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mogwaing id:mogwaing

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Definition and Types of Temporal Joins
mogwaing 2015/03/09
temporal database

join

database
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Google ã‚°ãƒ«ãƒ¼ãƒ—
Google ã‚°ãƒ«ãƒ¼ãƒ—ã§ã¯ã€ã‚ªãƒ³ãƒ©ã‚¤ãƒ³ ãƒ•ã‚©ãƒ¼ãƒ©ãƒ ã‚„ãƒ¡ãƒ¼ãƒ« ãƒ™ãƒ¼ã‚¹ã®ã‚°ãƒ«ãƒ¼ãƒ—ã‚’ä½œæˆã—ãŸã‚Šã€ã“ã†ã—ãŸãƒ•ã‚©ãƒ¼ãƒ©ãƒ ã‚„ã‚°ãƒ«ãƒ¼ãƒ—ã«å‚åŠ ã—ãŸã‚Šã™ã‚‹ã“ã¨ã§ã€å¤§å‹¢ã®ãƒ¦ãƒ¼ã‚¶ãƒ¼ã¨æƒ…å ±ã®å…±æœ‰ã‚„ãƒ‡ã‚£ã‚¹ã‚«ãƒƒã‚·ãƒ§ãƒ³ã‚’è¡Œã†ã“ã¨ãŒã§ãã¾ã™ã€‚
mogwaing 2014/03/12
hadoop

presto

join
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ì”¨ìµ(CiiC) T T :: Oracle Optimizerì˜ ì›ë¦¬ ì´í•´ ë° SQL & ì• í”Œë¦¬ì¼€ì´ì…˜
mogwaing 2012/10/07
database

nested loop

join
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Procedurally transform subquery into join
mogwaing 2012/07/27
database

sql

subquery

join
ãƒªãƒ³ã‚¯
DB Optimizer Â» Right Deep, Left Deep and Bushy Joins
At UKOUG someone asked me if DB Optimizerâ€™s VST diagrams could deal with left deep verses right deep execution plans. What is right deep verses left deep? Good question. In join trees (not VST) the object on the left is acted upon first then the object on the right.Â Below are left deep and right deep examples of the same query, showing query text join tree join treeÂ modified to more clearly show
mogwaing 2012/07/09
database

join
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Microsoft Word - QUERYOPT.DOC
Parallel Query Optimisation Contents Objectives of parallel query optimisation Parallel query optimisation Two-Phase optimisation One-Phase optimisation Inter-operator parallelism oriented optimisation Search strategies used in optimisations Load balancing Objectives of Parallel Query Optimisation For a relational database query â‡“ Several relational operators are executed â‡“ Several execution order
mogwaing 2012/07/09
database

join

parallel db
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Join Order Search - PostgreSQL wiki
mogwaing 2012/07/07
join order search in postgresql

postgresql

database

join
ãƒªãƒ³ã‚¯
More preview enhancements for Windows Azure AD Premium - Active Directory Blog - Site Home - TechNet Blogs
Microsoft Developer Blogs Get the latest information, insights, and news from Microsoft. AI agents are quickly moving from experiments to productionâ€‘critical components of modern applications. But while many teams know how to build agents, far fewer are confident theyâ€™re hosting them on the right foundation. Most organizations start by deploying agents the same way... We're shipping two major capa
mogwaing 2012/07/06
Left deep vs. right deep vs. bushy hash join trees

database

join
ãƒªãƒ³ã‚¯
Facebook
å¥½ããªã“ã¨ã‚’ãƒã‚§ãƒƒã‚¯ã—ã‚ˆã†ã€‚Facebookã«ãƒã‚°ã‚¤ãƒ³ãƒ¡ãƒ¼ãƒ«ã‚¢ãƒ‰ãƒ¬ã‚¹ã¾ãŸã¯æºå¸¯é›»è©±ç•ªå·ãƒ‘ã‚¹ãƒ¯ãƒ¼ãƒ‰ãƒã‚°ã‚¤ãƒ³ãƒ‘ã‚¹ãƒ¯ãƒ¼ãƒ‰ã‚’å¿˜ã‚ŒãŸå ´åˆæ–°ã—ã„ã‚¢ã‚«ã‚¦ãƒ³ãƒˆã‚’ä½œæˆ æ—¥æœ¬èªžEnglish (US)PortuguÃªs (Brasil)ä¸æ–‡(ç®€ä½“)Tiáº¿ng Viá»‡tEspaÃ±olBahasa Indonesiaãã®ä»–ã®è¨€èªžâ€¦ã‚¢ã‚«ã‚¦ãƒ³ãƒˆç™»éŒ²ãƒã‚°ã‚¤ãƒ³MessengerFacebook Liteå‹•ç”»Meta PayMetaã‚¹ãƒˆã‚¢Meta QuestRay-Ban MetaMeta AIInstagramThreadsãƒ—ãƒ©ã‚¤ãƒã‚·ãƒ¼ãƒãƒªã‚·ãƒ¼ãƒ—ãƒ©ã‚¤ãƒã‚·ãƒ¼ã‚»ãƒ³ã‚¿ãƒ¼Facebookã«ã¤ã„ã¦åºƒå‘Šã‚’ä½œæˆãƒšãƒ¼ã‚¸ã‚’ä½œæˆé–‹ç™ºè€…æŽ¡ç”¨æƒ…å ±CookieAdChoicesåˆ©ç”¨è¦ç´„ãƒ˜ãƒ«ãƒ—é€£çµ¡å…ˆã®ã‚¢ãƒƒãƒ—ãƒãƒ¼ãƒ‰ã¨éžãƒ¦ãƒ¼ã‚¶ãƒ¼Meta Â© 2026
mogwaing 2012/07/02
hive

