Commit 37be2765 authored by antirez's avatar antirez
Browse files

enable kqueue/kevent only for Mac OS X 10.6.x as it seems that 10.5.x has a...

enable kqueue/kevent only for Mac OS X 10.6.x as it seems that 10.5.x has a broken implementation of this syscalls.
parent 03a37888
......@@ -31,7 +31,7 @@
#define HAVE_EPOLL 1
#endif
#if defined(__APPLE__) || defined(__FreeBSD__) || defined(__OpenBSD__) || defined (__NetBSD__)
#if (defined(__APPLE__) && defined(MAC_OS_X_VERSION_10_6)) || defined(__FreeBSD__) || defined(__OpenBSD__) || defined (__NetBSD__)
#define HAVE_KQUEUE 1
#endif
......
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<b>AuthCommand: Contents</b><br>&nbsp;&nbsp;<a href="#AUTH _password_">AUTH _password_</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#Return value">Return value</a>
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<h1 class="wikiname">AuthCommand</h1>
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<h1><a name="AUTH _password_">AUTH _password_</a></h1><blockquote>Request for authentication in a password protected Redis server.A Redis server can be instructed to require a password before to allow clientsto issue commands. This is done using the <i>requirepass</i> directive in theRedis configuration file.</blockquote>
<blockquote>If the password given by the client is correct the server replies withan OK status code reply and starts accepting commands from the client.Otherwise an error is returned and the clients needs to try a new password.Note that for the high performance nature of Redis it is possible to trya lot of passwords in parallel in very short time, so make sure to generatea strong and very long password so that this attack is infeasible.</blockquote>
<h2><a name="Return value">Return value</a></h2><a href="ReplyTypes.html">Status code reply</a>
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<h1 class="wikiname">Benchmarks</h1>
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<h1><a name="How Fast is Redis?">How Fast is Redis?</a></h1>Redis includes the <code name="code" class="python">redis-benchmark</code> utility that simulates SETs/GETs done by N clients at the same time sending M total queries (it is similar to the Apache's <code name="code" class="python">ab</code> utility). Below you'll find the full output of the benchmark executed against a Linux box.<br/><br/><ul><li> The test was done with 50 simultaneous clients performing 100000 requests.</li><li> The value SET and GET is a 256 bytes string.</li><li> The Linux box is running <b>Linux 2.6</b>, it's <b>Xeon X3320 2.5Ghz</b>.</li><li> Text executed using the loopback interface (127.0.0.1).</li></ul>
Results: <b>about 110000 SETs per second, about 81000 GETs per second.</b><h1><a name="Latency percentiles">Latency percentiles</a></h1><pre class="codeblock python" name="code">
./redis-benchmark -n 100000
====== SET ======
100007 requests completed in 0.88 seconds
50 parallel clients
3 bytes payload
keep alive: 1
58.50% &lt;= 0 milliseconds
99.17% &lt;= 1 milliseconds
99.58% &lt;= 2 milliseconds
99.85% &lt;= 3 milliseconds
99.90% &lt;= 6 milliseconds
100.00% &lt;= 9 milliseconds
114293.71 requests per second
====== GET ======
100000 requests completed in 1.23 seconds
50 parallel clients
3 bytes payload
keep alive: 1
43.12% &lt;= 0 milliseconds
96.82% &lt;= 1 milliseconds
98.62% &lt;= 2 milliseconds
100.00% &lt;= 3 milliseconds
81234.77 requests per second
====== INCR ======
100018 requests completed in 1.46 seconds
50 parallel clients
3 bytes payload
keep alive: 1
32.32% &lt;= 0 milliseconds
96.67% &lt;= 1 milliseconds
99.14% &lt;= 2 milliseconds
99.83% &lt;= 3 milliseconds
99.88% &lt;= 4 milliseconds
99.89% &lt;= 5 milliseconds
99.96% &lt;= 9 milliseconds
100.00% &lt;= 18 milliseconds
68458.59 requests per second
====== LPUSH ======
100004 requests completed in 1.14 seconds
50 parallel clients
3 bytes payload
keep alive: 1
62.27% &lt;= 0 milliseconds
99.74% &lt;= 1 milliseconds
99.85% &lt;= 2 milliseconds
99.86% &lt;= 3 milliseconds
99.89% &lt;= 5 milliseconds
99.93% &lt;= 7 milliseconds
99.96% &lt;= 9 milliseconds
100.00% &lt;= 22 milliseconds
100.00% &lt;= 208 milliseconds
88109.25 requests per second
====== LPOP ======
100001 requests completed in 1.39 seconds
50 parallel clients
3 bytes payload
keep alive: 1
54.83% &lt;= 0 milliseconds
97.34% &lt;= 1 milliseconds
99.95% &lt;= 2 milliseconds
99.96% &lt;= 3 milliseconds
99.96% &lt;= 4 milliseconds
100.00% &lt;= 9 milliseconds
100.00% &lt;= 208 milliseconds
71994.96 requests per second
</pre>Notes: changing the payload from 256 to 1024 or 4096 bytes does not change the numbers significantly (but reply packets are glued together up to 1024 bytes so GETs may be slower with big payloads). The same for the number of clients, from 50 to 256 clients I got the same numbers. With only 10 clients it starts to get a bit slower.<br/><br/>You can expect different results from different boxes. For example a low profile box like <b>Intel core duo T5500 clocked at 1.66Ghz running Linux 2.6</b> will output the following:
<pre class="codeblock python python" name="code">
./redis-benchmark -q -n 100000
SET: 53684.38 requests per second
GET: 45497.73 requests per second
INCR: 39370.47 requests per second
LPUSH: 34803.41 requests per second
LPOP: 37367.20 requests per second
</pre>Another one using a 64 bit box, a Xeon L5420 clocked at 2.5 Ghz:<br/><br/><pre class="codeblock python python python" name="code">
./redis-benchmark -q -n 100000
PING: 111731.84 requests per second
SET: 108114.59 requests per second
GET: 98717.67 requests per second
INCR: 95241.91 requests per second
LPUSH: 104712.05 requests per second
LPOP: 93722.59 requests per second
</pre>
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<b>BgsaveCommand: Contents</b><br>&nbsp;&nbsp;<a href="#BGSAVE">BGSAVE</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#Return value">Return value</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#See also">See also</a>
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<h1 class="wikiname">BgsaveCommand</h1>
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<h1><a name="BGSAVE">BGSAVE</a></h1>
<blockquote>Save the DB in background. The OK code is immediately returned.Redis forks, the parent continues to server the clients, the childsaves the DB on disk then exit. A client my be able to check if theoperation succeeded using the <a href="LastsaveCommand.html">LASTSAVE</a> command.</blockquote>
<h2><a name="Return value">Return value</a></h2><a href="ReplyTypes.html">Status code reply</a><h2><a name="See also">See also</a></h2>
