关键词: 图数据, 多数据模型, 查询感知, 冗余存储优化, 启发式规则

Abstract:

In the era of big data, how to maintain efficient query of data in different scenarios has attracted continuous attention, but how to improve query efficiency by improving data storage management technology remains to be further studied. Therefore, considering the advantages of variable types of graph data structure, rich application scenarios and high value of data sets, it proposes a cooperative-storage data’s schema using relational-graph data model, and designs an adaptive storage optimization technology based on user query perception to solve the problem of data storage redundant optimization in multi-data models. Different query performance of each engine can be obtained by analyzing different engines processing different queries and data redundancy in multi-data models storage, the adaptive storage technology of user query-aware is proposed. Combined with user history query and the characteristics of query, the optimization algorithm based on heuristic rules is used to optimize the data storage of multi-data models.

Key words: graph data, multi-data models, query-aware, storage redundant optimization, heuristic rules