutputCollector; import org.apache.hadoop.mapred.Reporter; import cern.jet.random.Binomial; public class BinomialSamplerMapper extends MapReduceBase implements Mapper<LongWritable, Text, IntWritable, Text> { private int reducersNum; private int datasetSize; @Override public void configure(JobConf conf) { reducersNum = conf.getInt("PARMM.reducersNum", 64); datasetSize = conf.getInt("PARMM.datasetSize", 1000); } @Override public void map(LongWritable lineNum, Text value, OutputCollector<IntWritable, Text> output, Reporter reporter) throws IOException { for (int i = 0; i < reducersNum; i++) { int sampledTimes = Binomial.staticNextInt(datasetSize / reducersNum, 1.0 / datasetSize); /** * XXX I assume there is a better way of doing * this, by only having one "message" sent to * reducer i, for example by making "value" an * object containing the fields "sampleTimes" * and "value". MR */ for (int j = 0; j < sampledTimes; j++) { output.collect(new IntWritable(i), value); } } } }