[B! Database] yyamanoã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

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Databaseã«é–¢ã™ã‚‹yyamanoã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (36)

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Railsè¤‡æ•°DBã‚·ã‚¹ãƒ†ãƒ MySQLã‹ã‚‰PostgreSQLç§»è¡Œç‰©èªž | TECHSCORE BLOG | TECHSCORE BLOG
ã“ã‚“ã«ã¡ã¯ã€ä¸‰è‹«ã§ã™ã€‚ ã“ã®è¨˜äº‹ã¯TECHSCORE Advent Calendar 2014ã€5æ—¥ç›®ã®è¨˜äº‹ã§ã™ã€‚ è¿‘å¹´ã€Railsè¤‡æ•°DB Casual TalksãŒé–‹å‚¬ã•ã‚Œã‚‹ãªã©ã€Railsã§ã‚‚è¤‡æ•°ãƒ»ç•°ç¨®ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹æ··åœ¨ã—ãŸã‚·ã‚¹ãƒ†ãƒ æ§‹æˆã¯ä½•ã‚‰ç‰¹åˆ¥ã§ãªã‚‚ã®ã§ã¯ãªãé€šå¸¸ã®é–‹ç™ºã§ã‚«ã‚¸ãƒ¥ã‚¢ãƒ«ã«é¸æŠžã•ã‚Œã‚‹æ§‹æˆã ãžã¨ã„ã†æ©Ÿé‹ãŒé«˜ã¾ã£ã¦ã„ã¾ã™ã€‚ togetterã§å‚åŠ è€…ã®åå¿œã‚’è¦‹ã¦ã‚‚ã€ã€Œestablish_connectionã¯åŸºæœ¬ã€ã€Œå‰ã«ã‚‚è¦‹ãŸãžã“ã®ã‚¹ãƒ©ã‚¤ãƒ‰ã€ãªã©ã€ãŠãŠã‚€ãçŸ¥è¦‹ãŒæ¥ç•Œå…¨ä½“ã«åºƒã¾ã‚Šã¤ã¤ã‚ã‚‹äº‹ãŒã‚ã‹ã‚Šã¾ã™ã€‚ æœ¬è¨˜äº‹ã¯Railsè¤‡æ•°DBãŒã¾ã ã‚«ã‚¸ãƒ¥ã‚¢ãƒ«ã§ã¯ãªã„æ™‚ä»£ã€ãƒžãƒ«ãƒãƒ†ãƒŠãƒ³ãƒˆã‚·ã‚¹ãƒ†ãƒ ã®ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã‚’MySQLã‹ã‚‰PostgreSQLã«ã€å„ã‚µãƒ–ã‚·ã‚¹ãƒ†ãƒ ã¯ç¸®é€€ã—ã¤ã¤ã‚‚ã€ã‚·ã‚¹ãƒ†ãƒ å…¨ä½“ã¨ã—ã¦ã¯ç„¡åœæ¢ã§ç§»è¡Œã‚’è¡Œã£ãŸè¨˜éŒ²ã‚’å…±æœ‰ã™ã‚‹ãŸã‚ã®ã‚‚ã®ã§ã™ã€‚ ç§»è¡Œã—ãŸã‚·ã‚¹ãƒ†ãƒ ã®å‰æ ãƒžãƒ«ãƒãƒ†ãƒŠãƒ³ãƒˆã‚·ã‚¹ãƒ†ãƒ
yyamano 2014/12/05
Rails

