Presentation 2023-09-22
A Preliminary Study of Dynamic Query Optimization Using MLIR
Genki Kimura, Kazuo Goda,
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Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) dynamic query optimization / multi query optimization / MLIR
Paper # DE2023-23
Date of Issue 2023-09-14 (DE)

Conference Information
Committee DE / IPSJ-DBS / IPSJ-IFAT
Conference Date 2023/9/21(2days)
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.
Chair Masashi Toyoda(Univ. of Tokyo)
Vice Chair Kosuke Takano(Kanagawa Inst. of Tech.) / Chiemi Watanabe(Tsukuba Univ. of Technology)
Secretary Kosuke Takano(Univ. of Tsukuba) / Chiemi Watanabe(Komazawa Univ.)
Assistant Takahiro Komamizu(Nagoya Univ.)

Paper Information
Registration To Technical Committee on Data Engineering / Special Interest Group on Database System / Special Interest Group on Information Fundamentals and Access Technologies
Language JPN
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
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)
Date 2023-09-22
Paper # DE2023-23
Volume (vol) vol.123
Number (no) DE-192
Page pp.pp.72-77(DE),
#Pages 6
Date of Issue 2023-09-14 (DE)