Github user pwendell commented on a diff in the pull request:
https://github.com/apache/spark/pull/756#discussion_r12569697
--- Diff: docs/running-on-mesos.md ---
@@ -3,19 +3,105 @@ layout: global
title: Running Spark on Mesos
---
-Spark can run on clusters managed by [Apache
Mesos](http://mesos.apache.org/). Follow the steps below to install Mesos and
Spark:
-
-1. Download and build Spark using the instructions [here](index.html).
**Note:** Don't forget to consider what version of HDFS you might want to use!
-2. Download, build, install, and start Mesos {{site.MESOS_VERSION}} on
your cluster. You can download the Mesos distribution from a
[mirror](http://www.apache.org/dyn/closer.cgi/mesos/{{site.MESOS_VERSION}}/).
See the Mesos [Getting Started](http://mesos.apache.org/gettingstarted) page
for more information. **Note:** If you want to run Mesos without installing it
into the default paths on your system (e.g., if you don't have administrative
privileges to install it), you should also pass the `--prefix` option to
`configure` to tell it where to install. For example, pass
`--prefix=/home/user/mesos`. By default the prefix is `/usr/local`.
-3. Create a Spark "distribution" using `make-distribution.sh`.
-4. Rename the `dist` directory created from `make-distribution.sh` to
`spark-{{site.SPARK_VERSION}}`.
-5. Create a `tar` archive: `tar czf spark-{{site.SPARK_VERSION}}.tar.gz
spark-{{site.SPARK_VERSION}}`
-6. Upload this archive to HDFS or another place accessible from Mesos via
`http://`, e.g., [Amazon Simple Storage Service](http://aws.amazon.com/s3):
`hadoop fs -put spark-{{site.SPARK_VERSION}}.tar.gz
/path/to/spark-{{site.SPARK_VERSION}}.tar.gz`
-7. Create a file called `spark-env.sh` in Spark's `conf` directory, by
copying `conf/spark-env.sh.template`, and add the following lines to it:
- * `export MESOS_NATIVE_LIBRARY=<path to libmesos.so>`. This path is
usually `<prefix>/lib/libmesos.so` (where the prefix is `/usr/local` by
default, see above). Also, on Mac OS X, the library is called `libmesos.dylib`
instead of `libmesos.so`.
+# Why Mesos
+
+Spark can run on hardware clusters managed by [Apache
Mesos](http://mesos.apache.org/).
+
+The advantages of deploying Spark with Mesos include:
+- dynamic partitioning between Spark and other
+
[frameworks](https://mesos.apache.org/documentation/latest/mesos-frameworks/)
+- scalable partitioning between multiple instances of Spark
+
+To get started, follow the steps below to install Mesos and deploy Spark
jobs via Mesos.
+
+
+# Installing Mesos
+
+Spark {{site.SPARK_VERSION}} is designed for use with Mesos
{{site.MESOS_VERSION}} and does not
--- End diff --
Incidentally I think `MESOS_VERSION` needs to be updated to 0.18 - mind
doing that?
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