月間10å„„pvを支ãˆã‚‹mongo db2. name: Yuji Isobe attributes: [ engineer consultant security specialist startup member of ]
Scala + MongoDB using Casbah and Salat with Maven and Eclipse | Devlop, Systems and thingies
Post navigation ↠Previous Scala + MongoDB using Casbah and Salat with Maven and Eclipse Intro This is a simple example on using MongoDB in Scala using the Casbah driver for MongoDB and Salat as the ODM (Object Document Mapping) as a Maven project and generating the eclipse project files to work with. Aside of the maven/eclipse part this comes from the slides from Brendan McAdams that I saw at Dev
Graylog2 and its MongoDB usage
Centralized logging is definitely not a new problem. syslogd was in use for ages, receiving your loosely-structured data over a loosely-defined protocol. Then some new implementations appeared, most notably syslog-ng and rsyslog. Then such cloud services as Splunk and Loggly arrived. Even syslog protocol is now more specific. But some parts are still missing: for example, simple but powerful web i
第6回MongoDB勉強会ã¾ã¨ã‚ - yohxxã®å¿˜ã‚Œç‰©
第6回MongoDB勉強会ã«å‚åŠ ã—ã¦ãã¾ã—ãŸã®ã§ã€å€‹äººçš„ãªã¾ã¨ã‚。 ã®å‰ã«ã€å¤§äº‹ãªã“ã¨ãªã®ã§å…ˆã«æ›¸ã„ã¦ãŠãã¾ã™ã€‚ 「第7回mongoDB勉強会ã€ãŒ11/15(ç«)ã«é–‹å‚¬æ±ºå®š ServerDensityã®@davidmyttonæ°æ¥æ—¥ãƒ»è¬›æ¼” 社会人ã®æ–¹ã¯MongoDB調査ã®ãŸã‚ã«ä»•äº‹ã¨ã—ã¦å‚åŠ ã™ã‚Œã°è‰¯ã„らã—ã„。 ã•ã‚‰ã«ã€ 1月第3週ã«10genã®ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã‚’招待ã—ã¦ã€ŒMongoDB Conference in Japanã€ã‚’開催予定 楽ã—ã¿ã§ã™ãã€œï¼ MongoDBã®ã‚³ãƒŸãƒ¥ãƒ‹ãƒ†ã‚£ãŒãƒ‰ãƒ³ãƒ‰ãƒ³ç››ã‚Šä¸ŠãŒã£ã¦ã‚‹æ„Ÿã˜ã§ã™ã€‚ ＜＜第6回ã®ç°¡å˜ãªãƒ¡ãƒ¢ï¼žï¼ž @doryokujin ã•ã‚“ ・MongoDB2.0リリースノート http://www.mongodb.org/pages/viewpage.action?pageId=24708318 MongoDBã®ä½•ãŒè‰¯ã„ã‹ã£ã¦æ—¥æœ¬èªžã®æƒ…å ±ã‚‚å……å®Ÿã—ã¦ã„ã‚‹ã¨ã“ã‚ã‚„
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
Cube
Time Series Data Collection & Analysis Cube is a system for collecting timestamped events and deriving metrics. By collecting events rather than metrics, Cube lets you compute aggregate statistics post hoc. It also enables richer analysis, such as quantiles and histograms of arbitrary event sets. Cube is built on MongoDB and available under the Apache License on GitHub. Collecting Data An event in