Database
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http://gotocon.com/dl/goto-chicago-2013/gotonightslides/dbasvalue.pdf
yyamano 2013/04/10
Database
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Making Snapshot Isolation Serializableã€€å†è€ƒ - æ€¥ãŒã°å›žã‚Œã€é¸ã¶ãªã‚‰è¿‘é“
Making Snapshot Isolation Serializable å†è€ƒ â– 2013å¹´çš„ãªä½ç½®ä»˜ã‘ ã¾ãšã¡ã‚‡ã†ã©å¹´åº¦ã®é–‹å§‹ãªã®ã§ã€ä»Šå¹´ã¯è‡ªåˆ†çš„ã«ã¯RDBMSé–¢é€£ã®ä½ç½®ä»˜ã‘ã¨ã‹æ•´ç†ã—ã¦ãŠãã¾ã™ã€‚åŽ»å¹´ã®å¾ŒåŠã‚ãŸã‚Šã‹ã‚‰ã®åŒ‚ã„ã§ã™ãŒã€NoSQLçš„ãªç™ºå±•ã¨åˆã‚ã›ã¦ã€æœ¬æ ¼çš„ãªDBå›žå¸°ãŒå§‹ã¾ã£ã¦ã„ã‚‹æ„Ÿã˜ã§ã™ã€‚NoSQLç³»ã®ã»ã¼è‡´å‘½çš„ãªå¼±ç‚¹ã®ä¸€ã¤ãŒtransactionå‡¦ç†ã§ã‚ã‚‹ã“ã¨ã¯æŒ‡æ‘˜ã‚‚å¤šã„ã¨ã“ã‚ã§ã™ã€‚è¦ã™ã‚‹ã«ãƒ‡ãƒ¼ã‚¿ãŒæ›¸ãè¾¼ã‚ã¦ã‚‚ä¸æ•´åˆãŒç™ºç”Ÿã—ã¾ã™ãã€ã¨ã„ã†ã“ã¨ã«ãªã£ã¦ã—ã¾ã„ã¾ã™ã€‚ã“ã‚Œã§ã¯ãªã‹ãªã‹ä½¿ãˆãªã„ã€ã¨ã„ã†ã®ãŒç¾çŠ¶ã§ã—ã‚‡ã†ã€‚ ãªã®ã§ã€RDBMã®æœ€è‰¯ã®ãƒŽã‚¦ãƒã‚¦ã§ã‚ã‚‹transactionå‡¦ç†ã¨NoSQLçš„ãªåˆ†æ•£å‡¦ç†ã‚’ã¡ã‚ƒã‚“ã¨æ•´åˆæ€§ã¨ã‚Œã‚‹ã‚ˆã†ã«ã—ã¾ã—ã‚‡ã†ã€ã¨ã„ã†è‡ªç„¶ãªæµã‚Œã¯å¾“å‰ã‚ˆã‚Šã‚‚ã‚ˆã‚Šå¼·ã„è¦è«‹ãŒåƒãã§ã—ã‚‡ã†ã€‚(ã§ãã‚‹ã‹ã©ã†ã‹ã¯åˆ¥ã§ã™ãŒã€‚) ãã‚Œã§ã€ãã‚ãã‚ãªã‚“ã‹ãã®æ‰‹ã®ã‚‚ã®ãŒRDBMSã‚µ
yyamano 2013/04/01
Database
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Performance data for LevelDB, Berkley DB and BangDB for RandomÂ Operations - High Scalability -
This is a guest post by Sachin Sinha, Founder of Iqlect and developer of BangDB. The goal for the paper is to provide the performances data for following embedded databases under various scenarios for random operations such as write and read. The data is presented in graphical manner to make the data self explanatory to some extent. LevelDB:LevelDB is a fast key-value storage library written at Go
yyamano 2012/12/04
Database
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Spanner: Google's Globally-Distributed Database
Spanner is Google's scala ble, multi-version, globally-distributed, and synchronously-replicated database. It is the first system to distribute data at global scale and support externally-consistent distributed transactions. This paper describes how Spanner is structured, its feature set, the rationale underlying various design decisions, and a novel time API that exposes clock uncertainty. This AP
yyamano 2012/10/01
Spanner is Google's scalable, multi-version, globally-distributed, and synchronously-replicated database.

