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This document compares the caching technologies Memcached and Redis. It provides an overview of how caching works and the problems that can occur with caching like cache misses, stale data, and warm-up times. It details the features of Memcached and Redis, including their data structures and operations. Benchmarks are presented comparing the performance of Memcached and Redis for set and get opera
Cache::Memcached(::Fast) ã®ãªãã·ã§ã³ã«ã¯ namespace ã¨ããã®ãããã¾ãã https://metacpan.org/module/Cache::Memcached::Fast https://metacpan.org/module/Cache::Memcached Cache::MemcachedãCache::Memcached::Fastãã©ã¡ããnamespaceã¯ã¤ã³ã¹ã¿ã³ã¹ä½ææã«æå®ãã¦ããã¨ããå¤æ´ãããã¨ã¯åºæ¥ã¾ããã my $s = Cache::Memcached::Fast->new({ servers => [qw/127.0.0.1:11211/], namespace => 'myservice' }); namespaceã使ãã¨ãã²ã¨ã¤ã®memcachedãµã¼ããè¤æ°ã®ã¢ããªã±ã¼ã·ã§ã³ãã使ç¨ããå ´åãªã©ã«ãããããå¥ã®ã
Here at Etsy we (ab)use our memcache infrastructure pretty heavily as a caching layer between our applications and our database tiers. We functionally partition our memcache instances into small pools and overall it works fabulously well. We have however suffered occasionally from what we call "hot keys". What is a "Hot" key? A "hot key" is a single key hashed to an individual memcache instance wi
Cache::Memcached::Fast uses Compress::Zlib by default to use compression. It's bit slow on high traffic environment. I got a Compress::Zlib as a bottleneck in our web application. In this case, you can use Compress::LZ4 for better performance. I'm using this as following form: use Cache::Memcached::Fast; use Compress::LZ4; my $memcache = Cache::Memcached::Fast->new(+{ %{config->cache}, utf8 => 1,
