Checkout official @adminjs/sql for Postgres.

This repository will be archived when the official adapter supports Mysql and Mariadb.

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adminjs-sql

This is an unofficial AdminJS adapter which integrates SQL-based database into AdminJS.

Installation: yarn add adminjs-sql

Usage

The plugin can be registered using standard AdminJS.registerAdapter method.

import { Adapter } from 'adminjs-sql';
import AdminJS from 'adminjs';

AdminJS.registerAdapter(Adapter);

After registration, you should call Adapter.init(client, connectionOptions) to parse table information from running database.

// import { Adapter } from 'adminjs-sql';
// ...
const db = await Adapter.init('mysql2', {
  host: DB_HOST,
  port: DB_PORT,
  user: DB_USER,
  password: DB_PASSWORD,
  database: DB_NAME,
});

After initialization, you can register resources. db.tables() to register ALL tables in database. Or you can db.table(tableName) to register specific table.

const adminJs = new AdminJS({
  databases: [db],
  resources: db.tables(),
  // or
  resources: [db.table('users'), db.table('posts'), db.table('comments')],
});

ManyToOne

This supports ManyToOne relationship if you define a foreign key.

Example App

You can run example app with docker.

1. Clone this repository.

git clone https://github.com/wirekang/adminjs-sql
yarn install
yarn build

2. Setup example project.

cd example/
yarn install

3. Run mysql:latest in docker container. Checkout docker-compose.yml

yarn up

4. Run example app.

yarn start


# Generating samples...
# Inserting samples...
# adminjs-sql example app is under http://localhost:33300

5. After enjoying the example, you can clean down MySQL server.

yarn down

Testing

We use docker compose to run various databases for testing.

yarn test:up # docker compose up -d

yarn test

yarn test:down # docker compose down

How It Works

adminjs-sql collects information about tables and columns from INFORMATION_SCHEMA and converts to adminjs. This project uses Knex Query Builder to generate SQL string.

Supported Databases

• MySQL
• MariaDB