<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
		>
<channel>
	<title>Comments on: Replication++, Replication 2.0, Replication.Next</title>
	<atom:link href="http://ronaldbradford.com/blog/replication-replication-20-replicationnext-2008-04-10/feed/" rel="self" type="application/rss+xml" />
	<link>http://ronaldbradford.com/blog/replication-replication-20-replicationnext-2008-04-10/</link>
	<description>Expert times and information on MySQL</description>
	<lastBuildDate>Fri, 12 Mar 2010 22:45:29 -0400</lastBuildDate>
	<generator>http://wordpress.org/?v=2.8.4</generator>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
		<item>
		<title>By: Peter Zaitsev</title>
		<link>http://ronaldbradford.com/blog/replication-replication-20-replicationnext-2008-04-10/comment-page-1/#comment-341</link>
		<dc:creator>Peter Zaitsev</dc:creator>
		<pubDate>Sun, 13 Apr 2008 07:55:18 +0000</pubDate>
		<guid isPermaLink="false">http://ronaldbradford.com/blog/?p=1025#comment-341</guid>
		<description>I see you&#039;re focusing on  problem of replication being Async - of course as you&#039;re going to solve this problem,
but do not be mistaken - this is not the only problem which limits read scalability.  The data size is another one.

Say you had 10GB data and couple of 16GB slaves.   Now you got 100GB data and 10 times more reads. Will 20 Slaves handle it ?  Most likely not because you week 20 copies of same data on disk and in the cache...

Though it will surely be good combination with Sharding.</description>
		<content:encoded><![CDATA[<p>I see you&#8217;re focusing on  problem of replication being Async &#8211; of course as you&#8217;re going to solve this problem,<br />
but do not be mistaken &#8211; this is not the only problem which limits read scalability.  The data size is another one.</p>
<p>Say you had 10GB data and couple of 16GB slaves.   Now you got 100GB data and 10 times more reads. Will 20 Slaves handle it ?  Most likely not because you week 20 copies of same data on disk and in the cache&#8230;</p>
<p>Though it will surely be good combination with Sharding.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Ronald</title>
		<link>http://ronaldbradford.com/blog/replication-replication-20-replicationnext-2008-04-10/comment-page-1/#comment-340</link>
		<dc:creator>Ronald</dc:creator>
		<pubDate>Fri, 11 Apr 2008 06:58:47 +0000</pubDate>
		<guid isPermaLink="false">http://ronaldbradford.com/blog/?p=1025#comment-340</guid>
		<description>In &lt;a href=&quot;http://fschiettecatte.wordpress.com/2008/04/10/read-replication-with-mysql-part-deux/&quot; rel=&quot;nofollow&quot;&gt;Read replication with MySQL - part deux&lt;/a&gt;, &lt;b&gt;François Schiettecatte&lt;/b&gt; gives his views on caching and experiences in Memcache from his time at feedster.</description>
		<content:encoded><![CDATA[<p>In <a href="http://fschiettecatte.wordpress.com/2008/04/10/read-replication-with-mysql-part-deux/" rel="nofollow">Read replication with MySQL &#8211; part deux</a>, <b>François Schiettecatte</b> gives his views on caching and experiences in Memcache from his time at feedster.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Ronald</title>
		<link>http://ronaldbradford.com/blog/replication-replication-20-replicationnext-2008-04-10/comment-page-1/#comment-339</link>
		<dc:creator>Ronald</dc:creator>
		<pubDate>Fri, 11 Apr 2008 06:55:44 +0000</pubDate>
		<guid isPermaLink="false">http://ronaldbradford.com/blog/?p=1025#comment-339</guid>
		<description>&lt;b&gt;Greg Linden&lt;/b&gt; adds his views on the topic with emphasis on Partition at &lt;a href=&quot;http://glinden.blogspot.com/2008/04/replication-caching-and-partitioning.html&quot; rel=&quot;nofollow&quot;&gt;Replication, caching, and partitioning&lt;/a&gt;.</description>
		<content:encoded><![CDATA[<p><b>Greg Linden</b> adds his views on the topic with emphasis on Partition at <a href="http://glinden.blogspot.com/2008/04/replication-caching-and-partitioning.html" rel="nofollow">Replication, caching, and partitioning</a>.</p>
]]></content:encoded>
	</item>
</channel>
</rss>
