[B! kvs] kotasã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

kotas id:kotas

kvsã«é–¢ã™ã‚‹kotasã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (7)

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yrmcds 0.9.0 ãƒªãƒªãƒ¼ã‚¹ - Cybozu Inside Out | ã‚µã‚¤ãƒœã‚¦ã‚ºã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã®ãƒ–ãƒã‚°
@ymmt2005 ã“ã¨å±±æœ¬æ³°å®‡ã§ã™ã€‚ ä»Šå›žã¯ memcached äº’æ›ã§å†—é•·æ§‹æˆã‚’ç°¡å˜ã«çµ„ã‚ã‚‹è‡ªç¤¾è£½ KVS ã§ã‚ã‚‹ yrmcds ã®ãƒªãƒªãƒ¼ã‚¹ã‚’ã”æ¡ˆå†…ã—ã¾ã™ã€‚ ... ã“ã® Redis å…¨ç››ãªã”æ™‚ä¸–ã«ãªã‚“ã§ï¼Ÿã¨ã‹ã€repcached ã‚„ Kyoto Tycoon ãŒã‚ã‚‹ã˜ã‚ƒãªã„ã€ã¨ã„ã£ãŸãƒ„ãƒƒã‚³ãƒŸã®åµãŒèžãˆã¦ããã†ã§ã™ã€‚ã‚ã‹ã£ã¦ã¾ã™ã€ã‚ã‹ã£ã¦ã¾ã™ã‹ã‚‰ç‰©ã‚’æŠ•ã’ãªã„ã§ï¼ é †ã‚’è¿½ã£ã¦èª¬æ˜Žã—ã¾ã™ã®ã§ã€æ‰¹åˆ¤ã¯ãã‚Œã‹ã‚‰ã«ã—ã¦ãã ã•ã„ï¼ ä½•ãŒæ¬²ã—ã„ã®ã‹ ç§ã¯æ—¥é ƒ cybozu.com ã®ã‚¤ãƒ³ãƒ•ãƒ©ã§å‹•ä½œã™ã‚‹ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ã‚’é–‹ç™ºã—ã¦ã„ã¾ã™ã€‚ãƒªãƒªãƒ¼ã‚¹å¾Œã‚‚ã†ã™ãï¼’å¹´ã«ãªã‚Šã¾ã™ãŒã€ãŠè”æ§˜ã§ 4,000 ç¤¾ä»¥ä¸Šã«ã”åˆ©ç”¨ã„ãŸã ãã¾ã§ã«ãªã‚Šã¾ã—ãŸã€‚å•†å£²ç¹ç››ã§å¬‰ã—ã„ã®ã§ã™ãŒã€é‹ç”¨å´ã¯æ—¥ã€…å¢—ãˆã‚‹ãƒ‡ãƒ¼ã‚¿ã¨ã‚¢ã‚¯ã‚»ã‚¹ã‚’æŒãã¹ãå¥®é—˜ã—ã¦ã„ã¾ã™ã€‚ ã“ã“ã®ã¨ã“ã‚å•é¡Œã«ãªã£ã¦ã„ãŸã®ãŒã€MySQL ã«ä¿å˜ã—ã¦ã„ã‚‹ã‚»ãƒƒã‚·ãƒ§ãƒ³æƒ…å ±ã§ã—ãŸã€‚ã‚¢ãƒ—ãƒª
kotas 2013/07/09
kvs

memcached
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ã“ã‚ŒãŒCassandra
3. ã‚·ã‚¹ãƒ†ãƒ æ§‹æˆ â€¢ Nodeæ•°ï¼š97å° â€¢ ã‚µãƒ¼ãƒã‚¹ãƒšãƒƒã‚¯ æ©Ÿå™¨ï¼šDell R410ã€R420 ãƒ¡ãƒ¢ãƒªï¼š64GB CPU:16ã‚³ã‚¢ã€24ã‚³ã‚¢ HDDï¼š600GBx4 (RAID-10) 600GBx2(RAID-1)+SSD 512GB(RAID-0) â€¢ ã‚¯ãƒ©ã‚¹ã‚¿æ•°ï¼š1 â€¢ Cassandraã®ãƒãƒ¼ã‚¸ãƒ§ãƒ³ï¼š1.1.5-2(ç‹¬è‡ªãƒãƒ¼ã‚¸ãƒ§ãƒ³) â€¢ KeySpaceæ•°ï¼š8 â€¢ ColumnFamilyæ•°ï¼š156 4. é‹ç”¨çŠ¶æ³ã¨ã‹ Cluseter Writes Request: 32000/sec Cluseter Reads Request : 58000/sec 1 nodeã‚ãŸã‚Šã®ãƒ‡ãƒ¼ã‚¿ãƒãƒ¼ãƒ‰ã‚µã‚¤ã‚º ç´„200ï½ž230GB
kotas 2013/05/15
æ³£ã‘ã‚‹

cassandra

kvs
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Edis
Edis is a protocol-compatable Server replacement for Redis, written in Erlang. Edis's goal is to be a drop-in replacement for Redis when persistence is more important than holding the dataset in-memory. Edis (currently) uses Google's leveldb as a backend. Future plans call for a multi-master clustering model. Near term goals are to act as a read-slave for existing Redis servers. Learn more â†’ Is Ed
kotas 2013/04/30
redis

kvs

erlang
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Redis bitmaps - Fast, easy, realtime metrics -
At Spool, we calculate our key metrics in real time. Traditionally, metrics are performed by a batch job (running hourly, daily, etc.). Redis backed bit maps allow us to perform such calculations in realtime and are extremely space efficient. In a simulation of 128 million users, a typical metric such as â€œdaily unique usersâ€ takes less than 50 ms on a MacBook Pro and only takes 16 MB of memory. Spo
kotas 2011/11/30
Redis ã®ãƒ“ãƒƒãƒˆã‚»ãƒƒãƒˆã‚’ä½¿ã£ã¦é«˜é€Ÿãƒ»çœãƒ¡ãƒ¢ãƒªãª DAU è¨ˆæ¸¬ã€‚ORæ¼”ç®—ã§é€±é–“ã‚„æœˆé–“ã‚’å‡ºã—ãŸã‚Šã€ANDæ¼”ç®—ã§ãƒ—ãƒ¬ãƒŸã‚¢ãƒ ä¼šå“¡ã¨ã‹æ¡ä»¶ä»˜ã‘å‡ºæ¥ã‚‹ã®ãŒé¢ç™½ã„ãªãƒ¼ã€‚

redis

kvs
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ç¬¬3å›žã€€Redisã«ã‚ˆã‚‹Webã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³é–‹ç™ºï¼ˆ1ï¼‰ | gihyo.jp
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kotas 2011/03/02
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redis

kvs
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NoSQLã®æˆåŠŸã¯1:10å•é¡Œã«ã‹ã‹ã£ã¦ã„ã‚‹:Kenn's Clairvoyance
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kotas 2010/09/20
Redis ã¸ã®è¨€åŠã‚ã‚Šã€‚

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mysql

db
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kotas 2010/08/13
kvs
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