OpenTSDB - A Distributed, Scalable Monitoring System
How does OpenTSDB work? OpenTSDB consists of a Time Series Daemon (TSD) as well as set of command line utilities. Interaction with OpenTSDB is primarily achieved by running one or more of the TSDs. Each TSD is independent. There is no master, no shared state so you can run as many TSDs as required to handle any load you throw at it. Each TSD uses the open source database HBase or hosted Google Big
WebScaleSQL | "We're Gonna Need A Bigger Database"
What is WebScaleSQL? WebScaleSQL is a collaboration among engineers from several companies that face similar challenges in running MySQL at scale, and seek greater performance from a database technology tailored for their needs. Our goal in launching WebScaleSQL is to enable the scale-oriented members of the MySQL community to work more closely together in order to prioritize the aspects that are
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3. 講義内容 ï® åºè«– - 並列データベースã®å‰ã« ï® ä¸¦åˆ—å‡¦ç†ã®åŸºç¤Ž ï® ï® ä¸¦åˆ—å‡¦ç†ã®Terminology 並列計算機アーã‚テクãƒãƒ£ ï® ä¸¦åˆ—ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®ã‚¢ãƒ¼ã‚テクãƒãƒ£ ï® ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹å‡¦ç†ã®ä¸¦åˆ—化 ï® çµåˆå‡¦ç†ã®é«˜é€ŸåŒ– ï® ï® ï® ï® ä¸¦åˆ—ãƒãƒƒã‚·ãƒ¥çµåˆ 並列ソート パーティショニング手法 多é‡çµåˆã‚„計算機間ã®ãƒ‡ãƒ¼ã‚¿äº¤æ›ã§ç™ºç”Ÿã™ã‚‹å•é¡Œ ï® MapReduceã«ã‚ˆã‚‹é–¢ä¿‚演算ã®ä¸¦åˆ—å‡¦ç† 3 4. データベース開発ã®æµã‚Œ ï® Coddã®è«–æ–‡: 1970å¹´ ï® ï® ï® ï® System Rã‚„Ingres: 70年代ä¸ç›¤ Oracle, IBM DB2, Ingres: 80年代åºç›¤ 並列データベースã®éš†ç››: 80å¹´ä»£å¾ŒåŠ ï® ï® A Relational Model of Data for Large Shared Data Banks, Communications of ACM 商用
C# Database Basics
