[B! database] InoHiroã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

InoHiro id:InoHiro

databaseã«é–¢ã™ã‚‹InoHiroã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (32)

${{author_name}}$

{{{comment_expanded}}}

{{label}}

{{#is_bookmark}}ãƒªã‚¹ãƒˆ{{/is_bookmark}}{{^is_bookmark}}ãƒªãƒ³ã‚¯{{/is_bookmark}}

${{author_name}}$
{{author_name}}{{created}}
{{ #comment }}{{ comment }}{{ /comment }}
- {{ label }}

${{author_name}}$

{{{comment_expanded}}}

{{label}}

{{#is_bookmark}}ãƒªã‚¹ãƒˆ{{/is_bookmark}}{{^is_bookmark}}ãƒªãƒ³ã‚¯{{/is_bookmark}}

å¤§è¦æ¨¡ãªãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã‚’ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã¸ç§»è¡Œã™ã‚‹éš›ã®ã‚«ãƒ†ã‚´ãƒªåˆ†ã‘ã¨å„ªå…ˆåº¦ã¥ã‘ | Amazon Web Services
ã“ã®ãƒ–ãƒã‚°ã®ç›®çš„ä¸Šã€ç§»è¡Œãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã‚’è¨ˆç”»ã™ã‚‹ãƒ—ãƒã‚»ã‚¹ã¯ã€åˆ†æžã¨è¨ˆç”»ã€ã‚¹ã‚ãƒ¼ãƒžç§»è¡Œã€ãƒ‡ãƒ¼ã‚¿ç§»è¡Œã€ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ç§»è¡Œã€ãŠã‚ˆã³ã‚«ãƒƒãƒˆã‚ªãƒ¼ãƒãƒ¼ã®5ã¤ã®ä½œæ¥é ˜åŸŸã«åˆ†é¡žã§ãã¾ã™ã€‚ ç§»è¡Œã®æ‰€è¦æ™‚é–“ã¯ã€é€šå¸¸ã€ç§»è¡ŒãŠã‚ˆã³ãƒ†ã‚¹ãƒˆã®ãƒ•ã‚§ãƒ¼ã‚ºã§ã©ã®ãã‚‰ã„ã®æ™‚é–“ã‚’è²»ã‚„ã™ã‹ã«ã‚ˆã£ã¦ç•°ãªã‚Šã¾ã™ã€‚ ã„ãã¤ã‹ã®ç§»è¡Œã‚’ä¸¦è¡Œã—ã¦è¨ˆç”»ã—ã¦ã„ã‚‹å ´åˆã¯ã€ã©ã¡ã‚‰ã®ç§»è¡ŒãŒæœ€ã‚‚æ™‚é–“ãŒã‹ã‹ã‚‹ã®ã‹ã€æœ€åˆã«å–ã‚Šçµ„ã‚€ã“ã¨ãŒã§ãã‚‹ã®ã‹ã€è¿…é€Ÿã«å–ã‚Šçµ„ã‚€ã“ã¨ãŒã§ãã‚‹ã®ã‹ã‚’ç†è§£ã™ã‚‹å¿…è¦ãŒã‚ã‚Šã¾ã™ã€‚ ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã«ç§»è¡Œã™ã‚‹éš›ã«æœ€åˆã«åˆ†æžã™ã‚‹ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®å„ªå…ˆé †ä½ä»˜ã‘ã¯ã€ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹å†…ã§ç‹¬è‡ªã®ã‚³ãƒ¼ãƒ‰ãŒã©ã‚Œãã‚‰ã„ä½¿ç”¨ã•ã‚Œã¦ã„ã‚‹ã‹ã«å·¦å³ã•ã‚Œã¾ã™ã€‚ ä½¿ç”¨ã—ã¦ã„ã‚‹ãƒ—ãƒãƒ—ãƒ©ã‚¤ã‚¨ã‚¿ãƒªã‚³ãƒ¼ãƒ‰ã®é‡ã¯ã€ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã®ç§»è¡Œæ®µéšŽã§ãã‚Œã‚’å¤‰æ›ã—ã¦ãƒ†ã‚¹ãƒˆã™ã‚‹ã®ã«ã‹ã‹ã‚‹æ™‚é–“ã«å½±éŸ¿ã—ã¾ã™ã€‚ ã‚«ãƒ†ã‚´ãƒªãƒ¼ã¨åŸºæº–ã‚’è¨å®šã—ãŸå¾Œã«ã€ãƒ‡ã‚£ã‚¯ã‚·ãƒ§ãƒŠãƒªã‚¯ã‚¨ãƒªã‚’ä½¿ç”¨ã—ã¦ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã‚’ãƒ¯ãƒ¼
InoHiro 2017/10/10
AWS

