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	<title>Comments on: Hadoop at Twitter (part 1): Splittable LZO Compression</title>
	<atom:link href="http://www.cloudera.com/blog/2009/11/hadoop-at-twitter-part-1-splittable-lzo-compression/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.cloudera.com/blog/2009/11/hadoop-at-twitter-part-1-splittable-lzo-compression/</link>
	<description>Hadoop and Cloudera&#039;s Products and Services</description>
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		<title>By: hadoop uncompress / process gzip &#124; Active Intelligence</title>
		<link>http://www.cloudera.com/blog/2009/11/hadoop-at-twitter-part-1-splittable-lzo-compression/comment-page-1/#comment-16408</link>
		<dc:creator>hadoop uncompress / process gzip &#124; Active Intelligence</dc:creator>
		<pubDate>Thu, 06 Oct 2011 06:46:09 +0000</pubDate>
		<guid isPermaLink="false">http://www.cloudera.com/blog/?p=1576#comment-16408</guid>
		<description>[...] Hadoop at Twitter (part 1): Splittable&#8230;&#160;-&#160;cloudera.com [...]</description>
		<content:encoded><![CDATA[<p>[...] Hadoop at Twitter (part 1): Splittable&#8230;&#160;-&#160;cloudera.com [...]</p>
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	<item>
		<title>By: Hadoop Compression &#150; The Elephant That&#146;s Not In The Room &#124; CloudTimes</title>
		<link>http://www.cloudera.com/blog/2009/11/hadoop-at-twitter-part-1-splittable-lzo-compression/comment-page-1/#comment-16021</link>
		<dc:creator>Hadoop Compression &#150; The Elephant That&#146;s Not In The Room &#124; CloudTimes</dc:creator>
		<pubDate>Tue, 24 May 2011 20:10:17 +0000</pubDate>
		<guid isPermaLink="false">http://www.cloudera.com/blog/?p=1576#comment-16021</guid>
		<description>[...] Gzip (see Amazon AWS&#146; guide to Hadoop compression here) and LZO (see the blog post by Matt Massie back in 2009 about using LZO with Hadoop at Twitter) to reduce the amount of disk required. As we know binary compression has its limits, and comes [...]</description>
		<content:encoded><![CDATA[<p>[...] Gzip (see Amazon AWS&#8217; guide to Hadoop compression here) and LZO (see the blog post by Matt Massie back in 2009 about using LZO with Hadoop at Twitter) to reduce the amount of disk required. As we know binary compression has its limits, and comes [...]</p>
]]></content:encoded>
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	<item>
		<title>By: NerdyNick Blog &#124; Some place on the Internet thats full of some random shit</title>
		<link>http://www.cloudera.com/blog/2009/11/hadoop-at-twitter-part-1-splittable-lzo-compression/comment-page-1/#comment-15992</link>
		<dc:creator>NerdyNick Blog &#124; Some place on the Internet thats full of some random shit</dc:creator>
		<pubDate>Sun, 15 May 2011 02:52:28 +0000</pubDate>
		<guid isPermaLink="false">http://www.cloudera.com/blog/?p=1576#comment-15992</guid>
		<description>[...] into chunks. Allowing for a much improved Map phase. You can read more on LZO with this great article from [...]</description>
		<content:encoded><![CDATA[<p>[...] into chunks. Allowing for a much improved Map phase. You can read more on LZO with this great article from [...]</p>
]]></content:encoded>
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	<item>
		<title>By: Ravi</title>
		<link>http://www.cloudera.com/blog/2009/11/hadoop-at-twitter-part-1-splittable-lzo-compression/comment-page-1/#comment-14939</link>
		<dc:creator>Ravi</dc:creator>
		<pubDate>Mon, 03 Jan 2011 10:46:33 +0000</pubDate>
		<guid isPermaLink="false">http://www.cloudera.com/blog/?p=1576#comment-14939</guid>
		<description>How do we test it whether LZO compression/decompression is correctly working or not.</description>
		<content:encoded><![CDATA[<p>How do we test it whether LZO compression/decompression is correctly working or not.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: kailashbuki</title>
		<link>http://www.cloudera.com/blog/2009/11/hadoop-at-twitter-part-1-splittable-lzo-compression/comment-page-1/#comment-14852</link>
		<dc:creator>kailashbuki</dc:creator>
		<pubDate>Tue, 21 Dec 2010 05:28:48 +0000</pubDate>
		<guid isPermaLink="false">http://www.cloudera.com/blog/?p=1576#comment-14852</guid>
		<description>Thanks for sharing your ideas!!!</description>
		<content:encoded><![CDATA[<p>Thanks for sharing your ideas!!!</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: CentOS?Hadoop-lzo?????</title>
