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https://issues.apache.org/jira/browse/CASSANDRA-7282?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14136908#comment-14136908
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Benedict commented on CASSANDRA-7282:
-------------------------------------

Some more numbers, with a warmup dataset to populate the map so that 
variability due to throughput rate is reduced. These numbers show the NBHOM 
consistently around 3x+ faster, although it introduces per-run variability due 
to GC.

{noformat}
Benchmark                            (readWriteRatio)  (type)  (warmup)   Mode  
Samples     Score  Score error   Units
b.b.c.HashOrderedCollections.test                 0.9    CSLM   5000000  thrpt  
      5  1392.273     2918.717  ops/ms
b.b.c.HashOrderedCollections.test                 0.9   NBHOM   5000000  thrpt  
      5  5088.408     8964.885  ops/ms
b.b.c.HashOrderedCollections.test                 0.5    CSLM   5000000  thrpt  
      5  1128.637     2589.679  ops/ms
b.b.c.HashOrderedCollections.test                 0.5   NBHOM   5000000  thrpt  
      5  3406.299     5606.085  ops/ms
b.b.c.HashOrderedCollections.test                 0.1    CSLM   5000000  thrpt  
      5   924.642     1802.045  ops/ms
b.b.c.HashOrderedCollections.test                 0.1   NBHOM   5000000  thrpt  
      5  3311.107      999.896  ops/ms
b.b.c.HashOrderedCollections.test                   0    CSLM   5000000  thrpt  
      5   939.757     1776.641  ops/ms
b.b.c.HashOrderedCollections.test                   0   NBHOM   5000000  thrpt  
      5  2781.503     4723.844  ops/ms
{noformat}

> 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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