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https://issues.apache.org/jira/browse/HBASE-12790?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14381449#comment-14381449
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ramkrishna.s.vasudevan commented on HBASE-12790:
------------------------------------------------

James has just replied to your question.  Just seeing.

> Support fairness across parallelized scans
> ------------------------------------------
>
>                 Key: HBASE-12790
>                 URL: https://issues.apache.org/jira/browse/HBASE-12790
>             Project: HBase
>          Issue Type: New Feature
>            Reporter: James Taylor
>            Assignee: ramkrishna.s.vasudevan
>              Labels: Phoenix
>         Attachments: AbstractRoundRobinQueue.java, HBASE-12790.patch, 
> HBASE-12790_1.patch
>
>
> Some HBase clients parallelize the execution of a scan to reduce latency in 
> getting back results. This can lead to starvation with a loaded cluster and 
> interleaved scans, since the RPC queue will be ordered and processed on a 
> FIFO basis. For example, if there are two clients, A & B that submit largish 
> scans at the same time. Say each scan is broken down into 100 scans by the 
> client (broken down into equal depth chunks along the row key), and the 100 
> scans of client A are queued first, followed immediately by the 100 scans of 
> client B. In this case, client B will be starved out of getting any results 
> back until the scans for client A complete.
> One solution to this is to use the attached AbstractRoundRobinQueue instead 
> of the standard FIFO queue. The queue to be used could be (maybe it already 
> is) configurable based on a new config parameter. Using this queue would 
> require the client to have the same identifier for all of the 100 parallel 
> scans that represent a single logical scan from the clients point of view. 
> With this information, the round robin queue would pick off a task from the 
> queue in a round robin fashion (instead of a strictly FIFO manner) to prevent 
> starvation over interleaved parallelized scans.



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