Github user jiangxb1987 commented on a diff in the pull request:
https://github.com/apache/spark/pull/19946#discussion_r158202645
--- Diff: docs/running-on-yarn.md ---
@@ -18,7 +18,8 @@ Spark application's configuration (driver, executors, and
the AM when running in
There are two deploy modes that can be used to launch Spark applications
on YARN. In `cluster` mode, the Spark driver runs inside an application master
process which is managed by YARN on the cluster, and the client can go away
after initiating the application. In `client` mode, the driver runs in the
client process, and the application master is only used for requesting
resources from YARN.
-Unlike [Spark standalone](spark-standalone.html) and
[Mesos](running-on-mesos.html) modes, 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`.
+Unlike other cluster managers supported by Spark
+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`.
--- End diff --
nit: why start a new line here?
---
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
