Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/8385#discussion_r37719391
--- Diff: docs/running-on-yarn.md ---
@@ -21,32 +21,51 @@ There are two deploy modes that can be used to launch
Spark applications on YARN
Unlike in Spark standalone and Mesos mode, in which the master's address
is specified in the `--master` parameter, in YARN mode the ResourceManager's
address is picked up from the Hadoop configuration. Thus, the `--master`
parameter is `yarn-client` or `yarn-cluster`.
To launch a Spark application in `yarn-cluster` mode:
- `$ ./bin/spark-submit --class path.to.your.Class --master yarn-cluster
[options] <app jar> [app options]`
-
+ `$ ./bin/spark-submit --class path.to.your.Class --master yarn
--deploy-mode yarn-client/yarn-cluster [options] <app jar> [app options]`
+
For example:
$ ./bin/spark-submit --class org.apache.spark.examples.SparkPi \
- --master yarn-cluster \
+ --master yarn \
+ --deploy-mode cluster
--num-executors 3 \
--driver-memory 4g \
--executor-memory 2g \
--executor-cores 1 \
--queue thequeue \
lib/spark-examples*.jar \
- 10
+
+`--deploy-mode` can be either client or cluster.
--- End diff --
As per above, explain this before the examples not after (and, nit, you can
backtick-quote keywords)
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