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From "Yu Li (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HBASE-14969) Add throughput controller for flush
Date Thu, 14 Jan 2016 17:37:40 GMT

    [ https://issues.apache.org/jira/browse/HBASE-14969?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15098476#comment-15098476

Yu Li commented on HBASE-14969:

[~tedyu] and [~Apache9],

Sorry for the lag, here are the testing results:

Test env (to simulate high flush pressure by ingesting 100GB data into a single RS cluster):
* 1 single RegionServer, 4 datanodes
* HBase version: commit c8b9754a5e, w/o and w/ patch here
* Test command: {{bin/hbase org.apache.hadoop.hbase.PerformanceEvaluation --nomapred --presplit=16
--rows=10485760 randomWrite 10}}

Overall time (Average of 10 threads), milliseconds:
* no-throttling: 2909600
* throttling: 2876955

Latency (Average of 10 threads), microseconds:

Notice that we've observed much higher disk utils causing bigger spike in our online cluster
during flush than the testing env, so I think this feature will be more useful on real environment.

> Add throughput controller for flush
> -----------------------------------
>                 Key: HBASE-14969
>                 URL: https://issues.apache.org/jira/browse/HBASE-14969
>             Project: HBase
>          Issue Type: Improvement
>    Affects Versions: 2.0.0
>            Reporter: Yu Li
>            Assignee: Yu Li
>         Attachments: HBASE-14969.patch, HBASE-14969_v2.patch
> In HBASE-8329 we added a throughput controller for compaction, to avoid spike caused
by huge IO pressure like network/disk overflow. However, even with this control on, we are
still observing disk utils near 100%, and by analysis we think this is caused by flush, especially
when we increase the setting of {{hbase.hstore.flusher.count}}
> In this JIRA, we propose to add throughput control feature for flush, as a supplement
of HBASE-8329 to better control IO pressure.

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