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https://issues.apache.org/jira/browse/CASSANDRA-7282?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14132885#comment-14132885
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Branimir Lambov commented on CASSANDRA-7282:
--------------------------------------------

I have a question about the implementation:

You state in the preface of the NBHOM that the following condition must be 
satisfied "for two keys k1, k2: k1 < k2 => k1.hashCode() < k2.hashCode()". I 
can see that if the condition is satisfied the structure will work very well, 
but this condition is much too strong. On one hand, I don't believe the 
inequality on the right side of the condition should be strict, because this 
forbids all collisions in the hash function in a totally ordered key set. More 
importantly, even with <= on the right, I don't think the condition is 
satisfiable for any usable hash function and in particular, I don't see how the 
Murmur3 partitioner tokens satisfy it.

Could you elaborate on why this condition is satisfied by the proposed code?

> Faster Memtable map
> -------------------
>
>                 Key: CASSANDRA-7282
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-7282
>             Project: Cassandra
>          Issue Type: Improvement
>          Components: Core
>            Reporter: Benedict
>            Assignee: Benedict
>              Labels: performance
>             Fix For: 3.0
>
>         Attachments: profile.yaml, reads.svg, run1.svg, writes.svg
>
>
> Currently we maintain a ConcurrentSkipLastMap of DecoratedKey -> Partition in 
> our memtables. Maintaining this is an O(lg(n)) operation; since the vast 
> majority of users use a hash partitioner, it occurs to me we could maintain a 
> hybrid ordered list / hash map. The list would impose the normal order on the 
> collection, but a hash index would live alongside as part of the same data 
> structure, simply mapping into the list and permitting O(1) lookups and 
> inserts.
> I've chosen to implement this initial version as a linked-list node per item, 
> but we can optimise this in future by storing fatter nodes that permit a 
> cache-line's worth of hashes to be checked at once,  further reducing the 
> constant factor costs for lookups.



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