JSON character string processing method and device

Abstract

The invention provides a JSON character string processing method and device. The method comprises the steps that of conducting deserialization processing is conducted on a JSON character string to extract a bottom layer element in the JSON character string, and the bottom layer element comprisinges a bottom layer key name and a corresponding first key value; for each underlying element in the underlying elements, generating an index of the underlying element based on the underlying key name of the underlying element; and generating structured data based on the generated index of each underlying element and the corresponding first key value. By utilizing the method disclosed by the invention, the JSON character string can be stored in a structured manner, so that subsequent loading and use are facilitated.

Description

Technical field [0001] The present disclosure generally relates to computer application technology, and more specifically, to a JSON string processing method and device. Background technique [0002] At present, the data directly used for analysis is often structured. Structured data is also called row data. It is data that is logically expressed and realized by a two-dimensional table structure. It needs to strictly follow data format specifications and is mainly stored through relational databases. And management. Corresponding unstructured data is data with irregular or incomplete data structure, without a predefined data model, and data that cannot be represented by a relational model. [0003] In a conventional business system, data is defined by system requirements. The interaction of data in interface calls, parameter passing, return values, and network transmission is usually carried by classes, and then these are transferred through logs, interceptors, etc. Classes are r...

AI Technical Summary

Problems solved by technology

However, both of these existing solutions are insufficient for processing JSON data

The former existing solution requires a specific class definition, and each type needs to refer to the specified definition. If there are a large number of types of JSON, it needs to refer to the definitions of many classes, and the type loading is cumbersome. Causing distress

The latter existing solution is through the matching method. In order to be accurate to a specific value, more additional conditions are often required, because the value (value) corresponding to a key (key) in JSON usually appears in multiple place, so the latter existing solution has low accuracy

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