<ul><li> <a href="SaveCommand.html">SAVE</a></li><li> <a href="ShutdownCommand.html">SHUTDOWN</a></li></ul>
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<b>CommandReference: Contents</b><br>&nbsp;&nbsp;<a href="#Redis Command Reference">Redis Command Reference</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#Connection handling">Connection handling</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#Commands operating on string values">Commands operating on string values</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#Commands operating on the key space">Commands operating on the key space</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#Commands operating on lists">Commands operating on lists</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#Commands operating on sets">Commands operating on sets</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#Multiple databases handling commands">Multiple databases handling commands</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#Sorting">Sorting</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#Persistence control commands">Persistence control commands</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#Remote server control commands">Remote server control commands</a>
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<h1><a name="Redis Command Reference">Redis Command Reference</a></h1>Every command name links to a specific wiki page describing the behavior of the command.<h2><a name="Connection handling">Connection handling</a></h2><ul><li> <a href="QuitCommand.html">QUIT</a> <code name="code" class="python">close the connection</code></li><li> <a href="AuthCommand.html">AUTH</a> <code name="code" class="python">simple password authentication if enabled</code></li></ul>
<h2><a name="Commands operating on string values">Commands operating on string values</a></h2><ul><li> <a href="SetCommand.html">SET</a> <i>key</i> <i>value</i> <code name="code" class="python">set a key to a string value</code></li><li> <a href="GetCommand.html">GET</a> <i>key</i> <code name="code" class="python">return the string value of the key</code></li><li> <a href="GetsetCommand.html">GETSET</a> <i>key</i> <i>value</i> <code name="code" class="python">set a key to a string returning the old value of the key</code></li><li> <a href="MgetCommand.html">MGET</a> <i>key1</i> <i>key2</i> ... <i>keyN</i> <code name="code" class="python">multi-get, return the strings values of the keys</code></li><li> <a href="SetnxCommand.html">SETNX</a> <i>key</i> <i>value</i> <code name="code" class="python">set a key to a string value if the key does not exist</code></li><li> <a href="IncrCommand.html">INCR</a> <i>key</i> <code name="code" class="python">increment the integer value of key</code></li><li> <a href="IncrCommand.html">INCRBY</a> <i>key</i> <i>integer</i><code name="code" class="python"> increment the integer value of key by integer</code></li><li> <a href="IncrCommand.html">DECR</a> <i>key</i> <code name="code" class="python">decrement the integer value of key</code></li><li> <a href="IncrCommand.html">DECRBY</a> <i>key</i> <i>integer</i> <code name="code" class="python">decrement the integer value of key by integer</code></li><li> <a href="ExistsCommand.html">EXISTS</a> <i>key</i> <code name="code" class="python">test if a key exists</code></li><li> <a href="DelCommand.html">DEL</a> <i>key</i> <code name="code" class="python">delete a key</code></li><li> <a href="TypeCommand.html">TYPE</a> <i>key</i> <code name="code" class="python">return the type of the value stored at key</code></li></ul>
<h2><a name="Commands operating on the key space">Commands operating on the key space</a></h2><ul><li> <a href="KeysCommand.html">KEYS</a> <i>pattern</i> <code name="code" class="python">return all the keys matching a given pattern</code></li><li> <a href="RandomkeyCommand.html">RANDOMKEY</a> <code name="code" class="python">return a random key from the key space</code></li><li> <a href="RenameCommand.html">RENAME</a> <i>oldname</i> <i>newname</i> <code name="code" class="python">rename the old key in the new one, destroing the newname key if it already exists</code></li><li> <a href="RenamenxCommand.html">RENAMENX</a> <i>oldname</i> <i>newname</i> <code name="code" class="python">rename the old key in the new one, if the newname key does not already exist</code></li><li> <a href="DbsizeCommand.html">DBSIZE</a> <code name="code" class="python">return the number of keys in the current db</code></li><li> <a href="ExpireCommand.html">EXPIRE</a> <code name="code" class="python">set a time to live in seconds on a key</code></li><li> <a href="TtlCommand.html">TTL</a> <code name="code" class="python">get the time to live in seconds of a key</code></li></ul>
<h2><a name="Commands operating on lists">Commands operating on lists</a></h2><ul><li> <a href="RpushCommand.html">RPUSH</a> <i>key</i> <i>value</i> <code name="code" class="python">Append an element to the tail of the List value at key</code></li><li> <a href="RpushCommand.html">LPUSH</a> <i>key</i> <i>value</i> <code name="code" class="python">Append an element to the head of the List value at key</code></li><li> <a href="LlenCommand.html">LLEN</a> <i>key</i> <code name="code" class="python">Return the length of the List value at key</code></li><li> <a href="LrangeCommand.html">LRANGE</a> <i>key</i> <i>start</i> <i>end</i> <code name="code" class="python">Return a range of elements from the List at key</code></li><li> <a href="LtrimCommand.html">LTRIM</a> <i>key</i> <i>start</i> <i>end</i> <code name="code" class="python">Trim the list at key to the specified range of elements</code></li><li> <a href="LindexCommand.html">LINDEX</a> <i>key</i> <i>index</i> <code name="code" class="python">Return the element at index position from the List at key</code></li><li> <a href="LsetCommand.html">LSET</a> <i>key</i> <i>index</i> <i>value</i> <code name="code" class="python">Set a new value as the element at index position of the List at key</code></li><li> <a href="LremCommand.html">LREM</a> <i>key</i> <i>count</i> <i>value</i> <code name="code" class="python">Remove the first-N, last-N, or all the elements matching value from the List at key</code></li><li> <a href="LpopCommand.html">LPOP</a> <i>key</i> <code name="code" class="python">Return and remove (atomically) the first element of the List at key</code></li><li> <a href="LpopCommand.html">RPOP</a> <i>key</i> <code name="code" class="python">Return and remove (atomically) the last element of the List at key</code></li></ul>
