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A Database Optimization Strategy for Massive Data Based Information System
Proceedings of the 2019 2nd International Conference on Mathematics, Modeling and Simulation Technologies and Applications (MMSTA 2019)
With the rapid arrival of the information explosion era, the amount of data stored in a single table of an enterprise information management system is getting more and more common. Therefore, efficiency optimization of SQL based on the massive data is an essential task to break the bottleneck in current enterprise information management systems. This paper proposes single table optimization methods for massive database. These methods including: physical optimization, index optimization anddoi:10.2991/mmsta-19.2019.47 fatcat:qjw6lfsfzrduhcnw6bnymevugm