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https://issues.apache.org/jira/browse/HBASE-5778?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13255203#comment-13255203
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Jean-Daniel Cryans commented on HBASE-5778:
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bq. The files need to be read from the beginning to build up the dictionary.
Aren't the dictionary entries spread out in the log? If so, it should be
possible to slowly build it up as we tail the log (that's another feature
that's broken, tailing).
Then if you replay so WAL from another region server, for the first log you'd
read from the beginning in order to build up the dict then when you hit the
offset that's in ZK you start shipping.
> Turn on WAL compression by default
> ----------------------------------
>
> Key: HBASE-5778
> URL: https://issues.apache.org/jira/browse/HBASE-5778
> Project: HBase
> Issue Type: Improvement
> Reporter: Jean-Daniel Cryans
> Assignee: Lars Hofhansl
> Priority: Blocker
> Fix For: 0.96.0, 0.94.1
>
> Attachments: 5778-addendum.txt, 5778.addendum, HBASE-5778.patch
>
>
> I ran some tests to verify if WAL compression should be turned on by default.
> For a use case where it's not very useful (values two order of magnitude
> bigger than the keys), the insert time wasn't different and the CPU usage 15%
> higher (150% CPU usage VS 130% when not compressing the WAL).
> When values are smaller than the keys, I saw a 38% improvement for the insert
> run time and CPU usage was 33% higher (600% CPU usage VS 450%). I'm not sure
> WAL compression accounts for all the additional CPU usage, it might just be
> that we're able to insert faster and we spend more time in the MemStore per
> second (because our MemStores are bad when they contain tens of thousands of
> values).
> Those are two extremes, but it shows that for the price of some CPU we can
> save a lot. My machines have 2 quads with HT, so I still had a lot of idle
> CPUs.
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