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Hbase at FaceBookã®ã¾ã¨ã‚
Tatsuya Kawano @tatsuya6502 今晩ã®ã€ŒHBase at Facebookã€è¬›æ¼”ã®ã‚¹ãƒ©ã‚¤ãƒ‰è‹±æ—¥ç¿»è¨³ãŒå®Œäº†ï¼ã‚¢ãƒ‹ãƒ¡ãƒ¼ã‚·ãƒ§ãƒ³ãŒæ²¢å±±å…¥ã£ã¦ã¾ã™ã。HBaseã®åŸºæœ¬å‹•ä½œãŒã‚ã‹ã‚Šã‚„ã™ã„ã€‚ã‚¤ãƒ™ãƒ³ãƒˆæƒ…å ±ï¼š http://t.co/jMyNWbG #hbasefacebook 2011-07-01 06:36:43
MongoDB全機能解説2
The document describes MongoDB's GridFS specification for storing and retrieving files that exceed the BSON document size limit of 16MB. It explains that GridFS splits files into chunks, which are stored as individual documents, and maintains metadata about the file such as length, MD5, and filename in a separate collection. It provides examples of using the mongofiles command line tool to list, s
MongoDB全機能解説1
This document contains links to MongoDB documentation pages about sharding, databases, collections, inserting, querying, updating, indexing, replication, and backups. It includes a link to a slideshare presentation on MongoDB sharding and links to pages explaining replica set internals and operations.Read less
「第3回 MongoDB 勉強会 in Tokyoã€æ´»å‹•å ±å‘Š | gihyo.jp
ç†è€…（@doryokujin）よりã€MongoDBã®æ©Ÿèƒ½ã«ã¤ã„ã¦ã®è§£èª¬ã‚’è¡Œã„ã¾ã—ãŸã€‚ã™ã¹ã¦ã‚’一度ã«è§£èª¬ã™ã‚‹ã®ã¯ç„¡ç†ãŒã‚ã£ãŸãŸã‚ã€ä»Šå›žã¯å‰ç·¨ã¨ã—ã¦ä»¥ä¸‹ã®å†…容を話ã—ã¾ã—ãŸã€‚本発表ã®ç›®çš„ã¯ã€æ©Ÿèƒ½ã®å˜ç´”ãªãƒãƒ¥ãƒ¼ãƒˆãƒªã‚¢ãƒ«ã¨ã„ã†ã‚ˆã‚Šã‚‚ã€ãã®æ©Ÿèƒ½ã‚’使ã†ä¸Šã§ã®æ³¨æ„点をã—ã£ã‹ã‚Šã¨ç†è§£ã—ã¦ã‚‚らã†ã“ã¨ã«ã‚ã‚Šã¾ã—ãŸã€‚MongoDBã«ã¯ã‚ã¾ã‚ŠçŸ¥ã‚‰ã‚Œã¦ã„ãªã„機能や振る舞ã„ã‚’ãŸãã•ã‚“æŒã£ã¦ã„ã¾ã™ã€‚ãれを知ã£ã¦ã„ã‚‹ã“ã¨ãŒã€ã“ã‚Œã‹ã‚‰ã®ä½¿ç”¨ã«å½“ãŸã£ã¦å¤§ããªåŠ©ã‘ã¨ãªã‚‹ã¯ãšã§ã™ã€‚ 1. MongoDBã®æ§‹æˆ MongoDBã¯1ã¤ã®ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã«è¤‡æ•°ã®ã‚³ãƒ¬ã‚¯ã‚·ãƒ§ãƒ³ã‚’æŒã¡ã¾ã™ï¼ˆMySQLã§ã„ã†ãƒ†ãƒ¼ãƒ–ルâ ）â 。ãã®å„コレクションãŒãŸãã•ã‚“ã®ãƒ‰ã‚ュメントをä¿å˜ã—ã¦ã„ã¾ã™ã€‚MongoDBã®æ ¼ç´ã™ã‚‹ãƒ‡ãƒ¼ã‚¿ã®å˜ä½ã¯ãƒ‰ã‚ュメントã¨å‘¼ã°ã‚Œã‚‹ã‚‚ã®ã§ã€JSONå½¢å¼ã«ãªã£ã¦ã„ã¾ã™ï¼ˆå†…部ã§ã¯BSONå½¢å¼ã§ä¿æŒã•ã‚Œã¾ã™â ）â 。MongoDBを稼動ã•ã›ã‚‹ãŸã‚
第3回 MongoDB勉強会 ダイジェスト
