Lucene lecture at Pisa
Package: org.apache.lucene.analysis An Analyzer is a TokenStream factory. A TokenStream is an iterator over Tokens. input is a character iterator (Reader) A Token is tuple <text, type, start, length, positionIncrement> text (e.g., “pisaâ€). type (e.g., “wordâ€, “sentâ€, “paraâ€). start & length offsets, in characters (e.g, <5,4>) positionIncrement (normally 1) standard TokenStream implementations are
サービス終了ã®ãŠçŸ¥ã‚‰ã›
サービス終了ã®ãŠçŸ¥ã‚‰ã› ã„ã¤ã‚‚Yahoo! JAPANã®ã‚µãƒ¼ãƒ“スをã”利用ã„ãŸã ãèª ã«ã‚ã‚ŠãŒã¨ã†ã”ã–ã„ã¾ã™ã€‚ ãŠå®¢æ§˜ãŒã‚¢ã‚¯ã‚»ã‚¹ã•ã‚ŒãŸã‚µãƒ¼ãƒ“スã¯æœ¬æ—¥ã¾ã§ã«ã‚µãƒ¼ãƒ“スを終了ã„ãŸã—ã¾ã—ãŸã€‚ 今後ã¨ã‚‚Yahoo! JAPANã®ã‚µãƒ¼ãƒ“スをã”愛顧ãã ã•ã„ã¾ã™ã‚ˆã†ã€ã‚ˆã‚ã—ããŠé¡˜ã„ã„ãŸã—ã¾ã™ã€‚
ChobieDB: SortedSet storage engine for MySQL(rough concept) - Chobie's Blog
ãŸã‹ãŒãƒ©ãƒ³ã‚ングã€ã•ã‚Œã©ãƒ©ãƒ³ã‚ング。サービスã®ä¸ã§ãƒ©ãƒ³ã‚ングã¨ã„ã†æ©Ÿèƒ½ã‚’æä¾›ã™ã‚‹ä¸Šã§ãã¡ã‚“ã¨æŠ€è¡“çš„ãªæ¤œè¨¼ã‚’ã›ãšã«ã ã—ã¦ã—ã¾ã†ã€ã¨ã„ã†ã“ã¨ã»ã©æ„šã‹ãªã‚‚ã®ã¯ã‚ã‚Šã¾ã›ã‚“。ランã‚ングã®æŽ¨ç§»ã‚’一喜一憂ã™ã‚‹ã®ã¯å¸¸ã€…ãªã®ã§ã€æ£ç¢ºãªãƒ©ãƒ³ã‚ングãŒå‡ºã›ãªã„ã¨è‰²ã€…ã¨ä¸å®‰ã«ã•ã›ã¦ã—ã¾ã„ã¾ã™ã‚ˆã。 ç¾å®Ÿè§£ã¨ã—ã¦ã¯Redisã‚’å°Žå…¥ã—ã¦æ°—åˆå…¥ã‚Œã¦é‹ç”¨ã®é¢å€’見れã°ã„ã„ã®ã§ã™ãŒã€å¤ãよãWebサービスã ã¨MySQLをメインã¨ã—ãŸæ§‹æˆã«ãªã£ã¦ã„ã‚‹ã¨ãŠã‚‚ã†ã®ã§ã€ ã“ã“ã«è¿½åŠ ã§Redisを入れるã¨ãªã‚‹ã¨é‹ç”¨æ™‚ã«å‡ºãã‚ã™ã‚¢ãƒ¬ã‚³ãƒ¬ã‚’考ãˆã‚‹ã¨çµæ§‹æ‰‹é–“ã ã£ãŸã‚Šã—ã¾ã™ã€‚ ãã‚“ãªã¨ãã«ã€ŒMySQL用ã«ãƒ©ãƒ³ã‚ング専用ストレージエンジンを作る話ã€(http://d.hatena.ne.jp/kazuhooku/20131001/1380595265)ã‚’èªã‚“ã§ãªã‚‹ã»ã©ï¼ã¨æ€ã„ 共感ã™ã‚‹éƒ¨åˆ†ã‚‚多ãã‚ã£ãŸã®ã¨è‰²ã€…タイミング的ã«è‰¯ã‹ã£ãŸã®ã§Redisã®
http://live-e.naist.jp/sensor_overlay/5/doc/yoshida.pdf
