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Posted to dev@phoenix.apache.org by "Bin Shi (JIRA)" <ji...@apache.org> on 2019/02/01 21:36:00 UTC
[jira] [Updated] (PHOENIX-5069) Use asynchronous refresh to provide
non-blocking Phoenix Stats Client Cache
[ https://issues.apache.org/jira/browse/PHOENIX-5069?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Bin Shi updated PHOENIX-5069:
-----------------------------
Attachment: PHOENIX-5069-4.14.1-hbase-1.3-phoenix-stats.002.patch
> Use asynchronous refresh to provide non-blocking Phoenix Stats Client Cache
> ---------------------------------------------------------------------------
>
> Key: PHOENIX-5069
> URL: https://issues.apache.org/jira/browse/PHOENIX-5069
> Project: Phoenix
> Issue Type: Improvement
> Reporter: Bin Shi
> Assignee: Bin Shi
> Priority: Major
> Attachments: PHOENIX-5069-4.14.1-hbase-1.3-phoenix-stats.001.patch, PHOENIX-5069-4.14.1-hbase-1.3-phoenix-stats.002.patch, PHOENIX-5069.master.001.patch, PHOENIX-5069.master.002.patch, PHOENIX-5069.master.003.patch, PHOENIX-5069.patch
>
> Time Spent: 6h 40m
> Remaining Estimate: 0h
>
> The current Phoenix Stats Cache uses TTL based eviction policy. A cached entry will expire after a given amount of time (900s by default) passed since the entry's been created. This will lead to cache miss when Compiler/Optimizer fetches stats from cache at the next time. As you can see from the above graph, fetching stats from the cache is a blocking operation — when there is cache miss, it has a round trip over the wire to scan the SYSTEM.STATS Table and to get the latest stats info, rebuild the cache and finally return the stats to the Compiler/Optimizer. Whenever there is a cache miss, this blocking call causes significant performance penalty and see periodic spikes.
> *This Jira suggests to use asynchronous refresh mechanism to provide a non-blocking cache. For details, please see the linked design document below.*
> [~karanmehta93] [~twdsilva@gmail.com] [~dbwong] [~elserj] [~ankit@apache.org] [~sergey soldatov]
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