Updating lots of docs to use the new special version number variables,

also adding the version to the navbar so it is easy to tell which
version of Spark these docs were compiled for.

1 files changed, 8 insertions, 7 deletions

diff --git a/docs/running-on-yarn.md b/docs/running-on-yarn.md
index 501b19b79e..dd094ab131 100644
--- a/docs/running-on-yarn.md
+++ b/docs/running-on-yarn.md
@@ -3,10 +3,11 @@ layout: global
 title: Launching Spark on YARN
 ---
 
-Spark 0.6 adds experimental support for running over a [YARN (Hadoop 
-NextGen)](http://hadoop.apache.org/docs/r2.0.1-alpha/hadoop-yarn/hadoop-yarn-site/YARN.html) cluster. 
-Because YARN depends on version 2.0 of the Hadoop libraries, this currently requires checking out a
-separate branch of Spark, called `yarn`, which you can do as follows:
+Experimental support for running over a [YARN (Hadoop
+NextGen)](http://hadoop.apache.org/docs/r2.0.1-alpha/hadoop-yarn/hadoop-yarn-site/YARN.html)
+cluster was added to Spark in version 0.6.0.  Because YARN depends on version
+2.0 of the Hadoop libraries, this currently requires checking out a separate
+branch of Spark, called `yarn`, which you can do as follows:
 
     git clone git://github.com/mesos/spark
     cd spark
@@ -18,7 +19,7 @@ separate branch of Spark, called `yarn`, which you can do as follows:
 - In order to distribute Spark within the cluster, it must be packaged into a single JAR file. This can be done by running `sbt/sbt assembly`
 - Your application code must be packaged into a separate JAR file.
 
-If you want to test out the YARN deployment mode, you can use the current Spark examples. A `spark-examples_2.9.2-0.6.0-SNAPSHOT.jar` file can be generated by running `sbt/sbt package`.
+If you want to test out the YARN deployment mode, you can use the current Spark examples. A `spark-examples_{{site.SCALA_VERSION}}-{{site.SPARK_VERSION}}-SNAPSHOT.jar` file can be generated by running `sbt/sbt package`. NOTE: since the documentation you're reading is for Spark version {{site.SPARK_VERSION}}, we are assuming here that you have downloaded Spark {{site.SPARK_VERSION}} or checked it out of source control. If you are using a different version of Spark, the version numbers in the jar generated by the sbt package command will obviously be different.
 
 # Launching Spark on YARN
 
@@ -34,8 +35,8 @@ The command to launch the YARN Client is as follows:
 
 For example:
 
-    SPARK_JAR=./core/target/spark-core-assembly-0.6.0-SNAPSHOT.jar ./run spark.deploy.yarn.Client \
-      --jar examples/target/scala-2.9.2/spark-examples_2.9.2-0.6.0-SNAPSHOT.jar \
+    SPARK_JAR=./core/target/spark-core-assembly-{{site.SPARK_VERSION}}-SNAPSHOT.jar ./run spark.deploy.yarn.Client \
+      --jar examples/target/scala-{{site.SCALA_VERSION}}/spark-examples_{{site.SCALA_VERSION}}-{{site.SPARK_VERSION}}-SNAPSHOT.jar \
       --class spark.examples.SparkPi \
       --args standalone \
       --num-workers 3 \