ãã¡ãã¨ãã¡ãã®ã¨ã³ããªã¼ã®ç¶ã memcached 1.4.6ã§mixiã®é害ã®åå ã¨ãªã£ãaccept_new_connsãã¹ã¬ããã»ã¼ããããªã件ã¯ä¿®æ£ããã¦ããã¯ãã ã£ãã®ã§ãããæ¤è¨¼ããã¨ããå¥ã®ã¹ã¬ãã競åã«ããä¸å ·åãçºçããBugã¯å ¨ã¦è§£æ¶ããã¦ã¯ãã¾ããã§ããã ãã®ä»¶ã«ã¤ãã¦mixiããã½ã½Gã®æ£®æ¬ããã¨èª¿æ»ãã¦ããã¨ãããmemcachedã®commiterã«twitterä¸ã§è£è¶³ãããã¤ããªãè±èªã§å ±åãããã¦ããã1.4.7-rc1ã§ä¿®æ£ãããã®ã§ãã®å ±åã memcached 1.4.6ã§ã®ä¸å ·ååç¾æ¹æ³ ã¾ãã1.4.6ã§ä¸å ·åãåç¾ãããæ¹æ³ã«ã¤ãã¦ãmixiã®ã¨ã³ã¸ãã¢ããã°ã¨åãããã«ãmemcachedã¯æ¬¡ã®ãªãã·ã§ã³ã§èµ·åãã $ ./memcached -U 0 -u nobody -p 11222 -t 4 -m 16000 -C -c 1000
ã¯ã¦ãªã°ã«ã¼ãã®çµäºæ¥ã2020å¹´1æ31æ¥(é)ã«æ±ºå®ãã¾ãã 以ä¸ã®ã¨ã³ããªã®éããä»å¹´æ«ãç®å¦ã«ã¯ã¦ãªã°ã«ã¼ããçµäºäºå®ã§ããæ¨ããç¥ãããã¦ããã¾ããã 2019å¹´æ«ãç®å¦ã«ãã¯ã¦ãªã°ã«ã¼ãã®æä¾ãçµäºããäºå®ã§ã - ã¯ã¦ãªã°ã«ã¼ãæ¥è¨ ãã®ãã³ãæ£å¼ã«çµäºæ¥ã決å®ãããã¾ããã®ã§ã以ä¸ã®éãã確èªãã ããã çµäºæ¥: 2020å¹´1æ31æ¥(é) ã¨ã¯ã¹ãã¼ãå¸æç³è«æé:2020å¹´1æ31æ¥(é) çµäºæ¥ä»¥éã¯ãã¯ã¦ãªã°ã«ã¼ãã®é²è¦§ããã³æ稿ã¯è¡ãã¾ãããæ¥è¨ã®ã¨ã¯ã¹ãã¼ããå¿ è¦ãªæ¹ã¯ä»¥ä¸ã®è¨äºã«ãããã£ã¦æç¶ãããã¦ãã ããã ã¯ã¦ãªã°ã«ã¼ãã«æ稿ãããæ¥è¨ãã¼ã¿ã®ã¨ã¯ã¹ãã¼ãã«ã¤ã㦠- ã¯ã¦ãªã°ã«ã¼ãæ¥è¨ ãå©ç¨ã®ã¿ãªãã¾ã«ã¯ãè¿·æãããããããã¾ãããã©ãããããããé¡ããããã¾ãã 2020-06-25 è¿½è¨ ã¯ã¦ãªã°ã«ã¼ãæ¥è¨ã®ã¨ã¯ã¹ãã¼ããã¼ã¿ã¯2020å¹´2æ28
å½å ã ãã§ãªãå½å¤(ãªãã主ã«ä¸å½èª)ã§ãã¾ã repcachedã«ã¤ãã¦è¨åãã¦ãã®ãã¡ãã»ãè¦ãããã®ã§ãããrepcachedã¯memcached 1.2.8ãã¼ã¹ã§ãã(memcached 1.4.5ã«å¯¾å¿ãã¦ã人ãããããã§ãã)ãã¾ãªãKyoto Tycoon使ãã°ããããããªããã¨æãã®ã§ãã Kyoto Tycoonãªã: memcachedãããã³ã«ãã©ã°ã¤ã³ã使ãã°ãKyoto Tycoonããã®ã¾ã¾memcachedã®ä»£æ¿ã«ãªãï¼memcachedãããã³ã«ãåãã¯ã©ã¤ã¢ã³ãã³ã¼ãã¯ãã®ã¾ã¾ã§ããï¼ Tokyo Tyrantã¨éã£ã¦expireãOK memcachedã®ä»£æ¿ãç®çãªããéããªã³ã¡ã¢ãªDB(StashDBã¨ã)ã§OK éåæã¬ããªã±ã¼ã·ã§ã³ãã§ãã ãããã¹ã¿ã³ãã¤å´ã®ãµã¼ããªã½ã¼ã¹ãç¡é§ã«æããªããkeyã«å¿ãã¦modã¨ãã§ãªã¯ã¨ã¹ããããµã¼ãã2å°ã®
