[B! datastore] satoshipã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

satoship id:satoship

datastoreã«é–¢ã™ã‚‹satoshipã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (9)

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VMware ãŒ SQLFire 1.0 ã‚’ãƒªãƒªãƒ¼ã‚¹
åŽŸæ–‡(æŠ•ç¨¿æ—¥ï¼š2012/01/31)ã¸ã®ãƒªãƒ³ã‚¯ VMware ã¯å…ˆæ—¥ï¼ŒSQLFire åˆã®å®‰å®šç‰ˆã‚’ãƒªãƒªãƒ¼ã‚¹ã—ãŸã€‚SQLFire ã¯é«˜å¯ç”¨æ€§ã¨æ°´å¹³ã‚¹ã‚±ãƒ¼ãƒ«æ€§ã‚’é‡è¦–ã—ãŸï¼Œåˆ†æ•£ SQL ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã§ã‚ã‚‹ã€‚ SQLFire ã¯å¤–éƒ¨çš„ã«ã¯ï¼ŒSQL ã‚¯ã‚¨ãƒªã®ã‚µãƒãƒ¼ãƒˆã‚„JDBC ãƒ‰ãƒ©ã‚¤ãƒ (.NET ç”¨ã‚µãƒãƒ¼ãƒˆã‚‚æä¾›ã•ã‚Œã‚‹) ãªã©ï¼Œå¾“æ¥ã®ãƒªãƒ¬ãƒ¼ã‚·ãƒ§ãƒŠãƒ«ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã‚·ã‚¹ãƒ†ãƒ ã«æœŸå¾…ã•ã‚Œã‚‹æ©Ÿèƒ½ã®å¤§éƒ¨åˆ†ã‚’ã‚µãƒãƒ¼ãƒˆã™ã‚‹ã€‚çµ„è¾¼ãƒ¢ãƒ¼ãƒ‰ (Java ãƒ—ãƒã‚»ã‚¹å†…éƒ¨ã¸ã®) ï¼Œã‚ã‚‹ã„ã¯ã‚¯ãƒ©ã‚¤ã‚¢ãƒ³ãƒˆã‚µãƒ¼ãƒã‚¢ãƒ¼ã‚ãƒ†ã‚¯ãƒãƒ£ã§é…ç½®å¯èƒ½ã§ã‚ã‚‹ã€‚JDBC ãƒ‰ãƒ©ã‚¤ãƒï¼Œã‚¯ã‚¨ãƒªã‚¨ãƒ³ã‚¸ãƒ³ï¼ŒSQLFire ç”¨ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã‚µãƒ¼ãƒãªã©ã‚’ Apache Derby ã‹ã‚‰ç›´æŽ¥å–ã‚Šè¾¼ã‚“ã§ã„ã‚‹ SQLFire ã¯ï¼Œã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã« SQL ã‚’ä½¿ç”¨ã—ã¦ã„ã‚‹ Java ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã§ã‚ã‚Œã°ï¼Œç†è«–ä¸Šã¯ãã®ç½®ãæ›ãˆã¨ã—ã¦å‹•ä½œã™ã‚‹ã¯ãšã ã€‚ ä¸€æ–¹ã§ SQLFire ã¯
satoship 2012/02/06
datastore
ãƒªãƒ³ã‚¯
https://jp.techcrunch.com/2011/06/07/20110606rethinkdb-expands-beyond-ssds-launches-its-speedy-database-to-the-public/
satoship 2011/06/12
datastore
ãƒªãƒ³ã‚¯
BrewersCapTheorem - ãƒ–ãƒªãƒ¥ãƒ¯ãƒ¼ã® CAP å®šç†
