Abstract: Aiming at the problem that the read and write delays caused by the exponential growth of data in the distribution network are getting longer, this paper proposed a new multi-threaded cluster shared memory folding compression method. The data structure flattening process was integrated into the data compression. By enabling the memory folding method, data redundancy was eliminated during the process of writing the memory, the data structure was changed, the number of times of flushing to the disk was reduced, and the pressure of the disk block buffer was alleviated. Therefore, the reading and writing performance of the data was improved. Taking the measured data of the remote movement dispatching monitoring system of a 10kV distribution network in Beijing as an example, a four-node test cluster was built to perform the cluster memory compression import delay test and the read/write performance test. The experimental results show that enabling memory compression can optimize the memory structure and significantly improve the read and write performance of the scheduling monitoring database.