database
ãƒªãƒ³ã‚¯
ä¼šç¤¾ãŒå€’ç”£ã—ã¦ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ã¨ãªã£ãŸNoSQLã€ŒRethinkDBã€ã€‚æœ€åˆã®ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ç‰ˆã€ŒRethinkDB 2.3.6ã€ãŒå…¬é–‹
ä¼šç¤¾ãŒå€’ç”£ã—ã¦ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ã¨ãªã£ãŸNoSQLã€ŒRethinkDBã€ã€‚æœ€åˆã®ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ç‰ˆã€ŒRethinkDB 2.3.6ã€ãŒå…¬é–‹ RethinkDBã¯åŒåã®ä¼æ¥ReghinkDBç¤¾ãŒé–‹ç™ºã—ã¦ã„ãŸNoSQLãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã§ã€JSONå½¢å¼ã‚’å‡¦ç†ã§ãã‚‹é«˜é€Ÿãªåˆ†æ•£ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã¨ã—ã¦ãƒ¢ãƒã‚¤ãƒ«ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã®ãƒãƒƒã‚¯ã‚¨ãƒ³ãƒ‰ã‚„ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ ãƒ‡ãƒ¼ã‚¿å‡¦ç†ãªã©ã‚’å¾—æ„ã¨ã—ã¦ã„ã¾ã—ãŸã€‚ ã—ã‹ã—æ®‹å¿µãªãŒã‚‰ãƒ“ã‚¸ãƒã‚¹é¢ã§æˆåŠŸã§ããšã€åŒç¤¾ã¯2016å¹´10æœˆã«å€’ç”£ã€‚2017å¹´2æœˆã«ã¯ã€åŒç¤¾ã®ã‚³ãƒ¼ãƒ‰ã‚„ãƒ‰ã‚ãƒ¥ãƒ¡ãƒ³ãƒˆã€ãƒˆãƒ¬ãƒ¼ãƒ‰ãƒžãƒ¼ã‚¯ãªã©ã®çŸ¥çš„è²¡ç”£ãŒã€Kubernetesã®é–‹ç™ºãªã©ã‚’ä¸»å°Žã™ã‚‹Cloud Native Computing Foundationã«è²·ã„å–ã‚‰ã‚Œã€Apache Licenseã«ãƒ©ã‚¤ã‚»ãƒ³ã‚¹ã—ç›´ã•ã‚Œã¦ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹åŒ–ã•ã‚Œã‚‹ã“ã¨ãŒç™ºè¡¨ã•ã‚Œã¾ã—ãŸã€‚ ãã—ã¦7æœˆ17æ—¥ä»˜ã‘ã§ã€ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹åŒ–ã•ã‚Œã¦ã¯ã˜ã‚ã¦ã‚³ãƒŸãƒ¥ãƒ‹ãƒ†ã‚£ã«
InoHiro 2017/07/28
oss

database
ãƒªãƒ³ã‚¯
B Treeã¨B+ Treeã®é•ã„ - Carpe Diem
æ¦‚è¦ ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã«å¯¾ã—ã¦Mongo DBã¯B Treeã‚’æŽ¡ç”¨ã—ã€MySQLã®InnoDBã¯B+ Treeã‚’æŽ¡ç”¨ã—ã¦ã„ã¾ã™ã€‚ ã©ã†ã—ã¦æŽ¡ç”¨ã—ã¦ã„ã‚‹ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ãŒé•ã†ã®ã ã‚ã†ï¼Ÿã¨æ€ã£ã¦èª¿ã¹ã¦ã¿ã¾ã—ãŸã€‚ ä¸»ãªé•ã„ B+ Treeã¯ã»ã¨ã‚“ã©B Treeã¨åŒã˜ã§ã™ãŒã€ä»¥ä¸‹ã®ç‚¹ãŒç•°ãªã‚Šã¾ã™ã€‚ ãƒªãƒ¼ãƒ•ãƒŽãƒ¼ãƒ‰ã¨ãƒªãƒ¼ãƒ•ãƒŽãƒ¼ãƒ‰ã‚’çµã¶ãƒã‚¤ãƒ³ã‚¿ãŒã‚ã‚‹ ãƒ‡ãƒ¼ã‚¿ã¯ãƒªãƒ¼ãƒ•ãƒŽãƒ¼ãƒ‰ã®ã¿ã«ä¿æŒã™ã‚‹ å…·ä½“ä¾‹ è¨€è‘‰ã ã‘ã ã¨åˆ†ã‹ã‚Šã«ãã„ã®ã§ã€Visualizeã™ã‚‹ãƒ„ãƒ¼ãƒ«ã‚’ä½¿ã£ã¦å…·ä½“ä¾‹ã‚’è¡¨ç¤ºã—ã¾ã™ã€‚ [1, 2, 3, 4, 5, 6, 8, 10, 15, 18]ã¨ã„ã†æ•°åˆ—ã«å¯¾ã—ã€Order: 3ã§ä½œã£ã¦ã¿ã¾ã™ã€‚ Orderã¯ï¼‘ãƒŽãƒ¼ãƒ‰ã‹ã‚‰å‡ºã‚‹æžã®æ•°ã®ã“ã¨ã§ã™ã€‚ B Tree B-Tree Visualization B+ Tree B+ Tree Visualization å…ˆç¨‹ã®B Treeã¨é•ã£ã¦ã€ãƒ‡ãƒ¼ã‚¿ã¯ãƒªãƒ¼ãƒ•ãƒŽãƒ¼ãƒ‰ã«æŒã¤ã®
InoHiro 2017/07/19
algorithm

