Information query method and device, electronic equipment and medium

Abstract

The invention relates to an information query method and device, electronic equipment and a medium, and the information query method comprises the steps of: receiving a query request of a user, wherein the query request carries attribute query information for a query object; performing information matching in a pre-constructed database based on the attribute query information, the database storing attribute information of a storage object based on an AVL tree; and outputting an information query result according to an information matching result.

Description

technical field [0001] The present disclosure relates to the technical field of the Internet, and in particular to an information query method, device, electronic equipment and media. Background technique [0002] With the development of Internet technology, it is necessary to store and query attribute information of various types of objects. Taking the field of e-commerce (referred to as e-commerce) as an example, the e-commerce system needs to store the attribute information of various commodities of different merchants in the database. When consumers need to inquire about the attribute information of related commodities, the intelligent response of the e-commerce system The bot will query from the database. [0003] In the process of realizing the concept of the present disclosure, the inventors found that there are at least the following technical problems in related technologies: most e-commerce systems currently use relational databases to store product attribute info...

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Problems solved by technology

[0003] In the process of realizing the concept of the present disclosure, the inventors found that there are at least the following technical problems in related technologies: most e-commerce systems currently use relational databases to store product attribute information, and in some relational database solutions, Construct a table of commodity types, and a large number of tables need to be created for different types of commodities. When performing high concurrent query of multi-type commodity attribute information, there is a problem of low query efficiency; in some relational database solutions, different types of Product attributes are stored in an aggregation table. Under high concurrent requests, the performance of the database will drop sharply or even appear abnormal, resulting in failure to query and update inventory, which greatly reduces the efficiency of query.

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