内存数据处理相较磁盘数据处理有明显的速度优势.在基于磁盘的数据管理系统中，设计者往往会花很多精力对事务响应时间进行调优，以提高应用的用户体验.在内存数据管理系统中，由于存储介质的改变，事务响应时间得到极大提升，甚至远远超出应用系统的需求.因此，系统设计者将注意力转移到对吞吐率的优化上.批处理技术的本质是通过牺牲响应时间换取吞吐率，它将在内存计算中得到广泛应用.本文讨论批处理方式在内存数据管理系统中的应用，并以移动对象管理为实际案例，验证批处理在内存数据管理中的优化效果.

Main memory based data processing is substantially faster than disk based data processing. When developing a traditional Disk Resident DBMS, various optimization techniques are required to ensure that query response time meet the requirements of general applications. This is less necessary for a Main Memory DBMS, whose response time usually goes far beyond the requirements of most applications, due to the superior speed of main memory. As a result, throughput becomes a more important concern for system design. The central idea of Batch Processing is to achieve improved throughput at by trading off response time. Therefore, we believe that batch processing will play an important role in main memory centered data processing. This paper attempts to provide some insight on how to apply the idea of batch processing to speedup Main Memory DBMS. A case study on inmemory moving object manage is used to demonstrate the effectiveness of batch processing.