Architecture Design Based on Big Data Storage Technology for Launch Vehicle Test Data

In recent years, the test data of launch vehicle shows the characteristics such as large data volumes, numerous files, complex data types and rapid growth rates. Traditional relational databases are inadequate to meet the requirements for the storage and application of massive data produced by launch vehicle test due to the relatively low query efficiency for large volume data, lack of data backup and poor scalability. A storage and application architecture based on big data technology including HDFS, HBase, SeaweedFS, Elasticsearch and Hive is designed for massive launch vehicle test data. Practical engineering application has demonstrated that this architecture shows good reliability and scalability, and can meet the storage and query demands of launch vehicle test data effectively.