The Model of Fuzzy Retrieval Based on External Index
Lu Deng, Wei Hong Han, Dong Liu, Ying Yidu Xiong · Applied Mechanics and Materials · 2013
With the rapid development of the Internet, database is getting more and more attention for its advantages of high concurrency, high scalability and high availability. In order to solve the problem that how to retrieving the data in the database efficiently and accurately, a model of fuzzy retrieval based on external index is proposed in this paper. By this external index, the efficiency of the NoSQL databases retrieval whose column not be appointed is greatly improved. As an example, the Cassandra database is adopted to store the data and the external index is stored in the national databases. A community information management system is utilized to show the feasibility of the model. The results show that the model can save a lot of time in retrieval whose column not be appointed. Moreover, this model can also be used to some other NoSQL databases.