Cache::Memcached(::Fast)ã使ãä¸ã§ãã¹ããã©ã¯ãã£ã¹ãã¾ã¨ããã¢ã¸ã¥ã¼ã«ãæ¸ãã¦ã¿ããååã¯ãCache::Memcached::IronPlateããã®ã¿ã¡ç¼ãã githubã«ããã¾ããããã¥ã¡ã³ããæ¥æ¬èªã ãã§ã: https://github.com/kazeburo/Cache-Memcached-IronPlate ã¤ãããã use Cache::Memcached::IronPlate; use Cache::Memcached::Fast; my $memd = Cache::Memcached::IronPlate->new( cache => Cache::Memcached::Fast->new(...). ); $memd->get $memd->get_multi $memd->set $memd->add $memd->replace
Hello! First read this if you haven't yet. I will now continue the back-and-forth obnoxiousness that benchmarking seems to be! In my tests, I've taken the exact testing method antirez has used here, the same test software, the same versions of daemon software, and tweaked it a bit. Below are graphs of the results, and below that is the discussion of what I did. Wow! That's pretty different from th
ããã«ã¡ã¯ãã·ã¹ãã æ¬é¨æè¡é¨ããã½ã½Gã®æ£®æ¬ã§ã è£è¶³ã追è¨ãã¾ãã (2010/08/20 15æ) å æ¥ã®mixi大è¦æ¨¡é害ã«ã¤ãã¦ã®ç¶å ±ã§ã ä»åã¯å°ãã¿ã¯ããã¾ãã ã¯ããã« ã¾ãåãã«twitter/blogãªã©ãéãã¦ä»åã®åé¡ã®è§£æãè¡ã£ã¦ããã ããã¿ãªããã«æè¬ã®è¨èãæ§ãããã¨æãã¾ã kzk_moverãã stanakaãã mala(bulkneets)ãã llameradaãã (é ä¸å) ãããã¨ããããã¾ãã æ¸ãæ¼ããã人ããããªãã memcachedã¯ããã ä»åã®ä»¶ã§memcachedã«å¯¾ãã¦ä¸å®æãæãããæ¹ãããããã¨ãèããã¾ãã 説æä¸è¶³ã ã£ãããã§èª¤è§£ãä¸ãã¦ãã¾ãç³ã訳ããã¾ãã ãã¡ãã¨è¨å®ããã³ç£è¦ãè¡ã£ã¦ããã°é常ã®ä½¿ç¨ã«ã¯ã¾ã£ããåé¡ã¯ããã¾ãã å¼ç¤¾ã«ã¦ -c 30ä¸ã§èµ·åããmemcachedã«å¯¾ãã¦ãå ã®ãã¹ãã¹ã¯ãªããã«
Neal Sato @nealsato äºæ¥ã¨ãè¤æ°å°ã®memcachedãé£ç¶ãã¦è½ã¡ã¾ãããã³ã¢ã¯åããã«ã¹ãã³ã¨è½ã¡ãã®ã§ãåå 追åã«æéããããã¾ããããmemcachedã¸ã®æ¥ç¶æ°ãç°å¸¸ã«å¤ãã¨è½ã¡ãäºã¯åç¾ã§ãã¾ããã #mixi 2010-08-12 02:33:00 Neal Sato @nealsato memcachedã大éã®æ¥ç¶ãåããã¨çªç¶åæ¢ãããã®ã§ãmemcachedã¸ã®æ¥ç¶æ°ãæ¸ããå®å®éç¨ä¸ãå¤é¨ããã®éå°ã¢ã¯ã»ã¹ã§ã¯ãªãããµã¼ã追å âã¯ã©ã¤ã¢ã³ãæ°å¢å âåæ¢ã 2010-08-12 08:45:50 Masahiro Nagano / é·éé åº @kazeburo ãã¡ã¤ã«ãã£ã¹ã¯ãªãã¿ãä¸è¶³ãã¦memcachedãè½ã¡ãã¨ãã¦ããã®ã¨ãã«ã¯ã3ä¸å¼·ã®æ¥ç¶ã¨ãªã£ã¦ãã¯ãã3ä¸å¼·ã®æ¥ç¶ã¨ãªãã«ã¯ã¢ããªã±ã¼ã·ã§ã³ãµã¼ãå´ã®max clientãå¹³å60ã¨ã
