Improved query model for rapidly query based on distributed hash index

Aiming at the low efficiency of the Big data query of the internet of Things, the research based on the smart urban management platform, and on the premise of retaining the original platform data integration framework. The query model and process are redesigned and a new data improved query model is proposed by introducing hash coding, distributed index and data dictionary. Compared with the one by one comparison query method, the speed of the improved query model is increased by 10
⁶
times when processing millions of data, which significantly improves the query efficiency of big data. The research results can help improve the data processing and analysis ability of Chongqing Liangjiang Smart Urban Management Platform in China.