database
ãƒªãƒ³ã‚¯
æ™‚ç³»åˆ—ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã«é–¢ã™ã‚‹åŸºç¤ŽçŸ¥è˜ã¨æ™‚ç³»åˆ—ãƒ‡ãƒ¼ã‚¿ã®ç¬¦å·åŒ–æ–¹å¼ã«ã¤ã„ã¦ - ã‚¯ãƒƒã‚¯ãƒ‘ãƒƒãƒ‰é–‹ç™ºè€…ãƒ–ãƒã‚°
ã“ã‚“ã«ã¡ã¯ã€‚ã‚¤ãƒ³ãƒ•ãƒ©ã‚¹ãƒˆãƒ©ã‚¯ãƒãƒ£ãƒ¼éƒ¨ SRE ã‚°ãƒ«ãƒ¼ãƒ—ã®å‰å· ( @rrreeeyyy ) ã§ã™ã€‚ä»ŠæœŸã‚ªã‚¹ã‚¹ãƒ¡ã®ã‚¢ãƒ‹ãƒ¡ã¯ãƒ„ã‚¤ãƒ³ã‚¨ãƒ³ã‚¸ã‚§ãƒ« BREAK ã§ã™ã€‚ æ™®æ®µã®æ¥å‹™ä¸¦ã³ã«è¶£å‘³ã®ä¸€ç’°ã¨ã—ã¦ã€ã‚µãƒ¼ãƒã®ãƒ¢ãƒ‹ã‚¿ãƒªãƒ³ã‚°ç’°å¢ƒã®èª¿æŸ»ã‚„æ”¹å–„ã«å–ã‚Šçµ„ã‚“ã§ã„ã¾ã™ã€‚ ãã“ã§æœ¬ç¨¿ã§ã¯ã€ãƒ¢ãƒ‹ã‚¿ãƒªãƒ³ã‚°ã®ã‚³ãƒ³ãƒãƒ¼ãƒãƒ³ãƒˆã®ä¸€ã¤ã¨ã—ã¦å¤–ã™ã“ã¨ãŒå‡ºæ¥ãªã„ã€æ™‚ç³»åˆ—ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®åŸºç¤ŽçŸ¥è˜ã«é–¢ã—ã¦ç´¹ä»‹ã—ã¾ã™ã€‚ ãã‚‚ãã‚‚æ™‚ç³»åˆ—ãƒ‡ãƒ¼ã‚¿ãƒ»æ™‚ç³»åˆ—ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã¨ã¯ï¼Ÿ æ™‚ç³»åˆ—ãƒ‡ãƒ¼ã‚¿ã¨ã„ã†ã®ã¯ã€ç‰¹å®šã®æ™‚é–“ã”ã¨ã«ä½•ã‚‰ã‹ã®å€¤ã‚’å–å¾—ã—ãŸéš›ã®ã€å–å¾—ã—ãŸä¸€é€£ã®å€¤ã‚’æŒ‡ã—ã¾ã™ã€‚ ä¾‹ãˆã°ã€ä»¥ä¸‹ã®ã‚ˆã†ãªãƒ•ã‚©ãƒ¼ãƒžãƒƒãƒˆã‚’ã—ãŸãƒ‡ãƒ¼ã‚¿ãªã©ã¯æ™‚ç³»åˆ—ãƒ‡ãƒ¼ã‚¿ã«ã‚ãŸã‚‹ã§ã—ã‚‡ã†ã€‚ timestamp1,key,value1 timestamp2,key,value2 timestamp3,key,value3 : æ™‚ç³»åˆ—ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã¨ã¯ã€ä¸Šè¨˜ã®ã‚ˆã†ãªæ™‚ç³»åˆ—ãƒ‡ãƒ¼ã‚¿ã®ä¿å˜ãƒ»å‡¦ç†ã«
InoHiro 2017/05/31
è©³ã—ã„

