Distributed linked stream data query system architecture based on STORM

In order to solve the problem of data distribution, heterogeneity, real-time and massive in the Internet environment, this paper studies the data query based on Linked Stream data, and uses the more advanced data query technology CQELS. It is deployed on the Storm distributed architecture with large data-handling capabilities. This article first CQELS study, a detailed analysis of CQELS built local operators and optimized data structures, continuous execution algorithm is proposed to make it more suitable for real-time processing of streaming data. In the distributed deployment, this paper describes the CQELS query engine deployment process through the Storm distributed architecture. The final forming system in the distributed large data query processing speed has been greatly improved.