Github user pwendell commented on a diff in the pull request:
https://github.com/apache/spark/pull/1200#discussion_r14318513
--- Diff: docs/submitting-applications.md ---
@@ -42,10 +42,20 @@ Some of the commonly used options are:
* `--class`: The entry point for your application (e.g.
`org.apache.spark.examples.SparkPi`)
* `--master`: The [master URL](#master-urls) for the cluster (e.g.
`spark://23.195.26.187:7077`)
-* `--deploy-mode`: Whether to deploy your driver program within the
cluster or run it locally as an external client (either `cluster` or `client`)
+* `--deploy-mode`: Whether to deploy your driver on the worker nodes
(`cluster`) or locally as an external client (`client`) (default: `client`)*
* `application-jar`: Path to a bundled jar including your application and
all dependencies. The URL must be globally visible inside of your cluster, for
instance, an `hdfs://` path or a `file://` path that is present on all nodes.
* `application-arguments`: Arguments passed to the main method of your
main class, if any
+*In general, if you are hosting your own cluster, `cluster` mode provides
little benefit over its
--- End diff --
Some common deployment strategies are:
1. Run your application in "client mode" from a gateway machine it is
physically co-located with your Spark cluster.
2. Submit your application from a machine that is not co-located with the
Spark cluster (e.g. a personal laptop) and run the application in "cluster
mode".
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