time-series

database
ãƒªãƒ³ã‚¯
ï¼»é€Ÿå ±ï¼½ãƒžã‚¤ã‚¯ãƒã‚½ãƒ•ãƒˆãŒã‚°ãƒãƒ¼ãƒãƒ«è¦æ¨¡ã®åˆ†æ•£NoSQLãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã€ŒAzure Cosmos DBã€ç™ºè¡¨ã€‚æ•°ãƒŸãƒªç§’ã®ãƒ¬ã‚¤ãƒ†ãƒ³ã‚·ä¿è¨¼ã€ä¸€è²«æ€§ã®å¼·ã•ã‚’é¸æŠžã€‚Build 2017
ç±³ãƒžã‚¤ã‚¯ãƒã‚½ãƒ•ãƒˆã¯ã‚·ã‚¢ãƒˆãƒ«ã§é–‹ç™ºè€…å‘ã‘ã‚¤ãƒ™ãƒ³ãƒˆã€ŒMicrosoft Build 2017ã€ã§ã€ã‚°ãƒãƒ¼ãƒãƒ«ã«åˆ†æ•£ã—ãŸå¤§è¦æ¨¡NoSQLãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã€ŒAzure Cosmos DBã€ã‚’ç™ºè¡¨ã—ã¾ã—ãŸã€‚ Cosmos DBã¯ãƒ‡ãƒ¼ã‚¿ã‚’è‡ªå‹•çš„ã«ãƒ¦ãƒ¼ã‚¶ãƒ¼ã®è¿‘ãã®ãƒªãƒ¼ã‚¸ãƒ§ãƒ³ã«ãƒ¬ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã™ã‚‹ã“ã¨ã§ã€ã©ã®ãƒ¦ãƒ¼ã‚¶ãƒ¼ã«å¯¾ã—ã¦ã‚‚é«˜é€Ÿãªã‚¢ã‚¯ã‚»ã‚¹ã‚’å®Ÿç¾ã—ã€ã‹ã¤ã‚°ãƒãƒ¼ãƒãƒ«ãªè¦æ¨¡ã§åˆ†æ•£ã—ãŸã‚·ã‚¹ãƒ†ãƒ ã¨ã—ã¦ç¨¼åƒã™ã‚‹å¤§è¦æ¨¡åˆ†æ•£ãƒ‡ãƒ¼ã‚¿ãƒ¼ãƒ™ãƒ¼ã‚¹ã€‚ æ•°ã‚®ã‚¬ãƒã‚¤ãƒˆç¨‹åº¦ã‹ã‚‰æ•°ãƒšã‚¿ãƒã‚¤ãƒˆã¾ã§ã®ãƒ‡ãƒ¼ã‚¿å®¹é‡ã¨ã€ç§’é–“æ•°ç™¾ãƒˆãƒ©ãƒ³ã‚¶ã‚¯ã‚·ãƒ§ãƒ³ã‹ã‚‰æ•°ç™¾ãƒžãƒ³ãƒˆãƒ©ãƒ³ã‚¶ã‚¯ã‚·ãƒ§ãƒ³ã¾ã§ã®æ€§èƒ½ã¾ã§ã€å¹…åºƒã„ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹è¦æ¨¡ã‚’ã‚«ãƒãƒ¼ã™ã‚‹ã¨ã¨ã‚‚ã«ã€éžå¸¸ã«å¤§è¦æ¨¡ãªãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®å±•é–‹ãŒå¯èƒ½ãªé«˜ã„ã‚¹ã‚±ãƒ¼ãƒ©ãƒ“ãƒªãƒ†ã‚£ãŒç‰¹é•·ã§ã™ã€‚ ã¾ãŸã€ãƒ‡ãƒ¼ã‚¿ãƒ¢ãƒ‡ãƒ«ã¨ã—ã¦ã€ã‚ãƒ¼ãƒãƒªãƒ¥ãƒ¼åž‹ã€ãƒ‰ã‚ãƒ¥ãƒ¡ãƒ³ãƒˆåž‹ã€ã‚«ãƒ©ãƒ ãƒ•ã‚¡ãƒŸãƒªãƒ¼åž‹ã€ã‚°ãƒ©ãƒ•åž‹ãŒé¸æŠžã§ãã€ãƒ‡ãƒ¼ã‚¿ã¸ã‚¢ã‚¯ã‚»ã‚¹ã™ã‚‹APIã‚‚DocumentDBã‚„M
InoHiro 2017/05/12
MSã‚‚åœ°çƒãƒ¬ãƒ™ãƒ«DBã¨ãª

