Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/8629#discussion_r38841734
--- Diff: docs/cluster-overview.md ---
@@ -33,9 +34,9 @@ There are several useful things to note about this
architecture:
2. Spark is agnostic to the underlying cluster manager. As long as it can
acquire executor
processes, and these communicate with each other, it is relatively easy
to run it even on a
cluster manager that also supports other applications (e.g. Mesos/YARN).
-3. The driver program must listen for and accept incoming connections from
its executors throughout
- its lifetime (e.g., see [spark.driver.port and spark.fileserver.port in
the network config
- section](configuration.html#networking)). As such, the driver program
must be network
+3. The driver program must listen for and accept incoming connections from
its executors throughout
--- End diff --
Also what's the change here?
The rest LGTM.
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