A data storage method and device

Abstract

The embodiment of the invention discloses a data storage method and device, which relate to the technical field of data processing. Among them, it includes: performing data cleaning on the invoice data to be stored, cleaning out the interference data in the invoice data to be stored; determining the taxpayer, the taxpayer, and the relationship between the taxpayer and the taxpayer in the invoice data to be stored after cleaning. Invoice flow data; determine the first node corresponding to the taxpayer and the second node corresponding to the taxpayer in the graph database used to store data; establish the association relationship between the first node and the second node in the graph database; according to The association relationship imports the invoice flow data into the graph database to realize the storage of the invoice data to be stored. When the solutions provided by the embodiments of the present invention are applied, in the case of massive data storage, the user's requirements for data reading and writing can be met.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a data storage method and device. Background technique [0002] With the use of the tax information system, a large amount of invoice data needs to be stored in the database of the system. [0003] In the prior art, a relational database is generally used to store invoice data. Although the above-mentioned relational database can realize the storage of a large amount of invoice data, due to the fixed table structure of the relational database and the low efficiency of data reading and writing, it is difficult to satisfy users after storing data in the above-mentioned relational database when a large amount of invoice data needs to be stored. The demand for data reading and writing, etc. Contents of the invention [0004] The purpose of the embodiments of the present invention is to provide a data storage method and device, which can meet the user's demand for data rea...

AI Technical Summary

Problems solved by technology

Although the above-mentioned relational database can realize the storage of a large amount of invoice data, due to the fixed table structure of the relational database and the low efficiency of data reading and writing, it is difficult to satisfy users after storing data in the above-mentioned relational database when a large amount of invoice data needs to be stored. Requirements for data reading and writing, etc.

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