Large Scale Systems

Database
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ã‚¤ãƒ³ãƒ¡ãƒ¢ãƒªãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã¯å°†æ¥ã®ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã‚¢ãƒ¼ã‚ãƒ†ã‚¯ãƒãƒ£ã®ä¸å¿ƒã ã€ã¨SAP
ã‚µã‚¤ãƒ™ãƒ¼ã‚¹ã‚’è²·åŽã—ã€ã¤ã„ã«ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹å¸‚å ´ã¸ã®æœ¬æ ¼å‚å…¥ã‚’å®£è¨€ã—ãŸSAPã€‚ã—ã‹ã—åŒç¤¾ã®ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹æˆ¦ç•¥ã®ä¸å¿ƒã«æ®ãˆã‚‹è£½å“ã¯ã€é•·å¹´ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹å¸‚å ´ã‚’æˆ¦ã£ã¦ããŸã‚µã‚¤ãƒ™ãƒ¼ã‚¹è£½å“ã§ã¯ãªãã€åŒç¤¾ãŒæ–°ãŸã«é–‹ç™ºã—ãŸã‚¤ãƒ³ãƒ¡ãƒ¢ãƒªãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®HANAã§ã™ã€‚ åŒç¤¾ã®ãƒãƒ¼ãƒ‰ãƒžãƒƒãƒ—ã«ã‚ˆã‚‹ã¨ã€ä»Šå¾Œã‚µã‚¤ãƒ™ãƒ¼ã‚¹ã¯HANAã«ãƒ—ãƒ©ã‚°ã‚¤ãƒ³ã™ã‚‹å½¢ã§HANAã«çµ±åˆã•ã‚Œã¦ã„ãã“ã¨ã«ãªã£ã¦ã„ã¾ã™ã€‚ ãªãœSAPãŒHANAã‚’ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹æˆ¦ç•¥ã®ä¸å¿ƒã¨è€ƒãˆã¦ã„ã‚‹ã®ã‹ã€ãã‚Œã¯åŒç¤¾ãŒã€ã‚¤ãƒ³ãƒ¡ãƒ¢ãƒªãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã“ãå°†æ¥ã®ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã‚¢ãƒ¼ã‚ãƒ†ã‚¯ãƒãƒ£ã®ä¸å¿ƒã«ãªã‚‹ã¨è€ƒãˆã¦ã„ã‚‹ãŸã‚ã§ã™ã€‚ åŒç¤¾ã®CTO ãƒ“ã‚·ãƒ£ãƒ«ãƒ»ã‚·ãƒƒã‚«ï¼ˆVishal Sikkaï¼‰æ°ã¯ã€5æœˆ3æ—¥ä»˜ã‘ã®åŒç¤¾ã®ãƒ–ãƒã‚°ã«ã€ŒThe SAP HANA Effectã€ã¨ã„ã†ã‚¿ã‚¤ãƒˆãƒ«ã§ã€ã‚¤ãƒ³ãƒ¡ãƒ¢ãƒªãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®é©æ–°æ€§ã«ã¤ã„ã¦ä¸»å¼µã—ã¦ã„ã¾ã™ã€‚ã¡ã‚‡ã†ã©ãã®æ—¥æœ¬èªžè¨³ãŒã€SAPã‚¸ãƒ£ãƒ‘ãƒ³ã®ãƒ–ãƒã‚°ï¼ˆæœ€è¿‘å§‹ã¾ã£ãŸã‚ˆã†ã§ã™
yyamano 2012/05/15
Database

SAP
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MIT Software Allows Queries On Encrypted Databases - Slashdot
yyamano 2011/12/23
Database

Security
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Paper: Hyder - Scaling Out without PartitioningÂ - High Scalability -
Partitioning is what differentiates scaling-out from scaling-up, isn't it? I thought so too until I read Pat Helland's blog post on Hyder, a research database at Microsoft, in which the database is the log, no partitioning is required, and the database is multi-versioned. Not much is available on Hyder. There's the excellent summary post from Mr. Helland and these documents: Scaling Out without Pa
yyamano 2010/11/11
Large Scale Systems

Database
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Is the NoSQL Meeting Announcing the End of the RDBMS Era?
InfoQ Software Architects' Newsletter A monthly overview of things you need to know as an architect or aspiring architect. View an example
yyamano 2009/09/26
Database

Large Scale Systems
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BJ Clark â€“ Blog
It seems we cant find what you are looking for. Perhaps searching can help.
yyamano 2009/08/11
Database
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Project Voldemort
Voldemort is a distributed key-value storage system Data is automatically replicated over multiple servers. Data is automatically partitioned so each server contains only a subset of the total data Server failure is handled transparently Pluggable serialization is supported to allow rich keys and values including lists and tuples with named fields, as well as to integrate with common serialization
yyamano 2009/07/25
Voldemort is a distributed key-value storage system

Database
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Building a Highly Scalable, Open Source Twitter Clone
yyamano 2009/07/25
osconã®ãƒžãƒ†ãƒªã‚¢ãƒ«ã€‚kvsã€doc-orientedã€column-orientedã¨ã„ã†åˆ†é¡žã€‚

Database
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Tokyo Cabinet: Beyond Key-Value Store - igvita.com
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
yyamano 2009/07/24
Database
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The RDBMS is not enough.
InfoQ Software Architects' Newsletter A monthly overview of things you need to know as an architect or aspiring architect. View an example
yyamano 2009/07/15
Database

