基于B+树的电力大数据混合索引设计与实现

Design and implementation of large data hybrid index based on B+tree

信息技术的飞速发展在很大程度上加快了电力行业的信息化建设,使得电网数据来源更加的广泛且复杂,智能电表、信息系统等多种不同类型的分布式数据源在发电、输电、配电及用电等环节都会不停地产生海量的数据,使得电力数据急剧增长。为了建设高效智能、稳定可靠的电网,必须要发挥出这些电力数据的支撑性作用,其是电力发展一个相当重要的参考依据,不仅有利于帮助专业人员探寻电力行业某些潜在的内部规律,还可以真实地反映出整个社会经济发展情况。通常情况下,电力数据类型较为复杂,往往是数值型和字符型两种属性同时存在,因而本文有针对性地提出了一种基于B＋树及倒排索引的双层混合索引结构,以期待能够有效地实现电力数据的快速检索。

In recent years, the rapid development of information technology to speed up the informatization construction of the electric power industry to a great extent, making grid data sources more extensive and complex, distributed data sources, smart meters, various types of information system will constantly generate huge amounts of data in the power generation, transmission, distribution and consumption etc. the data link, the rapid growth of power. In order to build intelligent and efficient, stable and reliable power grid, must play a supporting role in these power data, the development of electric power is a very important reference, not only conducive to help professionals to explore the power industry some potential internal rules and can truly reflect the social and economic development. Normally, the power is often more complex data types, numeric and character of two kinds of attributes exist at the same time, this paper puts forward a hybrid index structure B＋tree and inverted index based on, to look forward to effectively realize the quick power data retrieval.