Github user pwendell commented on a diff in the pull request:
https://github.com/apache/spark/pull/601#discussion_r12173948
--- Diff: docs/running-on-yarn.md ---
@@ -12,12 +12,14 @@ was added to Spark in version 0.6.0, and improved in
0.7.0 and 0.8.0.
We need a consolidated Spark JAR (which bundles all the required
dependencies) to run Spark jobs on a YARN cluster.
This can be built by setting the Hadoop version and `SPARK_YARN`
environment variable, as follows:
- SPARK_HADOOP_VERSION=2.0.5-alpha SPARK_YARN=true sbt/sbt assembly
+ mvn package -Pyarn -Dyarn.version=2.2.0 -Dhadoop.version=2.2.0
-DskipTests
The assembled JAR will be something like this:
-`./assembly/target/scala-{{site.SCALA_BINARY_VERSION}}/spark-assembly_{{site.SPARK_VERSION}}-hadoop2.0.5.jar`.
+`./assembly/target/scala-{{site.SCALA_BINARY_VERSION}}/spark-assembly_{{site.SPARK_VERSION}}-hadoop2.2.0.jar`.
-The build process now also supports new YARN versions (2.2.x). See below.
+The build process also supports YARN versions older than 2.2.0 (e.g.
0.23.x).
+
+ mvn package -Pyarn-alpha -Dyarn.version=0.23.7 -Dhadoop.version=0.23.7
-DskipTests
# Preparations
--- End diff --
It would also be nice to update this section if you have time. Right now it
says you need to build the examples jar but again, almost all users will just
download a pre-compiled version of spark that has examples in the `lib/`
directory.
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