mapreduce - Error in hadoop : "Exception in thread "main" java.lang.ClassNotFoundException" -

i have downloaded hadoop-2.7.1 ( apache hadoop) on ubuntu 14.04.3 lts (gnu/linux 3.19.0-25-generic x86_64) on oracle vm virtualbox.

i'm using following commands compile , run code :

compile

hduser@dt-virtualbox:~/desktop/project/try1$ javac -classpath $hadoop_home/share/hadoop/common/hadoop-common-2.7.1.jar:$hadoop_home/share/hadoop/mapreduce/hadoop-mapreduce-client-core-2.7.1.jar:$hadoop_home/share/hadoop/common/lib/commons-cli-1.2.jar -d /home/hduser/desktop/project/try1 *.java} 

then making jar file of class files , running jar file using:

 {hduser@dt-virtualbox:~/desktop/project/try1$ hadoop jar table_one.jar drivermap /trial/trial/ output_tryy1} 

please find below error

{exception in thread "main" java.lang.classnotfoundexception: drivermap     @ java.net.urlclassloader$1.run(urlclassloader.java:366)     @ java.net.urlclassloader$1.run(urlclassloader.java:355)     @ java.security.accesscontroller.doprivileged(native method)     @ java.net.urlclassloader.findclass(urlclassloader.java:354)     @ java.lang.classloader.loadclass(classloader.java:425)     @ java.lang.classloader.loadclass(classloader.java:358)     @ java.lang.class.forname0(native method)     @ java.lang.class.forname(class.java:278)     @ org.apache.hadoop.util.runjar.run(runjar.java:214)     @ org.apache.hadoop.util.runjar.main(runjar.java:136)} 

this drivermap.java file:

import org.apache.hadoop.conf.configuration; import org.apache.hadoop.fs.path; import org.apache.hadoop.io.text;  import org.apache.hadoop.mapreduce.job; import org.apache.hadoop.mapreduce.mapper; import org.apache.hadoop.mapreduce.lib.output.fileoutputformat;  import java.io.bufferedreader; import java.io.filereader; import java.io.ioexception; import java.util.*; import java.util.regex.matcher; import java.util.regex.pattern;  import org.apache.hadoop.conf.*; import org.apache.hadoop.io.*; import org.apache.hadoop.mapreduce.*; import org.apache.hadoop.mapreduce.lib.input.fileinputformat; import org.apache.hadoop.mapreduce.lib.input.textinputformat; import org.apache.hadoop.mapreduce.lib.output.fileoutputformat; import org.apache.hadoop.mapreduce.lib.output.textoutputformat;  public class drivermap {  public class mymapper extends mapper<text, text, text, text> {          string str, token = null;         list<string> tokens = new arraylist<string>();         string productid, userid, score;         private text word = new text();          public void map(text key, text value, context context) throws ioexception, interruptedexception {              str = value.tostring();        pattern p = pattern.compile(".*productid.*$|.*userid.*$|.*score.*$");             matcher m = p.matcher(str);              while(m.find())             {               token = m.group( 0 ); //group 0 entire match                 tokens.add(token);             }          //system.out.println(tokens);         string[] = tokens.tostring().split(":|\\,|]");         for(int j=0; j<a.length; j=j+6)         {             //system.out.println("a1 " + j+ "  : "+  a1[j]);             productid = a[j+1];             userid = a[j+3];             score = a[j+5];             word.set(productid + "|" +userid);             context.write(word, new text(score));            /*system.out.println("productid is: "+ a[j+1]);             system.out.println("userid is: "+ a[j+3]);             system.out.println("score is: "+ a[j+5]);*/         }     } }     public static void main(string[] args) throws exception{         // todo auto-generated method stub      configuration conf = new configuration();       job job = new job(conf, "recommendation");       job.setoutputkeyclass(text.class);      job.setoutputvalueclass(text.class);      job.setmapoutputkeyclass(text.class);      job.setmapoutputvalueclass(text.class);       job.setmapperclass(mymapper.class);      //job.setreducerclass(reduce.class);      job.setnumreducetasks(0);     //this turns off reducer , our mapper        result outputed output file.       job.setinputformatclass(textinputformat.class);      job.setoutputformatclass(textoutputformat.class);      job.setjarbyclass(drivermap.class);      /*   fileinputformat.addinputpath(job, new path(args[0]));      fileoutputformat.setoutputpath(job, new path(args[1]));      */         textinputformat.setinputpaths(job, new path(args[0]));      textoutputformat.setoutputpath(job, new path(args[1]));       job.waitforcompletion(true);        }      } 

you have give drivermap package name. "packagename.drivermap" while running jar file.

also, if craeting jar file, not require compile src code.