Github user pwendell commented on a diff in the pull request:
https://github.com/apache/spark/pull/30#discussion_r11654985
--- Diff: docs/python-programming-guide.md ---
@@ -63,6 +63,11 @@ All of PySpark's library dependencies, including
[Py4J](http://py4j.sourceforge.
Standalone PySpark applications should be run using the `bin/pyspark`
script, which automatically configures the Java and Python environment using
the settings in `conf/spark-env.sh` or `.cmd`.
The script automatically adds the `bin/pyspark` package to the
`PYTHONPATH`.
+# Running PySpark on YARN
+
+Running PySpark on a YARN-managed cluster requires a few extra steps. The
client must reference a ZIP file containing PySpark and its dependencies. To
create this file, run "make" inside the `python/` directory in the Spark
source. This will generate `pyspark-assembly.zip` under `python/build/`. Then,
set the PYSPARK_ZIP environment variable to point to the location of this file.
Lastly, set MASTER=yarn-client.
--- End diff --
If you make the proposed changes this could be simplified to just saying
that you can run it in yarn-client mode.
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