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Top Wikipedia Titles Stats using Hadoop
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import org.apache.commons.logging.Log; | |
import org.apache.commons.logging.LogFactory; | |
import org.apache.hadoop.conf.Configuration; | |
import org.apache.hadoop.conf.Configured; | |
import org.apache.hadoop.fs.FSDataInputStream; | |
import org.apache.hadoop.fs.FileSystem; | |
import org.apache.hadoop.fs.Path; | |
import org.apache.hadoop.io.ArrayWritable; | |
import org.apache.hadoop.io.IntWritable; | |
import org.apache.hadoop.io.NullWritable; | |
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.input.KeyValueTextInputFormat; | |
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; | |
import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat; | |
import org.apache.hadoop.util.Tool; | |
import org.apache.hadoop.util.ToolRunner; | |
import java.io.BufferedReader; | |
import java.io.IOException; | |
import java.io.InputStreamReader; | |
import java.lang.Integer; | |
import java.util.Arrays; | |
import java.util.List; | |
import java.util.StringTokenizer; | |
import java.util.TreeSet; | |
public class TopTitleStatistics extends Configured implements Tool { | |
public static void main(String[] args) throws Exception { | |
int res = ToolRunner.run(new Configuration(), new TopTitleStatistics(), args); | |
System.exit(res); | |
} | |
@Override | |
public int run(String[] args) throws Exception { | |
Configuration conf = this.getConf(); | |
FileSystem fs = FileSystem.get(conf); | |
Path tmpPath = new Path("/mp2/tmp"); | |
fs.delete(tmpPath, true); | |
Job jobA = Job.getInstance(conf, "Title Count"); | |
jobA.setOutputKeyClass(Text.class); | |
jobA.setOutputValueClass(IntWritable.class); | |
jobA.setMapperClass(TitleCountMap.class); | |
jobA.setReducerClass(TitleCountReduce.class); | |
FileInputFormat.setInputPaths(jobA, new Path(args[0])); | |
FileOutputFormat.setOutputPath(jobA, tmpPath); | |
jobA.setJarByClass(TopTitleStatistics.class); | |
jobA.waitForCompletion(true); | |
Job jobB = Job.getInstance(conf, "Top Titles Statistics"); | |
jobB.setOutputKeyClass(Text.class); | |
jobB.setOutputValueClass(IntWritable.class); | |
jobB.setMapOutputKeyClass(NullWritable.class); | |
jobB.setMapOutputValueClass(TextArrayWritable.class); | |
jobB.setMapperClass(TopTitlesStatMap.class); | |
jobB.setReducerClass(TopTitlesStatReduce.class); | |
jobB.setNumReduceTasks(1); | |
FileInputFormat.setInputPaths(jobB, tmpPath); | |
FileOutputFormat.setOutputPath(jobB, new Path(args[1])); | |
jobB.setInputFormatClass(KeyValueTextInputFormat.class); | |
jobB.setOutputFormatClass(TextOutputFormat.class); | |
jobB.setJarByClass(TopTitleStatistics.class); | |
return jobB.waitForCompletion(true) ? 0 : 1; | |
} | |
public static String readHDFSFile(String path, Configuration conf) throws IOException { | |
Path pt=new Path(path); | |
FileSystem fs = FileSystem.get(pt.toUri(), conf); | |
FSDataInputStream file = fs.open(pt); | |
BufferedReader buffIn=new BufferedReader(new InputStreamReader(file)); | |
StringBuilder everything = new StringBuilder(); | |
String line; | |
while( (line = buffIn.readLine()) != null) { | |
everything.append(line); | |
everything.append("\n"); | |
} | |
return everything.toString(); | |
} | |
public static class TextArrayWritable extends ArrayWritable { | |
public TextArrayWritable() { | |
super(Text.class); | |
} | |
public TextArrayWritable(String[] strings) { | |
super(Text.class); | |
Text[] texts = new Text[strings.length]; | |
for (int i = 0; i < strings.length; i++) { | |
texts[i] = new Text(strings[i]); | |
} | |
set(texts); | |
} | |
} | |
public static class TitleCountMap extends Mapper<Object, Text, Text, IntWritable> { | |
List<String> stopWords; | |
String delimiters; | |
@Override | |
protected void setup(Context context) throws IOException,InterruptedException { | |
Configuration conf = context.getConfiguration(); | |
String stopWordsPath = conf.get("stopwords"); | |
String delimitersPath = conf.get("delimiters"); | |
this.stopWords = Arrays.asList(readHDFSFile(stopWordsPath, conf).split("\n")); | |
this.delimiters = readHDFSFile(delimitersPath, conf); | |
} | |
@Override | |
public void map(Object key, Text value, Context context) throws IOException, InterruptedException { | |
String line = value.toString(); | |
StringTokenizer tokenizer = new StringTokenizer(line, delimiters); | |
while (tokenizer.hasMoreTokens()) { | |
String word = tokenizer.nextToken().trim().toLowerCase(); | |
if (!stopWords.contains(word)) { | |
context.write(new Text(word), new IntWritable(1)); | |
} | |
} | |
} | |
} | |
public static class TitleCountReduce extends Reducer<Text, IntWritable, Text, IntWritable> { | |
