Local multi-query optimization method based on predicate statutes and cost estimation
An optimization method and multi-query technology, applied in computing, special data processing applications, instruments, etc., can solve problems such as inability to accurately estimate query overhead, CPU calculation and network transmission overhead that cannot be ignored, etc., to shorten execution time, reduce The effect of the search space
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[0068] In order to describe the present invention more specifically, the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0069] like figure 1 As shown, the local multi-query optimization method based on predicate reduction and cost estimation is divided into three stages: preprocessing, local multi-query optimization processing and multi-query plan optimization.
[0070] (1) The main steps in the preprocessing stage include:
[0071] Step (1-1), use the existing query optimizer of the data query system to optimize each query in the input query set, find the optimal query plan respectively, and express it in the form of a query plan tree, and finally get query plan tree collection;
[0072] The query plan tree is expressed as T(V,E,D). V is a collection of all nodes in the query plan tree. Each subtask corresponds to a query plan tree node. The nodes contain some operation...
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