database

Microsoft
ãƒªãƒ³ã‚¯
ç±³MSã€ã€Œæƒ‘æ˜Ÿè¦æ¨¡ã€ã§ã‚¹ã‚±ãƒ¼ãƒ«ã™ã‚‹ã€ŒAzure Cosmos DBã€ã‚’ç™ºè¡¨
ç±³Microsoftã¯2017å¹´5æœˆ10æ—¥ï¼ˆç±³å›½æ™‚é–“ï¼‰ã€æ–°ã—ã„ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ï¼ˆDBï¼‰ã®ã‚¯ãƒ©ã‚¦ãƒ‰ã‚µãƒ¼ãƒ“ã‚¹ã€ŒAzure Cosmos DBã€ã‚’ç™ºè¡¨ã—ãŸã€‚ã€ŒMicrosoft Azureã€ã®ä¸–ç•Œ30ã‚«æ‰€ä»¥ä¸Šã‚ã‚‹ã€Œãƒªãƒ¼ã‚¸ãƒ§ãƒ³ã€ï¼ˆãƒ‡ãƒ¼ã‚¿ã‚»ãƒ³ã‚¿ãƒ¼ç¾¤ï¼‰ã«ãƒ‡ãƒ¼ã‚¿ã‚’åˆ†æ•£ä¿å˜ã—ãªãŒã‚‰ã€ä¸€è²«æ€§ã‚’ä¿ã£ã¦ãƒ‡ãƒ¼ã‚¿ã‚’åˆ©ç”¨ã§ãã‚‹ã¨ã„ã†é«˜ã„æ‹¡å¼µæ€§ã‚’æŒã¤ã®ãŒç‰¹å¾´ã€‚10æ—¥ã«ç±³ã‚·ã‚¢ãƒˆãƒ«ã§é–‹å¹•ã—ãŸã€ŒMicrosoft Build 2017ã€ã§ç™ºè¡¨ã—ãŸã€‚ 10æ—¥ã®åŸºèª¿è¬›æ¼”ã«ç™»å£‡ã—ãŸåŒç¤¾ã‚¯ãƒ©ã‚¦ãƒ‰ï¼†ã‚¨ãƒ³ã‚¿ãƒ¼ãƒ—ãƒ©ã‚¤ã‚ºã‚°ãƒ«ãƒ¼ãƒ—æ‹…å½“ã‚¨ã‚°ã‚¼ã‚¯ãƒ†ã‚£ãƒ–ãƒ»ãƒã‚¤ã‚¹ãƒ»ãƒ—ãƒ¬ã‚¸ãƒ‡ãƒ³ãƒˆã®Scott Guthrieæ°ã¯ã€ŒCosmos DBã¯ã€ã‚¹ãƒ«ãƒ¼ãƒ—ãƒƒãƒˆã‚„ãƒˆãƒ©ãƒ³ã‚¶ã‚¯ã‚·ãƒ§ãƒ³æ€§èƒ½ã‚’ç„¡åˆ¶é™ã«æ‹¡å¼µå¯èƒ½ã§ã‚ã‚‹ã¨åŒæ™‚ã«ã€æ§˜ã€…ãªãƒ‡ãƒ¼ã‚¿ã‚¿ã‚¤ãƒ—ã«å¯¾å¿œã§ãã‚‹ã¨ã„ã†ã€æ–°ã—ã„ã‚¿ã‚¤ãƒ—ã®ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã«æ±‚ã‚ã‚‰ã‚Œã‚‹ã‚ã‚‰ã‚†ã‚‹ã‚·ãƒŠãƒªã‚ªã«é©ã—ãŸãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã ã€ã¨å¼·èª¿ã—ãŸï¼ˆå†™çœŸ1ï¼‰ã€‚ Cosmos
InoHiro 2017/05/12
MSã‚‚åœ°çƒè¦æ¨¡DB, Dryadæ‡ã‹ã—ã„ï¼ˆä½¿ã‚ã‚Œã¦ã„ãªã„ã¨ã®ã“ã¨ï¼‰