BrewersCapTheorem - ãƒ–ãƒªãƒ¥ãƒ¯ãƒ¼ã® CAP å®šç† ç›®æ¬¡ ã“ã®æ–‡æ›¸ã«ã¤ã„ã¦ ãƒ–ãƒªãƒ¥ãƒ¯ãƒ¼ã® CAP å®šç† - Amazon ã¨ eBay ã®ã‚¯ãƒ¼ãƒ«ã‚¨ã‚¤ãƒ‰ ãƒ–ãƒªãƒ¥ãƒ¯ãƒ¼ã®(CAP)å®šç† ä¸€è²«æ€§ (Consistency) å¯ç”¨æ€§ (Availability) åˆ†å‰²è€æ€§(Partition Tolerance) å®šç†ã®é‡è¦æ€§ å›³è§£ã§è¨¼æ˜Ž CAP ã¨æŠ˜ã‚Šåˆã† 1. åˆ†å‰²è€æ€§ã‚’è«¦ã‚ã‚‹ 2. å¯ç”¨æ€§ã‚’è«¦ã‚ã‚‹ 3. ä¸€è²«æ€§ã‚’è«¦ã‚ã‚‹ 4. BASE ã«è·³ã¶ 5. å•é¡Œã‚’ã‹ã‚ã—ã¦è¨è¨ˆã™ã‚‹ ã¾ã¨ã‚ å‚è€ƒæ–‡çŒ® ãƒ–ãƒªãƒ¥ãƒ¯ãƒ¼ã® CAP å®šç† ã“ã®æ–‡æ›¸ã«ã¤ã„ã¦ "Brewer's CAP Theorem - The kool aid Amazon and Ebay have been drinking" ã®æ—¥æœ¬èªžè¨³ã§ã™. http://www.julianbrowne.com/article/view
satoship 2010/11/01
datastore
ãƒªãƒ³ã‚¯
é«˜å¯†åº¦å°æ± ï¼ KVS ã‚’ä½¿ã£ã¦ Web ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã‚’ä½œã‚‹ã“ã¨ã«ã¤ã„ã¦
KVS ã‚’ä½¿ã£ã¦ Web ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã‚’ä½œã‚‹ã“ã¨ã«ã¤ã„ã¦ KVS ã‚’ä½¿ã£ã¦ Web ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã«ã¤ã„ã¦ã€ä¸€èˆ¬è«–ã€‚ å¾“æ¥ KVS ã¯ã€ã‚ãƒ£ãƒƒã‚·ãƒ¥ã‚„ç‰¹ã«æ›´æ–°ãŒæ¿€ã—ã„ãƒ‡ãƒ¼ã‚¿ã‚’ä¿å˜ã™ã‚‹ã“ã¨ã«ä¸»ã«ç”¨ã„ã‚‰ã‚Œã¦ã€ãƒ¡ã‚¤ãƒ³ã®ã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã«ã¯ RDBMS ã‚’ä½¿ã†ã“ã¨ãŒå¤šã‹ã£ãŸã‘ã©ã€ KVS ã‚’ãƒ¡ã‚¤ãƒ³ã®ã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã¨ã™ã‚‹ã‚¢ãƒ—ãƒãƒ¼ãƒã‚‚æœ€è¿‘ã„ãã¤ã‹ã‚ã‚‹ã€‚ KVS ã«ãƒ‡ãƒ¼ã‚¿ã‚’ä¿å˜ã™ã‚‹ã¨ã„ã†å ´åˆã€ Value ã«ã‚·ãƒªã‚¢ãƒ©ã‚¤ã‚ºã—ãŸãƒ‡ãƒ¼ã‚¿ã‚’ã¶ã¡ã“ã‚€ã¨ã„ã†ã‚±ãƒ¼ã‚¹ãŒå¤šã„ã®ã§ã¯ãªã‹ã‚ã†ã‹ã€‚ãã†ã™ã‚‹ã¨ã€æ¨™æº–çŠ¶æ…‹ã§ã¯ã€ã‚ãƒ¼ã§ã—ã‹æ¤œç´¢å‡ºæ¥ãªã„ã®ã§ã€ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã‚’è»¢ç½®ã™ã‚‹ã¨ã„ã†ã“ã¨ã«ãªã‚‹ã€‚ ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã®è»¢ç½®å…ˆã¨ã—ã¦ã¯ã€ Facebook ã‚„ SimpleResource ã§ã‚„ã£ã¦ã„ã‚‹ã‚ˆã†ã«ã€ RDBMS ã«è»¢ç½®ã™ã‚‹ã¨ã„ã†ã‚„ã‚Šæ–¹ã‚„ã€ Cassandra æŽ¡ç”¨å‰ã® Twitter ã®ã‚ˆã†ã« KVS ã«è»¢ç½®ã™ã‚‹ã¨ã„ã†ã‚„ã‚Šæ–¹ãŒã‚
satoship 2010/03/27
kvs

