Latest developments on parallel database query optimization
Wan Xue-bin · Jisuanji gongcheng yu sheji · 2009
The traditional query tree and optimization method based on multiple weighted tree is studied more ripe.The semantic query method will transform an inquiry into one or several semantic equivalence inquiries.Agent-based parallel database query optimization using multi-agent technology to automatically search the integrity constraint conditions which is related to the determined query,there for,the efficiency between several relationsj’oins is greatly improved.The three important directions on parallel databases’ query op-timization field include the study of parallel databases’ query optimization based on the cluster system,the second,introducing MAS technology and expert systems into this field,and finally,introducing the simulated annealing algorithm and neural network algorithm into this field.