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https://issues.apache.org/jira/browse/BIGTOP-1136?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13915480#comment-13915480
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Konstantin Boudnik commented on BIGTOP-1136:
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That seems like a reasonable way to go, Jay. We do setup a number of users via 
puppet deployment recipes, so it shouldn't be a problem to have them there. 
Let's make sure that the user ids are aligned though.

> Testing Multitenancy and Multiuser applications
> -----------------------------------------------
>
>                 Key: BIGTOP-1136
>                 URL: https://issues.apache.org/jira/browse/BIGTOP-1136
>             Project: Bigtop
>          Issue Type: New Feature
>          Components: Tests
>            Reporter: jay vyas
>            Priority: Minor
>
> One of the items which is important for emerging, more flexible hadoop 
> deployments is multitenancy.  
> JIRA's such as this one: https://issues.apache.org/jira/browse/MAPREDUCE-5571
> Are very hard to test, and it would be extremely useful to many people 
> deploying non standard hadoop environments , if they could test that 
> multitenant and multiuser support was functional on their cluster. 
> This is sort of related to the stress tests jira 
> https://issues.apache.org/jira/browse/BIGTOP-1065, also recently created.
> I'm not really even sure this is possible in a fully automated / iTest sort 
> of fashion... so to start, any thoughts on how bigtop should test multi user, 
> multi tenant workloads?  One simple way to do it would be to launch 4 or 5 
> "calculate pi" jobs at one time, maybe from different users?  But how could 
> we "predict" off hand the usernames which will be available and appropriate 
> to submit jobs on a cluster, without the user specifying them?
> In any case, bigtop smokes is ideal for this kind of testing, because this 
> kind of testing is really only applicable to a cluster which is being used by 
> for a real deployment.  Other tests (i.e. pig smoke tests) are well handled 
> and covered by the individual ecosystem projects.



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