Large Scale Systems
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Archived MSDN and TechNet Blogs | Microsoft Docs
Archived MSDN and Tech Net Blogs 2/7/2020 2 minutes to read MSDN and Tech Net blog sites have been retired, and blog content has been migrated and archived here. Archived blogs are grouped alphabetically by the initial letter of the blog name. Blogs and blog posts can be searched by their names, using the Search box at the top of the page. Actively updated blogs have been moved to other blog sites,
yyamano 2009/07/15
Azure

Database
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æ¤œç´¢: centos - Hoster-JP
æœ¬ï¼·ï¼¥ï¼¢ã‚µã‚¤ãƒˆã¯åˆ©ç”¨è€…ã®é–²è¦§æ€§ã‚’å‘ä¸Šã™ã‚‹ãŸã‚ã«ä½¿ç”¨çŠ¶æ³ã‚’Cookieã§åŽé›†ã—ã¦ã„ã¾ã™ã€‚ã“ã®ã‚µã‚¤ãƒˆã‚’å¼•ãç¶šãé–²è¦§ã™ã‚‹å ´åˆã¯ã€Cookieã®ä½¿ç”¨ã«åŒæ„ã—ãŸäº‹ã¨ãªã‚Šã¾ã™ã€‚ å—ã‘å…¥ã‚Œã‚‹
yyamano 2009/07/15
CouchDB

