Research on Improved Method of Automatic Sampling of Approximate Question in Relational Databases
Qing Li · Journal of Hunan Institute of Humanities, Science and Technology · 2011
Traditional accurate query of mass data is easy to lead to overload.This paper improves the bootstrap method for approximate queries.The sample query is executed in advance,according to the number of every tuple which appears in the sample relation,store information that these tuples need be added into a data table as store information,they are managed by DBMS in the whole bootstrap processing to classify and count obtained results to get the number of certain tuple which appears in every bootstrap processing.The experiment shows that the method is effective.