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Date: Fri, 6 May 2011 04:29:03 +0000 (UTC)
From: "stack (JIRA)" <jira@apache.org>
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Subject: [jira] [Resolved] (HBASE-3721) Speedup LoadIncrementalHFiles
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     [ https://issues.apache.org/jira/browse/HBASE-3721?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

stack resolved HBASE-3721.
--------------------------

       Resolution: Fixed
    Fix Version/s: 0.92.0
     Hadoop Flags: [Reviewed]

Committed to TRUNK.  Thanks for the patch Ted (Thanks Adam for testing).

> Speedup LoadIncrementalHFiles
> -----------------------------
>
>                 Key: HBASE-3721
>                 URL: https://issues.apache.org/jira/browse/HBASE-3721
>             Project: HBase
>          Issue Type: Improvement
>          Components: util
>            Reporter: Ted Yu
>            Assignee: Ted Yu
>             Fix For: 0.92.0
>
>         Attachments: 3721-v2.txt, 3721-v3.txt, 3721-v4.txt, 3721-v6.patch, 3721.txt, LoadIncrementalHFiles.java
>
>
> From Adam Phelps:
> from the logs it looks like <1% of the hfiles we're loading have to be split.  Looking at the code for LoadIncrementHFiles (hbase v0.90.1), I'm actually thinking our problem is that this code loads the hfiles sequentially.  Our largest table has over 2500 regions and the data being loaded is fairly well distributed across them, so there end up being around 2500 HFiles for each load period.  At 1-2 seconds per HFile that means the loading process is very time consuming.
> Currently server.bulkLoadHFile() is a blocking call.
> We can utilize ExecutorService to achieve better parallelism on multi-core computer.
> New configuration parameter "hbase.loadincremental.threads.max" is introduced which sets the maximum number of threads for parallel bulk load.

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