Database
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Tokyo Cabinet
Tokyo Cabinet is the successor of QDBM, a high performance database library similar to the DBM family. It also supports hash and B-tree databases and does not require any server process. The overall speed is improved compared to QDBM.
yyamano 2009/07/15
Database
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XMLãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã§ä¼æ¥ã®8å‰²ã‚’å ã‚ã‚‹éžæ§‹é€ åŒ–ãƒ‡ãƒ¼ã‚¿ã‚’ç®¡ç†ã™ã‚‹
XMLã«é–¢é€£ã™ã‚‹ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ã‚„ã‚·ã‚¹ãƒ†ãƒ æ§‹ç¯‰å¸‚å ´ã‚‚æ‹¡å¤§ã—ã¦ã„ã‚‹ã€‚æœŸå¾…ã®ã‹ã‹ã‚‹XMLå¸‚å ´ã‚’ç‰½å¼•ã™ã‚‹ã®ã¯ã©ã‚“ãªã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ãƒ†ã‚¯ãƒŽãƒã‚¸ãƒ¼ãªã®ã‹ã€‚ XMLã®åŸºæœ¬ä»•æ§˜ã§ã‚ã‚‹1.0ãŒW3Cï¼ˆWorld Wide Web Consortiumï¼‰ã«å‹§å‘Šã•ã‚ŒãŸã®ã¯1998å¹´2æœˆã®ã“ã¨ã ã€‚6å¹´å¾Œã®2004å¹´2æœˆã«ã¯æœ€æ–°ã®XML1.1ãŒå‹§å‘Šã•ã‚Œã€ç¾åœ¨ã¾ã§7å¹´ä½™ã‚Šã®æ³æœˆã‚’çµŒã¦ã€XMLã¯åŸºç›¤æŠ€è¡“ã¨ã—ã¦ã®åœ°ä½ã‚’æ™‚é–“ã‚’ã‹ã‘ã‚†ã£ãã‚Šã¨å›ºã‚ã¦ããŸã€‚SOAï¼ˆã‚µãƒ¼ãƒ“ã‚¹æŒ‡å‘ã‚¢ãƒ¼ã‚ãƒ†ã‚¯ãƒãƒ£ï¼‰ã‚„EAï¼ˆã‚¨ãƒ³ã‚¿ãƒ¼ãƒ—ãƒ©ã‚¤ã‚ºã‚¢ãƒ¼ã‚ãƒ†ã‚¯ãƒãƒ£ï¼‰ã€Webã‚µãƒ¼ãƒ“ã‚¹ãªã©ã€æœ€è¿‘ã®ITæ¥ç•Œã‚’ç‰½å¼•ã™ã‚‹ã‚ãƒ¼ãƒ¯ãƒ¼ãƒ‰ã¨ã¨ã‚‚ã«ã€XMLã¯ãƒ“ã‚¸ãƒã‚¹åˆ†é‡Žã§ã‚‚é¦´æŸ“ã¿ã®ã‚ã‚‹è¨€è‘‰ã®1ã¤ã¨ãªã£ãŸã€‚ ãã‚Œã«åˆã‚ã›ã¦ã€XMLã«é–¢é€£ã™ã‚‹ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ã‚„ã‚·ã‚¹ãƒ†ãƒ æ§‹ç¯‰å¸‚å ´ã‚‚æ‹¡å¤§ã—ã¦ã„ã‚‹ã€‚æœŸå¾…ã®ã‹ã‹ã‚‹XMLå¸‚å ´ã‚’ç‰½å¼•ã™ã‚‹ã®ã¯ã©ã‚“ãªã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ãƒ†ã‚¯ãƒŽãƒã‚¸ãƒ¼ãªã®ã‹ã€‚ ã€Œãƒªãƒ¬ãƒ¼ã‚·ãƒ§ãƒŠãƒ«ãƒ‡ãƒ¼ã‚¿ãƒ¼ãƒ™ãƒ¼ã‚¹
yyamano 2009/07/15
Database
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OPC Diary: Key-Value Store(s)ã¨ã„ã†æµã‚Œ
Â« Canonã¯CAPTãƒ—ãƒªãƒ³ã‚¿ã®64bitç‰ˆãƒ‰ãƒ©ã‚¤ãƒãƒ¼ã‚’å‡ºã›!! | ãƒ¡ã‚¤ãƒ³ 2009å¹´02æœˆ27æ—¥ Key-Value Store(s)ã¨ã„ã†æµã‚Œ ã¯ã˜ã‚ã¯å¤§è¦æ¨¡ãªWebã‚µãƒ¼ãƒ“ã‚¹ã‚’æä¾›ã™ã‚‹ç¾å ´ã®å·¥å¤«ã«å§‹ã¾ã£ãŸåˆ†æ•£ã‚ãƒ£ãƒƒã‚·ãƒ¥æŠ€è¡“ã€ã“ã‚ŒãŒæœ€è¿‘ã§ã¯ã‚ãƒ£ãƒƒã‚·ãƒ¥ã®ã¿ãªã‚‰ãšãƒ‡ãƒ¼ã‚¿ã®ãƒ¬ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã€æ°¸ç¶šåŒ–ã‚‚å¯èƒ½ã¨ãªã‚ŠKey-Value Store(KVS)ã¨è¨€ã‚ã‚Œã‚‹ã‚ˆã†ã«ãªã£ãŸã€‚ å®Ÿè³ªçš„ã«Oracleã‚„IBMã®ããé«˜ã„ã‚¤ãƒ³ãƒ¡ãƒ¢ãƒªãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã«ã‹ãªã‚Šè¿‘ã¥ã„ã¦ãã¦ã„ã‚‹ãŒã€ãã‚Œã‚‰ãŒãƒ¡ãƒ¢ãƒªä¸Šã«RDBMSã‚’æ§‹ç¯‰ã™ã‚‹ç‰©ã§ã‚ã‚‹ã®ã«å¯¾ã—ã€KVSã¯ã‚ãƒ¼å€¤ã¨ãƒ‡ãƒ¼ã‚¿ã¨ã„ã†ã‚‚ã£ã¨å˜ç´”ãªãƒ‡ãƒ¼ã‚¿æ§‹é€ ã‚’æŒã¤ã®ãŒå¤§ããªé•ã„ã ã€‚ ã‚¹ã‚±ãƒ¼ãƒ«ã‚¢ã‚¦ãƒˆã«ã‚ˆã‚‹è² è·åˆ†æ•£ã‚’å‰æã¨ã™ã‚‹å¤§è¦æ¨¡ãªWebã‚µãƒ¼ãƒ“ã‚¹ã‚„ãƒ¦ãƒ¼ãƒ†ã‚£ãƒªãƒ†ã‚£ã‚³ãƒ³ãƒ”ãƒ¥ãƒ¼ãƒ†ã‚£ãƒ³ã‚°ã«ã¨ã£ã¦RDBMSã‚’å‰æã¨ã™ã‚‹OLTPã®è€ƒãˆæ–¹ã¯ãã‚ŒãŒãƒœãƒˆãƒ«ãƒãƒƒã‚¯ã«ãªã‚Šã€ãƒ‘ãƒ•ã‚©ãƒ¼ãƒžãƒ³ã‚¹ã¨å†—é•·æ€§ã«
yyamano 2009/07/15
Large Scale Systems

Database
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yyamano 2009/07/15
Large Scale Systems

Database
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