Adonis Column Alter - JavaScript

Introduction

Adonis Column Alter is a JavaScript library that provides an easy way to alter database table columns using the Adonis.js framework. It allows developers to add, modify, or delete columns in the database without writing complex SQL queries manually.

Features

• Simple and intuitive syntax for altering database table columns.
• Support for various column types, such as strings, numbers, dates, booleans, etc.
• Ability to add default values to newly added columns.
• Seamless integration with Adonis.js migrations for version control and automated deployment.
• Compatible with major database systems, including MySQL, PostgreSQL, SQLite, and more.

Installation

To use Adonis Column Alter in your Adonis.js project, you can simply install it via npm:

npm install adonis-column-alter

Usage

1. Import the adonis-column-alter module in your JavaScript file.

const ColumnAlter = require('adonis-column-alter')

2. Create an instance of the ColumnAlter class, specifying the database connection details.

const columnAlter = new ColumnAlter('mysql', {
  host: 'localhost',
  user: 'root',
  password: 'password',
  database: 'mydatabase'
})

3. Use the various methods provided by the ColumnAlter class to alter the database table columns.

// Add a new column to a table
columnAlter.addColumn('users', 'age', 'integer')

// Modify an existing column
columnAlter.modifyColumn('users', 'email', 'string', { maxLength: 100 })

// Delete a column
columnAlter.deleteColumn('users', 'phone_number')

// Set a default value for a column
columnAlter.setDefault('users', 'is_admin', false)

4. Execute the alteration queries using the execute method.

columnAlter.execute().then(() => {
  console.log('Database schema updated successfully.')
}).catch((error) => {
  console.error('An error occurred while updating the database schema:', error)
})

Conclusion

Adonis Column Alter simplifies the process of altering database table columns in Adonis.js applications. It provides a convenient way to add, modify, or delete columns without manually writing SQL queries. By using this library, developers can save time and effort in managing their database schema changes.

For more information, you can refer to the official documentation.