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Table of Contents
Generate JSON directly using SQL queries
Export using scripting languages ??such as PHP/Python
Simplify the process using third-party tools
Additional suggestions: Consider whether the entire library is really needed to export to JSON
Home Database Mysql Tutorial mysql export database to json

mysql export database to json

Jul 11, 2025 am 12:33 AM

Exporting MySQL database to JSON format can be achieved by the following methods: 1. Use SQL queries to generate JSON directly, suitable for exporting small data volumes and single tables, implemented through the JSON_OBJECT() and JSON_ARRAYAGG() functions, but does not support large tables and only output data; 2. Exporting using scripting languages ??such as Python has higher flexibility, can handle multiple tables, add metadata, and format output; 3. Use third-party tools such as phpMyAdmin or MySQL Workbench to simplify the process, suitable for users who do not want to write code, but may have size limitations and privacy risks; in addition, if the goal is backup or migration, it is recommended to use mysqldump or return data on demand through the API.

mysql export database to json

Exporting MySQL database to JSON format is not a native supported feature, but it can be implemented through some methods. The key is to understand your needs: you may want to use data for front-end display, API interface debugging, or as a form of backup.

mysql export database to json

The following are several common and practical methods to help you convert MySQL data into JSON format.


Generate JSON directly using SQL queries

MySQL has introduced several functions to support JSON generation and operation since 5.7, among which the most commonly used are JSON_OBJECT() and JSON_ARRAYAGG() .

mysql export database to json

Applicable scenarios : You only need to export part or all of the data of a certain table as JSON, and do not involve the entire database structure.

Example statement :

mysql export database to json
 SELECT JSON_OBJECT('id', id, 'name', name, 'email', email) AS json_data
FROM users;

If you want to merge multiple records into one array:

 SELECT JSON_ARRAYAGG(JSON_OBJECT('id', id, 'name', name, 'email', email)) AS json_data
FROM users;

This can be run directly on the client (such as command line, Navicat, DBeaver), and then copy the output and save it as a .json file.

Notes :

  • Field names need to be listed and mapped manually.
  • Not suitable for large tables, may cause query performance to degrade.
  • Only output data, not including table structure.

Export using scripting languages ??such as PHP/Python

If you need more flexible control, such as handling multiple tables, adding field comments, formatting output, etc., it will be more appropriate to use scripting language.

Recommended languages : PHP, Python, and Node.js can all be done, here we take Python as an example.

The steps are briefly as follows :

  • Install mysql-connector-python
  • Connect to the database
  • Execute a query and convert the results into a dictionary list
  • Write to a file using json.dump()

Code snippet schematic :

 import mysql.connector
import json

conn = mysql.connector.connect(
    host="localhost",
    user="root",
    password="password",
    database="mydb"
)

cursor = conn.cursor(dictionary=True)
cursor.execute("SELECT * FROM users")
rows = cursor.fetchall()

with open("users.json", "w") as f:
    json.dump(rows, f, indent=4)

advantage :

  • Supports complex logic processing
  • Multiple tables can be processed in batches
  • Metadata such as timestamps and version information can be added

Simplify the process using third-party tools

If you don't want to write code, you can also use some ready-made tools to complete the export task.

Recommended tools :

  • phpMyAdmin : If you have already installed phpMyAdmin, you can select "Export" when browsing the table and then select "JSON" format.
  • MySQL Workbench : Although it cannot be exported directly to JSON, files in CSV or JSON format can be generated through the "Export Wizard" (some versions support).
  • Online conversion tools : For example, uploading exported CSV files to certain websites and automatically converting them to JSON.

Note :

  • Tools may have size limitations and are not suitable for large amounts of data.
  • Online tools have privacy risks, and use sensitive data with caution.
  • Exporting results may be less granular than custom scripts.

Additional suggestions: Consider whether the entire library is really needed to export to JSON

Although JSON is a very popular data format, MySQL is not designed for this purpose. If your goal is to migrate data or do backups, the more suitable way is:

  • Export SQL files using mysqldump
  • If you need to separate structure and data, you can also export the structure as SQL first, and then export the data as JSON separately
  • For web application development, it is recommended to return JSON data on demand through the API interface instead of exporting the entire database at once

Basically these are the methods. Just choose the right one according to your actual needs. For example, if you have a small amount of data, you can do it directly by SQL querying. For larger projects, it is easier to write a script.

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