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Flight test is an essential part of the aircraft before delivery. It also plays an important role in the development of China"s aviation industry. During the flight test, a large amount of test data is generated, which is important for the development、stereotypes and improvements of the aircraft. The traditional experimental data preprocessing technology mostly adopts the single machine working mode. This paper studies a new experimental data preprocessing technology, based on spark distributed memory computing technology by removing the parameter group that does not exist in current data file and reducing the data communication between distributed clusters to solve the high-speed processing of massive test data transforming by ARINC429、ARINC232 and ARINC 664. Finally, 30GB flight test data is selected as the experimental object for verification. Compared with the traditional data processing method, the proposed method effectively improves the data analysis efficiency and overcomes the problems of traditional data processing methods, such as low efficiency and hardware problems.