How Can I Efficiently Parse Complex JSON Data Using Json.net in C#?

Using json.net to analyze json data

Introduction

Analysis of JSON data may be a challenging task, especially when dealing with complex structures. This article aims to clarify the process of using JSON.NET to analyze JSON, provide guidance and highlight common methods.

Analysis of JSON's method

jsontextReader

JSONTEXTREADER reads JSON text in a streaming manner, allowing developers to increase data to read data. However, it needs a thorough understanding of JSON grammar and may be difficult to use effectively.

serialization and derivativeization

Serialization converts the object to the JSON string, while the deepericularization is reconstructed from JSON. This method needs to create a class that matches the JSON structure and can simplify the data operation.

Customized parser

Constructing a custom parser can fully control the parsing process, allowing developers to define their own rules and processing logic. However, it requires a lot of development work and in -depth understanding of JSON grammar.

Use JavaScriptserializer (abandoned)

JavaScriptserializer is another method provided in the system.web.extExtensions library. Although it can handle JSON, it is not officially supported by Microsoft and has been abandoned in the higher version of the .NET.

Recommended method: serialization and desertation

In most cases, serialization and deepening serialization JSON are the preferred methods. By defining a class that matches the JSON structure, developers can use object -oriented programming and linq powerful functions to efficiently perform data operation and inquiry.

Example: Analyze the complex JSON

Consider the following JSON structure:

To analyze this JSON by using serialization and desertileization, please define the following categories:

Then, sequence JSON's back serving into FOO object:

FOO objects now include paleotic data, which can be operated using object -oriented technology.

Please note that the type of has been modified from

<code>{
    "displayFieldName" : "OBJECT_NAME", 
    "fieldAliases" : {
        "OBJECT_NAME" : "OBJECT_NAME", 
        "OBJECT_TYPE" : "OBJECT_TYPE"
    }, 
    "positionType" : "point", 
    "reference" : {
        "id" : 1111
    }, 
    "objects" : [ {
        "attributes" : {
            "OBJECT_NAME" : "test name", 
            "OBJECT_TYPE" : "test type"
        }, 
        "position" : {
            "x" : 5, 
            "y" : 7
        }
    } ]
}</code>

to

according to the example JSON data. This makes the code more fit the actual situation. If is an enumeration type in practical applications, the code should be modified accordingly.

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