警用勤务系统中海量GIS数据处理优化与实践

The Optimization and Implementation of Mass GIS Data's Application in Police Service System

随着空间位置的警用勤务考核业务需求的深入应用,传统的通过空间轨迹的历史数据进行查询、分析、统计已经无法满足当前的业务要求。传统方案存在占用磁盘空间大、冗余数据多、查询效率低等问题。故此,引入Map Reduce大数据的处理办法,针对需要勤务统计的内容、方式进行实时规约、映射,并存储规约结果,再结合信度校验机制,为勤务统计提供更直接准确的数据来源。新方法极大地提高了查询效率,并使用合理的数据失效机制,减少了硬盘存储空间的占用和数据冗余。

With the utilization of the spatial position＇ s service examination needs,the traditional scheme by querying,analyzing and tabulating the historical data of space trajectory have been unable to meet current business requirements. There are some problems exist in traditional scheme： take up disk space,redundant data and low query efficiency,etc. Therefore,the introduction of Map Reduce： large data processing scheme could have real-time specification and map for the content and method that need service statistics,and then store protocol result. At the same time,combining with reliability verification mechanism could provide more direct and accurate source of data for statistical service. The new scheme greatly improves the query efficiency,and uses reasonable data failure mechanism. Because of which can largely reduce the occupancy of hard disk storage space and data redundancy.