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Assessment of Urban Water Supply System Based on Query Optimization Strategy

机译:基于查询优化策略的城市供水系统评价

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As a complicated water treatment system project, an urban water supply plays a significant role in enhancing ecological civilization construction, promoting social-economic sustainable development, and improving the living environment of humans. This paper has the goal of improving water treatment efficiency and reducing water treatment cost based on comparative studies by applying two types of distributed database query optimization methods, including the system for a distributed database (SDD-1) and all reduction algorithms. The approach involves the components of partial relations and deletes the database components that are unrelated to a query, using only attributes related to a query. Thereby, the realization process becomes simple, with a small amount of transmitted data. The results show that the validity and convenience of all reduction algorithms involve the whole query process. An algorithm is independent of the chart of static characteristics and can realize all reduction states without depending on analyzing the benefits from intermediate semijoin results, which will ultimately contribute to reductions in the transmission of useless data in the network and communication costs. Implementation of the query optimization strategy can improve water treatment efficiency, reduce water treatment cost, lower water treatment expense, and implement effective communication.
机译:城市供水作为一项复杂的水处理系统项目,在加强生态文明建设,促进社会经济可持续发展,改善人类居住环境方面发挥着重要作用。基于比较研究,本文旨在通过应用两种类型的分布式数据库查询优化方法,包括分布式数据库系统(SDD-1)和所有还原算法,来提高水处理效率并降低水处理成本。该方法涉及部分关系的组件,并仅使用与查询相关的属性来删除与查询无关的数据库组件。从而,实现过程变得简单,发送的数据量很少。结果表明,所有归约算法的有效性和便利性都涉及到整个查询过程。一种算法与静态特性图表无关,并且可以实现所有还原状态,而无需依赖于分析中间半联接结果的好处,这最终将有助于减少网络中无用数据的传输和通信成本。查询优化策略的实施可以提高水处理效率,降低水处理成本,降低水处理费用,实现有效的沟通。

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