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From "Billy Pearson (JIRA)" <j...@apache.org>
Subject [jira] Commented: (HBASE-745) scaling of one regionserver, improving memory and cpu usage
Date Tue, 22 Jul 2008 01:10:31 GMT

    [ https://issues.apache.org/jira/browse/HBASE-745?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12615487#action_12615487
] 

Billy Pearson commented on HBASE-745:
-------------------------------------

now that I thank about it I thank I tryed a older version of trunk my mistake it applys to
trunk.
When do you thank we can see this committed?

> scaling of one regionserver, improving memory and cpu usage
> -----------------------------------------------------------
>
>                 Key: HBASE-745
>                 URL: https://issues.apache.org/jira/browse/HBASE-745
>             Project: Hadoop HBase
>          Issue Type: Improvement
>          Components: regionserver
>    Affects Versions: 0.1.3, 0.2.0
>         Environment: hadoop 0.17.1
>            Reporter: LN
>            Priority: Minor
>         Attachments: hbase-745-for-0.2.patch, HBASE-745.compact.patch
>
>
> after weeks testing hbase 0.1.3 and hadoop(0.16.4, 0.17.1), i found there are many works
to do,  before a particular regionserver can handle data about 100G, or even more. i'd share
my opions here with stack, and other developers.
> first, the easiest way improving scalability of regionserver is upgrading hardware, use
64bit os and 8G memory for the regionserver process, and speed up disk io. 
> besides hardware, following are software bottlenecks i found in regionserver:
> 1. as data increasing, compaction was eating cpu(with io) times, the total compaction
time is basicly linear relative to whole data size, even worse, sometimes square relavtive
to that size.
> 2. memory usage are depends on opened mapfiles
> 3. network connection are depends on opened mapfiles, see HADOOP-2341 and HBASE-24. 

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