<h2><a name="Commands operating on sets">Commands operating on sets</a></h2><ul><li> <a href="SaddCommand.html">SADD</a> <i>key</i> <i>member</i> <code name="code" class="python">Add the specified member to the Set value at key</code></li><li> <a href="SremCommand.html">SREM</a> <i>key</i> <i>member</i> <code name="code" class="python">Remove the specified member from the Set value at key</code></li><li> <a href="SpopCommand.html">SPOP</a> <i>key</i> <code name="code" class="python">Remove and return (pop) a random element from the Set value at key</code></li><li> <a href="SmoveCommand.html">SMOVE</a> <i>srckey</i> <i>dstkey</i> <i>member</i> <code name="code" class="python">Move the specified member from one Set to another atomically</code></li><li> <a href="ScardCommand.html">SCARD</a> <i>key</i> <code name="code" class="python">Return the number of elements (the cardinality) of the Set at key</code></li><li> <a href="SismemberCommand.html">SISMEMBER</a> <i>key</i> <i>member</i> <code name="code" class="python">Test if the specified value is a member of the Set at key</code></li><li> <a href="SinterCommand.html">SINTER</a> <i>key1</i> <i>key2</i> ... <i>keyN</i> <code name="code" class="python">Return the intersection between the Sets stored at key1, key2, ..., keyN</code></li><li> <a href="SinterstoreCommand.html">SINTERSTORE</a> <i>dstkey</i> <i>key1</i> <i>key2</i> ... <i>keyN</i> <code name="code" class="python">Compute the intersection between the Sets stored at key1, key2, ..., keyN, and store the resulting Set at dstkey</code></li><li> <a href="SunionCommand.html">SUNION</a> <i>key1</i> <i>key2</i> ... <i>keyN</i> <code name="code" class="python">Return the union between the Sets stored at key1, key2, ..., keyN</code></li><li> <a href="SunionstoreCommand.html">SUNIONSTORE</a> <i>dstkey</i> <i>key1</i> <i>key2</i> ... <i>keyN</i> <code name="code" class="python">Compute the union between the Sets stored at key1, key2, ..., keyN, and store the resulting Set at dstkey</code></li><li> <a href="SdiffCommand.html">SDIFF</a> <i>key1</i> <i>key2</i> ... <i>keyN</i> <code name="code" class="python">Return the difference between the Set stored at key1 and all the Sets key2, ..., keyN</code></li><li> <a href="SdiffstoreCommand.html">SDIFFSTORE</a> <i>dstkey</i> <i>key1</i> <i>key2</i> ... <i>keyN</i> <code name="code" class="python">Compute the difference between the Set key1 and all the Sets key2, ..., keyN, and store the resulting Set at dstkey</code></li><li> <a href="SmembersCommand.html">SMEMBERS</a> <i>key</i> <code name="code" class="python">Return all the members of the Set value at key</code></li></ul>
<h2><a name="Multiple databases handling commands">Multiple databases handling commands</a></h2><ul><li> <a href="SelectCommand.html">SELECT</a> <i>index</i> <code name="code" class="python">Select the DB having the specified index</code></li><li> <a href="MoveCommand.html">MOVE</a> <i>key</i> <i>dbindex</i> <code name="code" class="python">Move the key from the currently selected DB to the DB having as index dbindex</code></li><li> <a href="FlushdbCommand.html">FLUSHDB</a> <code name="code" class="python">Remove all the keys of the currently selected DB</code></li><li> <a href="FlushallCommand.html">FLUSHALL</a> <code name="code" class="python">Remove all the keys from all the databases</code></li></ul>
<h2><a name="Sorting">Sorting</a></h2><ul><li> <a href="SortCommand.html">SORT</a> <i>key</i> BY <i>pattern</i> LIMIT <i>start</i> <i>end</i> GET <i>pattern</i> ASC|DESC ALPHA <code name="code" class="python">Sort a Set or a List accordingly to the specified parameters</code></li></ul>
<h2><a name="Persistence control commands">Persistence control commands</a></h2><ul><li> <a href="SaveCommand.html">SAVE</a> <code name="code" class="python">Synchronously save the DB on disk</code></li><li> <a href="BgsaveCommand.html">BGSAVE</a> <code name="code" class="python">Asynchronously save the DB on disk</code></li><li> <a href="LastsaveCommand.html">LASTSAVE</a> <code name="code" class="python">Return the UNIX time stamp of the last successfully saving of the dataset on disk</code></li><li> <a href="ShutdownCommand.html">SHUTDOWN</a> <code name="code" class="python">Synchronously save the DB on disk, then shutdown the server</code></li></ul>
<h2><a name="Remote server control commands">Remote server control commands</a></h2><ul><li> <a href="InfoCommand.html">INFO</a> <code name="code" class="python">Provide information and statistics about the server</code></li><li> <a href="MonitorCommand.html">MONITOR</a> <code name="code" class="python">Dump all the received requests in real time</code></li><li> <a href="SlaveofCommand.html">SLAVEOF</a> <code name="code" class="python">Change the replication settings</code></li></ul>
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<b>Credits: Contents</b><br>&nbsp;&nbsp;<a href="#Credits">Credits</a>
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<h1 class="wikiname">Credits</h1>
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<h1><a name="Credits">Credits</a></h1><ul><li> The Redis server was designed and written by <a href="http://invece.org" target="_blank">Salvatore Sanfilippo (aka antirez)</a></li><li> <a href="http://brainspl.at/" target="_blank">Ezra Zygmuntowicz (aka ezmobius)</a> - Ruby client lib initial version and hacking</li><li> <a href="http://qix.it" target="_blank">Ludovico Magnocavallo (aka ludo)</a> - Python clinet lib</li><li> <a href="http://www.adroll.com/" target="_blank">Valentino Volonghi of Adroll</a> - Erlang client lib</li><li> <b>brettbender</b> - found and fixed a bug in sds.c that caused the server to crash at least on 64 bit systems, and anyway to be buggy since we used the same vararg thing against vsprintf without to call va_start and va_end every time.</li><li> <a href="http://www.rot13.org/~dpavlin" target="_blank">Dobrica Pavlinusic</a> - Perl client lib</li><li> Brian Hammond - AUTH command implementation, C++ client lib</li><li> <a href="http://www.clorophilla.net/" target="_blank">Daniele Alessandri</a> - Lua client lib</li><li> Corey Stup - C99 cleanups</li><li> Taylor Weibley - Ruby client improvements</li><li> Bob Potter - Rearrange redisObject struct to reduce memory usage in 64bit environments</li><li> Luca Guidi and Brian McKinney - Ruby client improvements</li><li> Aman Gupta - SDIFF / SDIFFSTORE, other Set operations improvements, ability to disable clients timeout.</li><li> Diego Rosario Brogna - Code and ideas about dumping backtrace on sigsegv and similar error conditions.</li></ul>
p.s. sorry to take this file in sync is hard in this early days. Please drop me an email if I forgot to add your name here!