「第3回 MongoDB 勉強会 in Tokyo〠: ATND 先週土曜日（2011å¹´5月14日）ã«ãƒ•ãƒ¥ãƒ¼ãƒãƒ£ãƒ¼ã‚¢ãƒ¼ã‚テクトã•ã‚“ã®ã‚»ãƒŸãƒŠãƒ¼ãƒ«ãƒ¼ãƒ ã«ã¦è¡Œã‚ã‚ŒãŸMongoDBã®å‹‰å¼·ä¼šã«è¡Œã£ã¦ãã¾ã—ãŸã€‚ MongoDBã®ä»•æ§˜ãƒ»æ©Ÿèƒ½ãªã©ã®ä½“系的ãªè©±ã‹ã‚‰ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ã®è©±ã€é–‹ç™ºã«åˆ©ç”¨ã™ã‚‹è©±ã€ãƒ—ãƒãƒ€ã‚¯ã‚·ãƒ§ãƒ³ã¨ã—ã¦é‹ç”¨ã—ã¦ã„る話ã¨ã€ãƒãƒ©ãƒ³ã‚¹ã‚ˆãã¾ã¨ã¾ã£ã¦ã„ã¦ã¨ã¦ã‚‚勉強ã«ãªã‚Šã¾ã—ãŸã€‚ RDBã¨ã®é•ã„や特有ã®æŒ™å‹•ã‚’ãã¡ã‚“ã¨æŠŠæ¡ã—ã¦åˆ©ç”¨ã™ã‚Œã°ã€å分プãƒãƒ€ã‚¯ã‚·ãƒ§ãƒ³ã§åˆ©ç”¨å‡ºæ¥ã‚‹ã¨ã„ã†ãƒ“ジョンãŒè¦‹ãˆã¾ã—ãŸã€‚ 詳細ã¯å„発表者ã®æ–¹ã®ã‚¹ãƒ©ã‚¤ãƒ‰ã‚’見るã¨ã‚ã‹ã‚‹ã¨æ€ã„ã¾ã™ãŒã€å½“æ—¥ä¼šå ´ã§ãƒ¡ãƒ¢ã—ãŸã‚‚ã®ã§ãƒ€ã‚¤ã‚¸ã‚§ã‚¹ãƒˆçš„ã«ã¾ã¨ã‚ã¾ã—ãŸã€‚ MongoDB勉強会ã¯æ¯Žæœˆé–‹å‚¬ï¼ˆäºˆå®šï¼‰ã—ã¦ã„ã‚‹ãã†ãªã®ã§ã€èˆˆå‘³ã‚’æŒãŸã‚ŒãŸæ–¹ã¯æ˜¯éžå‚åŠ ã—ã¦è¦‹ã¦ãã ã•ã„。 MongoDBコミュニティー：MongoDB JP | Google グループ ã€ç™ºè¡¨1】Mo
Cassandra vs MongoDB vs CouchDB vs Redis vs Riak vs HBase comparison :: Software architect Kristof Kovacs
Hello, I’m Kristof, a human being like you, and an easy to work with, friendly guy. I've been a programmer, a consultant, CIO in startups, head of software development in government, and built two software companies. Some days I’m coding Golang in the guts of a system and other days I'm wearing a suit to help clients with their DevOps practices. While SQL databases are insanely useful tools, their
NoSQL3
The document discusses the Apache Cassandra NoSQL database. It describes how Cassandra uses keys to store and retrieve data, unlike SQL databases that rely on indexes. Cassandra allows for adding secondary indexes but maintains consistency through a replication technique called versioned clocks. Later versions of Cassandra added features like configurable consistency levels and improved secondary
å”çªã« MongoDB ã®è©± - 檜山æ£å¹¸ã®ã‚マイラ飼育記 (ã¯ã¦ãªBlog)
「Catyã®JSONストレージã¨ã‚¯ã‚¨ãƒªè¨€èªžã€ã§è§¦ã‚ŒãŸã‚ˆã†ã«ã€MongoDBを触ã£ãŸã‚Šèª¿ã¹ãŸã‚Šã—ã¦ã„ã¾ã™ã€‚Kuwataã•ã‚“も何やら書ã„ã¦ã¾ã™ã。 MongoDBã®å…¥é–€çš„ãªè§£èª¬ã‚‚ã„ãšã‚Œæ›¸ã„ã¦ã¿ãŸã„æ°—ã‚‚ã—ã¾ã™ãŒã€ä»Šæ—¥ã¯ãã†ã„ã†ã®ã¯ã™ã£é£›ã°ã—ãŸè©±ã‚’ã—ã¾ã™ã€‚タイトルã®ã€Œå”çªã«ã€ã¨ã¯ã€MongoDBã®ç´¹ä»‹ã‚‚説明もãªã„よã€ã£ã¦ã“ã¨ã§ã™ã€‚ã‚ã—ã‹ã‚‰ãšã€‚ データベースã¨åå‰ç©ºé–“ MongoDBã¯ã€ãƒ‘フォーマンスã«ã“ã ã‚ã£ã¦ã„ã¦ã€æ©Ÿèƒ½æ€§ã€ä½¿ã„å‹æ‰‹ã€æ•´åˆæ€§ãªã©ã‚’çŠ ç‰²ã«ã—ã¦ã„ã¾ã™ã€‚ã“ã“ã¾ã§çŠ 牲を払ã£ã¦ã€ã‚‚ã—é…ã‹ã£ãŸã‚‰ã‚´ãƒŸã§ã™ã。もã¡ã‚ã‚“ã€ã‚´ãƒŸã˜ã‚ƒãªã„ã ã‚ã†ã¨åƒ•ã¯æœŸå¾…ã—ã¦ã¾ã™ã€‚ データベースã®å®Ÿä½“ã¯ã€mydb.0, mydb.ns ã®ã‚ˆã†ãª2ã¤ã®ãƒ•ã‚¡ã‚¤ãƒ«ã§ã™ã€‚åå‰ã‹ã‚‰ã—ã¦ã€mydb.0ã«ã‚³ãƒ³ãƒ†ãƒ³ãƒ„ã€mydb.nsã«åå‰ç©ºé–“（NSã¨ç•¥è¨˜ï¼‰ã®æƒ…å ±ã§ã—ょã†ã€‚NSã£ã¦ã®ãŒã¾ãŸç妙ãªæ¦‚念ã§ã™ãŒã€æ¦‚念的ã«ã¯IDã®ä¸€æ„性ã®ã‚¹ã‚³ãƒ¼ãƒ—
