实时数据库异步增量数据处理方法与性能分析

摘要

对实时数据库海量数据的高效处理技术一直是企业数据管理与分析工作面临的挑战性问题.文中针对实时数据库中的海量历史数据,设计了对其进行统计分析的异步增量数据处理方法,从方法应用层面给出了用户事件驱动和定时服务两种调用方式.实验结果表明,该方法减少了海量实时数据的统计计算时间,有效地提高了数据分析的响应性能.%Efficient data processing technology of real-time database has long been a challenge to the management and analysis of enterprise data. This paper puts forward a asynchronous and incremental data processing method for statistical analysis of the historical data in real-time database. Two calling modes of user event driving and timing service are presented. The experimental results show that the method reduces the time of statistical calculation and improves response performance of data analysis.