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<b>DbsizeCommand: Contents</b><br>&nbsp;&nbsp;<a href="#DBSIZE">DBSIZE</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#Return value">Return value</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#See also">See also</a>
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<h1 class="wikiname">DbsizeCommand</h1>
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<h1><a name="DBSIZE">DBSIZE</a></h1><blockquote>Return the number of keys in the currently selected database.</blockquote>
<h2><a name="Return value">Return value</a></h2><a href="ReplyTypes.html">Integer reply</a><h2><a name="See also">See also</a></h2>
<ul><li> <a href="SelectCommand.html">SELECT</a></li><li> <a href="InfoCommand.html">INFO</a></li></ul>
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<b>DelCommand: Contents</b><br>&nbsp;&nbsp;<a href="#DEL _key_">DEL _key_</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#Return value">Return value</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#See also">See also</a>
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<h1 class="wikiname">DelCommand</h1>
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<h1><a name="DEL _key_">DEL _key_</a></h1>
<i>Time complexity: O(1)</i><blockquote>Remove the specified key. If the key does not existno operation is performed. The command always returns success.</blockquote>
<h2><a name="Return value">Return value</a></h2><a href="ReplyTypes.html">Integer reply</a>, specifically:<br/><br/><pre class="codeblock python" name="code">
1 if the key was removed
0 if the key does not exist
</pre><h2><a name="See also">See also</a></h2>
<ul><li> <a href="SetCommand.html">SET</a></li><li> <a href="GetCommand.html">GET</a></li><li> <a href="ExistsCommand.html">EXISTS</a></li><li> <a href="LdelCommand.html">LDEL</a></li></ul>
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<b>DesignPatterns: Contents</b>
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Use random keys instead of incremental keys in order to avoid a single-key that gets incremented by many servers. This can can't be distributed among servers.
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<b>ExistsCommand: Contents</b><br>&nbsp;&nbsp;<a href="#EXISTS _key_">EXISTS _key_</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#Return value">Return value</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#See also">See also</a>
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<h1 class="wikiname">ExistsCommand</h1>
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<h1><a name="EXISTS _key_">EXISTS _key_</a></h1>
<i>Time complexity: O(1)</i><blockquote>Test if the specified key exists. The command returns&quot;0&quot; if the key exists, otherwise &quot;1&quot; is returned.Note that even keys set with an empty string as value willreturn &quot;1&quot;.</blockquote>
<h2><a name="Return value">Return value</a></h2><a href="ReplyTypes.html">Integer reply</a>, specifically:<br/><br/><pre class="codeblock python" name="code">
1 if the key exists.
0 if the key does not exist.
</pre><h2><a name="See also">See also</a></h2>
<ul><li> <a href="SetnxCommand.html">SETNX</a> is a <code name="code" class="python">SET if not EXISTS</code> atomic operation.</li><li> <a href="SismemberCommand.html">SISMEMBER</a> test if an element is a member of a Set.</li></ul>
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<b>ExpireCommand: Contents</b><br>&nbsp;&nbsp;<a href="#Expire _key_ _seconds_">Expire _key_ _seconds_</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#How the expire is removed from a key">How the expire is removed from a key</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#Restrictions with write operations against volatile keys">Restrictions with write operations against volatile keys</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#Setting the timeout again on already volatile keys">Setting the timeout again on already volatile keys</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#Return value">Return value</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#See also">See also</a>
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<h1 class="wikiname">ExpireCommand</h1>
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<h1><a name="Expire _key_ _seconds_">Expire _key_ _seconds_</a></h1>
<i>Time complexity: O(1)</i><blockquote>Set a timeout on the specified key. After the timeout the key will beautomatically delete by the server. A key with an associated timeout issaid to be <i>volatile</i> in Redis terminology.</blockquote>
<blockquote>Voltile keys are stored on disk like the other keys, the timeout is persistenttoo like all the other aspects of the dataset. Saving a dataset containingthe dataset and stopping the server does not stop the flow of time as Redisregisters on disk when the key will no longer be available as Unix time, andnot the remaining seconds.</blockquote>
<h2><a name="How the expire is removed from a key">How the expire is removed from a key</a></h2><blockquote>When the key is set to a new value using the SET command, the INCR commandor any other command that modify the value stored at key the timeout isremoved from the key and the key becomes non volatile.</blockquote>
<h2><a name="Restrictions with write operations against volatile keys">Restrictions with write operations against volatile keys</a></h2><blockquote>Write operations like LPUSH, LSET and every other command that has theeffect of modifying the value stored at a volatile key have a special semantic:basically a volatile key is destroyed when it is target of a write operation.See for example the following usage pattern:</blockquote>
<pre class="codeblock python" name="code">
% ./redis-cli lpush mylist foobar /Users/antirez/hack/redis
OK
% ./redis-cli lpush mylist hello /Users/antirez/hack/redis
OK
% ./redis-cli expire mylist 10000 /Users/antirez/hack/redis
1
% ./redis-cli lpush mylist newelement
OK
% ./redis-cli lrange mylist 0 -1 /Users/antirez/hack/redis
1. newelement
</pre><blockquote>What happened here is that lpush against the key with a timeout set deletedthe key before to perform the operation. There is so a simple rule, writeoperations against volatile keys will destroy the key before to perform theoperation. Why Redis uses this behavior? In order to retain an importantproperty: a server that receives a given number of commands in the samesequence will end with the same dataset in memory. Without the delete-on-writesemantic what happens is that the state of the server depends on the timeof the commands to. This is not a desirable property in a distributed databasethat supports replication.</blockquote>
<h2><a name="Setting the timeout again on already volatile keys">Setting the timeout again on already volatile keys</a></h2><blockquote>Trying to call EXPIRE against a key that already has an associated timeoutwill not change the timeout of the key, but will just return 0. If insteadthe key does not have a timeout associated the timeout will be set and EXPIREwill return 1.</blockquote>
<h2><a name="Return value">Return value</a></h2><a href="ReplyTypes.html">Integer reply</a>, specifically:<br/><br/><pre class="codeblock python python" name="code">
1: the timeout was set.
