Minor doc fixes and updating README

README.md

@@ -55,7 +55,7 @@ versions without YARN, use:
     # Cloudera CDH 4.2.0 with MapReduce v1
     $ SPARK_HADOOP_VERSION=2.0.0-mr1-cdh4.2.0 sbt/sbt assembly
 
-For Apache Hadoop 2.x, 0.23.x, Cloudera CDH MRv2, and other Hadoop versions
+For Apache Hadoop 2.0.X, 2.1.X, 0.23.x, Cloudera CDH MRv2, and other Hadoop versions
 with YARN, also set `SPARK_YARN=true`:
 
     # Apache Hadoop 2.0.5-alpha
@@ -64,6 +64,11 @@ with YARN, also set `SPARK_YARN=true`:
     # Cloudera CDH 4.2.0 with MapReduce v2
     $ SPARK_HADOOP_VERSION=2.0.0-cdh4.2.0 SPARK_YARN=true sbt/sbt assembly
 
+When building for Hadoop 2.2.X and newer, you'll need to include the additional `new-yarn` profile:
+
+    # Apache Hadoop 2.2.X and newer
+    $ mvn -Dyarn.version=2.2.0 -Dhadoop.version=2.2.0 -Pnew-yarn
+
 For convenience, these variables may also be set through the `conf/spark-env.sh` file
 described below.
 

docs/building-with-maven.md

@@ -46,7 +46,9 @@ For Apache Hadoop 2.x, 0.23.x, Cloudera CDH MRv2, and other Hadoop versions with
     $ mvn -Phadoop2-yarn -Dhadoop.version=2.0.0-cdh4.2.0 -Dyarn.version=2.0.0-chd4.2.0 -DskipTests clean package
 
 Hadoop versions 2.2.x and newer can be built by setting the ```new-yarn``` and the ```yarn.version``` as follows:
-       mvn -Dyarn.version=2.2.0 -Dhadoop.version=2.2.0 -Pnew-yarn
+ 
+    # Apache Hadoop 2.2.X and newer
+    $ mvn -Dyarn.version=2.2.0 -Dhadoop.version=2.2.0 -Pnew-yarn
 
 The build process handles Hadoop 2.2.x as a special case that uses the directory ```new-yarn```, which supports the new YARN API. Furthermore, for this version, the build depends on artifacts published by the spark-project to enable Akka 2.0.5 to work with protobuf 2.5. 
 

docs/index.md

@@ -65,7 +65,7 @@ In addition, if you wish to run Spark on [YARN](running-on-yarn.md), set
 
 Note that on Windows, you need to set the environment variables on separate lines, e.g., `set SPARK_HADOOP_VERSION=1.2.1`.
 
-For this version of Spark (0.8.1) Hadoop 2.2.x (or newer) users will have to build Spark and publish it locally. See [Launching Spark on YARN](running-on-yarn.md). This is needed because Hadoop 2.2 has non backwards compatible API changes.
+For this version of Spark (0.8.1) Hadoop 2.2.x (or newer) users will have to build Spark and publish it locally. See [Launching Spark on YARN](running-on-yarn.html). This is needed because Hadoop 2.2 has non backwards compatible API changes.
 
 # Where to Go from Here