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From "Aaron Kimball (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HADOOP-7206) Integrate Snappy compression
Date Wed, 23 Mar 2011 18:03:06 GMT

    [ https://issues.apache.org/jira/browse/HADOOP-7206?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13010260#comment-13010260
] 

Aaron Kimball commented on HADOOP-7206:
---------------------------------------

+1 on modular separation. Forcing folks to upgrade an entire cluster to allow them to use
a compression library in their client MR programs seems like poor design. Compression is pluggable
in Hadoop for a reason.

> Integrate Snappy compression
> ----------------------------
>
>                 Key: HADOOP-7206
>                 URL: https://issues.apache.org/jira/browse/HADOOP-7206
>             Project: Hadoop Common
>          Issue Type: New Feature
>            Reporter: Eli Collins
>
> Google release Zippy as an open source (APLv2) project called Snappy (http://code.google.com/p/snappy).
This tracks integrating it into Hadoop.
> {quote}
> 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.
> {quote}

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