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超融合时序数据库在果园大数据中存储策略分析*
郭涛
四川省农业科学院遥感应用研究所
摘要:
【目的】针对传统数据库架构无法高效应对大数据的多样性、实时性和业务场景复杂性,研究测试超融合时序数据库存储果园大数据的方案。【方法】通过分析果园大数据管理平台建设过程中数据特点和场景业务,采用“One for All”思想,构建基于YMatrix的超融合时序数据库解决方案。【结果】该解决方案满足果园数据高效存储、管理的需求,测试结果显示YMatrix 充分发挥了其高吞吐、低延迟、高并发、准实时数据加载等优秀特性。【结论】该研究为数字农业和果园数字化基础设施建设和农业数字孪生建设提供技术参考,为实现现代化智慧农业提供经验。
关键词:  超融合数据库  果园大数据  MPP架构  存储策略  数字果园
DOI:
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基金项目:国家科技攻关计划
Analysis of storage strategy of hyperconvergence timing database in orchard big data
guotao1,2,3,4,5,6,7,2,8,9
1.Institute 2.of 3.Remote 4.Sensing 5.and Digital Agriculture, 6.Sichuan 7.Academy 8.Agricultural 9.Sciences
Abstract:
[Purpose] Aiming at the problem that traditional database architecture cannot efficiently deal with the diversity, real-time and complexity of big data, this paper studies and tests the scheme of hyperconvergence timing database to store big data in orchard. [Method] Following the idea of "One for All", the solution of YMatrix-based hyperconvergence timing sequence database was constructed by analyzing the data characteristics and scene business during the construction process of orchard big data management platform. [Result] The solution meets the requirements of efficient storage and management of orchard data. The test results show that YMatrix gives full play to its excellent features such as high throughput, low latency, high concurrency and quasi-real-time data loading. [Conclusion] This paper provides technical reference for digital agriculture, orchard digital infrastructure construction and agricultural digital construction, and provides experience for realizing modern intelligent agriculture.
Key words:  Hyper-converged database  Orchard big data  MPP architecture  Storage strategy  Digital orchard