Simplify database operations in your Node.js projects with AI2SQL. Convert plain English into optimized SQL queries tailored for frameworks like Sequelize, TypeORM, Prisma, and raw SQL for Express.
Start building queries effortlessly with AI2SQL Node.js SQL AI Helper.
Framework Support
AI2SQL provides seamless SQL generation for popular Node.js frameworks and ORMs:
Express with raw SQL.
Sequelize ORM.
TypeORM.
Prisma.
Knex.js.
How It Works
Visit AI2SQL.
Select Node.js and your preferred ORM or framework.
Describe your query in natural language.
Instantly receive optimized SQL code or ORM queries.
Example Queries with AI2SQL
1. Express with mysql2
Natural Language: "Find active users with their recent orders."
const mysql = require('mysql2/promise');
const getActiveUsersWithOrders = async (pool) => {
const query = `
SELECT
u.id, u.name, u.email,
o.order_id, o.total_amount, o.created_at
FROM users u
LEFT JOIN orders o ON u.id = o.user_id
WHERE u.status = 'active'
AND o.created_at >= DATE_SUB(NOW(), INTERVAL 30 DAY)
ORDER BY o.created_at DESC`;
try {
const [rows] = await pool.execute(query);
return rows;
} catch (error) {
console.error('Query error:', error);
throw error;
}
};2. Sequelize ORM
Natural Language: "Calculate monthly revenue by product category."
const { Op } = require('sequelize');
const { Order, OrderItem, Product } = require('./models');
const getMonthlyRevenue = async () => {
return await Order.findAll({
attributes: [
[Sequelize.fn('DATE_FORMAT', Sequelize.col('created_at'), '%Y-%m'), 'month'],
[Sequelize.fn('SUM', Sequelize.col('OrderItems.quantity * OrderItems.price')), 'revenue']
],
include: [{
model: OrderItem,
include: [{
model: Product,
attributes: ['category']
}]
}],
group: [
'month',
'OrderItem.Product.category'
],
raw: true
});
};3. TypeORM
Natural Language: "Get users with unread notifications and their last login."
import { getRepository } from 'typeorm';
const getUserNotifications = async () => {
const userRepository = getRepository(User);
return await userRepository.createQueryBuilder('user')
.leftJoinAndSelect('user.notifications', 'notification')
.where('notification.read = :read', { read: false })
.andWhere('user.lastLogin >= :date', {
date: new Date(Date.now() - 24 * 60 * 60 * 1000)
})
.select([
'user.id',
'user.email',
'user.lastLogin',
'notification'
])
.getMany();
};Advanced Features of AI2SQL
1. Query Optimization
Automatic Index Suggestions: Improve query performance.
Join Optimization: Reduce redundant joins.
N+1 Query Prevention: Ensure efficient data fetching.
2. Security Features
Prevent SQL Injection with parameterized queries.
Enforce strict input validation.
Implement error handling for robust applications.
3. Performance Enhancements
Connection pooling for better resource utilization.
Query caching to reduce repetitive execution.
Batch operations for large datasets.
Best Practices for Node.js Database Operations
1. Database Connection Setup
const pool = mysql.createPool({
host: 'localhost',
user: 'root',
password: 'password',
database: 'mydb',
waitForConnections: true,
connectionLimit: 10,
queueLimit: 0
});2. Error Handling
const executeQuery = async (query, params = []) => {
try {
const [rows] = await pool.execute(query, params);
return rows;
} catch (error) {
console.error('Database error:', error);
throw new Error('Database operation failed');
}
};3. Transaction Management
const performTransaction = async (operations) => {
const connection = await pool.getConnection();
await connection.beginTransaction();
try {
const results = await operations(connection);
await connection.commit();
return results;
} catch (error) {
await connection.rollback();
throw error;
} finally {
connection.release();
}
};Common Use Cases
1. RESTful API Queries
Natural Language: "Create CRUD endpoints for a products API."
const router = express.Router();
router.get('/products', async (req, res) => {
const { page = 1, limit = 10 } = req.query;
const offset = (page - 1) * limit;
const query = `
SELECT * FROM products
LIMIT ? OFFSET ?
`;
try {
const [products] = await pool.execute(query, [limit, offset]);
res.json(products);
} catch (error) {
res.status(500).json({ error: error.message });
}
});2. Analytics Queries
Natural Language: "Generate sales dashboard data."
const getDashboardData = async () => {
const query = `
SELECT
DATE_FORMAT(created_at, '%Y-%m') as month,
COUNT(DISTINCT customer_id) as unique_customers,
SUM(total_amount) as revenue,
AVG(total_amount) as avg_order_value
FROM orders
WHERE created_at >= DATE_SUB(NOW(), INTERVAL 12 MONTH)
GROUP BY month
ORDER BY month DESC
`;
return await executeQuery(query);
};FAQs About AI2SQL
Q: Can I use these queries with any database?
A: Yes, AI2SQL supports MySQL, PostgreSQL, SQLite, and SQL Server.
Q: Does it support TypeScript?
A: Absolutely! Generated queries include TypeScript-friendly structures.
Next Steps
Start Building Queries: Try the Node.js SQL AI Helper.
Explore Advanced Features: Leverage AI2SQL for secure and optimized queries.
Integrate Seamlessly: Simplify your Node.js application development.
For support, reach out to us at support@ai2sql.io.
Simplify your database operations with AI2SQL!