join

hadoop
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http://www.docstoc.com/docs/78027462/Teradata-Join-Processing
mogwaing 2012/05/06
product join is hash join http://www.coffingdw.com/sql/tdsqlutp/parallel_join_processing.htm

database

teradata

join

parallel processing

parallel db
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Parallel Join Processing
mogwaing 2012/05/06
database

teradata

parallel processing

parallel db

join
ãƒªãƒ³ã‚¯
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mogwaing 2012/05/03
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db

hirdb

join
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Visual Studio Code and Docker - Visual Studio Code - Site Home - MSDN Blogs
Microsoft Developer Blogs Get the latest information, insights, and news from Microsoft. AI agents are quickly moving from experiments to productionâ€‘critical components of modern applications. But while many teams know how to build agents, far fewer are confident theyâ€™re hosting them on the right foundation. Most organizations start by deploying agents the same way... We're shipping two major capa
mogwaing 2012/01/24
The nested loops join supports the following logical join operators Inner join Left outer join Cross join Cross apply and outer apply Left semi-join and left anti-semi-join

database

join

sql server

nested loop
ãƒªãƒ³ã‚¯
Tutorial - Apache Hive - Apache Software Foundation
ConceptsWhat Is HiveHive is a data warehousing infrastructure based on Apache Hadoop. Hadoop provides massive scale out and fault tolerance capabilities for data storage and processing on commodity hardware. Hive is designed to enable easy data summarization, ad-hoc querying and analysis of large volumes of data. It provides SQL which enables users to do ad-hoc querying, summarization and data ana
mogwaing 2012/01/24
Note that Hive only supports equi-joins. Also it is best to put the largest table on the rightmost side of the join to get the best performance.

hive

join
ãƒªãƒ³ã‚¯
PsExec | IT Pro
TechTarget and Informa Techâ€™s Digital Business Combine.TechTarget and Informa TechTarget and Informa Techâ€™s Digital Business Combine.Together, we power an unparalleled network of 220+ online properties covering 10,000+ granular topics, serving an audience of 50+ million professionals with original, objective content from trusted sources. We help you gain critical insights and make more informed de
mogwaing 2011/11/03
Outer-joins always use nested loops. A hash join needs a row to exist in both tables for the merge to succeed.

database

join
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Physical Join Operators in SQL Server - Nested Loops | SQL Server Articles
mogwaing 2011/10/24
sql server