2011/10/29-30 5th sensor & overlay workshop Skip List Revisited! （å†è¨ªï¼‰ å‰ç”° å¹¹ BBR, PIAX Inc. ～探索アルゴリズムã¨æ§‹é€ 化オーãƒãƒ¼ãƒ¬ã‚¤ã€ 両者ã®æŽ¥ç‚¹ã«ã¤ã„ã¦è€ƒãˆã‚‹ï½ž “Skip listã¨ã„ã†æŽ¢ç´¢ã®ãŸã‚ã®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ （+デー ã‚¿æ§‹é€ ï¼‰ã‚’é€šã—ã¦ã€æ§‹é€ 化オーãƒãƒ¼ãƒ¬ã‚¤ã«æœ‰ç”¨ãª 原ç†ã‚’考ãˆã‚‹â€ 5 ã“ã“ã§ã¯ã€è€ƒãˆã®é“ç‹ã«ã¤ã„ã¦ç™ºè¡¨ã—ã¾ã™ã€‚ ç”ãˆã«ã¯è‡³ã£ã¦ã„ã¾ã›ã‚“。 ç ”ç©¶ã«ã¯ã¾ã ã¾ã 残ã•ã‚ŒãŸé ˜åŸŸã®ã‚ã‚‹ã“ã¨ã‚’知㣠ã¦ã‚‚らã†ã“ã¨ãŒã§ããŸã‚‰å…‰æ „ã§ã™ã€‚ ãªãœã€Skip list㋠（ç§ã¯ï¼‰æ§‹é€ 化オーãƒãƒ¼ãƒ¬ã‚¤ã‚’ã“ã†æ‰ãˆã¦ã„ã‚‹ “探索アルゴリズム†ã®é©ç”¨é ˜åŸŸãŒã€1å°ã®ã‚³ãƒ³ãƒ”ュータ ã®å†…å´ã‹ã‚‰åºƒåŸŸã«æ‹¡ãŒã‚‹ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚ングã®ä¸–ç•Œã«å±•é–‹ ã—ãŸå½¢ 特ã«ã€Pastry, Tapestry (Plaxtonã®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ), Kadem
一体ã„ã¤ã‹ã‚‰RedisãŒSorted Setã®å®Ÿè£…ã«Skip Listã—ã‹ä½¿ã£ã¦ãªã„ã¨éŒ¯è¦šã—ã¦ã„ãŸï¼Ÿ - æ„›ã¨å‹‡æ°—ã¨ç¼¶ãƒ“ール
デフォルトã®è¨å®š (zset-max-ziplist-entries, zset-max-ziplist-value) ã§ã¯ 該当ã™ã‚‹Sorted Setã®ã‚¨ãƒ³ãƒˆãƒªæ•°ãŒ128個以下 該当ã™ã‚‹Sorted Setã«å«ã¾ã‚Œã‚‹member (not score) ã®ãƒ‡ãƒ¼ã‚¿é•·ãŒå…¨ã¦64byte以下 ã¨ã„ã†2ã¤ã®æ¡ä»¶ãŒæˆç«‹ã—ã¦ã„ã‚‹å ´åˆã€Sorted Setã®è¡¨ç¾ã«ã¯Skip Listã§ã¯ãªãZip Listã¨ã„ã†ãƒ‡ãƒ¼ã‚¿æ§‹é€ ãŒä½¿ã‚れる。ZADD, ZCOUNTç‰ã®å®Ÿè£…ã‚‚ã©ã¡ã‚‰ã®ãƒ‡ãƒ¼ã‚¿æ§‹é€ を使ã£ã¦ã„ã‚‹ã‹ã®ãƒ•ãƒ©ã‚°ã§åˆ†å²ã—ã¦ã„る。 Zip Listã¯ãƒã‚¤ãƒ³ã‚¿ã‚’使ã‚ãšãƒ‡ãƒ¼ã‚¿ã¨ãã®ã‚ªãƒ•ã‚»ãƒƒãƒˆã ã‘ã§è¡¨ç¾ã•ã‚ŒãŸåŒæ–¹å‘リストã§ã‚ã‚‹ãŸã‚ã€ç©ºé–“効率ã¯ã‚ˆã„ãŒå…¨ä½“ã®ã‚µã‚¤ã‚ºãŒå¤§ãããªã‚‹ã¨ã™ã使ãˆãªããªã‚‹ã€‚ Redisã«ãŠã„ã¦ã¯ã€Sorted Setã¸ã®insertã«éš›ã—ã¦ä¸Šè¨˜æ¡ä»¶ã®ã©ã¡ã‚‰ã‹ãŒæº€ãŸã•ã‚Œãªããªã£ãŸå ´åˆã«Zip Li
DO++: 左傾赤黒木
æ¼¢å—ã§æ›¸ãã¨ä»°ã€…ã—ã„ãŒã€èµ¤é»’木 (wikipedia) red-black tree (english wikipedia)ã¨ã„ã†å¹³è¡¡äºŒåˆ†æœ¨ã§æœ€ã‚‚多ãã¤ã‹ã‚ã‚Œã¦ã„ã‚‹ãƒ‡ãƒ¼ã‚¿æ§‹é€ ã®ã€æ”¹å–„版ãŒå‡ºã¦ãŸãã†ã 。 