[jira] [Resolved] (HBASE-17340) Workload management with Hbase

["Jean-Marc Spaggiari (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/HBASE-17340?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Jean-Marc Spaggiari resolved HBASE-17340.
-----------------------------------------
    Resolution: Invalid

> Workload management with Hbase 
> -------------------------------
>
>                 Key: HBASE-17340
>                 URL: https://issues.apache.org/jira/browse/HBASE-17340
>             Project: HBase
>          Issue Type: Brainstorming
>          Components: Client
>            Reporter: vincent eiger
>
> Hi guys, I am project manager in a bank where we work on a POC. We try to test the first step of our Datalake with:
> - a first layer for landing area : store files without transformation in HDFS (nowdays 6 files)
> -a second layer in Hbase where we upload with one spark job a unique Hbase table.
> We know that with capacity scheduler in Yarn we could guarantee resources consumption (memory, CPU) for spark jobs.
> My question is :
> - how i could guarantee resources for my Hbase client : I mean one application which request my table with Hbase native client and at the same time some other application, batch run spark jobs... I want ensure all the time at least 30% of capactity to my application (which request my Hbase table) in order to guarantee for instance 50 request at the same time with less than 200 ms per user.
> Is Slider the good answer ?
> Thanks a lot for answers, 



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