From 74ba97fcf75ae61833295a896dcdf775036ae1d8 Mon Sep 17 00:00:00 2001
From: Prashant Sharma <prashant.s@imaginea.com>
Date: Fri, 3 Jan 2014 15:08:01 +0530
Subject: sbin/spark-class* -> bin/spark-class*

---
 docs/running-on-yarn.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

(limited to 'docs/running-on-yarn.md')

diff --git a/docs/running-on-yarn.md b/docs/running-on-yarn.md
index e2b21f9cde..e21812378c 100644
--- a/docs/running-on-yarn.md
+++ b/docs/running-on-yarn.md
@@ -54,7 +54,7 @@ There are two scheduler mode that can be used to launch spark application on YAR
 
 The command to launch the YARN Client is as follows:
 
-    SPARK_JAR=<SPARK_ASSEMBLY_JAR_FILE> ./sbin/spark-class org.apache.spark.deploy.yarn.Client \
+    SPARK_JAR=<SPARK_ASSEMBLY_JAR_FILE> ./bin/spark-class org.apache.spark.deploy.yarn.Client \
       --jar <YOUR_APP_JAR_FILE> \
       --class <APP_MAIN_CLASS> \
       --args <APP_MAIN_ARGUMENTS> \
@@ -79,7 +79,7 @@ For example:
 
     # Submit Spark's ApplicationMaster to YARN's ResourceManager, and instruct Spark to run the SparkPi example
     $ SPARK_JAR=./assembly/target/scala-{{site.SCALA_VERSION}}/spark-assembly-{{site.SPARK_VERSION}}-hadoop2.0.5-alpha.jar \
-        ./sbin/spark-class org.apache.spark.deploy.yarn.Client \
+        ./bin/spark-class org.apache.spark.deploy.yarn.Client \
           --jar examples/target/scala-{{site.SCALA_VERSION}}/spark-examples-assembly-{{site.SPARK_VERSION}}.jar \
           --class org.apache.spark.examples.SparkPi \
           --args yarn-standalone \
-- 
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