@Override | |
public void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException { | |
int sum = 0; | |
for (IntWritable value : values) { | |
sum += value.get(); | |
} | |
context.write(key, new IntWritable(sum)); | |
} | |
} | |
public static class TopTitlesStatMap extends Mapper<Text, Text, NullWritable, TextArrayWritable> { | |
Integer N; | |
TreeSet<Pair<Integer, String>> countToTitleMap = new TreeSet<Pair<Integer, String>>(); | |
@Override | |
protected void setup(Context context) throws IOException,InterruptedException { | |
Configuration conf = context.getConfiguration(); | |
this.N = conf.getInt("N", 10); | |
} | |
@Override | |
public void map(Text key, Text value, Context context) throws IOException, InterruptedException { | |
Integer count = Integer.parseInt(value.toString()); | |
String title = key.toString(); | |
countToTitleMap.add(new Pair<Integer, String>(count, title)); | |
if (countToTitleMap.size() > N) { | |
countToTitleMap.remove(countToTitleMap.first()); | |
} | |
} | |
@Override | |
protected void cleanup(Context context) throws IOException, InterruptedException { | |
for (Pair<Integer, String> item : countToTitleMap) { | |
String[] strings = {item.second, item.first.toString()}; | |
TextArrayWritable value = new TextArrayWritable(strings); | |
context.write(NullWritable.get(), value); | |
} | |
} | |
} | |
public static class TopTitlesStatReduce extends Reducer<NullWritable, TextArrayWritable, Text, IntWritable> { | |
Integer N; | |
TreeSet<Pair<Integer, String>> countToTitleMap = new TreeSet<Pair<Integer, String>>(); | |
@Override | |
protected void setup(Context context) throws IOException,InterruptedException { | |
Configuration conf = context.getConfiguration(); | |
this.N = conf.getInt("N", 10); | |
} | |
@Override | |
public void reduce(NullWritable key, Iterable<TextArrayWritable> values, Context context) throws IOException, InterruptedException { | |
Integer sum = new Integer(0), max = Integer.valueOf(Integer.MIN_VALUE), min = Integer.valueOf(Integer.MAX_VALUE), mean, var; | |
for (TextArrayWritable value : values) { | |
Text[] pair = (Text[]) value.toArray(); | |
String word = pair[0].toString(); | |
Integer count = Integer.parseInt(pair[1].toString()); | |
countToTitleMap.add(new Pair<Integer, String>(count, word)); | |
if (countToTitleMap.size() > N) { | |
countToTitleMap.remove(countToTitleMap.first()); | |
} | |
} | |
for (Pair<Integer, String> item : countToTitleMap) { | |
Integer count = Integer.parseInt(item.first.toString()); | |
sum = Integer.valueOf(sum.intValue() + count.intValue()); | |
if (max.intValue() < count.intValue()) { | |
max = count; | |
} | |
if (min.intValue() > count.intValue()) { | |
min = count; | |
} | |
} | |
mean = new Integer(sum.intValue() / countToTitleMap.size()); | |
int sumOfSquares = 0; | |
for (Pair<Integer, String> item : countToTitleMap) { | |
Integer count = Integer.parseInt(item.first.toString()); | |
sumOfSquares += Math.pow(count.intValue() - mean.intValue(), 2); | |
} | |
var = Integer.valueOf(sumOfSquares / countToTitleMap.size()); | |
context.write(new Text("Mean"), new IntWritable(mean)); | |
context.write(new Text("Sum"), new IntWritable(sum)); | |
context.write(new Text("Min"), new IntWritable(min)); | |
context.write(new Text("Max"), new IntWritable(max)); | |
context.write(new Text("Var"), new IntWritable(var)); | |
} | |
} | |
} | |
// >>> Don't Change | |
class Pair<A extends Comparable<? super A>, B extends Comparable<? super B>> implements Comparable<Pair<A, B>> { | |
public final A first; | |
public final B second; | |
public Pair(A first, B second) { | |
this.first = first; | |
this.second = second; | |
} | |
public static <A extends Comparable<? super A>, | |
B extends Comparable<? super B>> | |
Pair<A, B> of(A first, B second) { | |
return new Pair<A, B>(first, second); | |
} | |
@Override | |
public int compareTo(Pair<A, B> o) { | |
int cmp = o == null ? 1 : (this.first).compareTo(o.first); | |
return cmp == 0 ? (this.second).compareTo(o.second) : cmp; | |
} | |
@Override | |
public int hashCode() { | |
return 31 * hashcode(first) + hashcode(second); | |
} | |
private static int hashcode(Object o) { | |
return o == null ? 0 : o.hashCode(); | |
} | |
@Override | |
public boolean equals(Object obj) { | |
if (!(obj instanceof Pair)) | |
return false; | |
if (this == obj) | |
return true; | |
return equal(first, ((Pair<?, ?>) obj).first) | |
&& equal(second, ((Pair<?, ?>) obj).second); | |
} | |
private boolean equal(Object o1, Object o2) { | |
return o1 == o2 || (o1 != null && o1.equals(o2)); | |
} | |
@Override | |
public String toString() { | |
return "(" + first + ", " + second + ')'; | |
} | |
} |
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