Parallel Processing of GNSS Network’s Baseline Vectors Based on Spark

In order to solve the problem that the traditional single machine processing largescale and complex GNSS observation data are low efficiency, the Spark large data cluster is introduced, the subnet partition idea and the GAMIT software are used to calculate the GNSS network’s baseline vector, and the parallel computing is realized. The experimental results show that the efficiency is improved and the performance is better than the whole solution,and the accuracy is in the same order, which satisfies the demand of largescale and complex GNSS data processing.