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125 lines (88 loc) · 3.73 KB
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/**
*
*/
package org.myorg;
/**
* Cloud Assignment
* Implement Search Functionality
*
* AUTHOR Ajaykumar Prathap
* EMAIL aprathap@uncc.edu
*
*/
import java.io.IOException;
import java.util.HashMap;
import java.util.HashSet;
import java.util.regex.Pattern;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;
import org.apache.log4j.Logger;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.io.DoubleWritable;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
public class Search extends Configured implements Tool {
private static final Logger LOG = Logger .getLogger(Search.class);
public static void main( String[] args) throws Exception {
int res = ToolRunner .run( new Search(), args);
System .exit(res);
}
public int run( String[] args) throws Exception {
Configuration conf = new Configuration();
conf.set("query",args[2]);
Job job = Job .getInstance(conf, " Search ");
job.setJarByClass( this .getClass());
FileInputFormat.addInputPaths(job, args[0]);
FileOutputFormat.setOutputPath(job, new Path(args[1]));
job.setMapperClass( Map .class);
job.setReducerClass( Reduce .class);
job.setOutputKeyClass( Text .class);
job.setMapOutputValueClass(Text.class);
job.setOutputValueClass( DoubleWritable .class);
return job.waitForCompletion( true) ? 0 : 1;
}
public static class Map extends Mapper<LongWritable , Text , Text , Text > {
private final static DoubleWritable one = new DoubleWritable( 1);
private Text word = new Text();
private static final Pattern WORD_BOUNDARY = Pattern .compile("\\s*\\b\\s*");
public void map( LongWritable offset, Text lineText, Context context)
throws IOException, InterruptedException {
// int length = (int)context.getConfiguration().getLong("mapreduce.input.num.files",1);
String line = lineText.toString().toLowerCase();
Text currentWord = new Text();
String finalStr = "";
String[] parts = line.split("#####");
String[] parts1 = parts[1].split("\t");
String search = parts[0].replaceAll("\\s+","");
//Getting User Query from Config Object
Configuration config= context.getConfiguration();
String query = config.get("query");
String[] querylist = query.split(" ");
if((querylist[0].toLowerCase().equalsIgnoreCase(search.toLowerCase())) ||
querylist[1].toLowerCase().equalsIgnoreCase(search.toLowerCase())){
context.write(new Text(parts1[0]), new Text(parts1[1]));
}
currentWord = new Text(word);
}
}
public static class Reduce extends Reducer<Text , Text , Text , DoubleWritable > {
@Override
public void reduce( Text word, Iterable<Text > counts, Context context)
throws IOException, InterruptedException {
double sum = 0.0;
Configuration config= context.getConfiguration();
HashMap<String, String> map = new HashMap<String,String>();
for ( Text count : counts) {
sum = sum + Double.parseDouble(count.toString());
}
context.write(word, new DoubleWritable(sum));
}
}
}