		<link>http://www.cloudera.com/blog/2009/11/hadoop-at-twitter-part-1-splittable-lzo-compression/comment-page-1/#comment-12858</link>
		<dc:creator>CentOS?Hadoop-lzo?????</dc:creator>
		<pubDate>Fri, 09 Jul 2010 13:34:10 +0000</pubDate>
		<guid isPermaLink="false">http://www.cloudera.com/blog/?p=1576#comment-12858</guid>
		<description>[...] cloudera??????????????????? code.google.com/p/hadoop-gpl-compression???????Twitter??????????????????? http://github.com/kevinweil/hadoop-lzo [...]</description>
		<content:encoded><![CDATA[<p>[...] cloudera??????????????????? code.google.com/p/hadoop-gpl-compression???????Twitter??????????????????? <a href="http://github.com/kevinweil/hadoop-lzo" rel="nofollow">http://github.com/kevinweil/hadoop-lzo</a> [...]</p>
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	<item>
		<title>By: Lekhnath</title>
		<link>http://www.cloudera.com/blog/2009/11/hadoop-at-twitter-part-1-splittable-lzo-compression/comment-page-1/#comment-12843</link>
		<dc:creator>Lekhnath</dc:creator>
		<pubDate>Wed, 07 Jul 2010 12:34:58 +0000</pubDate>
		<guid isPermaLink="false">http://www.cloudera.com/blog/?p=1576#comment-12843</guid>
		<description>Great work! Will love to test it</description>
		<content:encoded><![CDATA[<p>Great work! Will love to test it</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Les contributions des entreprises et l'open source dans le contexte de NoSQL - Philippe Scoffoni</title>
		<link>http://www.cloudera.com/blog/2009/11/hadoop-at-twitter-part-1-splittable-lzo-compression/comment-page-1/#comment-11783</link>
		<dc:creator>Les contributions des entreprises et l'open source dans le contexte de NoSQL - Philippe Scoffoni</dc:creator>
		<pubDate>Tue, 27 Apr 2010 22:25:34 +0000</pubDate>
		<guid isPermaLink="false">http://www.cloudera.com/blog/?p=1576#comment-11783</guid>
		<description>[...] Kevin a r&#233;cemment &#171;&#160;twitt&#233;&#160;&#187; &#224; propos de Hadoop-LZO, un projet sur lequel Twitter travaille avec Cloudera et [...]</description>
		<content:encoded><![CDATA[<p>[...] Kevin a r&#233;cemment &laquo;&nbsp;twitt&#233;&nbsp;&raquo; &#224; propos de Hadoop-LZO, un projet sur lequel Twitter travaille avec Cloudera et [...]</p>
]]></content:encoded>
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	<item>
		<title>By: Hadoop Digest, March 2010 &#171; Sematext Blog</title>
		<link>http://www.cloudera.com/blog/2009/11/hadoop-at-twitter-part-1-splittable-lzo-compression/comment-page-1/#comment-11608</link>
		<dc:creator>Hadoop Digest, March 2010 &#171; Sematext Blog</dc:creator>
		<pubDate>Mon, 29 Mar 2010 18:06:38 +0000</pubDate>
		<guid isPermaLink="false">http://www.cloudera.com/blog/?p=1576#comment-11608</guid>
		<description>[...] How to configure and use LZO compression? Take a look at http://www.cloudera.com/blog/2009/11/hadoop-at-twitter-part-1-splittable-lzo-compression/. [...]</description>
		<content:encoded><![CDATA[<p>[...] How to configure and use LZO compression? Take a look at <a href="http://www.cloudera.com/blog/2009/11/hadoop-at-twitter-part-1-splittable-lzo-compression/" rel="nofollow">http://www.cloudera.com/blog/2009/11/hadoop-at-twitter-part-1-splittable-lzo-compression/</a>. [...]</p>
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	<item>
		<title>By: schubertzhang</title>
		<link>http://www.cloudera.com/blog/2009/11/hadoop-at-twitter-part-1-splittable-lzo-compression/comment-page-1/#comment-11316</link>
		<dc:creator>schubertzhang</dc:creator>
		<pubDate>Fri, 12 Mar 2010 03:08:20 +0000</pubDate>
		<guid isPermaLink="false">http://www.cloudera.com/blog/?p=1576#comment-11316</guid>
		<description>When using such spliting method, how do you deal with the record/row boundary?

A record/row  may be truncated into two adjacent compression blocks. If the tow adjacent blocks are logically splited into different Mappers, it is difficult to determine the incomplete record/row and combine the to parts.</description>
		<content:encoded><![CDATA[<p>When using such spliting method, how do you deal with the record/row boundary?</p>
<p>A record/row  may be truncated into two adjacent compression blocks. If the tow adjacent blocks are logically splited into different Mappers, it is difficult to determine the incomplete record/row and combine the to parts.</p>
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