Research on fast query algorithm for SQLite data to large dcale fatasets
When using SQLite database for storing a large amount of real-time data,with the increasing amount of data,when the amount of data in a single table is more than ten million,the query speed will be very slow when querying by using non-primary key fields,and how to efficiently query the database has become an important topic.In this paper,we propose a fast query algorithm for SQLite database composed of large-scale datasets,which realizes the fast query for target dataset localization through the pri-mary key field based on the half-fold lookup method.The method first associates the primary key field with a specific non-primary key field value by using the halving algorithm to obtain the primary key field corresponding to a specific non-primary key field that satisfies the condition,and then utilizes this primary key field for data retrieval.The experimental results show that the algorithm can significantly improve the data query efficiency.
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