datastore
ãƒªãƒ³ã‚¯
Details on Yahoo's distributed database
The good folks at Yahoo Research published a paper at VLDB 2008, "PNUTS: Yahoo!'s Hosted Data Serving Platform" (PDF), that has juicy details on the massively distributed database behind most of Yahoo's web applications. An excerpt:We describe PNUTS, a massively parallel and geographically distributed database system for Yahoo!'s web applications. The foremost requirements of web applications are
satoship 2010/02/16
datastore

yahoo!
ãƒªãƒ³ã‚¯
Drizzleãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã®ç›®æŒ‡ã™ã‚‚ã®ã€ãã®å…ˆã‚’èªã‚€ï¼ˆ1/3ï¼‰ ï¼ ï¼ IT
ã‚¯ãƒ©ã‚¦ãƒ‰ã‚³ãƒ³ãƒ”ãƒ¥ãƒ¼ãƒ†ã‚£ãƒ³ã‚°ç’°å¢ƒã®ã‚ˆã†ãªâ€œmassively concurrentãªä¸–ç•Œâ€ã§ä½¿ãˆã‚‹ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã‚’ç›®æŒ‡ã™Drizzleã€‚ãã®é–‹ç™ºã®æ–¹å‘æ€§ã‹ã‚‰ã“ã‚Œã‹ã‚‰ã®Webã‚·ã‚¹ãƒ†ãƒ ã§æ±‚ã‚ã‚‰ã‚Œã‚‹ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®ã‚ã‚Šæ–¹ãŒè¦‹ãˆã‚‹ã‹ã‚‚ã—ã‚Œãªã„ã€‚ä¸€è¶³å…ˆã«Drizzleã«è§¦ã‚Œã¦ã¿ã‚ˆã†ï¼ˆç·¨é›†éƒ¨ï¼‰ Drizzleã¨ã¯ Drizzle ã¨ã¯ã€MySQLã®ã‚‚ã¨ã‚‚ã¨ã®ç›®æ¨™ã§ã‚ã‚‹ã€ä½¿ã„ã‚„ã™ã•ã€ä¿¡é ¼æ€§ã€ãã—ã¦ãƒ‘ãƒ•ã‚©ãƒ¼ãƒžãƒ³ã‚¹ã«é‡ç‚¹ã‚’ç½®ã„ãŸMySQLã®æ´¾ç”Ÿãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã§ã€Brian Akeræ°ï¼ˆç±³ã‚µãƒ³ãƒ»ãƒžã‚¤ã‚¯ãƒã‚·ã‚¹ãƒ†ãƒ ã‚º CTO/Labsï¼šå…ƒMySQL Director of Architectureï¼‰ã«ã‚ˆã£ã¦ç«‹ã¡ä¸Šã’ã‚‰ã‚Œã¾ã—ãŸã€‚ MySQLã¨æ¯”è¼ƒã—ã¦æ©Ÿèƒ½é¢ã«ãŠã‘ã‚‹Drizzleã®å¤§ããªé•ã„ã¯ã€ã‚µãƒ¼ãƒã‚¢ãƒ¼ã‚ãƒ†ã‚¯ãƒãƒ£ã‚’ãƒžã‚¤ã‚¯ãƒã‚«ãƒ¼ãƒãƒ«ã«ã™ã‚‹ã“ã¨ã§ã€ã‚µãƒ¼ãƒï¼ˆMySQLã§ã„ã†mysqldï¼‰ã«ã¯å¿…è¦æœ€å°é™ã®æ©Ÿèƒ½ã—ã‹æè¼‰ã›ãšã€ä»£ã‚ã‚Šã«
satoship 2010/01/14
datastore

dizzle
ãƒªãƒ³ã‚¯
How FriendFeed uses MySQL to store schema-less data - Bret Taylor's blog
Background We use MySQL for storing all of the data in FriendFeed. Our database has grown a lot as our user base has grown. We now store over 250 million entries and a bunch of other data, from comments and "likes" to friend lists. As our database has grown, we have tried to iteratively deal with the scaling issues that come with rapid growth. We did the typical things, like using read slaves and
satoship 2009/12/04
scalability