Read it now on the O’Reilly learning platform with a 10-day free trial. O’Reilly members get unlimited access to books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers. Working with data and databases in C# certainly can be daunting if you’re coming from VB6, VBA, or Access. With this hands-on guide, you’ll shorten the learning curve considerably as y
オラクルãŒNoSQLã«æœ¬æ°—。エンタープライズå‘ã‘「Oracle NoSQL Database 11gã€å…¬é–‹ã€‚ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ç‰ˆã‚‚ç™»å ´
米オラクルã¯ã‚¨ãƒ³ã‚¿ãƒ¼ãƒ—ライズå‘ã‘NoSQLデータベース「Oracle NoSQL Database 11gã€ã®å…¬é–‹ã‚’発表。評価版ã®ç„¡å„Ÿãƒ€ã‚¦ãƒ³ãƒãƒ¼ãƒ‰ã‚’開始ã—ã¾ã—ãŸã€‚オープンソースライセンスã«åŸºã¥ãコミュニティ版も準備ä¸ï¼ˆ10月26æ—¥ç¾åœ¨ã€ãƒ©ã‚¤ã‚»ãƒ³ã‚¹æ‰¿èªå¾…ã¡ï¼‰ã¨ã®ã“ã¨ã§ã™ã€‚ Oracle NoSQL Databaseã¯ã€åŒç¤¾ã®ã‚ーãƒãƒªãƒ¥ãƒ¼ã‚¹ãƒˆã‚¢ã§ã‚ã‚‹Oracle Berkeley DB Java Editionをベースã«ã€åˆ†æ•£å‡¦ç†æ©Ÿèƒ½ã€ãƒãƒ¼ãƒ‰ãƒãƒ©ãƒ³ã‚¹ã€ç®¡ç†æ©Ÿèƒ½ã€ãƒžãƒ«ãƒãƒŽãƒ¼ãƒ‰ãƒãƒƒã‚¯ã‚¢ãƒƒãƒ—機能ãªã©ã‚’è¿½åŠ ã—ãŸã‚‚ã®ã€‚大è¦æ¨¡ãªãƒ‡ãƒ¼ã‚¿ã‚’高速ã«æ‰±ã†ã“ã¨ãŒã§ãã€é«˜ã„å¯ç”¨æ€§ã¨ã‚¹ã‚±ãƒ¼ãƒ©ãƒ“リティを実ç¾ã™ã‚‹ã¨èª¬æ˜Žã•ã‚Œã¦ã„ã¾ã™ã€‚ 分散ã‚ーãƒãƒªãƒ¥ãƒ¼ã‚¹ãƒˆã‚¢ã§å˜ä¸€éšœå®³ç‚¹ã‚’排除 NoSQL Databaseã®åŸºæœ¬çš„ãªã‚¢ãƒ¼ã‚テクãƒãƒ£ã¯ã€ãƒ—ライマリã‚ーã®ãƒãƒƒã‚·ãƒ¥ã«ã‚ˆã£ã¦æŒ‡å®šã•ã‚ŒãŸãƒŽãƒ¼ãƒ‰ã«ã‚ーï¼ãƒãƒªãƒ¥ãƒ¼ã®ãƒšã‚¢ã‚’書ã込む分散ã‚ーãƒãƒªãƒ¥
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スライドã®ä½œè€…ã§ã‚ã‚‹Gleicon Moraesã¯ã€ã“れらã®å›³ã‚’示ã—ãŸä¸Šã§ã€ãƒªãƒ¬ãƒ¼ã‚·ãƒ§ãƒŠãƒ«ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã¯ã‚¬ãƒ テープã®ã‚ˆã†ã«ã¤ãŽã¯ãŽã§ä½¿ãˆã‚‹ã‚ˆã†ãªä¸‡èƒ½è–¬ã§ã¯ãªã„。シャーディングやéžæ£è¦åŒ–ãªã©ã¯æ¤œè¨Žã™ã¹ãよã„é¸æŠžè‚¢ã§ã‚ã‚Šã€ã¾ãŸãƒªãƒ¬ãƒ¼ã‚·ãƒ§ãƒŠãƒ«ä»¥å¤–ã®ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã‚‚é¸æŠžè‚¢ã¨ã—ã¦ã„れるã¨ã‚ˆã„ã ã‚ã†ã¨èª¬ã„ã¦ã„ã¾ã™ã€‚ ãã—ã¦æ¬¡ã®ã‚ˆã†ãªã€Œãƒªãƒ¬ãƒ¼ã‚·ãƒ§ãƒŠãƒ«ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®é–“é•ã£ãŸä½¿ã„æ–¹10é …ç›®ã€ã‚’示ã—ã¦ã„ã‚‹ã®ã§ã™ï¼ˆè¨³ã¯å‰è¿°ã®è¨˜äº‹ã€Œãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®é–“é•ã£ãŸä½¿ã„æ–¹10é …ç›®ã€ã‹ã‚‰ï¼‰ã€‚ Dynamic table creation（動的ãªãƒ†ãƒ¼ãƒ–ルã®ä½œæˆï¼‰ Table as cache（テーブルをã‚ャッシュã¨ã—ã¦ä½¿ã†ï¼‰ Table as queue（テーブルをã‚ューã¨ã—ã¦ä½¿ã†ï¼‰ Table as log file（テーブルをãƒã‚°ã¨ã—ã¦ä½¿ã†ï¼‰ Distributed Global Locking（分散ã—ãŸã‚°ãƒãƒ¼ãƒãƒ«ãªãƒãƒƒã‚¯ï¼‰
Architecture by Accident
This document discusses how architecture emerges even when not initially planned. It begins with an overview of databases, message queues, and caching as common architectural elements that emerge over time. The document then provides examples of how simple applications and data needs can evolve into more complex architectures with multiple servers, databases, caching, and services. It emphasizes t
Data Development GPS: Guidance for Choosing the Right Data Access Technology for Your Application Today :: 2010 :: North America :: Microsoft Tech·Ed
Home Top Rated Browse By Region North America India Africa Japan Australia New Zealand Middle East Europe Latin America China Browse By Subject Application Server & Infrastructure Architecture BI: Customer Business Value BI: Empower End Users BI: Improve Organizational Effectiveness BI: Increase IT and Developer Efficiency BI: Partner Services & Solutions Delivery BI:Keynote Cloud Computing & Onli
「NoSQLã€ã‚’上回る性能を目指ã™æ¬¡ä¸–代型高速SQLデータベース「VoltDBã€ç™»å ´ | OSDN Magazine
ベンãƒãƒ£ãƒ¼ä¼æ¥ã®ç±³VoltDBã¯5月25日（米国時間）ã€ã‚ªãƒ¼ãƒ—ンソースã®ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã‚·ã‚¹ãƒ†ãƒ 「VoltDB 1.0.1ã€ã‚’リリースã—ãŸã€‚高速ã€æ‹¡å¼µæ€§ã€ACIDéµå®ˆãªã©ã‚’特徴ã¨ã™ã‚‹æ¬¡ä¸–代DBMSã¨ã—ã¦ã„る。 VoltDBã¯ã€ŒPostgresã€ã€ŒIngresã€ãªã©ã®ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã‚’å…±åŒã§å‰µå§‹ã—ãŸMichael Stonebrakeræ°ãŒè¨è¨ˆã—ãŸã‚‚ã®ã§ã€Stonebrakeræ°ãŒéžå¸¸å‹¤æ•™æŽˆã‚’å‹™ã‚るマサãƒãƒ¥ãƒ¼ã‚»ãƒƒãƒ„工科大（MIT）ã€ãƒ–ラウン大å¦ã€ã‚¤ã‚§ãƒ¼ãƒ«å¤§å¦ã€HP Labsã®å…±åŒç ”究「H-Storeã€ãŒãƒ™ãƒ¼ã‚¹ã¨ãªã£ã¦ã„る。 