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https://issues.apache.org/jira/browse/CASSANDRA-10855?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15056445#comment-15056445
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Ben Manes commented on CASSANDRA-10855:
---------------------------------------

A little background from private discussions with Jonathan and Robert leading 
to this ticket. If the performance analysis is positive then it provides a 
strong motivation to integrate W-TinyLFU into OHC. As Robert described it, the 
on-heap caches are low hanging fruit where the key cache is performance 
critical.

These caching projects have always been on my personal time as a research 
hobby. My original interest was on concurrency, since all other caches either 
use coarse locking or make sacrifices for throughput (e.g. lower hit rates, 
O(n) eviction). More recently I worked on improving hit rates, as described in 
that paper. I've tended to keep a narrow focus until solving a particularly 
hard problem and off-heap adds more complexity so it wasn't tackled. I'm a 
little disappointed that OHC didn't borrow ideas from CLHM, as the fundamentals 
are transferable, but perhaps we'll combine them all together in a future 
project.

> Use Caffeine (W-TinyLFU) for on-heap caches
> -------------------------------------------
>
>                 Key: CASSANDRA-10855
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-10855
>             Project: Cassandra
>          Issue Type: Improvement
>            Reporter: Ben Manes
>              Labels: performance
>
> Cassandra currently uses 
> [ConcurrentLinkedHashMap|https://code.google.com/p/concurrentlinkedhashmap] 
> for performance critical caches (key, counter) and Guava's cache for 
> non-critical (auth, metrics, security). All of these usages have been 
> replaced by [Caffeine|https://github.com/ben-manes/caffeine], written by the 
> author of the previously mentioned libraries.
> The primary incentive is to switch from LRU policy to W-TinyLFU, which 
> provides [near optimal|https://github.com/ben-manes/caffeine/wiki/Efficiency] 
> hit rates. It performs particularly well in database and search traces, is 
> scan resistant, and as adds a very small time/space overhead to LRU.
> Secondarily, Guava's caches never obtained similar 
> [performance|https://github.com/ben-manes/caffeine/wiki/Benchmarks] to CLHM 
> due to some optimizations not being ported over. This change results in 
> faster reads and not creating garbage as a side-effect.



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