Efficient stereo index technology for fast combination query of electric power big data
Zeng Nan, Hao Hanyong, Zheng Haiyan · 2016
With the construction and development of power system acquisition, lots and lots of electric power data have been accumulated, and the era of electric power big data is coming. Although Hadoop can share pressure through lateral expansion of common computers to obtain efficient processing performance, simple progressive scanning has been unable to meet the performance requirements when each computer stores large amount of data. Under these circumstances, the establishment of index mechanism with high performance and fast combination query function becomes very important. Therefore, an efficient stereo index(ESI) technology which is suitable for electric power big data was proposed in this paper. An integration solution of electric power big data efficient index and fast combination query was built based on ESI. The calculation and analysis showed that the solution greatly improved the efficiency of the combination query of electric power big data.