0: the timeout was not set since the key already has an associated timeout, or the key does not exist.
</pre><h2><a name="See also">See also</a></h2>
<ul><li> <a href="InfoCommand.html">EXPIRE</a></li><li> <a href="TypeCommand.html">TYPE</a></li></ul>
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<b>FAQ: Contents</b><br>&nbsp;&nbsp;<a href="#Why I need Redis if there is already memcachedb, Tokyo Cabinet, ...?">Why I need Redis if there is already memcachedb, Tokyo Cabinet, ...?</a><br>&nbsp;&nbsp;<a href="#Isn't this key-value thing just hype?">Isn't this key-value thing just hype?</a><br>&nbsp;&nbsp;<a href="#Can I backup a Redis DB while the server is working?">Can I backup a Redis DB while the server is working?</a><br>&nbsp;&nbsp;<a href="#What's the Redis memory footprint?">What's the Redis memory footprint?</a><br>&nbsp;&nbsp;<a href="#I like Redis high level operations and features, but I don't like it takes everything in memory and I can't have a dataset larger the memory. Plans to change this?">I like Redis high level operations and features, but I don't like it takes everything in memory and I can't have a dataset larger the memory. Plans to change this?</a><br>&nbsp;&nbsp;<a href="#Ok but I absolutely need to have a DB larger than memory, still I need the Redis features">Ok but I absolutely need to have a DB larger than memory, still I need the Redis features</a><br>&nbsp;&nbsp;<a href="#I have an empty Redis server but INFO and logs are reporting megabytes of memory in use!">I have an empty Redis server but INFO and logs are reporting megabytes of memory in use!</a><br>&nbsp;&nbsp;<a href="#What happens if Redis runs out of memory?">What happens if Redis runs out of memory?</a><br>&nbsp;&nbsp;<a href="#How much time it takes to load a big database at server startup?">How much time it takes to load a big database at server startup?</a><br>&nbsp;&nbsp;<a href="#Background saving is failing with a fork() error under Linux even if I've a lot of free RAM!">Background saving is failing with a fork() error under Linux even if I've a lot of free RAM!</a><br>&nbsp;&nbsp;<a href="#Redis is single threaded, how can I exploit multiple CPU / cores?">Redis is single threaded, how can I exploit multiple CPU / cores?</a><br>&nbsp;&nbsp;<a href="#I'm using some form of key hashing for partitioning, but what about SORT BY?">I'm using some form of key hashing for partitioning, but what about SORT BY?</a><br>&nbsp;&nbsp;<a href="#What is the maximum number of keys a single Redis instance can hold?">What is the maximum number of keys a single Redis instance can hold?</a><br>&nbsp;&nbsp;<a href="#What Redis means actually?">What Redis means actually?</a><br>&nbsp;&nbsp;<a href="#Why did you started the Redis project?">Why did you started the Redis project?</a>
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<h1><a name="Why I need Redis if there is already memcachedb, Tokyo Cabinet, ...?">Why I need Redis if there is already memcachedb, Tokyo Cabinet, ...?</a></h1>Memcachedb is basically memcached done persistent. Redis is a different evolution
path in the key-value DBs, the idea is that the main advantages of key-value DBs
are retained even without a so severe loss of comfort of plain key-value DBs.
So Redis offers more features:<br/><br/><ul><li> Keys can store different data types, not just strings. Notably Lists and Sets. For example if you want to use Redis as a log storage system for different computers every computer can just <code name="code" class="python">RPUSH data to the computer_ID key</code>. Don't want to save more than 1000 log lines per computer? Just issue a <code name="code" class="python">LTRIM computer_ID 0 999</code> command to trim the list after every push.</li></ul>
<ul><li> Another example is about Sets. Imagine to build a social news site like <a href="http://reddit.com" target="_blank">Reddit</a>. Every time a user upvote a given news you can just add to the news_ID_upmods key holding a value of type SET the id of the user that did the upmodding. Sets can also be used to index things. Every key can be a tag holding a SET with the IDs of all the objects associated to this tag. Using Redis set intersection you obtain the list of IDs having all this tags at the same time.</li></ul>
<ul><li> We wrote a <a href="http://retwis.antirez.com" target="_blank">simple Twitter Clone</a> using just Redis as database. Download the source code from the download section and imagine to write it with a plain key-value DB without support for lists and sets... it's <b>much</b> harder.</li></ul>
<ul><li> Multiple DBs. Using the SELECT command the client can select different datasets. This is useful because Redis provides a MOVE atomic primitive that moves a key form a DB to another one, if the target DB already contains such a key it returns an error: this basically means a way to perform locking in distributed processing.</li></ul>
<ul><li> <b>So what is Redis really about?</b> The User interface with the programmer. Redis aims to export to the programmer the right tools to model a wide range of problems. <b>Sets, Lists with O(1) push operation, lrange and ltrim, server-side fast intersection between sets, are primitives that allow to model complex problems with a key value database</b>.</li></ul>
<h1><a name="Isn't this key-value thing just hype?">Isn't this key-value thing just hype?</a></h1>I imagine key-value DBs, in the short term future, to be used like you use memory in a program, with lists, hashes, and so on. With Redis it's like this, but this special kind of memory containing your data structures is shared, atomic, persistent.<br/><br/>When we write code it is obvious, when we take data in memory, to use the most sensible data structure for the work, right? Incredibly when data is put inside a relational DB this is no longer true, and we create an absurd data model even if our need is to put data and get this data back in the same order we put it inside (an ORDER BY is required when the data should be already sorted. Strange, dont' you think?).<br/><br/>Key-value DBs bring this back at home, to create sensible data models and use the right data structures for the problem we are trying to solve.<h1><a name="Can I backup a Redis DB while the server is working?">Can I backup a Redis DB while the server is working?</a></h1>Yes you can. When Redis saves the DB it actually creates a temp file, then rename(2) that temp file name to the destination file name. So even while the server is working it is safe to save the database file just with the <i>cp</i> unix command. Note that you can use master-slave replication in order to have redundancy of data, but if all you need is backups, cp or scp will do the work pretty well.<h1><a name="What's the Redis memory footprint?">What's the Redis memory footprint?