diff --git a/tracker/rabit_hadoop.py b/tracker/rabit_hadoop.py
index e9b53afbd..470455cb6 100755
--- a/tracker/rabit_hadoop.py
+++ b/tracker/rabit_hadoop.py
@@ -41,10 +41,20 @@ parser.add_argument('-ac', '--auto_file_cache', default=1, choices=[0, 1], type=
                     help = 'whether automatically cache the files in the command to hadoop localfile, this is on by default')
 parser.add_argument('-f', '--files', nargs = '*',
                     help = 'the cached file list in mapreduce,'\
-                        ' the submission script will automatically cache all the files which appears in command.'\
+                        ' the submission script will automatically cache all the files which appears in command to local folder'\
+                        ' This will also cause rewritten of all the file names in the command to current path,'\
+                        ' for example `../../kmeans ../kmeans.conf` will be rewritten to `./kmeans kmeans.conf`'\
+                        ' because the two files are cached to running folder.'\
                         ' You may need this option to cache additional files.'\
                         ' You can also use it to manually cache files when auto_file_cache is off')
 parser.add_argument('--jobname', help = 'customize jobname in tracker')
+parser.add_argument('--timeout', default=600000000, type=int,
+                    help = 'timeout of each mapper job, automatically set to a very long time,'\
+                        'normally you do not need to set this ')
+parser.add_argument('-m', '--memory_mb', default=-1, type=int,
+                    help = 'maximum memory used by the process, Guide: set it large (near mapred.cluster.max.map.memory.mb)'\
+                        'if you are running multi-threading rabit,'\
+                        'so that each node can occupy all the mapper slots in a machine for maximum performance')
 if hadoop_binary == None:
     parser.add_argument('-hb', '--hadoop_binary', required = True,
                         help="path-to-hadoop binary folder")  
@@ -66,15 +76,22 @@ if args.jobname is None:
     args.jobname = ('Rabit(nworker=%d):' % args.nworker) + args.command[0].split('/')[-1];
 
 def hadoop_streaming(nworker, worker_args):
-    cmd = '%s jar %s -D mapred.map.tasks=%d' % (args.hadoop_binary, args.hadoop_streaming_jar, nworker)
-    cmd += ' -D mapred.job.name=%s' % (args.jobname)
-    cmd += ' -input %s -output %s' % (args.input, args.output)
-    cmd += ' -mapper \"%s\" -reducer \"/bin/cat\" ' % (' '.join(args.command + worker_args))
     fset = set()
     if args.auto_file_cache:
-        for f in args.command:
+        for i in range(len(args.command)):
+            f = args.command[i]
             if os.path.exists(f):
                 fset.add(f)
+                if i == 0:
+                    args.command[i] = './' + args.command[i].split('/')[-1]                    
+                else:
+                    args.command[i] = args.command[i].split('/')[-1]    
+    cmd = '%s jar %s -D mapred.map.tasks=%d' % (args.hadoop_binary, args.hadoop_streaming_jar, nworker)
+    cmd += ' -Dmapred.job.name=%s' % (args.jobname)
+    cmd += ' -Dmapred.task.timeout=%d' % (args.timeout)
+    cmd += ' -Dmapred.job.map.memory.mb=%d' % (args.memory_mb)
+    cmd += ' -input %s -output %s' % (args.input, args.output)
+    cmd += ' -mapper \"%s\" -reducer \"/bin/cat\" ' % (' '.join(args.command + worker_args))
     if args.files != None:
         for flst in args.files:
             for f in flst.split('#'):