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yass 2016/12/18
database

oracle

PostgreSQL

MySQL

index

join
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RDB - å®Ÿä¾‹ã§å¦ã¶ã€JOIN (NLJ) ãŒé…ããªã‚‹ç†å±ˆã¨å¯¾å‡¦æ³• - Qiita
"Nested Loop Joinã—ã‹å–ã‚Šä¸Šã’ã¦ç„¡ã„ã®ã«ã‚¿ã‚¤ãƒˆãƒ«ãŒå¤§ãã™ãŽãªã„ã‹" ã¨æŒ‡æ‘˜ã‚’é ‚ã„ãŸã®ã§ã€ã‚¿ã‚¤ãƒˆãƒ«ã‚’ä¿®æ£ã—ã¾ã—ãŸã€‚Merge Joinã¨Hash Joinã®ã“ã¨ã¯ã¾ãŸä»Šåº¦æ›¸ã“ã†ã¨æ€ã„ã¾ã™ã€‚ ã€ŒJOINã¯é…ã„ã€ã¨ã‚ˆãè¨€ã‚ã‚Œã¾ã™ã€‚ç‰¹ã«RDBã‚’ä½¿ã„å§‹ã‚ã¦é–“ãŒãªã„å†…ã«ãã†ã„ã†è¨€èª¬ã«è§¦ã‚ŒãŸçµæžœã€ŒJOIN=æ‚ªã€ã¨ã„ã†èªè˜ã§å›ºå®šåŒ–ã•ã‚Œã¦ã—ã¾ã£ã¦ã„ã‚‹äººã‚‚å¤šã„ã‚ˆã†ã«æ„Ÿã˜ã¦ã„ã¾ã™ã€‚ ãŸã—ã‹ã«ã€JOINã‚’å«ã‚€ã‚ˆã†ãªSELECTæ–‡ã¯ã€å«ã¾ãªã„ã‚‚ã®ã«æ¯”ã¹ã¦é‡ãŸããªã‚‹å‚¾å‘ãŒã‚ã‚‹ã“ã¨ã¯äº‹å®Ÿã§ã™ã€‚ã¾ãŸã€æœ¬è³ªçš„ã«å•ã„åˆã‚ã›ãŸã„å†…å®¹ãŒè¤‡é›‘ã§ã€å¯¾å‡¦ã™ã‚‹ã“ã¨ãŒé›£ã—ã„ã‚‚ã®ã‚‚å˜åœ¨ã—ã¾ã™ã€‚ã—ã‹ã—ã€RDBã®ä¸ã§ä¸€ä½“ã©ã†ã„ã†ã“ã¨ãŒèµ·ãã¦ã„ã‚‹ã®ã‹ã‚’çŸ¥ã‚Šã€ãã‚Œã«åŸºã„ã¦å¯¾å‡¦ã™ã‚Œã°é«˜é€ŸåŒ–ã§ãã‚‹ã“ã¨ã‚‚å°‘ãªããªã„ã¨è€ƒãˆã¦ã„ã¾ã™ã€‚ æœ¬ç¨¿ã§ã¯ã€JOINã®å†…éƒ¨å‹•ä½œã‚’è§£èª¬ã—ãŸä¸Šã§ã€Webã‚µãƒ¼ãƒ“ã‚¹ã‚’ä½œã£ã¦ã„ã‚‹ã¨ã‚ˆãå‡ºã¦ãã‚‹JOIN SQLã‚’ä¾‹é¡Œã«
yass 2015/07/12
sql

join

database

nested loop join

index
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JPUGä¸»å‚¬ PostgreSQLã‚«ãƒ³ãƒ•ã‚¡ãƒ¬ãƒ³ã‚¹2014ï¼ˆ2014.12.05@å“å·APï¼‰ https://www.postgresql.jp/events/jpug-pgcon2014 ã€C5ã€‘ã€Œã‚ˆã‚Šæ·±ãçŸ¥ã‚‹ã‚ªãƒ—ãƒ†ã‚£ãƒžã‚¤ã‚¶ã¨ãã®ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ã€ã®ç™ºè¡¨è³‡æ–™ã§ã™ã€‚Read less
yass 2014/12/07
database

index

optimizer
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http://blog.griddynamics.com/2011/04/indexes-rdbms-vs-coherence-vs-lucene.html
yass 2013/11/17
Lucene

