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Posted to common-user@hadoop.apache.org by Ravi <ra...@gmail.com> on 2010/01/02 17:44:30 UTC

Re: I am not able to run this program in distributed mode but I am able to run it in pseudo distributed mode

Someone please go through the code and fix the bug. Thanks in advance.

On Sat, Jan 2, 2010 at 10:05 PM, Ravi <ra...@gmail.com>wrote:

> import java.lang.Integer;
> import java.util.TreeMap;
> import java.io.IOException;
> import java.util.Date;
> import java.util.Iterator;
> import java.lang.StringBuilder;
> import java.util.StringTokenizer;
> import java.util.Random;
> import java.lang.String;
> import java.util.TreeSet;
> import java.util.HashMap;
> import java.util.Arrays;
> import org.apache.hadoop.conf.Configuration;
> import org.apache.hadoop.conf.Configured;
> 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.mapred.FileInputFormat;
> import org.apache.hadoop.mapred.FileOutputFormat;
> import org.apache.hadoop.mapred.JobClient;
> 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.Reducer;
> import org.apache.hadoop.mapred.Reporter;
> import org.apache.hadoop.util.Tool;
> import org.apache.hadoop.util.ToolRunner;
> import org.apache.hadoop.mapred.lib.IdentityReducer;
>
>
> public class GraphMultiplication1 extends Configured implements Tool {
>
>     private static int nodes;
>     public static class MapClass extends MapReduceBase implements
> Mapper<LongWritable, Text, Text, Text> {
>
>     private Text intermediatekey = new Text();
>     private Text intermediatevalue = new Text();
>
>
>     /** map method. Read a line of the form (from to weight). Toss a coin
> */
>     public void map(LongWritable key, Text value, OutputCollector<Text,
> Text> output,
>             Reporter reporter) throws IOException
>       {
>         int i;
>         String row = value.toString();
>         if(row.indexOf("T")!=-1)
>         {
>           intermediatevalue.set(row);
>           for(i=1;i<=nodes;i++)
>           {
>             intermediatekey.set(String.valueOf(i));
>             output.collect(intermediatekey,intermediatevalue);
>           }//for(i=1;i<=10680;i++)
>         }//if(row.indexOf("T")!=-1)
>         else
>         {
>            String[] row1=row.split("\t");
>            intermediatekey.set(row1[0]);
>            intermediatevalue.set(row1[1]);
>            output.collect(intermediatekey,intermediatevalue);
>         }//else
>     }//end of map method
>   }//end of MapClass
>     /**
>      *  The reducer class.
>
>      */
>   public static class Reduce extends MapReduceBase implements Reducer<Text,
> Text, Text, Text>
>   {
>       TreeSet ts = new TreeSet();
>       Text value = new Text();
>       public void reduce(Text key, Iterator<Text>
> values,OutputCollector<Text, Text> output,
>               Reporter reporter) throws IOException {
>           String mul = new String();
>       int[] arr1;
>       int[] arr2;
>
>           while(values.hasNext())
>           {
>             String st = new String();
>             st=values.next().toString();
>             if(st.indexOf("T")!=-1)
>               ts.add(st);
>             else
>               mul=st;
>           }//while(values.hasNext())
>
>           Iterator itr = ts.iterator();
>           while(itr.hasNext())
>           {
>             HashMap hm = new HashMap();
>             String[] str = ((String)itr.next()).split("\t");
>             String[] str1 = str[1].split(" ");
>
>             arr1= new int[nodes];
>             arr2= new int[nodes];
>
>
>             for(int i=1; i < str1.length ; i++)
>             {
>               String[] temp = str1[i].split(":");
>               arr1[Integer.parseInt(temp[0])-1]=Integer.parseInt(temp[1]);
>             }//for(int i=0; i < str[1].length ; i++)
>
>             String[] str2 = mul.split(" ");
>             for(int i=0; i < str2.length ; i++)
>             {
>               String[] temp = str2[i].split(":");
>
> arr2[Integer.parseInt(temp[0])-1]=Integer.parseInt(temp[1]);
>             }//for(int i=0; i < str2.lenght ; i++)
>
>             for(int i=0; i < nodes ; i++)
>             {
>               if(arr1[i]==0)
>                 arr1[i]=10000000;
>               if(arr2[i]==0)
>                 arr2[i]=10000000;
>             }//for(int i=0; i < nodes ; i++)
>             arr1[Integer.parseInt(str[0])-1]=0;
>             arr2[Integer.parseInt(key.toString())-1]=0;
>
>
>            int weight=10000000;
>            for(int i=0;i < nodes ; i++)
>            {
>              if(arr1[i]!=10000000 && arr2[i]!=10000000)
>              {
>                int t=(arr1[i]+arr2[i]);
>                if(weight > t )
>                 weight=t;
>              }
>            }//for(int i=0;i < nodes ; i++)
>            if(weight!=10000000)
>            {
>             output.collect(key,new
> Text(str[0]+":"+String.valueOf(weight)));
>            }
>   //         output.collect(key,new Text(str[0]+":"+s1+"x"+s2));
>           }//while(itr.hasNext())
>     }//public void reduce(Text key, Iterator<Text>
> values,OutputCollector<Text, Text> output,Reporter reporter) throws
> IOException
>
>
>   }//public static class Reduce extends MapReduceBase implements
> Reducer<Text, Text, Text, Text>
>
>     protected static int printUsage ()
>     {
>     System.out.println("GraphMultiplication1 parameters: inputdir outputdir
> #mappers #reducers");
>     ToolRunner.printGenericCommandUsage(System.out);
>     return -1;
>     }
>
>     protected static void printWarning()
>     {
>         System.out.print("Line with neither 2 nor 3 tokens \n");
>         ToolRunner.printGenericCommandUsage(System.out);
>
>     }
>
>     public static void main(String[] args) throws Exception {
>         int res = ToolRunner.run(new Configuration(), new
> GraphMultiplication1(), args);
>         System.exit(res);
>     }
>
>     public int run(String[] args) throws Exception {
>
>         if( args.length != 5)
>         {
>             System.err.println(" 5 command line arguments needed");
>             System.err.println(" You gave instead "+args.length);
>             System.exit(-2);
>         }
>         for( int i = 0 ; i < args.length; i++)
>             System.out.println("Argument "+(i+1)+": "+args[i]);
>
>          JobConf conf = new JobConf(getConf(), GraphMultiplication1.class);
>          conf.setJobName("GraphMultiplication1");
>          conf.setOutputKeyClass(Text.class);
>          conf.setOutputValueClass(Text.class);
>          conf.setMapperClass(MapClass.class);
>          conf.setReducerClass(Reduce.class);
>          Path outdir = new Path(args[1]);
>          nodes= Integer.parseInt(args[2]);
>          FileInputFormat.setInputPaths(conf, args[0]);
>          FileOutputFormat.setOutputPath(conf, outdir);
>          conf.setNumMapTasks(Integer.parseInt(args[3]));
>          conf.setNumReduceTasks(Integer.parseInt(args[4]));
>
>          Date startTime = new Date();
>          System.out.println("Job started: " + startTime);
>          JobClient.runJob(conf);
>          Date endTime = new Date();
>          System.out.println("Job ended: " + endTime);
>          System.out.println("The job took " +
>                        (endTime.getTime() - startTime.getTime()) /1000 +
>                        " seconds.");
>          return 0;
>     }
>
> }
>
>