left-leaning red-black tree (pdf) 日本語ã«è¨³ã™ã¨å·¦å‚¾èµ¤é»’木ã‹ãªã€‚ç°¡å˜ãªæ¼¢å—を並ã¹ã¦ã„ã‚‹æ„Ÿã˜ãŒã—ã¦ã—ã¾ã† 赤黒木ã®è©³ç´°ã«ã¤ã„ã¦ã¯ã€wikipediaãªã©ã‚’よんã§ã‚‚らã†ã¨ã—ã¦ã€ã“ã‚Œã¯æ›´æ–°æ™‚é–“ãŒå®šæ•°ã§æ›´æ–°ç®‡æ‰€ãŒå±€æ‰€çš„（ã“ã‚Œã¯ãƒžãƒ«ãƒã‚¹ãƒ¬ãƒƒãƒ‰ã¨ã‹ã§ãƒãƒƒã‚¯ã™ã‚‹ç®‡æ‰€ã‚’ã‹ãªã‚Šç´°ã‹ã„å˜ä½ã§ã€ã§ãã‚‹ã¨ã„ã†å¼·ã„利点もã‚る）ã®ã ãŒã€å®Ÿè£…ãŒçµæ§‹é¢å€’ãã•ã„。例ãˆã°C++ stl ã®mapã¨ã‹ã®èµ¤é»’木ã®å®Ÿè£…ã®stl_tree.h(google code search)ã¯å¤§å¤‰ãªã“ã¨ã«ãªã£ã¦ã„る（特ã«Rb_tree_rebalance_for_eraseã¨ã‹ï¼‰ 赤黒木ã¨ã„ã†ã®ã¯å‹•çš„データ構é€
Skiplists20100604
2. アンケート çªç„¶ã§ã™ãŒè³ªå•ã§ã™ Q1. O(N)ã¨ã„ã†è¡¨è¨˜ã®æ„味を知ã£ã¦ã„ã¾ã™ã‹ï¼Ÿ 1.  余裕ã§çŸ¥ã£ã¦ã‚‹ï¼ 2.  見ãŸã“ã¨ã‚る。 3.  何ãれ？ Q2. log Nã£ã¦ã‚ã‹ã‚Šã¾ã™ã‹ï¼Ÿï¼ˆåº•ã¯ä½•ã§ã‚‚ã„ã„） 1.  ã©ã‚Œãらã„ã®å€¤ã‹ã‚¤ãƒ¡ãƒ¼ã‚¸ã§ãる。 2.  logã¯çŸ¥ã£ã¦ã„ã‚‹ã‘ã©ã‚¤ãƒ¡ãƒ¼ã‚¸ã¯ã§ããªã„。 3.  昔やã£ãŸã‘ã©å¿˜ã‚ŒãŸï¼logã£ã¦ä¸¸å¤ªã§ã™ã‹ï¼Ÿ 2 0 1 0 J u n e 0 4 2 appengine ja night #8 koher 3. koherã£ã¦èª°ï¼Ÿ 普段ã¯äº¬éƒ½GTUG主催ã®appengine ja night in kansaiã«å‚åŠ â€¢â€¯ koher（id:koherentã€@koher） •  èªã¿æ–¹ã¯ã€Œã‚³ãƒ’ーã€ã€‚koherentã‚’çœç•¥ã€‚ •  普段ã¯äº¬éƒ½GTUG（※）ã§@bufferingsã•ã‚“ãŒä¸å¿ƒã¨ãªã£ã¦é–‹å‚¬ã• ã‚Œã¦ã„ã‚‹appengine ja ni
Redis ã® sorted set ã«ã‹ã‚“ã™ã‚‹ãƒ¡ãƒ¢ - tokuhirom's blog
ã»ã‚“ã¨ã«ãƒãƒ©è£ã§ã™ãŒã€‚ http://japan.cnet.com/blog/kenn/2011/01/13/entry_30011467/ ã‚’ã¿ã¦ã¦ã€ãªã‚“㧠redis ã® ZRANK ã¯ã‚„ã„ã®ã‹ãªãƒ¼ã¨ãŠã‚‚ã£ã¦ã€ã—らã¹ãŸã®ã®ãƒ¡ãƒ¢ã§ã™ã€‚ skip list ã«ã¤ã„ã¦ã¯ã€http://www.geocities.jp/m_hiroi/light/pyalgo19.html ã“ã®ã¸ã‚“ãŒã‚ã‹ã‚Šã„ã„ã¨ãŠã‚‚ã„ã¾ã—ãŸã€‚ INSERT: O(log(n)) REMOVE: O(log(n)) ã§ã™ã‚ˆã€ã¨ã€‚ hash 㧠member → score ã®ãƒ‡ãƒ¼ã‚¿ã‚’ä¿æŒã—ã¦ã‚‹ã€‚ skip list 㧠score → member ã®ãƒ‡ãƒ¼ã‚¿ã‚‚ä¿å˜ã—ã¦ã‚‹ skip list ã®å®Ÿè£…㯠William Pugh ã®ã‚ªãƒªã‚¸ãƒŠãƒ«ã®ã‚³ãƒ”ーã ã‘ã©ã€ã¡ãŒã„ã‚‚3ã¤ã»ã©ã‚るよ。 ã§ã€ZRANK ãŒãªã‚“ã§ã¯ã‚„ã„ã®ã‹ã¨ã„ã†ã¨ã€å„
