You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Alan Braithwaite (JIRA)" <ji...@apache.org> on 2016/01/26 20:23:40 UTC

[jira] [Created] (SPARK-13007) Document where configuration / properties are read and applied

Alan Braithwaite created SPARK-13007:
----------------------------------------

             Summary: Document where configuration / properties are read and applied
                 Key: SPARK-13007
                 URL: https://issues.apache.org/jira/browse/SPARK-13007
             Project: Spark
          Issue Type: Improvement
          Components: Documentation
    Affects Versions: 1.6.0
            Reporter: Alan Braithwaite
            Priority: Critical


While spark is well documented for the most part, often times I have trouble determining where a configuration applies.

For example, when setting spark.dynamicAllocation.enabled	, does it always apply to the entire cluster manager, or is it possible to configure it on a per-job level?

Different levels I can think of:
Driver
Executor
Worker
Cluster

And I'm sure there are more.  This could be just another column in the configuration page.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org