Github user pwendell commented on a diff in the pull request:
https://github.com/apache/spark/pull/896#discussion_r13108963
--- Diff: docs/submitting-applications.md ---
@@ -0,0 +1,153 @@
+---
+layout: global
+title: Submitting Applications
+---
+
+The `spark-submit` script in Spark's `bin` directory is used to launch
applications on a cluster.
+It can use all of Spark's supported [cluster
managers](cluster-overview.html#cluster-manager-types)
+through a uniform interface so you don't have to configure your
application specially for each one.
+
+# Bundling Your Application's Dependencies
+If your code depends on other projects, you will need to package them
alongside
+your application in order to distribute the code to a Spark cluster. To do
this,
+to create an assembly jar (or "uber" jar) containing your code and its
dependencies. Both
+[sbt](https://github.com/sbt/sbt-assembly) and
+[Maven](http://maven.apache.org/plugins/maven-shade-plugin/)
+have assembly plugins. When creating assembly jars, list Spark and Hadoop
+as `provided` dependencies; these need not be bundled since they are
provided by
+the cluster manager at runtime. Once you have an assembled jar you can
call the `bin/spark-submit`
+script as shown here while passing your jar.
+
+For Python, you can use the `--py-files` argument of `spark-submit` to add
`.py`, `.zip` or `.egg`
+files to be distributed with your application. If you depend on multiple
Python files we recommend
+packaging them into a `.zip` or `.egg`.
+
+# Launching Applications with spark-submit
+
+Once a user application is bundled, it can be launched using the
`bin/spark-submit` script
--- End diff --
This sentence needs a period. Wasn't part of your change but I just noticed
it.
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