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Table of Contents
How to store JSON data
How to query and manipulate JSON data
Performance considerations
Home Database Mysql Tutorial Working with JSON data types in MySQL

Working with JSON data types in MySQL

Jul 03, 2025 am 02:10 AM

MySQL supports JSON data types since 5.7, which can be used to store and operate JSON data; 1. When storing, you need to use JSON type fields and ensure the format is correct; 2. Query the JSON_EXTRACT or -> operator to extract field values; 3. Modify functions such as JSON_SET to update content; 4. In terms of performance, you cannot directly index internal fields, and can be implemented by generating columns; 5. JSON is more suitable for scenarios with more reads, fewer writes and less complex structures.

Working with JSON data types in MySQL

MySQL supports JSON data types starting from version 5.7, which makes it much easier to store and manipulate JSON format data in the database. Although it is not as flexible as a dedicated document-based database, it does provide a good compromise in the scenario of mixing structured and semi-structured data.

Working with JSON data types in MySQL

How to store JSON data

MySQL provides JSON type fields that can be used to directly store strings in JSON format. For example, if you have a user table and want to record unstructured content such as user interests, hobbies, device information, etc., you can define a JSON type column:

Working with JSON data types in MySQL
 CREATE TABLE users (
    id INT PRIMARY KEY,
    name VARCHAR(100),
    metadata JSON
);

When inserting data, you can directly pass in standard format JSON strings:

 INSERT INTO users (id, name, metadata)
VALUES (1, 'Alice', '{"hobbies": ["reading", "coding"], "devices": {"phone": "iPhone", "laptop": "MacBook"}}');

It should be noted that MySQL will verify whether the JSON you entered is legal. If the format is wrong, an error will be reported. Therefore, it is best to make sure that the JSON is correct before writing.

Working with JSON data types in MySQL

How to query and manipulate JSON data

MySQL provides a series of functions to access and manipulate JSON data, the most commonly used is JSON_EXTRACT() . For example, want to find out all users who use iPhone:

 SELECT name FROM users
WHERE JSON_EXTRACT(metadata, '$.devices.phone') = '"iPhone"';

Here is a small detail: the extracted value is JSON type by default (with quotes), so when comparing, you need to add double quotes or use the ->> operator to automatically convert it into a string:

 SELECT name FROM users
WHERE metadata->>'$.devices.phone' = 'iPhone';

In addition to extracting, you can also modify JSON content. For example, add a new project to a user's interests:

 UPDATE users
SET metadata = JSON_SET(metadata, '$.hobbies[2]', 'traveling')
WHERE id = 1;

Performance considerations

Although the JSON type is convenient, it also has some performance limitations. First, you cannot directly index specific fields in the JSON field unless you use a generated column and persist it. For example, you want to index devices.phone :

 ALTER TABLE users
ADD COLUMN phone VARCHAR(50) GENERATED ALWAYS AS (JSON_UNQUOTE(JSON_EXTRACT(metadata, '$.devices.phone'))) STORED;

CREATE INDEX idx_phone ON users(phone);

This allows you to use indexes like normal fields. However, this method increases maintenance costs and requires weighing whether you really need to query this field frequently.

In addition, the JSON type is more suitable for scenarios where more reads and less writes or changes in data infrequently. If you often need to deeply parse and update nested structures, you may want to consider whether some fields should be "deconstructed" and stored as columns separately.


Basically that's it. The key to using MySQL's JSON type is to know when to use it and when not to over-depend. The structure should not be too complicated, and do not nest too deeply, otherwise it will be easy to write dizzy when querying.

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