</a></h1>Worst case scenario: 1 Million keys with the key being the natural numbers from 0 to 999999 and the string &quot;Hello World&quot; as value use 100MB on my Intel macbook (32bit). Note that the same data stored linearly in an unique string takes something like 16MB, this is the norm because with small keys and values there is a lot of overhead. Memcached will perform similarly.<br/><br/>With large keys/values the ratio is much better of course.<br/><br/>64 bit systems will use much more memory than 32 bit systems to store the same keys, especially if the keys and values are small, this is because pointers takes 8 bytes in 64 bit systems. But of course the advantage is that you can have a lot of memory in 64 bit systems, so to run large Redis servers a 64 bit system is more or less required.<h1><a name="I like Redis high level operations and features, but I don't like it takes everything in memory and I can't have a dataset larger the memory. Plans to change this?">I like Redis high level operations and features, but I don't like it takes everything in memory and I can't have a dataset larger the memory. Plans to change this?</a></h1>The whole key-value hype started for a reason: performances. Redis takes the whole dataset in memory and writes asynchronously on disk in order to be very fast, you have the best of both worlds: hyper-speed and persistence of data, but the price to pay is exactly this, that the dataset must fit on your computers RAM.<br/><br/>If the data is larger then memory, and this data is stored on disk, what happens is that the bottleneck of the disk I/O speed will start to ruin the performances. Maybe not in benchmarks, but once you have real load from multiple clients with distributed key accesses the data must come from disk, and the disk is damn slow. Not only, but Redis supports higher level data structures than the plain values. To implement this things on disk is even slower.<br/><br/>Redis will always continue to hold the whole dataset in memory because this days scalability requires to use RAM as storage media, and RAM is getting cheaper and cheaper. Today it is common for an entry level server to have 16 GB of RAM! And in the 64-bit era there are no longer limits to the amount of RAM you can have in theory.<h1><a name="Ok but I absolutely need to have a DB larger than memory, still I need the Redis features">Ok but I absolutely need to have a DB larger than memory, still I need the Redis features</a></h1>You may try to load a dataset larger than your memory in Redis and see what happens, basically if you are using a modern Operating System, and you have a lot of data in the DB that is rarely accessed, the OS's virtual memory implementation will try to swap rarely used pages of memory on the disk, to only recall this pages when they are needed. If you have many large values rarely used this will work. If your DB is big because you have tons of little values accessed at random without a specific pattern this will not work (at low level a page is usually 4096 bytes, and you can have different keys/values stored at a single page. The OS can't swap this page on disk if there are even few keys used frequently).<br/><br/>Another possible solution is to use both MySQL and Redis at the same time, basically take the state on Redis, and all the things that get accessed very frequently: user auth tokens, Redis Lists with chronologically ordered IDs of the last N-comments, N-posts, and so on. Then use MySQL as a simple storage engine for larger data, that is just create a table with an auto-incrementing ID as primary key and a large BLOB field as data field. Access MySQL data only by primary key (the ID). The application will run the high traffic queries against Redis but when there is to take the big data will ask MySQL for specific resources IDs.<h1><a name="I have an empty Redis server but INFO and logs are reporting megabytes of memory in use!">I have an empty Redis server but INFO and logs are reporting megabytes of memory in use!</a></h1>This may happen and it's prefectly ok. Redis objects are small C structures allocated and freed a lot of times. This costs a lot of CPU so instead of being freed, released objects are taken into a free list and reused when needed. This memory is taken exactly by this free objects ready to be reused.<h1><a name="What happens if Redis runs out of memory?">What happens if Redis runs out of memory?</a></h1>With modern operating systems malloc() returning NULL is not common, usually the server will start swapping and Redis performances will be disastrous so you'll know it's time to use more Redis servers or get more RAM.<br/><br/>However it is planned to add a configuration directive to tell Redis to stop accepting queries but instead to SAVE the latest data and quit if it is using more than a given amount of memory. Also the new INFO command (work in progress in this days) will report the amount of memory Redis is using so you can write scripts that monitor your Redis servers checking for critical conditions.<br/><br/>Update: redis SVN is able to know how much memory it is using and report it via the <a href="InfoCommand.html">INFO</a> command.<h1><a name="How much time it takes to load a big database at server startup?">How much time it takes to load a big database at server startup?</a></h1>Just an example on normal hardware: It takes about 45 seconds to restore a 2 GB database on a fairly standard system, no 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.<h1><a name="Background saving is failing with a fork() error under Linux even if I've a lot of free RAM!">Background saving is failing with a fork() error under Linux even if I've a lot of free RAM!</a></h1>Short answer: <code name="code" class="python">echo 1 &gt; /proc/sys/vm/overcommit_memory</code> :)<br/><br/>And now the long one:<br/><br/>Redis background saving schema relies on the copy-on-write semantic of fork in modern operating systems: Redis forks (creates a child process) that is an exact copy of the parent. The child process dumps the DB on disk and finally exits. In theory the child should use as much memory as the parent being a copy, but actually thanks to the copy-on-write semantic implemented by most modern operating systems the parent and child process will <i>share</i> the common memory pages. A page will be duplicated only when it changes in the child or in the parent. Since in theory all the pages may change while the child process is saving, Linux can't tell in advance how much memory the child will take, so if the <code name="code" class="python">overcommit_memory</code> setting is set to zero fork will fail unless there is as much free RAM as required to really duplicate all the parent memory pages, with the result that if you have a Redis dataset of 3 GB and just 2 GB of free memory it will fail.<br/><br/>Setting <code name="code" class="python">overcommit_memory</code> to 1 says Linux to relax and perform the fork in a more optimistic allocation fashion, and this is indeed what you want for Redis.