package org.apache.hadoop.examples; | |
/** | |
* 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. | |
*/ | |
import java.io.BufferedReader; | |
import java.io.IOException; | |
import java.io.InputStreamReader; | |
import java.util.StringTokenizer; | |
import org.apache.hadoop.conf.Configuration; | |
import org.apache.hadoop.conf.Configured; | |
import org.apache.hadoop.fs.FileSystem; | |
import org.apache.hadoop.fs.Path; | |
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.Tool; | |
import org.apache.hadoop.util.ToolRunner; | |
public class WordMean extends Configured implements Tool { | |
private double mean = 0; | |
private final static Text COUNT = new Text("count"); | |
private final static Text LENGTH = new Text("length"); | |
private final static LongWritable ONE = new LongWritable(1); | |
/** | |
* Maps words from line of text into 2 key-value pairs; one key-value pair for | |
* counting the word, another for counting its length. | |
*/ | |
public static class WordMeanMapper extends | |
Mapper<Object, Text, Text, LongWritable> { | |
private LongWritable wordLen = new LongWritable(); | |
/** | |
* Emits 2 key-value pairs for counting the word and its length. Outputs are | |
* (Text, LongWritable). | |
* | |
* @param value | |
* This will be a line of text coming in from our input file. | |
*/ | |
public void map(Object key, Text value, Context context) | |
throws IOException, InterruptedException { | |
StringTokenizer itr = new StringTokenizer(value.toString()); | |
while (itr.hasMoreTokens()) { | |
String string = itr.nextToken(); | |
this.wordLen.set(string.length()); | |
context.write(LENGTH, this.wordLen); | |
context.write(COUNT, ONE); | |
} | |
} | |
} | |
/** | |
* Performs integer summation of all the values for each key. | |
*/ | |
public static class WordMeanReducer extends | |
Reducer<Text, LongWritable, Text, LongWritable> { | |
private LongWritable sum = new LongWritable(); | |
/** | |
* Sums all the individual values within the iterator and writes them to the | |
* same key. | |
* | |
* @param key | |
* This will be one of 2 constants: LENGTH_STR or COUNT_STR. | |
* @param values | |
* This will be an iterator of all the values associated with that | |
* key. | |
*/ | |
public void reduce(Text key, Iterable<LongWritable> values, Context context) | |
throws IOException, InterruptedException { | |
int theSum = 0; | |
for (LongWritable val : values) { | |
theSum += val.get(); | |
} | |
sum.set(theSum); | |
context.write(key, sum); | |
} | |
} | |
/** | |
* Reads the output file and parses the summation of lengths, and the word | |
* count, to perform a quick calculation of the mean. | |
* | |
* @param path | |
* The path to find the output file in. Set in main to the output | |
* directory. | |
* @throws IOException | |
* If it cannot access the output directory, we throw an exception. | |
*/ | |
private double readAndCalcMean(Path path, Configuration conf) | |
throws IOException { | |
FileSystem fs = FileSystem.get(conf); | |
Path file = new Path(path, "part-r-00000"); | |
if (!fs.exists(file)) | |
throw new IOException("Output not found!"); | |
BufferedReader br = null; | |
// average = total sum / number of elements; | |
try { | |
br = new BufferedReader(new InputStreamReader(fs.open(file))); | |
long count = 0; | |
long length = 0; | |
String line; | |
while ((line = br.readLine()) != null) { | |
StringTokenizer st = new StringTokenizer(line); | |
// grab type | |
String type = st.nextToken(); | |
// differentiate | |
if (type.equals(COUNT.toString())) { | |
String countLit = st.nextToken(); | |
count = Long.parseLong(countLit); | |
} else if (type.equals(LENGTH.toString())) { | |
String lengthLit = st.nextToken(); | |
length = Long.parseLong(lengthLit); | |
} | |
} | |
double theMean = (((double) length) / ((double) count)); | |
System.out.println("The mean is: " + theMean); | |
return theMean; | |
} finally { | |
br.close(); | |
} | |
} | |
public static void main(String[] args) throws Exception { | |
ToolRunner.run(new Configuration(), new WordMean(), args); | |
} | |
@Override | |
public int run(String[] args) throws Exception { | |
if (args.length != 2) { | |
System.err.println("Usage: wordmean <in> <out>"); | |
return 0; | |
} | |
Configuration conf = getConf(); | |
@SuppressWarnings("deprecation") | |
Job job = new Job(conf, "word mean"); | |
job.setJarByClass(WordMean.class); | |
job.setMapperClass(WordMeanMapper.class); | |
job.setCombinerClass(WordMeanReducer.class); | |
job.setReducerClass(WordMeanReducer.class); | |
job.setOutputKeyClass(Text.class); | |
job.setOutputValueClass(LongWritable.class); | |
FileInputFormat.addInputPath(job, new Path(args[0])); | |
Path outputpath = new Path(args[1]); | |
FileOutputFormat.setOutputPath(job, outputpath); | |
boolean result = job.waitForCompletion(true); | |
mean = readAndCalcMean(outputpath, conf); | |
return (result ? 0 : 1); | |
} | |
/** | |
* Only valuable after run() called. | |
* | |
* @return Returns the mean value. | |
*/ | |
public double getMean() { | |
return mean; | |
} | |
} |