Cassandraã¨HBaseã®æ¯”較ã—ã¦å…¥é–€ã™ã‚‹NoSQL
第10回Cassandra勉強会ã«ã¦ç™ºè¡¨ã—ãŸã‚¹ãƒ©ã‚¤ãƒ‰ã«ã€å‹‰å¼·ä¼šå¾Œã®ãƒ•ã‚£ãƒ¼ãƒ‰ãƒãƒƒã‚¯ã‚’åæ˜ ã•ã›ãŸç‰©ã§ã™ã€‚Read less
Secure HBase
Copyright © 2009-2015. All rights reserved. This blog is called myNoSQL and it is written by me, Alex Popescu, a software architect with a passion for open source and communities. It records my readings, learnings, and opinions on NoSQL databases, polyglot persistence, and distributed systems -- subjects that I'm passionate about. The opinions expressed here are my own, and no other party necessar
NoSQLã®æˆåŠŸã¯1:10å•é¡Œã«ã‹ã‹ã£ã¦ã„ã‚‹:Kenn's Clairvoyance
ã“ã“2-3å¹´ã»ã©ã€ã„ã‚ゆるéžSQL系データベースãŒãƒ›ãƒƒãƒˆãªè©±é¡Œã«ãªã£ã¦ãã¦ã„ã¾ã™ã€‚ã“ã®ãƒ ーブメントをç·ç§°ã—ã¦ã€ŒNoSQL (Not-only SQL)ã€ã¨å‘¼ã°ã‚Œã‚‹ã“ã¨ãŒå¤šã„よã†ã§ã™ã€‚ã¾ã‚‹ã§SQLã‚’å¦å®šã—ã¦ã„ã‚‹ã‹ã®ã‚ˆã†ãªèª¤è§£ã‚’æ‹›ãã‚„ã™ã„用語ã§ã™ãŒã€ã‹ã¨ã„ã£ã¦ã‚ー・ãƒãƒªãƒ¥ãƒ¼åž‹ãƒ‡ãƒ¼ã‚¿ã‚¹ãƒˆã‚¢ã‚„列指å‘DBã‚’ç·ç§°ã§ãã‚‹ä»–ã®å‘¼ã³æ–¹ã‚‚ãªã„ã®ã§ã€ã“ã®ã‚¨ãƒ³ãƒˆãƒªã§ã¯NoSQLã¨ã„ã†ç”¨èªžã‚’使ã†ã“ã¨ã«ã—ã¾ã™ã€‚ Oracleã‚„MySQLãªã©ã®SQLデータベースãŒæˆç†Ÿã—ã¦ã„ã一方ã§ã€SQLデータベースを特徴ã¥ã‘る弱点ã§ã‚る柔軟性ã®ãªã•ã€å …牢ã•ã¨å¼•ãæ›ãˆã«çŠ 牲ã«ãªã£ãŸæ›´æ–°æ€§èƒ½ã®ä½Žã•ã€ã‚¹ã‚±ãƒ¼ãƒ«ã‚¢ã‚¦ãƒˆã®é›£ã—ã•ãªã©ã‹ã‚‰ã€ã€Œä½•ã§ã‚‚ã‹ã‚“ã§ã‚‚RDBã€ã‹ã‚‰ã€Œç›®çš„ã«å¿œã˜ãŸæ°¸ç¶šåŒ–ã€ãŒæ¨¡ç´¢ã•ã‚Œã‚‹æµã‚Œã«ãªã£ã¦ãã¾ã—ãŸã€‚ 時をåŒã˜ãã—ã¦ã€ã‚ャッシュサーãƒã®ä¸–ç•Œã§ã‚‚ã€Memcachedã®ã‚‚ã¤ã‚·ãƒ³ãƒ—ルãªAPIã®ä½¿ã„ã‚„ã™ã•ãŒè©•ä¾¡ã•ã‚Œã‚‹ä¸€æ–¹ã€LRUã«ã‚ˆ
Apache Cassandra | Apache Cassandra Documentation
What is Apache Cassandra? Apache Cassandra is an open source NoSQL distributed database trusted by thousands of companies for scalability and high availability without compromising performance. Linear scalability and proven fault-tolerance on commodity hardware or cloud infrastructure make it the perfect platform for mission-critical data.
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Tokyo HBase Meetup - Realtime Big Data at Facebook with Hadoop and HBase (ja)
MongoDB
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