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https://issues.apache.org/jira/browse/HBASE-3721?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13029694#comment-13029694
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Ted Yu commented on HBASE-3721:
-------------------------------
>From Adam:
I did a number of runs of loading a single set of HFiles with and without the
patch, and it does seem the patch improves the load speed. I'll need to run
more extensively to get accurate numbers, but with the patch I'm seeing ranges
from 3-7 minutes vs 5-11 without the patch.
> 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
> 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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