Abstract: In response to the problems of high system resource load and low unified scheduling efficiency in the centralized seat management mode of the China railway ticketing and reservation system (referred to as the passenger ticket system), this paper deeply analyzed the existing seat data sharding strategy and its influencing factors, and combined with the overall construction plan of the passenger ticket system 7.0, established a sharding strategy based on the basic principles of train departure date and departure train number, driven by business feature weights, proposed two sharding modes, classification and hybrid, suitable for different business processing mechanisms of passenger tickets, and compared them in deployment mode, business processing, dynamic load, etc. It provides theoretical basis for solving the problems of storage balance optimization of seat data between multiple seat data centers and improving the efficiency of seat unified dispatching.