database

join

nested loop
ãƒªãƒ³ã‚¯
Hiveã®joinã®æœ€é©åŒ– - wyukawa's diary
å…ƒãƒã‚¿ã¯ã“ã¡ã‚‰ Join Optimization in Apache Hive Hiveã¯0.7ã‹ã‚‰joinãŒæœ€é©åŒ–ã•ã‚Œã¦ã„ã¾ã™ã€‚ã©ã®ã‚ˆã†ã«æœ€é©åŒ–ã•ã‚ŒãŸã®ã‹ä¸Šè¨˜ã®è³‡æ–™ã‚’ã²ã‚‚ã¨ã„ã¦ã¿ã¾ã™ã€‚ ã„ã¾ã¾ã§ã®join ã„ã¾ã¾ã§ã®joinã¯ã„ã‚ã‚†ã‚‹ã‚½ãƒ¼ãƒˆãƒžãƒ¼ã‚¸ã‚¸ãƒ§ã‚¤ãƒ³ã§ã™ã€‚ mapãƒ•ã‚§ãƒ¼ã‚ºã§ãƒ†ãƒ¼ãƒ–ãƒ«ã®ãƒ‡ãƒ¼ã‚¿ã‚’èªã¿è¾¼ã‚“ã§joinã‚ãƒ¼ã€joinãƒãƒªãƒ¥ãƒ¼ã‚’å‡ºåŠ›ã—ã€shuffleãƒ•ã‚§ãƒ¼ã‚ºã§ã‚½ãƒ¼ãƒˆã€reduceãƒ•ã‚§ãƒ¼ã‚ºã§joinã¨ã„ã†æµã‚Œã§ã™ã€‚ ã“ã®å ´åˆshuffleãƒ•ã‚§ãƒ¼ã‚ºã®ã‚½ãƒ¼ãƒˆå‡¦ç†ãŒãƒœãƒˆãƒ«ãƒãƒƒã‚¯ã¨ãªã£ã¦ã„ã¾ã—ãŸã€‚ ãã“ã§ç™»å ´ã™ã‚‹ã®ãŒMap Joinã§ã™ã€‚ joinã®ç‰‡æ–¹ã®ãƒ†ãƒ¼ãƒ–ãƒ«ã®ã‚µã‚¤ã‚ºãŒãƒ¡ãƒ¢ãƒªã«åŽã¾ã‚‹ã»ã©å°ã•ã„ã®ã§ã‚ã‚Œã°ã€mapperã®ãƒ¡ãƒ¢ãƒªã«èªã¿è¾¼ã‚“ã§mapãƒ•ã‚§ãƒ¼ã‚ºã ã‘ã§joinã—ã¾ã™ã€‚ ã“ã‚“ãªæ„Ÿã˜ã®æ§‹æ–‡ã§æ›¸ãã¾ã™ã€‚ select /*+map join(a)*/ * from src1 x join
mogwaing 2011/10/21
repartioin join to map-side join

hive

join
ãƒªãƒ³ã‚¯
Join optimization in hive
This document discusses optimization techniques for map join in Hive. It describes: 1) Previous approaches to common join and map join in Hive and their limitations. 2) Optimized map join techniques like uploading small tables to distributed cache and performing local joins to avoid shuffle. 3) Using JDBM for hash tables caused performance issues so alternative approaches were evaluated. 4) Automa
mogwaing 2011/10/21
hive

join
ãƒªãƒ³ã‚¯
HTTP 404 ãƒ•ã‚¡ã‚¤ãƒ«æœªæ¤œå‡º - SCIENCE TOKYO OCW
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mogwaing 2011/02/19
grace/hybrid hash joinãŒç«¯çš„ã«ã¾ã¨ã¾ã£ã¦ã„ã‚‹

database

hash

join
ãƒªãƒ³ã‚¯
Facebook
å¥½ããªã“ã¨ã‚’ãƒã‚§ãƒƒã‚¯ã—ã‚ˆã†ã€‚Facebookã«ãƒã‚°ã‚¤ãƒ³ãƒ¡ãƒ¼ãƒ«ã‚¢ãƒ‰ãƒ¬ã‚¹ã¾ãŸã¯æºå¸¯é›»è©±ç•ªå·ãƒ‘ã‚¹ãƒ¯ãƒ¼ãƒ‰ãƒã‚°ã‚¤ãƒ³ãƒ‘ã‚¹ãƒ¯ãƒ¼ãƒ‰ã‚’å¿˜ã‚ŒãŸå ´åˆæ–°ã—ã„ã‚¢ã‚«ã‚¦ãƒ³ãƒˆã‚’ä½œæˆ æ—¥æœ¬èªžEnglish (US)PortuguÃªs (Brasil)ä¸æ–‡(ç®€ä½“)Tiáº¿ng Viá»‡tEspaÃ±olBahasa Indonesiaãã®ä»–ã®è¨€èªžâ€¦ã‚¢ã‚«ã‚¦ãƒ³ãƒˆç™»éŒ²ãƒã‚°ã‚¤ãƒ³MessengerFacebook Liteå‹•ç”»Meta PayMetaã‚¹ãƒˆã‚¢Meta QuestRay-Ban MetaMeta AIInstagramThreadsãƒ—ãƒ©ã‚¤ãƒã‚·ãƒ¼ãƒãƒªã‚·ãƒ¼ãƒ—ãƒ©ã‚¤ãƒã‚·ãƒ¼ã‚»ãƒ³ã‚¿ãƒ¼Facebookã«ã¤ã„ã¦åºƒå‘Šã‚’ä½œæˆãƒšãƒ¼ã‚¸ã‚’ä½œæˆé–‹ç™ºè€…æŽ¡ç”¨æƒ…å ±CookieAdChoicesåˆ©ç”¨è¦ç´„ãƒ˜ãƒ«ãƒ—é€£çµ¡å…ˆã®ã‚¢ãƒƒãƒ—ãƒãƒ¼ãƒ‰ã¨éžãƒ¦ãƒ¼ã‚¶ãƒ¼Meta Â© 2026
mogwaing 2010/12/16
repartition join to map-side join

hive

join

optimization

database
ãƒªãƒ³ã‚¯
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