datastore
ãƒªãƒ³ã‚¯
Richard Jones | Anti-RDBMS: A list of distributed key-value stores | Richard Jones, Esq.
Please Note: this was written January 2009 - see the comments for updates and additional information. A lot has changed since I wrote this. Perhaps youâ€™re considering using a dedicated key-value or document store instead of a traditional relational database. Reasons for this might include: You're suffering from Cloud-computing Mania. You need an excuse to 'get your Erlang on' You heard CouchDB was
satoship 2009/02/27
datastore
ãƒªãƒ³ã‚¯
ã€Œã‚ãƒ¼ãƒ»ãƒãƒªãƒ¥ãƒ¼åž‹ãƒ‡ãƒ¼ã‚¿ã‚¹ãƒˆã‚¢ã€é–‹ç™ºè€…ãŒå¤§é›†åˆã—ãŸå¤œ
ã€Œç™ºè¡¨è€…ãŒè‡ªåˆ†ã‚ˆã‚Šã‚‚è‹¥ã„äººã°ã‹ã‚Šã ã€ã€‚å¤–è¦‹ãŒ20ä»£ã«ã—ã‹è¦‹ãˆãªã„æ±äº¬å·¥æ¥å¤§å¦ã®é¦–è—¤ä¸€å¹¸å‡†æ•™æŽˆï¼ˆ1973å¹´ç”Ÿï¼‰ã®é©šãã•ã¾ãŒã€å°‘ã—é¢ç™½ã‹ã£ãŸã€‚2009å¹´2æœˆ20æ—¥ã®å¤œã€å¤šãã®Webä¼æ¥ãŒæ³¨ç›®ã™ã‚‹ã€Œã‚ãƒ¼ãƒ»ãƒãƒªãƒ¥ãƒ¼åž‹ãƒ‡ãƒ¼ã‚¿ã‚¹ãƒˆã‚¢ã€ã‚’é–‹ç™ºã™ã‚‹è‹¥æ‰‹æŠ€è¡“è€…ãŒã€æ±äº¬ãƒ»å…æœ¬æœ¨ã®ã‚°ãƒªãƒ¼æœ¬ç¤¾ã«ä¸€å ‚ã«ä¼šã—ãŸã€‚ ã‚ãƒ¼ãƒ»ãƒãƒªãƒ¥ãƒ¼åž‹ãƒ‡ãƒ¼ã‚¿ã‚¹ãƒˆã‚¢ï¼ˆã¾ãŸã¯ã‚ãƒ¼ãƒ»ãƒãƒªãƒ¥ãƒ¼åž‹ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ï¼‰ã¯ã€å¤§é‡ã®ãƒ¦ãƒ¼ã‚¶ãƒ¼ã¨ãƒ‡ãƒ¼ã‚¿ã‚’æŠ±ãˆã€ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®ãƒ‘ãƒ•ã‚©ãƒ¼ãƒžãƒ³ã‚¹å•é¡Œã¨ã‚³ã‚¹ãƒˆé«˜ã«é ã‚’æ‚©ã¾ã›ã‚‹Webä¼æ¥ãŒæ³¨ç›®ã™ã‚‹æŠ€è¡“ã§ã‚ã‚‹ã€‚è¨˜è€…ã¯åŒæ—¥ã«é–‹å‚¬ã•ã‚ŒãŸã€ŒKey-Value Store å‹‰å¼·ä¼šã€ã«å‚åŠ ã•ã›ã¦ã‚‚ã‚‰ã£ãŸã€‚åˆå¾Œ7æ™‚ã‹ã‚‰11æ™‚ã¾ã§ã€ã‚ãƒ¼ãƒ»ãƒãƒªãƒ¥ãƒ¼åž‹ãƒ‡ãƒ¼ã‚¿ã‚¹ãƒˆã‚¢ã‚’é–‹ç™ºãƒ»ç ”ç©¶ã™ã‚‹è‹¥æ‰‹æŠ€è¡“è€…ãŒç«‹ã¦ç¶šã‘ã«ç™»å ´ã—ã€1äºº15åˆ†ã®æŒã¡æ™‚é–“ã§æˆæžœã‚’ç™ºè¡¨ã—ã€è°è«–ã‚’é‡ãã‚‹ã¨ã„ã†é›†ã¾ã‚Šã ã€‚ å‘¼ã³ã‹ã‘äººã§ã‚ã‚‹ãƒ—ãƒªãƒ•ã‚¡ãƒ¼ãƒ‰ã‚¤ãƒ³ãƒ•ãƒ©ã‚¹ãƒˆãƒ©ã‚¯ãƒãƒ£ãƒ¼ï¼ˆPFIï¼‰æœ€é«˜æŠ€è¡“è²¬ä»»è€…
satoship 2009/02/27
keyvalue

datastore
ãƒªãƒ³ã‚¯
1