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Paper Abstract and Keywords
Presentation 2023-09-22 10:55
A Preliminary Study of Dynamic Query Optimization Using MLIR
Genki Kimura, Kazuo Goda (UT) DE2023-23
Abstract (in Japanese) (See Japanese page) 
(in English) Query optimizer generates execution plans from input queries and has a significant impact on database performance. Traditional query optimizer estimates execution costs based on statistics and approximate cost models and constructs the most efficient plan, but the potential for inefficiencies comes from errors in these estimates. On the other hand, dynamic query optimization achieves efficient execution using runtime feedback on query processing. This paper explores dynamic optimization techniques considering operators at the implementation levels, and the configuration of this approach using MLIR, which is the recent major compiler infrastructure. Additionally, the potential for performance improvements is examined through preliminary experiments.
Keyword (in Japanese) (See Japanese page) 
(in English) dynamic query optimization / multi query optimization / MLIR / / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 192, DE2023-23, pp. 72-77, Sept. 2023.
Paper # DE2023-23 
Date of Issue 2023-09-14 (DE) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF DE2023-23

Conference Information
Committee DE IPSJ-DBS IPSJ-IFAT  
Conference Date 2023-09-21 - 2023-09-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Kitakyushu International Conference Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Bigdata management, information retrieval, knowledge discovery, etc. 
Paper Information
Registration To DE 
Conference Code 2023-09-DE-DBS-IFAT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Preliminary Study of Dynamic Query Optimization Using MLIR 
Sub Title (in English)  
Keyword(1) dynamic query optimization  
Keyword(2) multi query optimization  
Keyword(3) MLIR  
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1st Author's Name Genki Kimura  
1st Author's Affiliation The University of Tokyo (UT)
2nd Author's Name Kazuo Goda  
2nd Author's Affiliation The University of Tokyo (UT)
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Speaker Author-1 
Date Time 2023-09-22 10:55:00 
Presentation Time 25 minutes 
Registration for DE 
Paper # DE2023-23 
Volume (vol) vol.123 
Number (no) no.192 
Page pp.72-77 
#Pages 6 
Date of Issue 2023-09-14 (DE) 

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