martin on skip list indices and why we use them in AvocadoDB | | AvocadoDBAvocadoDB
Last week AvocadoDB got mentioned in “nosql weekly†and the project achieved a huge amount of public interest especially from Japan. Awesome! In this context Mr. Fiber asked on twitter what the use of skip list indices in AvocadoDB is. Here’s a short video reply by chief architect martin Schoenert. Got an opinion on this? – we’d love to hear your thoughts on this in the comments. skip list index
Comparing ArangoDB with CouchDB and MongoDB - ArangoDB
Comparing ArangoDB with CouchDB and MongoDB November 13, 201200GeneralTags: Performance The folks over at MongoDB have an article on their site on Comparing MongoDB and CouchDB. They write: “We are getting a lot of questions “how are mongo db and couch different?†It’s a good question: both are document-oriented databases with schemaless JSON-style object data storage. Both products have their pla
è¦ç´ ã®æŒ¿å…¥ã€å‰Šé™¤ã€ãƒ©ãƒ³ãƒ€ãƒ アクセスãŒå…¨éƒ¨é«˜é€Ÿãªãƒªã‚¹ãƒˆã‚’作ã£ãŸ - kaisehã®ãƒ–ãƒã‚°
スã‚ップリスト（Skip List）ã¯1990å¹´ã«ç™ºè¡¨ã•ã‚ŒãŸæ¯”較的新ã—ã„アルゴリズムã§ã€è¦ç´ ã®æŒ¿å…¥ã‚„削除ã€æ¤œç´¢ã‚’平衡木ã¨åŒç‰ã®ãƒ‘フォーマンスã§å®Ÿè¡Œå¯èƒ½ãªãƒªã‚¹ãƒˆæ§‹é€ ã§ã™ã€‚ Skip Listã¯é€£çµãƒªã‚¹ãƒˆã®å¤šå±¤æ§‹æˆã«ãªã£ã¦ã„ã¾ã™ã€‚路線ã«ä¾‹ãˆã‚‹ã¨ã€æœ€ä¸‹å±¤ã®ãƒªãƒ³ã‚¯ã¯å„駅åœè»Šã®ã‚ˆã†ã«ã€å…¨è¦ç´ ã‚’çµã‚“ã§ã„ã¾ã™ã€‚一方ã€ä¸Šå±¤ã®ãƒªãƒ³ã‚¯ã¯æ€¥è¡Œã‚„特急ã®ã‚ˆã†ã«ã€é€”ä¸ã®è¦ç´ をスã‚ップã™ã‚‹ã‚ˆã†ã«ãªã£ã¦ã„ã¾ã™ã€‚ã“ã®è·¯ç·šã‚’特急→急行→…→å„駅ã¨ä¹—り継ãã“ã¨ã§ã€ç›®çš„ã®è¦ç´ ã«é«˜é€Ÿã«åˆ°é”ã§ãる仕組ã¿ã§ã™ã€‚ã‚‚ã£ã¨è©³ã—ã„解説ã¯ã“ã¡ã‚‰ã‚„ã“ã¡ã‚‰ã«ã‚ã‚Šã¾ã™ã€‚ ã§ã€ã“ã“ã‹ã‚‰ãŒæœ¬é¡Œã§ã™ã€‚Skip Listã®å®Ÿè£…ã¯ã„ãã¤ã‚‚出ã¦ã„ã‚‹ã‚“ã§ã™ãŒã€Sorted Listã¨ã—ã¦ã®å®Ÿè£…ã°ã‹ã‚Šã§ã€è¦ç´ ã‚’ä»»æ„é †åºã§æ ¼ç´ã§ãã¦ãƒ©ãƒ³ãƒ€ãƒ アクセス（indexを指定ã—ã¦ã®ã‚¢ã‚¯ã‚»ã‚¹ï¼‰å¯èƒ½ãªSkip ListãŒè¦‹ã¤ã‹ã‚‰ãªã‹ã£ãŸã®ã§ã€è‡ªåˆ†ã§ä½œã£ã¦ã¿ã¾ã—ãŸã€‚ 通常ã®Skip
