[redis.git] / doc / Speed.html


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<b>Speed: Contents</b><br>&nbsp;&nbsp;<a href="#Speed (ROUGH DRAFT)">Speed (ROUGH DRAFT)</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#TODO">TODO</a>
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                <h1 class="wikiname">Speed</h1>

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<h1><a name="Speed (ROUGH DRAFT)">Speed (ROUGH DRAFT)</a></h1><h2><a name="TODO">TODO</a></h2><ul><li> Written in ANSI C</li><li> Pipelining</li><li> MultiBulkCommands</li><li> epoll &gt;= 1.1</li><li> Benchmarks</li></ul>
Redis takes the whole dataset in memory and <a href="Persistence.html">writes asynchronously to disk</a> in order to be very fast, you have the best of both worlds: hyper-speed and <a href="Persistence.html">persistence</a> for your data.<br/><br/>Establishing a new connection to a Redis Server is <i>simple</i> and <i>fast</i> nothing more that a TCP three way handshake. There is no authentication or other handshake involved (<a href="http://groups.google.com/group/redis-db/browse_thread/thread/1adb93f0b6a1460a" target="_blank">Google Group: Can we use connection pool in Redis?</a>) You can read more about the way Redis clients communicate with servers in the <a href="ProtocolSpecification.html">Protocol Specification</a>.<br/><br/>On most commodity hardware it takes about 45 seconds to restore a 2 GB database, without fancy RAID. This can give you some kind of feeling about the order of magnitude of the time needed to load data when you restart the server, so restarting a server is fast too.<br/><br/>Also <a href="Replication.html">Replication</a> is fast, benchamarks will give you the the same order of magnitude a restart does (<a href="http://groups.google.com/group/redis-db/browse_thread/thread/3ab1c8b2126f1b8/29bdb6c5973f0388?lnk=gst&q=replication+#29bdb6c5973f0388" target="_blank">Google Group: Replication speed benchmak</a>)
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8fb13ce8	1
	2	<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01//EN">
	3	<html>
	4	<head>
	5	<link type="text/css" rel="stylesheet" href="style.css" />
	6	</head>
	7	<body>
	8	<div id="page">
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	10	<div id='header'>
	11	<a href="index.html">
	12	<img style="border:none" alt="Redis Documentation" src="redis.png">
	13	</a>
	14	</div>
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	16	<div id="pagecontent">
	17	<div class="index">
	18	<!-- This is a (PRE) block. Make sure it's left aligned or your toc title will be off. -->
	19	<b>Speed: Contents</b><br>  <a href="#Speed (ROUGH DRAFT)">Speed (ROUGH DRAFT)</a><br>    <a href="#TODO">TODO</a>
	20	</div>
	21
	22	<h1 class="wikiname">Speed</h1>
	23
	24	<div class="summary">
	25
	26	</div>
	27
	28	<div class="narrow">
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	30	<h1><a name="Speed (ROUGH DRAFT)">Speed (ROUGH DRAFT)</a></h1><h2><a name="TODO">TODO</a></h2><ul><li> Written in ANSI C</li><li> Pipelining</li><li> MultiBulkCommands</li><li> epoll >= 1.1</li><li> Benchmarks</li></ul>
	31	Redis takes the whole dataset in memory and <a href="Persistence.html">writes asynchronously to disk</a> in order to be very fast, you have the best of both worlds: hyper-speed and <a href="Persistence.html">persistence</a> for your data.<br/><br/>Establishing a new connection to a Redis Server is <i>simple</i> and <i>fast</i> nothing more that a TCP three way handshake. There is no authentication or other handshake involved (<a href="http://groups.google.com/group/redis-db/browse_thread/thread/1adb93f0b6a1460a" target="_blank">Google Group: Can we use connection pool in Redis?</a>) You can read more about the way Redis clients communicate with servers in the <a href="ProtocolSpecification.html">Protocol Specification</a>.<br/><br/>On most commodity hardware it takes about 45 seconds to restore a 2 GB database, without fancy RAID. This can give you some kind of feeling about the order of magnitude of the time needed to load data when you restart the server, so restarting a server is fast too.<br/><br/>Also <a href="Replication.html">Replication</a> is fast, benchamarks will give you the the same order of magnitude a restart does (<a href="http://groups.google.com/group/redis-db/browse_thread/thread/3ab1c8b2126f1b8/29bdb6c5973f0388?lnk=gst&q=replication+#29bdb6c5973f0388" target="_blank">Google Group: Replication speed benchmak</a>)
	32	</div>
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