VoltDBã¯è±Šå¯Œãªãƒ¡ãƒ¢ãƒªã‚„マルãƒã‚³ã‚¢CPUã‚’å‚™ãˆãŸã‚·ã‚¹ãƒ†ãƒ ã«æœ€é©åŒ–ã•ã‚Œã¦ãŠã‚Šã€ãƒ‡ãƒ¼ã‚¿ã‚’分散ã•ã›ã¦ãƒ¡ãƒ¢ãƒªå†…ã«é…ç½®ã™ã‚‹ã“ã¨ã§é£›èºçš„ã«æ€§èƒ½ã‚’改善ã—ã¦ã„ã‚‹ã¨ã„ã†ã€‚データベースエンジンã¯ãƒžãƒ«ãƒã‚¹ãƒ¬ãƒƒãƒ‰ã§å‹•ä½œã—ã€ãƒ‡ãƒ¼ã‚¿ã¯åˆ†å‰²ã•ã‚Œã¦å„スレッドã«é…ç½®ã•ã‚Œã‚‹ã€‚ãã‚Œãžã‚Œã®ã‚¹ãƒ¬ãƒƒãƒ‰ã¯ãƒãƒƒ
NoSQL databases
This document provides an overview of NoSQL databases and compares them to relational databases. It discusses the different types of NoSQL databases including key-value stores, document databases, wide column stores, and graph databases. It also covers some common concepts like eventual consistency, CAP theorem, and MapReduce. While NoSQL databases provide better scalability for massive datasets,
データベースã¯ç›®çš„別ã«ä½¿ã„分ã‘ã‚‹ã¹ã—
元マイクãƒã‚½ãƒ•ãƒˆã®SQL Server開発ãƒãƒ¼ãƒ ã®ä¸€å“¡ã§ã‚ã‚Šã€ãã®å¾Œãƒžã‚¤ã‚¯ãƒã‚½ãƒ•ãƒˆã®ãƒ‡ãƒ¼ã‚¿ã‚»ãƒ³ã‚¿ãƒ¼ã®ã‚¢ãƒ¼ã‚テクトã¨ã—ã¦æ´»èºã€‚昨年アマゾンã«ç§»ç±ã—ã¦ã€ç¾åœ¨ã¯Amazon Web Servicesã®ä¸Šç´šã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã§ã‚ã‚‹James Hamiltonæ°ãŒã€è‡ªèº«ã®ãƒ–ãƒã‚°ã®ã€ŒOne Size Does Not Fit Allã€ã¨ã„ã†ã‚¨ãƒ³ãƒˆãƒªã§ã€ãƒªãƒ¬ãƒ¼ã‚·ãƒ§ãƒŠãƒ«ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã ã‘ã«ã¨ã©ã¾ã‚‰ãªã„幅広ã„データベースã®ç¨®é¡žã‚’4ã¤ã«åˆ†é¡žã—ã¦ç´¹ä»‹ã—ã¦ã„ã¾ã™ã€‚ 4ã¤ã®ç¨®é¡žã¨ã¯ã€Œæ©Ÿèƒ½å„ªå…ˆã€ã€Œã‚¹ã‚±ãƒ¼ãƒ©ãƒ“リティ優先ã€ã€Œã‚·ãƒ³ãƒ—ルã€ã€Œç›®çš„別ã€ã§ã™ã€‚ Hamiltonæ°ã¯ã€ã‚¢ãƒžã‚¾ãƒ³ãŒAmazonクラウドã§MySQLã®ã‚µãƒ¼ãƒ“スを開始ã—ãŸã¨ã“ã‚ã€ä»¥å‰ã‹ã‚‰æä¾›ã—ã¦ã„ãŸã‚ーãƒãƒªãƒ¥ãƒ¼åž‹ãƒ‡ãƒ¼ã‚¿ã‚¹ãƒˆã‚¢ã®ã€ŒSimpleDBã€ã¯çµ‚了ã™ã‚‹ã®ã§ã¯ãªã„ã‹ã¨å¿ƒé…ã™ã‚‹å£°ãŒã‚ã£ãŸã“ã¨ã‚’挙ã’〠I can understand why some might co