Microsoft

database
ãƒªãƒ³ã‚¯
åœ°ç†åˆ†æ•£DBã«ã¤ã„ã¦
Database Lounge Tokyo #4 https://database-lounge-tokyo.connpass.com/event/54855/ ã§è©±ã—ãŸè³‡æ–™ã€‚ å‹•ç”»ã¯ã“ã£ã¡ https://www.youtube.com/watch?time_continue=1&v=VTEAJHJHIpY
InoHiro 2017/04/30
Transaction

database
ãƒªãƒ³ã‚¯
åˆ—æŒ‡å‘ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®ãƒšãƒ¼ã‚¸ã®ãƒ‡ãƒ¼ã‚¿æ§‹é€ - ablog
è¡ŒæŒ‡å‘ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã¯è¡Œå˜ä½ã§ãƒšãƒ¼ã‚¸(Oracle Database ã§ã„ã†ãƒ‡ãƒ¼ã‚¿ãƒ–ãƒãƒƒã‚¯)ã«ãƒ‡ãƒ¼ã‚¿ã‚’æ ¼ç´ã—ã¦ã„ã‚‹ã®ã«å¯¾ã—ã¦ã€åˆ—æŒ‡å‘ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã¯åˆ—ã”ã¨ã«ãƒšãƒ¼ã‚¸ã«æ ¼ç´ã—ã¦ã„ã‚‹ã€‚ã‚¯ã‚¨ãƒªå®Ÿè¡Œæ™‚ã«çµæžœã‚»ãƒƒãƒˆã‚’è¿”ã™éš›ã«åˆ—åˆ¥ã«ãƒãƒ©ãƒãƒ©ã®ãƒšãƒ¼ã‚¸ã«æ ¼ç´ã•ã‚Œã¦ã„ã‚‹ãƒ‡ãƒ¼ã‚¿ã‚’ã©ã†ã‚„ã£ã¦ã‚¿ãƒ—ãƒ«(ãƒ¬ã‚³ãƒ¼ãƒ‰)ã«å¾©å…ƒã—ã¦ã„ã‚‹*1ã®ã‹ã¨æ€ã£ãŸãŒã‚„ã¯ã‚Šè¡ŒIDã®ã‚ˆã†ãªã‚‚ã®ã‚’æŒã£ã¦ã„ã‚‹ã‚ˆã†ã ã€‚ è¡ŒID ã¯ C-Store ã§ã¯ pidã€Monet DB ã§ã¯ BAT(Binary Association Tables) ã® oid ã¨å‘¼ã°ã‚Œã¦ã„ã‚‹ã€‚ The Design and Implementation of Modern Column-Oriented Database Systems NSM(N-ary Storage Model): è¡Œæ–¹å‘ã§ãƒ–ãƒãƒƒã‚¯ï¼ˆãƒšãƒ¼ã‚¸ï¼‰ã«ãƒ‡ãƒ¼ã‚¿ã‚’æ ¼ç´ã™ã‚‹æ–¹å¼ DSM(Decomposition
InoHiro 2017/04/21
columnar

database
ãƒªãƒ³ã‚¯
A Look at How Postgres Executes a Tiny Join - Pat Shaughnessy
Reading the Postgres source code is like attending a free Computer Science lecture, complete with working examples. Aside from saving and retrieving data, the primary feature of a relational database is the ability to execute join queries, to relate data in one table with data from another. While many developers are turning to NoSQL solutions, joining one set of data values with another rem ains on
InoHiro 2017/04/15
postgresql

database
ãƒªãƒ³ã‚¯
KASKUSTOTO ~ Daftar Bandar Toto Terbaik Dengan Pelayanan Toto Togel 4D Tercepat
Belanja di App banyak untungnya: Banyak Vouchernya Produk Eksklusif di App Rekomendasi Hanya Untukmu Paling Pertama Dapat Promo
InoHiro 2017/03/25
database
ãƒªãƒ³ã‚¯
Schedule - CMU 15-721 :: Advanced Database Systems (Spring 2017)
Course Introduction and History of Database Systems M. Stonebraker, et al., What Goes Around Comes Around, in Readings in Database Systems, 4th Edition, 2006 (Optional) A. Pavlo, et al., What's New with NewSQL?, in SIGMOD Record (vol. 45, iss. 2), 2016 (Optional) In-Memory Databases H. Garcia-Molina, et al., Main Memory Database Systems: An Overview, in IEEE Trans. on Knowl. and Data Eng., 1992 S.
InoHiro 2017/03/25
database
ãƒªãƒ³ã‚¯
Cloud Spanner: A global database service for mission-critical applications | Google Cloud Blog
Introducing Cloud Spanner: A global database service for mission-critical applications Today, weâ€™re excited to announce the public beta for Cloud Spanner, a globally distributed relational database service that lets customers have their cake and eat it too: ACID transactions and SQL semantics, without giving up horizontal scaling and high availability. When building cloud applications, database ad
InoHiro 2017/02/19
google

