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æ¢ é¨ãé¨å±å¹²ãããæ´æ¿¯ç©ã«ããç°èé¨ãã«è¦ããmikioã§ããä»åã¯ãTokyo Cabinetã®ãã¼ãã«ãã¼ã¿ãã¼ã¹ã§è¶ ãæ軽ã«å ¨ææ¤ç´¢ãããæ¹æ³ã«ã¤ãã¦èª¬æãã¾ãã 使ãæ¹ ãã¼ãã«ãã¼ã¿ãã¼ã¹ã«ã¤ãã¦ã¾ããããããã¦ããã¾ããããPerlãRubyã®ããã·ã¥ã®ããã«ã³ã©ã åã¨ãã®å¤ãé¢é£ã¥ããæ§é ãã主ãã¼ãèå¥åã¨ãã¦ä¿åãããã¼ã¿ãã¼ã¹ã§ããä¾ãã°Rubyãããã¼ã¿ãä¿åããã«ä»¥ä¸ã®ããã«è¡ãã¾ãããã¼ã¿ãã¼ã¹ã§ãããã¨ãã»ã¨ãã©æèãããªãã¨ããã®ãç´ æµãã¤ã³ãã§ããAPIã¯Cã§ãPerlã§ãRubyã§ãã»ã¨ãã©åããªã®ã§ãè¨èªã«ãããããåãããã«ã¬ã³ã¼ããæä½ã§ãã¾ãã require 'tokyocabinet' include TokyoCabinet # ãã¼ã¿ãã¼ã¹ãéã tdb = TDB::new tdb.open("casket", TDB::OWRITER
225 tweets/sec Eventually, Iâll want a purely in-memory, distributed table. Thatâs why I was interested in Memcached. But for development purposes, itâs very convenient to use an on-disk database. In the past Iâve used BerkeleyDB for this. (An SQL database is also possible but seems like overkill.) Ideally it would be nice to have a distributed key-value store with a heavy caching layer. Check out
By Ilya Grigorik on February 13, 2009 It took Ruby some time to go from an infant research project by Matz to a language we've all come to know so well. Now, another Japanese developer (Mikio Hirabayashi) has all the potential to repeat this cycle with his new database project: Tokyo Cabinet. Developed and sponsored by Mixi Inc. (Japanese Facebook), it is an incredibly fast, and feature rich datab
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