Github user tgravescs commented on a diff in the pull request:

    https://github.com/apache/spark/pull/10699#discussion_r49344162
  
    --- Diff: docs/running-on-yarn.md ---
    @@ -260,10 +260,10 @@ If you need a reference to the proper location to put 
log files in the YARN so t
       <td>(none)</td>
       <td>
         A comma-separated list of secure HDFS namenodes your Spark application 
is going to access. For
    -    example, 
<code>spark.yarn.access.namenodes=hdfs://nn1.com:8032,hdfs://nn2.com:8032</code>.
    -    The Spark application must have access to the namenodes listed and 
Kerberos must
    -    be properly configured to be able to access them (either in the same 
realm or in
    -    a trusted realm). Spark acquires security tokens for each of the 
namenodes so that
    +    example, 
<code>spark.yarn.access.namenodes=hdfs://nn1.com:8032,hdfs://nn2.com:8032,
    +    webhdfs://nn3.com:50070</code>. The Spark application must have access 
to the namenodes listed 
    --- End diff --
    
     Its fine to mix schemas it really just depends on what your access pattern 
is and where the cluster is located (regionally).  Generally we recommend 
webhdfs for reading only and only use it when needed (cross colo or 
incompatibility in versions).   If your spark application is reading or writing 
from 2 different clusters its fine to mix, one might be in the same colo and 
another cross colo.
    
    I was just hoping to point out that it can be used with webhdfs also and 
leave it up to the user to know what webhdfs is and when its used based on 
their deployments.  If you think it would be clearer to break out to a sentence 
I'm fine with that


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