GCP

database
ãƒªãƒ³ã‚¯
ãƒ•ãƒ©ãƒƒãƒˆãƒ•ã‚¡ã‚¤ãƒ«ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ - Wikipedia
ã“ã®è¨˜äº‹ã¯æ¤œè¨¼å¯èƒ½ãªå‚è€ƒæ–‡çŒ®ã‚„å‡ºå…¸ãŒå…¨ãç¤ºã•ã‚Œã¦ã„ãªã„ã‹ã€ä¸ååˆ†ã§ã™ã€‚ å‡ºå…¸ã‚’è¿½åŠ ã—ã¦è¨˜äº‹ã®ä¿¡é ¼æ€§å‘ä¸Šã«ã”å”åŠ›ãã ã•ã„ã€‚ï¼ˆã“ã®ãƒ†ãƒ³ãƒ—ãƒ¬ãƒ¼ãƒˆã®ä½¿ã„æ–¹ï¼‰ å‡ºå…¸æ¤œç´¢?:Â "ãƒ•ãƒ©ãƒƒãƒˆãƒ•ã‚¡ã‚¤ãƒ«ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹"Â â€“Â ãƒ‹ãƒ¥ãƒ¼ã‚¹Â Â· æ›¸ç±Â Â· ã‚¹ã‚«ãƒ©ãƒ¼Â Â· CiNiiÂ Â· J-STAGEÂ Â· NDLÂ Â· dlib.jpÂ Â· ã‚¸ãƒ£ãƒ‘ãƒ³ã‚µãƒ¼ãƒÂ Â· TWL (2025å¹´10æœˆ) ãƒ•ãƒ©ãƒƒãƒˆãƒ•ã‚¡ã‚¤ãƒ«ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ï¼ˆè‹±: flat file databaseï¼‰ã¯ã€ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®å„ç¨®ãƒ‡ãƒ¼ã‚¿ãƒ¢ãƒ‡ãƒ«ï¼ˆç‰¹ã«è¡¨ï¼‰ã‚’ãƒ—ãƒ¬ãƒ¼ãƒ³ãƒ†ã‚ã‚¹ãƒˆã®ãƒ•ã‚¡ã‚¤ãƒ«ã§è¡¨ã™ä½•ã‚‰ã‹ã®æ‰‹æ®µã§ã‚ã‚‹ã€‚ ãƒ•ãƒ©ãƒƒãƒˆãƒ•ã‚¡ã‚¤ãƒ«ãƒ¢ãƒ‡ãƒ«ã®ä¾‹[1] CSVå½¢å¼ã®ãƒ•ãƒ©ãƒƒãƒˆãƒ•ã‚¡ã‚¤ãƒ«ã‚’é–¢ä¿‚ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®è¡¨ã«å¤‰æ›ã™ã‚‹æ§˜å ã€Œãƒ•ãƒ©ãƒƒãƒˆãƒ•ã‚¡ã‚¤ãƒ«ã€ã¨ã¯ãƒ—ãƒ¬ãƒ¼ãƒ³ãƒ†ã‚ã‚¹ãƒˆã¾ãŸã¯ãƒ†ã‚ã‚¹ãƒˆã¨ãƒã‚¤ãƒŠãƒªã®æ··åˆã§ã‚ã‚Šã€é€šå¸¸1è¡ŒãŒ1ãƒ¬ã‚³ãƒ¼ãƒ‰ã«ãªã£ã¦ã„ã‚‹[2]ã€‚ãƒ¬ã‚³ãƒ¼ãƒ‰å†…ã¯ãƒ•ã‚£ãƒ¼ãƒ«ãƒ‰ã‚’åŒºåˆ‡ã‚Šæ–‡å—ï¼ˆãƒ‡ãƒªãƒŸã‚¿ï¼‰ã§åŒº
InoHiro 2016/10/03
ã“ã®å‘¼ã³æ–¹ã¯çŸ¥ã‚‰ãªã‹ã£ãŸ

wikipedia

database
ãƒªãƒ³ã‚¯
Schedule
Course Introduction and History of Database Systems M. Stonebraker, et al., What Goes Around Comes Around, in Readings in Database Systems, 4th Edition, 2006 (Optional) A. Pavlo, et al., What's New with NewSQL?, 2015 (Optional) In-Memory Databases H. Garcia-Molina, et al., Main Memory Database Systems: An Overview, in IEEE Trans. on Knowl. and Data Eng., 1992 S. Harizopoulos, et al., OLTP Through
InoHiro 2016/07/30
database
ãƒªãƒ³ã‚¯
Andy Pavlo - Carnegie Mellon University
I am an Associate Professor with Indefinite Tenure of Databaseology in the Computer Science Department at Carnegie Mellon University. My research interest is in database management systems, specifically self-driving / autonomous architectures, transaction processing systems, and large-scale data analytics. At CMU, I am a member of the Database Group and the Parallel Data Laboratory. I was the co-f
InoHiro 2016/07/30
research

