International Journal of Geo-Information Article An Effective NoSQL-Based Vector Map Tile Management Approach Lin Wan 1, Zhou Huang 2,* and Xia Peng 3,4 1 Faculty of Information Engineering, China University of Geosciences, Wuhan 430074, China;
[email protected] 2 Institute of Remote Sensing & GIS, Peking University, Beijing 100871, China 3 Institute of Tourism, Beijing Union University, Beijing 100101, China;
[email protected] 4 State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China * Correspondence:
[email protected]; Tel.: +86-10-6276-0132 Academic Editors: Bert Veenendaal, Maria Antonia Brovelli, Serena Coetzee, Peter Mooney and Wolfgang Kainz Received: 15 August 2016; Accepted: 5 November 2016; Published: 12 November 2016 Abstract: Within a digital map service environment, the rapid growth of Spatial Big-Data is driving new requirements for effective mechanisms for massive online vector map tile processing. The emergence of Not Only SQL (NoSQL) databases has resulted in a new data storage and management model for scalable spatial data deployments and fast tracking. They better suit the scenario of high-volume, low-latency network map services than traditional standalone high-performance computer (HPC) or relational databases. In this paper, we propose a flexible storage framework that provides feasible methods for tiled map data parallel clipping and retrieval operations within a distributed NoSQL database environment. We illustrate the parallel vector tile generation and querying algorithms with the MapReduce programming model. Three different processing approaches, including local caching, distributed file storage, and the NoSQL-based method, are compared by analyzing the concurrent load and calculation time.