[GitHub] [spark] felixcheung commented on a change in pull request #23919: [MINOR][DOC] Documentation improvement: More detailed explanation of possible "deploy-mode"s

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felixcheung commented on a change in pull request #23919: [MINOR][DOC] Documentation improvement: More detailed explanation of possible "deploy-mode"s
URL: https://github.com/apache/spark/pull/23919#discussion_r263076697
 
 

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 File path: docs/submitting-applications.md
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 @@ -48,13 +48,22 @@ Some of the commonly used options are:
 * `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
 
-<b>&#8224;</b> A common deployment strategy is to submit your application from a gateway machine
-that is
-physically co-located with your worker machines (e.g. Master node in a standalone EC2 cluster).
-In this setup, `client` mode is appropriate. In `client` mode, the driver is launched directly
-within the `spark-submit` process which acts as a *client* to the cluster. The input and
-output of the application is attached to the console. Thus, this mode is especially suitable
-for applications that involve the REPL (e.g. Spark shell).
+<b>&#8224;</b>In `client` mode, the driver is launched directly within the `spark-submit` process on
+the machine which was used to submit the Spark job, and it will act as a *client* to the cluster.
 
 Review comment:
   well, that's terminology perhaps we need to change for k8s.

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