A Real Time Retrieval Method of Massive Arrears User Profile Data Based on HBase

Due to the large amount, fast speed and incompatibility of the massive arrears users' file data, it has brought some impact on their retrieval work. In order to improve the accuracy and efficiency of massive arrears user archive data retrieval, a real-time retrieval method for massive arrears user archive data based on HBase is proposed. Based on the Hadoop architecture, the massive arrears user profile data is collected, the massive arrears user profile data is linearly converted, the dimensions are reduced, and the massive arrears user profile data is preprocessed. On this basis, HBase storage model and HBase two-level fast index are established to realize real-time retrieval of massive arrears user file data based on HBase. The experimental results show that the retrieval accuracy of the proposed method is 97.6%, and the retrieval time is only 6.8 ms, which can effectively improve the retrieval accuracy and efficiency of the massive arrears user file data.