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よãMySQLã¯ã‚µãƒ–クエリãŒå¼±ã„ã¨è¨€ã‚れるãŒã€ã“ã‚Œã¯æœ¬å½“ã ã‚ã†ã‹ï¼ŸåŠåˆ†ã¯æœ¬å½“ã§åŠåˆ†ã¯å˜˜ã§ã‚る。MySQLã®ã‚µãƒ–クエリã ã£ã¦ãªã‚“ã§ã‚‚ã‹ã‚“ã§ã‚‚é…ã„ã‚ã‘ã§ã¯ãªã„。è½ã¨ã—ç©´ã‚’ã—ã£ã‹ã‚Šé¿ã‘ã€ä½¿ã„ã©ã“ã‚ã‚’é–“é•ãˆãªã‘ã‚Œã°ã‚µãƒ–クエリも高速ã«å®Ÿè¡Œã§ãã‚‹ã®ã§ã‚る。今日ã¯MySQLãŒã©ã‚“ãªé¢¨ã«ã‚µãƒ–クエリを実行ã—ã€ã©ã®ã‚ˆã†ãªå ´åˆã«é…ã„ã®ã‹ã¨ã„ã†ã“ã¨ã«ã¤ã„ã¦èª¬æ˜Žã—よã†ã€‚ EXPLAINã§å®Ÿè¡Œè¨ˆç”»ã‚’調ã¹ãŸéš›ã«ã€select_typeã«ã¯ã‚¯ã‚¨ãƒªã®ç¨®é¡žãŒè¡¨ç¤ºã•ã‚Œã‚‹ã®ã ãŒã€ä»£è¡¨çš„ãªã‚µãƒ–クエリã«ã¯æ¬¡ã®3ã¤ã®ãƒ‘ターンãŒã‚る。 SUBQUERY DEPENDENT SUBQUERY DERIVED çµè«–ã‹ã‚‰è¨€ãŠã†ã€‚é…ã„ã®ã¯2番目ã€DEPENDENT SUBQUERYã§ã‚る。DEPENDENT SUBQUERYã¨ã¯ã„ã‚ゆる相関サブクエリã«ç›¸å½“ã™ã‚‹ã‚‚ã®ã§ã€ã‚µãƒ–クエリã«ãŠã„ã¦å¤–部クエリã®ã‚«ãƒ©ãƒ ã‚’å‚ç…§ã—ã¦ã„るサブクエリã®ã“ã¨ã§ã‚る。ãã—
mixi Engineers’ Blog » Tokyo Tyrantã«ã‚ˆã‚‹è€é«˜è² è·DBã®æ§‹ç¯‰
連休ä¸ã¯Wiiã®ãƒžãƒªã‚ªã‚«ãƒ¼ãƒˆã‚’ã‚„ã‚Šã¾ãã£ã¦ã‚„ã£ã¨VR7000越ãˆãŸmikioã§ã™ã€‚愛車ã¯ãƒžãƒƒãƒãƒ»ãƒã‚¤ã‚¯ã¨ã‚¤ãƒ³ã‚¿ãƒ¼ã‚»ãƒ—ターã§ã™ã€‚ã•ã¦ä»Šå›žã¯ã€åˆ†æ•£ãƒãƒƒã‚·ãƒ¥ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã‚µãƒ¼ãƒTokyo Tyrantã§mixiã®æœ€çµ‚ãƒã‚°ã‚¤ãƒ³æ™‚刻を管ç†ã™ã‚‹ã‚ˆã†ã«ã—ãŸæ™‚ã®è‹¦åŠ´è©±ã‚’書ãã¾ã™ã€‚ ãƒã‚°ã‚¤ãƒ³å‡¦ç†ã¯è² è·åœ°ç„ mixiã§ã¯ã€å…¨ã¦ã®ãƒ¦ãƒ¼ã‚¶ã«ã¤ã„ã¦ã€å„々ã®æœ€çµ‚ãƒã‚°ã‚¤ãƒ³æ™‚刻を管ç†ã—ã¦ã„ã¾ã™ã€‚「マイミクシィ一覧ã€ã‚„「ãŠæ°—ã«å…¥ã‚Šã€ãªã©ã®ç”»é¢ã§ã€å‹äººãŒè¿‘ã„時間ã«ãƒã‚°ã‚¤ãƒ³ã—ã¦ã„ã¦ã‚³ãƒŸãƒ¥ãƒ‹ã‚±ãƒ¼ã‚·ãƒ§ãƒ³ãŒã¨ã‚Šã‚„ã™ã„状態ã«ã‚ã‚‹ã‹ã©ã†ã‹ç¢ºèªã§ãるよã†ã«ã™ã‚‹ãŸã‚ã§ã™ã€‚ mixiã®ã»ã¼å…¨ã¦ã®ãƒšãƒ¼ã‚¸ã¯ãƒã‚°ã‚¤ãƒ³ã—ãªã„ã¨è¦‹ã‚‰ã‚Œãªã„ページãªã®ã§ã€ã»ã¼å…¨ã¦ã®ãƒšãƒ¼ã‚¸ã«ã‚¢ã‚¯ã‚»ã‚¹ã•ã‚Œã‚‹ãŸã³ã«ãƒã‚°ã‚¤ãƒ³ç¢ºèªãŒè¡Œã‚ã‚Œã¾ã™ã€‚ã—ãŸãŒã£ã¦ã€æœ€çµ‚ãƒã‚°ã‚¤ãƒ³æ™‚刻ã¯ã»ã¼å…¨ã¦ã®ãƒšãƒ¼ã‚¸ã«ã‚¢ã‚¯ã‚»ã‚¹ã•ã‚Œã‚‹åº¦ã«æ›´æ–°ã•ã‚Œã‚‹ã“ã¨ã«ãªã‚Šã¾ã™ã€‚mixiã®ä¸ã§æœ€ã‚‚é‡ã„データベースã®ã²ã¨ã¤ã¨ã—ã¦ã€Œ
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Clustrix - Scale-out RDBMS
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