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From "Nicholas Telford (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HBASE-3691) Add compressor support for 'snappy', google's compressor
Date Thu, 05 May 2011 11:02:03 GMT

     [ https://issues.apache.org/jira/browse/HBASE-3691?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel

Nicholas Telford updated HBASE-3691:

    Release Note: Added support for Google's Snappy compression codec.
          Status: Patch Available  (was: Open)

As far as I can tell this is all that's required in Hbase to add support for Snappy. Since
it's an optional runtime dependency, and we can guarantee the class name (SnappyCodec) and
it's interface (CompressionCodec) we're not actually blocked by the addition of the CompressionCodec
itself (HADOOP-7206).

I've tested this against the preliminary support for Snappy in HADOOP-7206, as far as I can
tell they're simply waiting on some licensing constraints to be resolved (which doesn't affect
this patch).

> Add compressor support for 'snappy', google's compressor
> --------------------------------------------------------
>                 Key: HBASE-3691
>                 URL: https://issues.apache.org/jira/browse/HBASE-3691
>             Project: HBase
>          Issue Type: Task
>            Reporter: stack
>            Priority: Critical
>             Fix For: 0.92.0
>         Attachments: hbase-snappy-3691-trunk.patch
> http://code.google.com/p/snappy/ is apache licensed.
> bq. Snappy is a compression/decompression library. It does not aim for maximum compression,
or compatibility with any other compression library; instead, it aims for very high speeds
and reasonable compression. For instance, compared to the fastest mode of zlib, Snappy is
an order of magnitude faster for most inputs, but the resulting compressed files are anywhere
from 20% to 100% bigger. On a single core of a Core i7 processor in 64-bit mode, Snappy compresses
at about 250 MB/sec or more and decompresses at about 500 MB/sec or more.
> bq. Snappy is widely used inside Google, in everything from BigTable and MapReduce to
our internal RPC systems. (Snappy has previously been referred to as "Zippy" in some presentations
and the likes.)
> Lets get it in.

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