〜ã†ã¾ãå‹•ã‹ã™MongoDB〜仕組ã¿ã‚„挙動をç†è§£ã™ã‚‹ - doryokujin's blog
@doryokujinã§ã™ã€‚ã“ã®æ¥ç•Œã§éžå¸¸ã«å¼·ã„影響力をæŒã¤@kuwa_twæ°ãŒæŸå‹‰å¼·ä¼šã§MongoDBã«ã¤ã„ã¦disられã¦ãŠã‚Šã€ã“ã®ã¾ã¾ã§ã¯MongoDB自身ã®å˜ç¶šãŒå±ã†ã„ã¨æ€ã„ã€æ€¥é½ãƒ–ãƒã‚°æ›¸ãã¾ã—ãŸã€‚（冗談ã§ã™ã‚ˆï¼‰ ザ・ドã‚ュメント〜ã†ã¾ãã„ã‹ãªã„NoSQL〜 View more presentations from Akihiro Kuwano MongoDBを使ã£ã¦ã„ã‚‹ã¨ãã«å‡ºä¼šã†ãƒˆãƒ©ãƒ–ルをã†ã¾ãã¾ã¨ã‚ã¦ãã ã•ã£ãŸã€ŒMongoDBã‚ã‚‹ã‚ã‚‹ã€çš„ãªè‰¯ã„資料ã ã¨æ€ã„ã¾ã™ã€‚今日ã¯ã“ã“ã§æ›¸ã‹ã‚Œã¦ã„るトラブルã®è§£æ±ºæ–¹æ³•ã‚’æ示ã—ãŸã„ã¨æ€ã„ã¾ã™ã€‚æらã@kuwa_twæ°ã¯å…¨ã¦ã®è§£æ±ºæ–¹æ³•ã‚’知ã£ã¦ã„ãªãŒã‚‰ã€åŒã˜ãƒˆãƒ©ãƒ–ルã¸æ‚©ã‚€äººã®ãŸã‚ã«ã‚ãˆã¦disã£ãŸã®ã ã¨æ€ã„ã¾ã™ã€‚ MongoDB ã¯ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã‚‚コレクションもå˜åœ¨ã—ãªã‘ã‚Œã°è‡ªå‹•ä½œæˆã—ã¦ãれる mongoシェルを起動ã™ã‚‹å ´åˆã€ãŸã„ã¦ã„㯠$ mong
アクセスãƒã‚°ã‚’ã§ãã‚‹ã ã‘ã„ã‚ã„ã‚見る時ã®mapreduce + ニフティクラウドã§ã®ãƒ‘フォーマンス
アクセスãƒã‚°ã‚’ã§ãã‚‹ã ã‘ã„ã‚ã„ã‚見る時ã®mapreduce + ニフティクラウドã§ã®ãƒ‘フォーマンス { "author": "Muddy Dixon", "twitter": "@muddydixon", "place": "第2回 MongoDB JP 勉強会 in Tokyo" } 自己紹介 大å¦/大å¦é™¢ï¼š 自然言語処ç†ï¼šå½¢æ…‹ç´ 列検索・置æ›ã‚·ã‚¹ãƒ†ãƒ 言語発é”ã®è¨ˆç®—機シミュレーション(ElmanNet+SOMã¿ãŸã„ãª) å°±è·ï¼š 検索エンジン(ã®åºƒå‘Šæœ€é©åŒ–ã¨ã‹ コンテンツマッãƒã‚¨ãƒ³ã‚¸ãƒ³ã®è¨è¨ˆé–‹ç™ºã¨ã‹ エンジニアサãƒãƒ¼ãƒˆã®ä¸ã®äººã¨ã‹ データマイニング部門個人 å–り組㿠サービスãŒæ»ã¬ã»ã©å¤šã„&&è€èˆ—ãªã®ã§ã€è¿‘代的ãªè§£æžåŸºç›¤ãŒç„¡ã„ サービスãŒæ»ã¬ã»ã©å¤šã„&&è€èˆ—ãªã®ã§ã€ãƒã‚°ãƒ•ã‚©ãƒ¼ãƒžãƒƒãƒˆãŒç´ 敵 むりãã‚Šåˆã‚ã›ãŸãŸã‚ã«ã€GETパラメタãŒï½¶ï½µï½½ã«ãªã£ã¦ãŸã‚Šã™ã‚‹ ?area=0013&bus=2&e
The Joy of Indexing | Kyle Banker
September 21, 2010 We spend quite a lot of time at 10gen supporting MongoDB users. The questions we receive are truly legion but, as you might guess, they tend to overlap. We get frequent queries on sharding, replica sets, and the idiosyncrasies of JavaScript, but the one subject that never fails to appear each day on our mailing list is indexing. Now, to be clear, I’m not talking about how to cre
GitHub - jdegoes/blueeyes: A lightweight Web 3.0 framework for Scala, featuring a purely asynchronous architecture, extremely high-performance, massive scalability, high usability, and a functional, composable design.
