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From "T Jake Luciani (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (CASSANDRA-10331) Establish and implement canonical bulk reading workload(s)
Date Mon, 07 Mar 2016 15:27:40 GMT

    [ https://issues.apache.org/jira/browse/CASSANDRA-10331?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15183136#comment-15183136
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T Jake Luciani commented on CASSANDRA-10331:
--------------------------------------------

I like it!

Just so I understand. If I insert 100k items and set page size 1k I will do one loop around
the tr in 100 iterations right (with 1 thread) with 100 threads all ranges will be split evenly?

How does split_factor relate to threads? Just allocates more splits for threads to work on
at once?
If we wanted to simulate fetching all data uniquely ONLY once can we do that using -pop no-wrap
seq=1..N where N is the insert count?  

In terms of code changes the only thing worth mentioning is you should add a check that the
same label isn't used in queries AND token_range_queries.




> Establish and implement canonical bulk reading workload(s)
> ----------------------------------------------------------
>
>                 Key: CASSANDRA-10331
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-10331
>             Project: Cassandra
>          Issue Type: Sub-task
>            Reporter: Ariel Weisberg
>            Assignee: Stefania
>             Fix For: 3.x
>
>
> Implement a client, use stress, or extend stress to a bulk reading workload that is indicative
of the performance we are trying to improve.



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