diff --git a/guide/README.md b/guide/README.md
index a2ef94160..8d3aa1b29 100644
--- a/guide/README.md
+++ b/guide/README.md
@@ -197,13 +197,10 @@ Rabit is a portable library that can run on multiple platforms.
 * You can use [../tracker/rabit_hadoop.py](../tracker/rabit_hadoop.py) to run rabit programs on hadoop
 * This will start n rabit programs as mappers of MapReduce
 * Each program can read its portion of data from stdin
-* Yarn is highly recommended, since Yarn allows specifying number of cpus and memory of each mapper:
+* Yarn(Hadoop 2.0 or higher) is highly recommended, since Yarn allows specifying number of cpus and memory of each mapper:
   - This allows multi-threading programs in each node, which can be more efficient
   - An easy multi-threading solution could be to use OpenMP with rabit code
 
-#### Running Rabit on Yarn
-* To Be modified from [../tracker/rabit_hadoop.py](../tracker/rabit_hadoop.py)
-
 #### Running Rabit using MPI
 * You can submit rabit programs to an MPI cluster using [../tracker/rabit_mpi.py](../tracker/rabit_mpi.py).
 * If you linked your code against librabit_mpi.a, then you can directly use mpirun to submit the job
diff --git a/tracker/rabit_hadoop.py b/tracker/rabit_hadoop.py
index 0d2850dcc..2883b1c47 100755
--- a/tracker/rabit_hadoop.py
+++ b/tracker/rabit_hadoop.py
@@ -89,8 +89,7 @@ assert out[0] == 'Hadoop', 'cannot parse hadoop version string'
 hadoop_version = out[1].split('.')
 use_yarn = int(hadoop_version[0]) >= 2
 
-if not use_yarn:
-    print 'Current Hadoop Version is %s' % out[1]
+print 'Current Hadoop Version is %s' % out[1]
 
 def hadoop_streaming(nworker, worker_args, use_yarn):
     fset = set()