Query task optimization method based on science and technology consultation large-scale graph data
A technology of task optimization and query optimization, which is applied in the direction of electronic digital data processing, special data processing applications, digital data information retrieval, etc., can solve the problems of high communication cost and processing overhead and inapplicability of servers, so as to improve flexibility and reduce Complexity, the effect of improving query efficiency
Pending Publication Date: 2022-02-08
BEIJING UNIV OF POSTS & TELECOMM
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Abstract
The invention provides a query task optimization method and system based on the science and technology consultation large-scale graph data, and a storage medium. According to the invention, the identification of a query task is obtained, and a corresponding query optimization method is selected according to the identification of the query task; and the query optimization method comprises the steps of graph traversal expansion sequence strategy adjustment, Cardinality reduction, mode advance, view materialization, querying of a graph database by using the query optimization method, and outputting of a query result. Therefore, in the method provided by the invention, the corresponding query optimization method can be selected according to the identifier of the query task, and the flexibility of the query method is improved. Meanwhile, in the method provided by the invention, the query optimization method improves the query efficiency of the query task of the science and technology consultation large-scale graph data in different scenes, reduces the complexity of query calculation, and shortens time spent on query.
Application Domain
Special data processing applicationsSemantic tool creation
Technology Topic
Query optimizationGraph traversal +5
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