Instrument and equipment sharing management platform for Chinese Academy of Sciences can solve the problems of closed management, difficult sharing, and low operation efficiency of instruments and equipment among scientific units effectively. Meanwhile, users can learn the using and the sharing situation of various instruments through the system. The SAMP system can provide decent decision-making basis for scientific and efficient management work of competent business departments at all levels. So when the data, which belong to the apparatus apply info table, reaches the million scale, the query performance will decline quickly because of using joining query. At present, the solution is using sharding, just like Hash fetching algorithm. Because of the meaningless ID, this way is ineffective. There is a certain degree of aggregation in geographical areas between users and instruments, so a strategy that based on the K-means algorithm is used in this study. The result shows it can improve the query performance at least 70%.