<h1><a name="Redis is single threaded, how can I exploit multiple CPU / cores?">Redis is single threaded, how can I exploit multiple CPU / cores?</a></h1>Simply start multiple instances of Redis in different ports in the same box and threat them as different servers! Given that Redis is a distributed database anyway in order to scale you need to think in terms of multiple computational units. At some point a single box may not be enough anyway.<br/><br/>In general key-value databases are very scalable because of the property that different keys can stay on different servers independently.<br/><br/>In Redis there are client libraries such Redis-rb (the Ruby client) that are able to handle multiple servers automatically using <i>consistent hashing</i>. We are going to implement consistent hashing in all the other major client libraries. If you use a different language you can implement it yourself otherwise just hash the key before to SET / GET it from a given server. For example imagine to have N Redis servers, server-0, server-1, ..., server-N. You want to store the key &quot;foo&quot;, what's the right server where to put &quot;foo&quot; in order to distribute keys evenly among different servers? Just perform the <i>crc</i> = CRC32(&quot;foo&quot;), then <i>servernum</i> = <i>crc</i> % N (the rest of the division for N). This will give a number between 0 and N-1 for every key. Connect to this server and store the key. The same for gets.<br/><br/>This is a basic way of performing key partitioning, consistent hashing is much better and this is why after Redis 1.0 will be released we'll try to implement this in every widely used client library starting from Python and PHP (Ruby already implements this support).<h1><a name="I'm using some form of key hashing for partitioning, but what about SORT BY?">I'm using some form of key hashing for partitioning, but what about SORT BY?</a></h1>With <a href="SortCommand.html">SORT</a> BY you need that all the <i>weight keys</i> are in the same Redis instance of the list/set you are trying to sort. In order to make this possible we developed a concept called <i>key tags</i>. A key tag is a special pattern inside a key that, if preset, is the only part of the key hashed in order to select the server for this key. For example in order to hash the key &quot;foo&quot; I simply perform the CRC32 checksum of the whole string, but if this key has a pattern in the form of the characters {...} I only hash this substring. So for example for the key &quot;foo{bared}&quot; the key hashing code will simply perform the CRC32 of &quot;bared&quot;. This way using key tags you can ensure that related keys will be stored on the same Redis instance just using the same key tag for all this keys. Redis-rb already implements key tags.<h1><a name="What is the maximum number of keys a single Redis instance can hold?">What is the maximum number of keys a single Redis instance can hold?</a></h1>The latest versions of Redis in the Git repository are able to handle at least 150 million of keys per instance. We are working in order to experiment with larger values.<h1><a name="What Redis means actually?">What Redis means actually?</a></h1>Redis means two things:
<ul><li> it's a joke on the word Redistribute (instead to use just a Relational DB redistribute your workload among Redis servers)</li><li> it means REmote DIctionary Server</li></ul>
<h1><a name="Why did you started the Redis project?">Why did you started the Redis project?</a></h1>In order to scale <a href="http://lloogg.com" target="_blank">LLOOGG</a>. But after I got the basic server working I liked the idea to share the work with other guys, and Redis was turned into an open source project.
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<h1><a name="FLUSHALL">FLUSHALL</a></h1>
<blockquote>Delete all the keys of all the existing databases, not just the currently selected one. This command never fails.</blockquote>
<h2><a name="Return value">Return value</a></h2><a href="ReplyTypes.html">Status code reply</a><h2><a name="See also">See also</a></h2>
<ul><li> <a href="FlushdbCommand.html">FLUSHDB</a></li></ul>
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<h1><a name="FLUSHDB">FLUSHDB</a></h1>
<blockquote>Delete all the keys of the currently selected DB. This command never fails.</blockquote>
<h2><a name="Return value">Return value</a></h2><a href="ReplyTypes.html">Status code reply</a><h2><a name="See also">See also</a></h2>
<ul><li> <a href="FlushallCommand.html">FLUSHALL</a></li></ul>
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<b>GetCommand: Contents</b><br>&nbsp;&nbsp;<a href="#GET _key_">GET _key_</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#Return value">Return value</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#See also">See also</a>
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<h1><a name="GET _key_">GET _key_</a></h1>
<i>Time complexity: O(1)</i><blockquote>Get the value of the specified key. If the keydoes not exist the special value 'nil' is returned.If the value stored at <i>key</i> is not a string an erroris returned because GET can only handle string values.</blockquote>
<h2><a name="Return value">Return value</a></h2><a href="ReplyTypes.html">Bulk reply</a><h2><a name="See also">See also</a></h2>
<ul><li> <a href="SetCommand.html">SET</a></li><li> <a href="SetnxCommand.html">SETNX</a></li><li> <a href="IncrCommand.html">INCR</a></li></ul>
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<b>GetsetCommand: Contents</b><br>&nbsp;&nbsp;<a href="#GETSET _key_ _value_">GETSET _key_ _value_</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#Return value">Return value</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#Design patterns">Design patterns</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#See also">See also</a>
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<h1 class="wikiname">GetsetCommand</h1>
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<h1><a name="GETSET _key_ _value_">GETSET _key_ _value_</a></h1>
<i>Time complexity: O(1)</i><blockquote>GETSET is an atomic <i>set this value and return the old value</i> command.Set <i>key</i> to the string <i>value</i> and return the old value stored at <i>key</i>.The string can't be longer than 1073741824 bytes (1 GB).</blockquote>
<h2><a name="Return value">Return value</a></h2><a href="ReplyTypes.html">Bulk reply</a><h2><a name="Design patterns">Design patterns</a></h2><blockquote>GETSET can be used together with INCR for counting with atomic reset whena given condition arises. For example a process may call INCR against thekey <i>mycounter</i> every time some event occurred, but from time totime we need to get the value of the counter and reset it to zero atomicallyusing <code name="code" class="python">GETSET mycounter 0</code>.</blockquote>