coherence

database

index

toread
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çŸ¥ã£ã¦å¾—ã™ã‚‹InnoDBã‚»ã‚«ãƒ³ãƒ€ãƒªã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹æ´»ç”¨è¡“ï¼
InnoDBã¯ã‚¯ãƒ©ã‚¹ã‚¿ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã¨ã„ã†æ§‹é€ ã«ãªã£ã¦ã„ã‚‹ã€‚ä»Šæ—¥ã¯ã‚¯ãƒ©ã‚¹ã‚¿ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ãŒã©ã†ã„ã†ã“ã¨ã‹ã¨ã„ã†ã“ã¨ã‚’ã€çš†ã•ã‚“ã«ç†è§£ã—ã¦é ‚ããŸã„ã€‚ã‚‚ã£ã¨ã‚‚ç†è§£ã—ã¦é ‚ããŸã„ãƒã‚¤ãƒ³ãƒˆã¯ã€Œã‚»ã‚«ãƒ³ãƒ€ãƒªã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã®ãƒªãƒ¼ãƒ•ãƒŽãƒ¼ãƒ‰ã«ã¯ä¸»ã‚ãƒ¼ã®å€¤ãŒå«ã¾ã‚Œã¦ã„ã‚‹ã€ã¨ã„ã†ã“ã¨ã ã€‚ ä¸»ã‚ãƒ¼ã®æ§‹é€ InnoDBã®ä¸»ã‚ãƒ¼ã¯æ¬¡ã®å›³ã®ã‚ˆã†ã«ã€Œãƒ‡ãƒ¼ã‚¿ãŒä¸»ã‚ãƒ¼ã®ãƒªãƒ¼ãƒ•ãƒŽãƒ¼ãƒ‰ã«å«ã¾ã‚Œã‚‹ã€ã¨ã„ã†æ§‹é€ ã«ãªã£ã¦ã„ã‚‹ã€‚ã“ã®ã‚ˆã†ãªæ§‹é€ ã‚’ã‚¯ãƒ©ã‚¹ã‚¿ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã¨ã„ã†ã€‚ ã“ã®ã‚ˆã†ãªæ§‹é€ ã«ãªã£ã¦ã„ã‚‹ã“ã¨ã«ã¯åˆ©ç‚¹ã¨æ¬ ç‚¹ãŒã‚ã‚‹ãŒã€å¤§ããªåˆ©ç‚¹ã¯ä¸»ã‚ãƒ¼ã®å€¤ã§æ¤œç´¢ã‚’ã™ã‚‹ã¨éžå¸¸ã«é«˜é€Ÿã ã¨ã„ã†ã“ã¨ã ã€‚ä¸»ã‚ãƒ¼ã®ãƒªãƒ¼ãƒ•ãƒŽãƒ¼ãƒ‰ã«ãŸã©ã‚Šç€ã„ãŸã¨ãã«ã¯ã€æ—¢ã«ãƒ‡ãƒ¼ã‚¿ã®ãƒ•ã‚§ãƒƒãƒã‚‚å®Œäº†ã—ã¦ã„ã‚‹ã€‚ãƒ‡ãƒ¼ã‚¿ã¨ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ãŒåˆ¥ã€…ã«æ ¼ç´ã•ã‚Œã¦ã„ã‚‹ã‚¿ã‚¤ãƒ—ã®ã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã‚¨ãƒ³ã‚¸ãƒ³ã§ã¯ã€ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã‹ã‚‰ãƒ‡ãƒ¼ã‚¿ã®ä½ç½®ã‚’èªã¿å–ã£ã¦ã€ãã®å¾Œãƒ‡ãƒ¼ã‚¿ãƒ•ã‚¡ã‚¤ãƒ«ã‹ã‚‰ãƒ‡ãƒ¼ã‚¿ã‚’ãƒ•ã‚§ãƒƒãƒã™ã‚‹ã€‚ã“ã®ã‚ˆã†ã«äºŒæ®µéšŽã®æ“ä½œãŒ
yass 2013/10/19
" ã‚‚ã£ã¨ã‚‚ç†è§£ã—ã¦é ‚ããŸã„ãƒã‚¤ãƒ³ãƒˆã¯ã€Œã‚»ã‚«ãƒ³ãƒ€ãƒªã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã®ãƒªãƒ¼ãƒ•ãƒŽãƒ¼ãƒ‰ã«ã¯ä¸»ã‚ãƒ¼ã®å€¤ãŒå«ã¾ã‚Œã¦ã„ã‚‹ã€/ InnoDBã®ä¸»ã‚ãƒ¼ã¯æ¬¡ã®å›³ã®ã‚ˆã†ã«ã€Œãƒ‡ãƒ¼ã‚¿ãŒä¸»ã‚ãƒ¼ã®ãƒªãƒ¼ãƒ•ãƒŽãƒ¼ãƒ‰ã«å«ã¾ã‚Œã‚‹ã€"

