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https://issues.apache.org/jira/browse/CASSANDRA-4705?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13466390#comment-13466390
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Vijay commented on CASSANDRA-4705:
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I pushed the prototype code into 
https://github.com/Vijay2win/cassandra/commit/62bbabfc41ba8e664eb63ba50110e5f5909b2a87

Looks like metrics-core exposes 75, 95, 97, 99 and 99.9 Percentile's, with my 
tests 75P is too low, and 99 is too high to make a difference, whereas 95P long 
tail looks better (Moving average doesn't make much of a difference too). 

I still think we should also support hard coded value in addition to the auto :)

Note: have to make the speculative_retry part of the schema but currently if 
you want to test it out it is a code change in CFMetaData
                
> Speculative execution for CL_ONE
> --------------------------------
>
>                 Key: CASSANDRA-4705
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-4705
>             Project: Cassandra
>          Issue Type: Improvement
>    Affects Versions: 1.2.0
>            Reporter: Vijay
>            Assignee: Vijay
>            Priority: Minor
>
> When read_repair is not 1.0, we send the request to one node for some of the 
> requests. When a node goes down or when a node is too busy the client has to 
> wait for the timeout before it can retry. 
> It would be nice to watch for latency and execute an additional request to a 
> different node, if the response is not received within average/99% of the 
> response times recorded in the past.
> CASSANDRA-2540 might be able to solve the variance when read_repair is set to 
> 1.0
> 1) May be we need to use metrics-core to record various Percentiles
> 2) Modify ReadCallback.get to execute additional request speculatively.

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