researcher

database
ãƒªãƒ³ã‚¯
GitHub - cmu-db/peloton: The Self-Driving Database Management System
You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
InoHiro 2016/07/30
database
ãƒªãƒ³ã‚¯
GitHub - apache/druid: Apache Druid: a high performance real-time analytics database.
InoHiro 2016/04/01
database

columnar
ãƒªãƒ³ã‚¯
The D2RQ Platform â€“ Accessing Relational Databases as Virtual RDF Graphs
The D2RQ Platform is a system for accessing relational databases as virtual, read-only RDF graphs. It offers RDF-based access to the content of relational databases without having to replicate it into an RDF store. Using D2RQ you can: query a non-RDF database using SPARQL access the content of the database as Linked Data over the Web create custom dumps of the database in RDF formats for loading i
InoHiro 2016/02/22
RDF

database
ãƒªãƒ³ã‚¯
Apache Druid | ApacheÂ® Druid
ApacheÂ® DruidA high performance, real-time analytics database that delivers sub-second queries on streaming and batch data at scale and under load. Download Join Slack GitHub Sub-second queries at any scaleExecute OLAP queries in milliseconds on high-cardinality and high-dimensional data sets with billions to trillions of rows without pre-defining or caching queries in advance. High concurrency at
InoHiro 2015/08/11
olap

database

columnar
ãƒªãƒ³ã‚¯
ç´¢å¼• (ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹) - Wikipedia
ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®åˆ†é‡Žã«ãŠã„ã¦ã€ç´¢å¼•ï¼ˆã•ãã„ã‚“ï¼‰ã¾ãŸã¯ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ (è‹±: index) ã€ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ (è‹±: database index) ã¯ã€ãƒ†ãƒ¼ãƒ–ãƒ«ã¸ã®å‡¦ç†ã‚’é«˜é€ŸåŒ–ã™ã‚‹ãŸã‚ã®ãƒ‡ãƒ¼ã‚¿æ§‹é€ ã§ã‚ã‚‹ã€‚ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã®ä½œæˆã«ã¯è¿½åŠ ã®æ›¸ãè¾¼ã¿æ“ä½œã¨ã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸å®¹é‡ã‚’å¿…è¦ã¨ã™ã‚‹ã€‚ ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã¯ã€ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ãƒ†ãƒ¼ãƒ–ãƒ«ã«ã‚¢ã‚¯ã‚»ã‚¹ã™ã‚‹ãŸã³ã«ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ãƒ†ãƒ¼ãƒ–ãƒ«ã®ã™ã¹ã¦ã®è¡Œã‚’æ¤œç´¢ã—ãªãã¦ã‚‚ã€ãƒ‡ãƒ¼ã‚¿ã‚’ã™ã°ã‚„ãè¦‹ã¤ã‘ã‚‹ãŸã‚ã«ä½¿ç”¨ã•ã‚Œã‚‹ã€‚ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã¯ã€ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ãƒ†ãƒ¼ãƒ–ãƒ«ã®1ã¤ä»¥ä¸Šã®åˆ—ã‚’ä½¿ç”¨ã—ã¦ä½œæˆã—ã€é«˜é€Ÿãªãƒ©ãƒ³ãƒ€ãƒ ãƒ«ãƒƒã‚¯ã‚¢ãƒƒãƒ—ã¨é †åºä»˜ã‘ã‚‰ã‚ŒãŸãƒ¬ã‚³ãƒ¼ãƒ‰ã¸ã®åŠ¹çŽ‡çš„ãªã‚¢ã‚¯ã‚»ã‚¹ã®ä¸¡æ–¹ã®åŸºç¤Žã‚’æä¾›ã™ã‚‹ã€‚ ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã¯ãƒ†ãƒ¼ãƒ–ãƒ«ã®ä¸ã®1å€‹ä»¥ä¸Šã®åˆ—ã‚’å¯¾è±¡ã«ä½œæˆã•ã‚Œã€ãƒ©ãƒ³ãƒ€ãƒ ãªå‚ç…§å‡¦ç†ã‚„ä¸€å®šã®é †åºã§ã®ãƒ¬ã‚³ãƒ¼ãƒ‰ã¸ã®ã‚¢ã‚¯ã‚»ã‚¹ã®åŠ¹çŽ‡ã‚’é«˜ã‚ã‚‹ã“ã¨ãŒã§ãã‚‹ã€‚ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã«ã¯é€šå¸¸ã€è¡Œå…¨ä½“ã‚’åŠ¹çŽ‡çš„ã«å–å¾—ã§ãã‚‹ã‚ˆã†ã«ã€ã‚³ãƒ”ãƒ¼å…ƒã®
InoHiro 2015/08/03
wikipedia

database
ãƒªãƒ³ã‚¯
1 2 æ¬¡ã®ãƒšãƒ¼ã‚¸