mysql

database

innodb

index
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ï¼žï¼žå‰ç·¨ ãƒãƒƒã‚·ãƒ¥åˆ©ç”¨ã§æ¯”è¼ƒã‚’æ¸›ã‚‰ã™ å¾Œç·¨ã§ã¯ã¾ãšï¼Œã‚ªãƒ—ãƒ†ã‚£ãƒžã‚¤ã‚¶ãŒé¸æŠžã™ã‚‹æœ€çŸçµŒè·¯ã‚’ç´¹ä»‹ã™ã‚‹ã€‚ è¤‡æ•°ã®ãƒ†ãƒ¼ãƒ–ãƒ«ã‚’å…±é€šã®ã‚ãƒ¼ã‚’ç”¨ã„ã¦çµåˆã™ã‚‹ã€Œã‚¸ãƒ§ã‚¤ãƒ³ã€ã¯ã„ãã¤ã‹ã®æ–¹å¼ãŒã‚ã‚‹ã€‚ãã®ä¸€ã¤ã§ã‚ã‚‹ãƒãƒƒã‚·ãƒ¥ãƒ»ã‚¸ãƒ§ã‚¤ãƒ³ã¯ï¼Œãƒãƒƒã‚·ãƒ¥é–¢æ•°ã‚’ä½¿ã£ã¦ï¼Œä¸€ã¤ã®ãƒ†ãƒ¼ãƒ–ãƒ«ã®ã‚ãƒ¼ã‹ã‚‰ãƒãƒƒã‚·ãƒ¥å€¤ã‚’è¨ˆç®—ã™ã‚‹ï¼ˆå›³4ï¼‰ã€‚ã•ã‚‰ã«ï¼Œãƒãƒƒã‚·ãƒ¥å€¤ã¨è©²å½“ã™ã‚‹ãƒ‡ãƒ¼ã‚¿ã§æ§‹æˆã™ã‚‹ã€Œãƒãƒƒã‚·ãƒ¥ãƒ»ãƒ†ãƒ¼ãƒ–ãƒ«ã€ã‚’ä½œæˆã™ã‚‹ã€‚åŒæ§˜ã«äºŒã¤ç›®ã®ãƒ†ãƒ¼ãƒ–ãƒ«ã‹ã‚‰ãƒãƒƒã‚·ãƒ¥å€¤ã‚’è¨ˆç®—ã—ï¼Œãã®å€¤ã‚’åŸºã«æ¤œç´¢ã™ã‚‹ãƒãƒƒã‚·ãƒ¥ãƒ»ãƒ†ãƒ¼ãƒ–ãƒ«ã®ãƒ¬ã‚³ãƒ¼ãƒ‰ã‚’ç‰¹å®šã™ã‚‹ã€‚ãƒãƒƒã‚·ãƒ¥å€¤ã‚’è¨ˆç®—ã™ã‚‹ã ã‘ã§æ¯”è¼ƒå¯¾è±¡ã®ãƒ‡ãƒ¼ã‚¿ãŒçµžã‚Šè¾¼ã‚ã‚‹ã®ã§ï¼Œã»ã‹ã®ã‚¸ãƒ§ã‚¤ãƒ³æ–¹å¼ã‚ˆã‚Šã‚‚é«˜é€Ÿã«ãªã‚‹å ´åˆãŒã‚ã‚‹ã€‚ãŸã ã—ï¼Œã€Œå„ãƒ†ãƒ¼ãƒ–ãƒ«ã‚’å±•é–‹ã§ãã‚‹ã ã‘ã®ãƒ¡ãƒ¢ãƒªãƒ¼å®¹é‡ãŒå¿…è¦ã«ãªã‚‹ã€‚ãƒ¡ãƒ¢ãƒªãƒ¼ãŒè¶³ã‚Šãªã„ã¨é€†ã«é…ããªã‚‹ã€ï¼ˆä¼Šè—¤å¿ ãƒ†ã‚¯ãƒŽã‚½ãƒªãƒ¥ãƒ¼ã‚·ãƒ§ãƒ³ã‚º ãƒ—ãƒ©ãƒƒãƒˆãƒ•ã‚©ãƒ¼ãƒ æŠ€è¡“éƒ¨ éƒ¨é•·ä»£è¡Œ å®®ç”°æ¦æ°ï¼‰ã¨ã„ã£ãŸæ³¨æ„ç‚¹ãŒã‚ã‚‹ã€‚ å›³4â—ãƒãƒƒã‚·ãƒ¥ãƒ»ã‚¸ãƒ§ã‚¤ãƒ³
yass 2013/10/17
" ã‚¤ãƒ³ãƒ¡ãƒ¢ãƒªãƒ¼DBã¯ã€ãƒ‡ã‚£ã‚¹ã‚¯ãƒ»ã‚¢ã‚¯ã‚»ã‚¹ã‚„ãƒãƒƒãƒ•ã‚¡ç®¡ç†ãŒä¸è¦ã€ãƒ‡ãƒ¼ã‚¿ãŒãƒ¡ãƒ¢ãƒªãƒ¼ä¸Šã«ã‚ã‚‹ã“ã¨ã‚’å‰æã¨ã—ãŸã€ŒT-Treeã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã€ã‚’æŽ¡ç”¨ã€ã¨ã„ã£ãŸå„ªä½æ€§ãŒã‚ã‚‹ "