<h2><a name="See also">See also</a></h2>
<ul><li> <a href="GetCommand.html">GET</a></li><li> <a href="SetCommand.html">SET</a></li><li> <a href="SetnxCommand.html">SETNX</a></li></ul>
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<b>IncrCommand: Contents</b><br>&nbsp;&nbsp;<a href="#INCR _key_">INCR _key_</a><br>&nbsp;&nbsp;<a href="#INCRBY _key_ _integer_">INCRBY _key_ _integer_</a><br>&nbsp;&nbsp;<a href="#DECR _key_ _integer_">DECR _key_ _integer_</a><br>&nbsp;&nbsp;<a href="#DECRBY _key_ _integer_">DECRBY _key_ _integer_</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#Return value">Return value</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#See also">See also</a>
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<h1 class="wikiname">IncrCommand</h1>
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<h1><a name="INCR _key_">INCR _key_</a></h1>
<h1><a name="INCRBY _key_ _integer_">INCRBY _key_ _integer_</a></h1>
<h1><a name="DECR _key_ _integer_">DECR _key_ _integer_</a></h1>
<h1><a name="DECRBY _key_ _integer_">DECRBY _key_ _integer_</a></h1>
<i>Time complexity: O(1)</i><blockquote>Increment or decrement the number stored at <i>key</i> by one. If the key doesnot exist or contains a value of a wrong type, set the key to thevalue of &quot;0&quot; before to perform the increment or decrement operation.</blockquote>
<blockquote>INCRBY and DECRBY work just like INCR and DECR but instead toincrement/decrement by 1 the increment/decrement is <i>integer</i>.</blockquote>
<h2><a name="Return value">Return value</a></h2><a href="ReplyTypes.html">Integer reply</a>, this commands will reply with the new value of <i>key</i> after the increment or decrement.<h2><a name="See also">See also</a></h2>
<ul><li> <a href="GetCommand.html">GET</a></li></ul>
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<b>InfoCommand: Contents</b><br>&nbsp;&nbsp;<a href="#INFO">INFO</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#Return value">Return value</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#Notes">Notes</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#See also">See also</a>
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<h1 class="wikiname">InfoCommand</h1>
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<h1><a name="INFO">INFO</a></h1><blockquote>The info command returns different information and statistics about the server in an format that's simple to parse by computers and easy to red by huamns.</blockquote>
<h2><a name="Return value">Return value</a></h2><a href="ReplyTypes.html">Bulk reply</a>, specifically in the following format:<br/><br/><pre class="codeblock python" name="code">
edis_version:0.07
connected_clients:1
connected_slaves:0
used_memory:3187
changes_since_last_save:0
last_save_time:1237655729
total_connections_received:1
total_commands_processed:1
uptime_in_seconds:25
uptime_in_days:0
</pre>All the fields are in the form <code name="code" class="python">field:value</code><h2><a name="Notes">Notes</a></h2><ul><li> <code name="code" class="python">used_memory</code> is returned in bytes, and is the total number of bytes allocated by the program using <code name="code" class="python">malloc</code>.</li><li> <code name="code" class="python">uptime_in_days</code> is redundant since the uptime in seconds contains already the full uptime information, this field is only mainly present for humans.</li><li> <code name="code" class="python">changes_since_last_save</code> does not refer to the number of key changes, but to the number of operations that produced some kind of change in the dataset.</li></ul>
<h2><a name="See also">See also</a></h2>
<ul><li> <a href="LastsaveCommand.html">LASTSAVE</a></li><li> <a href="DbsizeCommand.html">DBSIZE</a></li></ul>
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<b>KeysCommand: Contents</b><br>&nbsp;&nbsp;<a href="#KEYS _pattern_">KEYS _pattern_</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#Return value">Return value</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#See also">See also</a>
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<h1 class="wikiname">KeysCommand</h1>
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<h1><a name="KEYS _pattern_">KEYS _pattern_</a></h1>
<i>Time complexity: O(n) (with n being the number of keys in the DB, and assuming keys and pattern of limited length)</i><blockquote>Returns all the keys matching the glob-style <i>pattern</i> asspace separated strings. For example if you have in thedatabase the keys &quot;foo&quot; and &quot;foobar&quot; the command &quot;KEYS foo<code name="code" class="python">*</code>&quot;will return &quot;foo foobar&quot;.</blockquote>
<blockquote>Note that while the time complexity for this operation is O(n)the constant times are pretty low. For example Redis runningon an entry level laptop can scan a 1 million keys databasein 40 milliseconds. Still it's better to consider this one ofthe slow commands that may ruin the DB performance if not usedwith care.</blockquote>
Glob style patterns examples:
<ul><li> h?llo will match hello hallo hhllo</li><li> h<b>llo will match hllo heeeello
<blockquote>* h<a href="ae.html">ae</a>llo will match hello and hallo, but not hillo</blockquote>Use \ to escape special chars if you want to match them verbatim.<h2><a name="Return value">Return value</a></h2><a href="ReplyTypes.html">Bulk reply</a>, specifically a string in the form of space separated list of keys. Note that most client libraries will return an Array of keys and not a single string with space separated keys (that is, split by &quot; &quot; is performed in the client library usually).<h2><a name="See also">See also</a></h2>
<blockquote>* <a href="RandomkeyCommand.html">RANDOMKEY</a> to get the name of a randomly selected key in O(1).</blockquote></b></li></ul>
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<b>LastsaveCommand: Contents</b><br>&nbsp;&nbsp;<a href="#LASTSAVE">LASTSAVE</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#Return value">Return value</a><br>&nbsp;&nbsp;&nbsp;&nbsp;<a href="#See also">See also</a>
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<h1 class="wikiname">LastsaveCommand</h1>
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<h1><a name="LASTSAVE">LASTSAVE</a></h1>
<blockquote>Return the UNIX TIME of the last DB save executed with success.A client may check if a <a href="BgsaveCommand.html">BGSAVE</a> command succeeded reading the LASTSAVEvalue, then issuing a <a href="BgsaveCommand.html">BGSAVE</a> command and checking at regular intervalsevery N seconds if LASTSAVE changed.</blockquote>
<h2><a name="Return value">Return value</a></h2><a href="ReplyTypes.html">Integer reply</a>, specifically an UNIX time stamp.<h2><a name="See also">See also</a></h2>
<ul><li> <a href="BgsaveCommand.html">BGSAVE</a></li></ul>
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