Java tutorial
/* * Copyright 2010 redbeard. * * 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. * under the License. */ import java.io.IOException; import java.util.*; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.DoubleWritable; import org.apache.hadoop.io.LongWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapreduce.Job; import org.apache.hadoop.mapreduce.Mapper; import org.apache.hadoop.mapreduce.Reducer; import org.apache.hadoop.mapreduce.lib.input.FileInputFormat; import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; import org.apache.hadoop.util.GenericOptionsParser; /** * * @author redbeard */ public class CalculateHistogram { public static class HistogramMap extends Mapper<LongWritable, Text, LongWritable, Text> { private static final int R = 100; private int n = 0; @Override public void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException { if (n == 0) { n++; StringTokenizer tokens = new StringTokenizer(value.toString(), ","); int counter = 0; tokens.nextToken(); while (tokens.hasMoreTokens()) { String token = tokens.nextToken(); context.write(new LongWritable(counter), new Text(token)); counter++; } } else { n++; if (n == R) { n = 0; } } } } public static class HistogramReduce extends Reducer<LongWritable, Text, LongWritable, HistogramBucket> { private final static int R = 10; @Override public void reduce(LongWritable key, Iterable<Text> values, Context context) throws IOException, InterruptedException { Iterator<Text> vals = values.iterator(); boolean cont = true; Text t = vals.next(); for (char c : t.toString().toCharArray()) { if (!Character.isDigit(c) && c != '.' && c != '?') { cont = false; } } if (cont) { context.setStatus("Building Histogram"); HistogramBucket i = new HistogramBucket(key); i.add(new DoubleWritable(Double.parseDouble(t.toString()))); while (vals.hasNext()) { for (int j = 0; j < R; j++) { if (vals.hasNext()) { t = vals.next(); } } if (!i.contains(Double.parseDouble(t.toString()))) { context.setStatus("Writing a value to the Histogram"); i.add(new DoubleWritable(Double.parseDouble(t.toString()))); } } context.write(key, i); } } } public static void main(String[] args) throws Exception { Configuration conf = new Configuration(); String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs(); if (otherArgs.length != 2) { System.err.println("Usage: wordcount <in> <out>"); System.exit(2); } Job job = new Job(conf, "MRDT - Generate Histogram"); job.setJarByClass(CalculateHistogram.class); job.setMapperClass(HistogramMap.class); job.setReducerClass(HistogramReduce.class); //job.setOutputValueClass(HistogramBucket.class); //job.setMapOutputKeyClass(LongWritable.class); //job.setMapOutputValueClass(Text.class); FileInputFormat.addInputPath(job, new Path(otherArgs[0])); FileOutputFormat.setOutputPath(job, new Path(otherArgs[1])); System.exit(job.waitForCompletion(true) ? 0 : 1); } }