What are the underlying data structures used for Redis?
I'm trying to answer two questions in a definitive list: What are the underlying data structures used for Redis? And what are the main advantages/disadvantages/use cases for each type? So, I've read the Redis lists are actually implemented with linked lists. But for other types, I'm not able to dig up any information. Also, if someone were to stumble upon this question and not have a high level su
Redis ã® SortedSets åŒç‚¹å•é¡Œã«ã¤ã„㦠- blog.nekokak.org
WEB+DBã®Redis特集をã²ã‚ã›ã¾ã•ã‚ãã•ã‚“ã¨å…±åŒã§åŸ·ç†ã—ã¾ã—ãŸã€‚ WEB+DB PRESS Vol.73posted with amazlet at 13.03.05è¨æ¨‚ 洋爾 白土 æ…§ 奥野 幹也 ä½è—¤ 鉄平 後藤 秀宣 mala ä¸å³¶ è¡ å ¤ 智代 森田 創 A-Listers ã¯ã¾ã¡ã‚„2 大和田 ç´” æ¾ç”° 明 後藤 大輔 ã²ã‚ã› ã¾ã•ã‚ã å°æž— 篤 è¿‘è—¤ 宇智朗 ã¾ã‹ã¾ã‹èˆ¬è‹¥æ³¢ç¾…蜜 Mr. O 技術評論社 売り上ã’ランã‚ング: 335 Amazon.co.jpã§è©³ç´°ã‚’見る è²·ã£ã¦ãã ã•ã„。 ã“ã®Redis特集ã®ç¬¬äº”ç« ã§ã¯ã€Redisを使ã£ãŸãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ ランã‚ングã«ã¤ã„ã¦å–り上ã’ãŸã®ã§ã™ãŒã€ 記事ä¸ã«ã‚ã‚‹åŒç‚¹å•é¡Œã«ã¤ã„ã¦ã€åŸ·ç†æ™‚ã‹ã‚‰çŠ¶æ³ãŒå¤‰ã‚ã‚Šã¾ã—ãŸã®ã§updateã—ã¾ã™ã€‚ 記事ä¸ã§ã¯ã€Redisã®SortedSetsã¯ã‚¹ã‚ップリストã¨ã„ã†ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ を使ã£ã¦ã„る特性上〠åŒã˜ã‚¹
1
リリースã€éšœå®³æƒ…å ±ãªã©ã®ã‚µãƒ¼ãƒ“スã®ãŠçŸ¥ã‚‰ã›
最新ã®äººæ°—エントリーã®é…ä¿¡
j次ã®ãƒ–ックマーク
kå‰ã®ãƒ–ックマーク
lã‚ã¨ã§èªã‚€
eコメント一覧を開ã
oページを開ã
» スケーラブルãªå„ªå…ˆåº¦ã‚ューãŒç«¶åˆã‚’最å°åŒ–
GitHub - arangodb/arangodb: 🥑 ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.
Google Code Archive - Long-term storage for Google Code Project Hosting.
skip list
Google Code Archive - Long-term storage for Google Code Project Hosting.
{{#tags}}- {{label}}
{{/tags}}