后端数据库机的批查询优化处理

QUERY PROCESSING AND OPTIMIZING IN BATCH OF BACKEND DATABASE MACHINES

本文探讨了后端数据库机的批查询处理和多查询优化问题、首先,建立模型MQPM,解决与批查询处理有关的各种技术问题.其次,为改善批处理效率,研究了多查询优化的方法.最后给出了批查询处理和多查询优化算法,并证明这些算法提高了模型系统TDM的吞吐量.

Query processing in batch and multiquery optimizing of backend database machines are discussed. First, the model MQPM is built so as to solve some technological problems about query processing in batch. Then, the methods of multiquery optimizations are studied. Finally, the algorithms of query processing in batch and multiquery optimizing are presented, which greatly raise the throughput of the sample system TDM.