database

index

join
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yass 2013/10/17
database

index

join

hash
ãƒªãƒ³ã‚¯
Shoshanna Raven - Creator Of Vortex & Living Brave
In the fast-paced world of personal development, one woman has continually stood outâ€”Shoshanna Raven. Her influence extends beyond coaching sessions. Her retreats are transf ormative, and her message of â€˜Living Braveâ€™ has resonated deeply with countless individuals. But what makes her leadership so impactful? The answer lies in the voices of those who have walked the path with herâ€”her clients. Rave
yass 2013/09/21
" Sophia is a modern embeddable key-value database designed for a high load environment. It has unique architecture that was created as a result of research and rethinking of primary algorithmical constraints, associated with a getting popular Log-file based data structures, such as LSM-tree. "

database

c

leveldb

sstable

index
ãƒªãƒ³ã‚¯
qpstudy 2013.07ã®æ‡‡è¦ªä¼šã§RDBMSã®ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã«é–¢ã™ã‚‹ã‚¯ã‚¤ã‚ºLTã‚’ã—ã¦ããŸ - ã“ã®ãƒ–ãƒã‚°ã¯URLãŒå¤‰æ›´ã«ãªã‚Šã¾ã—ãŸ
2013/07/28ã«é–‹å‚¬ã•ã‚ŒãŸqpstudy 2013.07ã®æ‡‡è¦ªä¼šã§ã€RDBMSã®ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã«é–¢ã™ã‚‹ã‚¯ã‚¤ã‚ºLTã‚’ã—ã¦ãã¾ã—ãŸã€‚ ç™ºè¡¨è³‡æ–™ã¯ã“ã¡ã‚‰ã€‚ ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ä½¿ãˆã¦ã‚‹ï¼Ÿã˜ã‡ã˜ã‡ã˜ã‡ï¼ from Takuto Matsuu è£œè¶³äº‹é … ç™ºè¡¨ã§ã¯3å•å‡ºé¡Œã—ã¾ã—ãŸãŒã€æœ¬å®¶ã®The 3-Minute Test: What do you know about SQL performance?ã¯5å•ã‚ã‚Šã¾ã™ã€‚ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã«è‡ªä¿¡ãŒæœ‰ã‚‹æ–¹ã¯æ˜¯éžãƒãƒ£ãƒ¬ãƒ³ã‚¸ã—ã¦ã¿ã¦ãã ã•ã„ã€‚ è³‡æ–™ã«ã‚‚æ›¸ãã¾ã—ãŸãŒã€Use The Index, Luke!ã¯ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã‚’å¦ã¶ãªã‚‰å¿…è¦‹ã®ã‚µã‚¤ãƒˆã§ã™ã€‚æ˜¯éžã©ã†ãžã€‚ Use The Index, Luke!ã®å†…å®¹ã‚’ã¾ã¨ã‚ãŸæ›¸ç±SQL PERFORMANCE EXPLAINEDã«ã¤ã„ã¦ã¯ä»¥å‰ã“ã®ãƒ–ãƒã‚°ã§ç´¹ä»‹ã—ãŸã®ã§ãã¡ã‚‰ã‚’ã©ã†ãžã€‚PDFç‰ˆã‚‚ã‚ã‚Šã¾ã™ã€‚ Use The Index,
yass 2013/08/02
database

index
ãƒªãƒ³ã‚¯
How TokuDB Fractal Tree Indexes Work
A unified experience for developers and database administrators to monitor, manage, secure, and optimize database environments on any infrastructure.
yass 2013/04/22
tokudb

index

btree

database

mysql

fractal tree index
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INDEX FULL SCANã‚’ç‹™ã† - MySQL Casual Advent Calendar 2011 - SH2ã®æ—¥è¨˜
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yass 2013/04/21
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yass 2012/11/18
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12. Indexing and Hashing in DBMS
1. Chapter 12: Indexing and Hashing Basic Concepts Ordered Indices B+-Tree Index Files B-Tree Index Files Static Hashing Dynamic Hashing Comparison of Ordered Indexing and Hashing Index Definition in SQL Multiple-Key Access 2. Basic Concepts Indexing mechanisms used to speed up access to desired data. E.g., author catalog in library Search Key - attribute to set of attributes used to look up recor
yass 2012/11/18
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yass 2012/07/05
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