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From ash211 <...@git.apache.org>
Subject [GitHub] spark pull request: Add mesos specific configurations into doc
Date Tue, 18 Nov 2014 23:40:19 GMT
Github user ash211 commented on a diff in the pull request:

    https://github.com/apache/spark/pull/3349#discussion_r20548296
  
    --- Diff: docs/running-on-mesos.md ---
    @@ -183,6 +183,47 @@ node. Please refer to [Hadoop on Mesos](https://github.com/mesos/hadoop).
     In either case, HDFS runs separately from Hadoop MapReduce, without being scheduled through
Mesos.
     
     
    +# Configuration
    +
    +See the [configuration page](configuration.html) for information on Spark configurations.
 The following configs are specific for Spark on Mesos.
    +
    +#### Spark Properties
    +
    +<table class="table">
    +<tr><th>Property Name</th><th>Default</th><th>Meaning</th></tr>
    +<tr>
    +  <td><code>spark.mesos.coarse</code></td>
    +  <td>false</td>
    +  <td>
    +    Set the run mode for Spark on Mesos. For more information about the run mode, refer
to #Mesos Run Mode section above.
    +  </td>
    +</tr>
    +<tr>
    +  <td><code>spark.mesos.extra.cores</code></td>
    +  <td>0</td>
    +  <td>
    +    Set the extra amount of cpus to request per task.
    --- End diff --
    
    Is this setting for both coarse and fine grained modes?
    
    Also can you provide a formula that produces the total number of cores requested?  From
what you have now I'm thinking something like:
    
    `totalCoresPerExecutor = numTasks + extraCores`
    
    This would be similar to the formula for memoryOverhead below


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