BlueEyes is a lightweight, asynchronous web framework for the Scala programming language. The framework lets you quickly and easily create high-performing web services that embrace the machinery and language of HTTP. The framework tries to get out of your way and let you concentrate on logic instead of boilerplate. BlueEyes has been used in production across large clusters of instances deployed in
Welcome to the Casbah documentation — Casbah (MongoDB + Scala Toolkit Documentation v2.0.1 documentation
Welcome to the Casbah documentation¶ Welcome to the Casbah Documentation. Casbah is a Scala toolkit for MongoDB—We use the term “toolkit†rather than “driverâ€, as Casbah integrates a layer on top of the official mongo-java-driver for better integration with Scala. This is as opposed to a native implementation of the MongoDB wire protocol, which the Java driver does exceptionally well. Rather than
Pythonã§Webアプリ開発入門ã®ã‚¹ã‚¹ãƒ¡ Flask/MongoDB - mizchi log
TwitBlogin! http://twitblogin.com/ ã¨ã‹ä½œã£ãŸã“ã¨ã ã—ã€ãã“ãã“開発環境整ã£ã¦ã€ä»Šãªã‚‰æ€ã„ã¤ãé™ã‚Šã®ã‚µãƒ¼ãƒ“スã¯ã•ã£ãり実装ã§ããã†ã ã£ãŸã®ã§Pythonåˆå¿ƒè€…å‘ã‘ã«æ›¸ã„ã¦ãŠã。 å°‘ã—ã§ã‚‚PythonユーザãŒå¢—ãˆã‚Œã°å¹¸ã„。 対象㯠Python ã®åŸºæœ¬çš„ãªæ§‹æ–‡ç¨‹åº¦ã¯ã‚ã‹ã‚‹ã‘ã©ã€å…·ä½“çš„ã«ä½•ã‹ã‚‰æ‰‹ã‚’ã¤ã‘ã¦ã„ã„ã‹ã‚ã‹ã‚‰ãªã„人 目次 Apache/WSGI/MongoDBã®ç’°å¢ƒæ§‹ç¯‰ flask [ Sinatra風ウェブアプリケーションフレームワーク] pymongo [ MongoDBラッパー ] werkzeug [Web Application デãƒãƒƒã‚¬] jinja2 [ HTMLテンプレートビルダー ] pyquery [ jQuery風HTMLパーサ ] nose [ TDD ] ç´°ã‹ã„ライブラリã®ä½¿ã„æ–¹ã¨ã‹Python本体ã®è¨€èªžä»•æ§˜ã¨ã‹ã¯é©å½“ã«ããã£ã¦
Document Databases Compared: CouchDB, MongoDB, RavenDB
Brian Ritchie has two posts (☞ here and ☞ here) covering three document databases: CouchDB, MongoDB, and RavenDB concluding with the matrix below: But before using this as a reference material there are a couple of corrections needed: They have some special characteristics that make them kick some serious SQL. Objects can be stored as documents: The relational database impedance mismatch is gone.
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MongoDB: The Developer Data Platform
Quick time series visualization with Cube
http://www.iij.ad.jp/development/report/2010/__icsFiles/afieldfile/2011/02/21/techweek_20101117_4_hisashima.pdf
IBM Developer
GitHub - novus/salat: NOTE: This repo (Salat, simple serialization library for case classes) has moved: https://github.com/salat/salat
GitHub - alaz/mongo-scala-driver: - deprecated -
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