App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 12

Adapce：adaptive cardinality estimation based on physical operator graph

Yu Xiaoting
Gao Jintao
School of Information Engineering, Ningxia University, City Yinchuan 750021, China
DOI: 10.19734/j.issn.1001-3695.2026.04.0108

Abstract

Cardinality estimation (CardEst) is a core module of the query optimizer, the “brain” of a database management system (DBMS) , and its accuracy directly affects query performance. To address the problem that existing CardEst strategies have difficulty adapting to complex query scenarios and may produce suboptimal plans, this paper proposes AdapCE, an adaptive framework based on physical operator graphs. AdapCE builds a dual-granularity adaptive environment at the node and subgraph levels. At the node level, AdapCE introduces a data bombing method, which injects diversified data into nodes to enhance their adaptability in different CardEst scenarios and reduce the risk of selecting inappropriate methods. At the subgraph level, AdapCE uses a subgraph matching mechanism to dynamically determine suitable CardEst results when receiving new queries. Experiments on multiple benchmarks and comparisons with CardEst methods used in different DBMSs show that AdapCE improves the estimation accuracy of the average value, the 90th percentile, and the maximum value by 9%, 5%, and 26%, respectively. The experimental results indicate that AdapCE improves the accuracy and robustness of CardEst in complex query scenarios and provides more reliable cardinality estimation support for query optimization.

Foundation Support

国家自然科学基金资助项目(62462051)
宁夏自然科学基金项目(2025AAC020045)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2026.04.0108
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 12

Publish History

[2026-08-04] Accepted Paper

Cite This Article

余晓婷, 高锦涛. 基于物理算子图的自适应基数估计方法 [J]. 计算机应用研究, 2026, 43 (12). (2026-08-25). https://doi.org/10.19734/j.issn.1001-3695.2026.04.0108. (Yu Xiaoting, Gao Jintao. Adapce：adaptive cardinality estimation based on physical operator graph [J]. Application Research of Computers, 2026, 43 (12). (2026-08-25). https://doi.org/10.19734/j.issn.1001-3695.2026.04.0108. )

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  • Application Research of Computers Monthly Journal
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    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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