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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 7

Dynamic time window-based optimization method for unified stream and batch processing in data warehouses

Chen Binlin
Tang Xiaoyong
School of Computer & Communication Engineering, Changsha University of Science & Technology, Changsha Hunan 410114, China
DOI: 10.19734/j.issn.1001-3695.2024.11.0490

Abstract

Data warehouse is the core of enterprise data management, and batch processing and stream processing are the two core data processing paradigms for big data analytics. To address the high latency and resource consumption of traditional batch processing technologies, as well as the data quality challenges faced by stream processing technologies when handling multi-stream data association and historical data computation, this study proposes a unified stream and batch processing method. The proposed method analyzes the changes of the dataset in different time windows, and integrates the dynamic time window division based on scheduling time with the simplest dataset search based on the DFS(Depth-First Search) algorithm. Experimental results demonstrate that, compared with the mainstream micro-batch processing method, this method reduces overall computation time by 57.2% and memory consumption by 24.2%, while ensuring strong data consistency. This method holds important reference value for enterprises in building data warehouses with high processing efficiency and low resource consumption, integrating stream and batch processing.

Foundation Support

国家自然科学基金资助项目(62372064)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.11.0490
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 7

Publish History

[2025-03-13] Accepted Paper

Cite This Article

陈滨林, 唐小勇. 基于动态时间窗格的数据仓库流批一体优化方法 [J]. 计算机应用研究, 2025, 42 (7). (2025-03-14). https://doi.org/10.19734/j.issn.1001-3695.2024.11.0490. (Chen Binlin, Tang Xiaoyong. Dynamic time window-based optimization method for unified stream and batch processing in data warehouses [J]. Application Research of Computers, 2025, 42 (7). (2025-03-14). https://doi.org/10.19734/j.issn.1001-3695.2024.11.0490. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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