A Storage Method for Tree Structure Data in Cloud Environment

With rapid development of the Internet and mobile Internet, network data sources have dramatically increased and data volume has also grown explosively. As can be seen in cloud storage in the Internet and social contacts in social networking software, tree structure data play an important role with promising prospects for development. The traditional storage method for tree structure data stored in relational database is no longer adaptive to big data environment. Therefore, this paper puts forward a storage method for tree structure data in cloud environment through distributed columnar database HBase. Based on the traditional adjacency list method to store tree structure data, the method proposed in this paper realizes efficient query, deletion and update of tree structure data by adding a small amount of redundant information.