ä»ã¾ã§ç°¡åã«è§¦ãã¦ããmemcachedã®CASï¼Compare and Swapï¼æ©è½ã§ãããä»åã¯ãã®å ·ä½çãªä½¿ç¨ä¾ãããããã³ã«ã®éãã«ããç¹å¾´ãç´¹ä»ãã¾ããã¾ããmixiã§ã®ä»å¾ã®memcachedéç¨ååãç´¹ä»ãã¾ãã CASã®æ¦è¦ memcachedã«ã¯ç¹å®ã®ãã¼ã¿ã«å¯¾ãã¦ã¢ãããã¯ãªæ´æ°ã試ã¿ãæ©è½ãåå¨ãã¾ãããã®æ©è½ã®ä»çµã¿ã¯åç´ã§ãã¯ã©ã¤ã¢ã³ãã¯ç¹å®ã®ã³ãã³ãï¼ããã¹ããããã³ã«ã®å ´åã¯ââ getsâ ââ ï¼ãå®è¡ãããã¨ã«ããããµã¼ãããç¹å®ã®ã¬ã³ã¼ãã¨ãã®ç¶æ ã表ãã¦ãã¼ã¯ãªèå¥åãä¸ãããã¾ãã ãã®èå¥åã¯ã¬ã³ã¼ããä½ããã®æ段ã«ãã£ã¦æ´æ°ãããã¨å¤æ´ãããã¯ã©ã¤ã¢ã³ããä¿æãã¦ããèå¥åã¨ã¯å¥ã®å¤ã«ãªãã¾ãããããã£ã¦ãã¯ã©ã¤ã¢ã³ãã¯ä¸ããããèå¥åãæ´æ°å½ä»¤ã¨ä¸ç·ã«éä¿¡ãããã¨ã§ããµã¼ãã¯ã¬ã³ã¼ããã¢ãããã¯ã«æ´æ°ã§ãããã確èªãããã¨ãã§ãã¾ããããèå¥åã
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Cache::Memcached::Fast v0.14ã®ã¢ã«ã´ãªãºã å¤æ´ã«ã¤ã㦠perlã®memcachedã¯ã©ã¤ã¢ã³ãã®Cache::Memcached::Fastã®ææ°ãã¼ã¸ã§ã³ 0.14 ã«ã¯ã¡ãã£ã¨ããã©ãããããã¾ãã Consistent-Hashingåæ£ã¢ã«ã´ãªãºã ã®ketamaã®ã¢ã«ã´ãªãºã ãæ¹åããã¦ãããã¾ã§ã®ãã¼ã¸ã§ã³ã¨äºææ§ããªããªã£ã¦ãã¾ãã changesã«ãæ¸ãã¦ãã¾ã - improve Ketama distribution. The change is incompatible with Ketama implementation in previous versions. ç¾å¨ãµã¼ãã¹ã«Cache::Memcached::Fastã® 0.13 以ä¸ã§ketamãå©ç¨ãã¦ããå ´åããã¼ã¸ã§ã³ã¢ããããç¬éã«ãã£ãã·ã¥ãã»ã©ãã©hitããªããªãã£ã¦ã
ãã«ãã¹ã¬ããããã°ã©ãã³ã°ã§ãã使ãBlockingQueueãmemcachedãããã³ã«ã使ã£ã¦ãããã¯ã¼ã¯è¶ãã«ä½¿ããã¨ãã§ãããµã¼ãã¼ãå®è£ ãã¦ã¿ã¾ããã ã¿ã¹ã¯ãã¬ã³ã¬ã³pushãã¦ããä¸æ¹ã§ãã¯ã¼ã«ã¼ã¹ã¬ãããªãã¬ã¯ã¼ã«ã¼ãµã¼ãã¼ã1ã¤ãã¤popãã¦å¦çãã¦ãããããªåæ£å¦çã«ä½¿ããããç¥ãã¾ãããã¹ã¬ãããã¼ã«ã®ãããã¯ã¼ã¯åæ£çã ã½ã¼ã¹ã³ã¼ãã¯CodeReposã«ããã¾ãï¼lang/ruby/lkserver $ svn co http://svn.coderepos.org/share/lang/ruby/lkserver $ cd lkserver # memcachedããã¹ããããã³ã«ã®ãã¼ãµã¼ãã³ã³ãã¤ã« $ ruby extconf.rb $ make # Revï¼ã¤ãã³ãé§åIOã©ã¤ãã©ãªï¼ãã¤ã³ã¹ãã¼ã« $ gem install rev # 11511
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