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https://issues.apache.org/jira/browse/HBASE-14708?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14999533#comment-14999533
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Elliott Clark commented on HBASE-14708:
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bq.Will the COW behave well with 30K+ regions?
Yeah it's pretty darn fast at that scale. By the end of the tests I had 100's
of thousands in the map.
> Use copy on write Map for region location cache
> -----------------------------------------------
>
> Key: HBASE-14708
> URL: https://issues.apache.org/jira/browse/HBASE-14708
> Project: HBase
> Issue Type: Improvement
> Components: Client
> Affects Versions: 1.1.2
> Reporter: Elliott Clark
> Assignee: Elliott Clark
> Priority: Critical
> Fix For: 2.0.0, 1.2.0, 1.3.0
>
> Attachments: HBASE-14708-v10.patch, HBASE-14708-v11.patch,
> HBASE-14708-v12.patch, HBASE-14708-v13.patch, HBASE-14708-v2.patch,
> HBASE-14708-v3.patch, HBASE-14708-v4.patch, HBASE-14708-v5.patch,
> HBASE-14708-v6.patch, HBASE-14708-v7.patch, HBASE-14708-v8.patch,
> HBASE-14708-v9.patch, HBASE-14708.patch, anotherbench.zip,
> location_cache_times.pdf, result.csv
>
>
> Internally a co-worker profiled their application that was talking to HBase.
> > 60% of the time was spent in locating a region. This was while the cluster
> was stable and no regions were moving.
> To figure out if there was a faster way to cache region location I wrote up a
> benchmark here: https://github.com/elliottneilclark/benchmark-hbase-cache
> This tries to simulate a heavy load on the location cache.
> * 24 different threads.
> * 2 Deleting location data
> * 2 Adding location data
> * Using floor to get the result.
> To repeat my work just run ./run.sh and it should produce a result.csv
> Results:
> ConcurrentSkiplistMap is a good middle ground. It's got equal speed for
> reading and writing.
> However most operations will not need to remove or add a region location.
> There will be potentially several orders of magnitude more reads for cached
> locations than there will be on clearing the cache.
> So I propose a copy on write tree map.
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