E-commerce commodity attribute data processing method and device based on graph database

A technology of commodity attributes and attribute data, applied in the database field, can solve problems such as efficiency bottlenecks, model impedance mismatches, and reduce development efficiency, so as to avoid pressure and bottlenecks, solve impedance mismatch problems, and improve efficiency.

Pending Publication Date: 2021-11-05
北京值得买科技股份有限公司
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0005] The attribute data storage method based on the relational database will lead to frequent table association queries, which will put pressure on the database service
There is a bottleneck in efficiency when querying multi-degree product attribute relationships
At the same time

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  • E-commerce commodity attribute data processing method and device based on graph database
  • E-commerce commodity attribute data processing method and device based on graph database
  • E-commerce commodity attribute data processing method and device based on graph database

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Embodiment Construction

[0057] Preferred embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although preferred embodiments of the invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

[0058] The terminology used in the present invention is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used herein and in the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term "and / or" as used herein refers to and includes any and all possible combinations o...

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Abstract

The invention relates to an e-commerce commodity attribute data processing method and device based on a graph database. The method comprises the following steps: constructing an entity relationship model of attribute data, initializing the entity relationship model in a graph database, and storing the entity relationship model as a graph model in the graph database; analyzing the attribute data, and converting the attribute data into data files of entities and relationships according to the graph model; and configuring a mapping relationship between the graph model and the data file, and carrying out full-amount synchronization from the relational data file to the graph database. According to the technical scheme provided by the invention, a set of commodity attribute data processing and storage method is formed by constructing the data processing device based on the graph database model, so that the requirement of commodity attribute multi-degree association relationship query can be well supported, and the pressure and bottleneck caused by frequent join of a relational database are avoided. Meanwhile, the problem of impedance mismatching in the engineering process can be solved, and the development efficiency is effectively improved.

Description

technical field [0001] This patent relates to database technology, and specifically belongs to the field of graph database applications. Background technique [0002] With the rapid development and prosperity of the e-commerce field, online shopping has become an indispensable and important part of public life. Compared with the traditional way of offline purchase, online shopping cannot directly contact the entity of the product, and needs to understand the characteristics of the product through information carriers such as pictures, texts, and videos. In the product description information on the page, the product attribute data is a collection of product features and is a key reference for consumers to make shopping decisions. [0003] In the face of massive commodity attribute data, the existing storage solution is to store multi-tables in accordance with the 3NF standard through a relational database. In terms of query efficiency, this storage method requires a large ...

Claims

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Application Information

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IPC IPC(8): G06F16/2457G06F16/27G06F16/28
CPCG06F16/24578G06F16/27G06F16/285G06F16/288
Inventor 哈达付飞张勇林斌杨守斌郑枫
Owner 北京值得买科技股份有限公司
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