FlutterFlow and PostgreSQL integration: Step-by-Step Guide 2024

        - A FlutterFlow account. - A PostgreSQL database. - Basic understanding of REST APIs. - Basic understanding of SQL queries.     Before you begin integrating with FlutterFlow, ensure your PostgreSQL database is properly set up. **1.1 Create a PostgreSQL Database** - Open your PostgreSQL client (e.g., pgAdmin, DBeaver). - Connect to your PostgreSQL server. - Execute the following SQL command to create a new database: \`\`\`sql CREATE DATABASE flutterflow\_db; \`\`\` **1.2 Create a Table** - Switch to the new database and create a table: \`\`\`sql \c flutterflow\_db; CREATE TABLE users ( id SERIAL PRIMARY KEY, name VARCHAR(100), email VARCHAR(100) ); \`\`\` **1.3 Insert Sample Data** - Insert some sample data to facilitate easier testing. \`\`\`sql INSERT INTO users (name, email) VALUES ('John Doe', '[email protected]'), ('Jane Smith', '[email protected]'); \`\`\`     You'll need a backend server to act as an intermediary between FlutterFlow and PostgreSQL. You can use Node.js with Express for this purpose. **2.1 Initialize a Node.js Project** - Create a new directory for your project and navigate to it. - Run the following command to initialize the project: \`\`\`bash npm init -y \`\`\` **2.2 Install Dependencies** - Install Express and pg (node-postgres) modules: \`\`\`bash npm install express pg \`\`\` **2.3 Create Express Server** - Create a file named `server.js` and add the following content: \`\`\`javascript const express = require('express'); const { Pool } = require('pg'); const app = express(); const port = 3000; // Database connection configuration const pool = new Pool({ user: 'your_db_user', host: 'localhost', database: 'flutterflow\_db', password: 'your_db_password', port: 5432, }); // Endpoint to fetch users app.get('/users', async (req, res) => { try { const result = await pool.query('SELECT \* FROM users'); res.json(result.rows); } catch (error) { res.status(500).json({ error: error.message }); } }); app.listen(port, () => { console.log(`Server running on http://localhost:${port}`); }); \`\`\` **2.4 Run Your Server** - Start your Node.js server: \`\`\`bash node server.js \`\`\`     **3.1 Open FlutterFlow** - Log in to your FlutterFlow account and open your project. **3.2 Add REST API Data Source** - Navigate to the "API Calls" section in the sidebar. - Click on "Add API Call" to create a new API call configuration. **3.3 Configure API Call** - Name your API call (e.g., GetUsers). - Set the method to GET. - Enter your endpoint URL, e.g., `http://localhost:3000/users`. **3.4 Configure Response & Parameters** - Click on "Add Response" to define how data should be handled. - Set the response type to JSON. - Map the JSON response to the data fields in FlutterFlow. **3.5 Test API Call** - Click on "Test" to ensure that FlutterFlow successfully fetches data from your API.     **4.1 Create a New Page in FlutterFlow** - Click on the "Pages" section in the sidebar. - Add a new page and drag-and-drop ListView or other widgets to display the data. **4.2 Bind Data to Widgets** - Select your list widget and in the "Property Panel," look for the API call you created (GetUsers). - Bind the data fields (name, email) to appropriate text widgets within your list item. **4.3 Configure List Item Layout** - Design your ListItem layout to display user data. - Ensure that data bindings are correctly set, so each list item displays the corresponding user detail.     **5.1 Run the App** - Use the "Run" button in FlutterFlow to preview your application. - Make sure data from the PostgreSQL database appears in the ListView as expected.     **6.1 Deploy to a Hosting Provider** - Once everything is working correctly, you might want to deploy your Node.js server to a cloud provider like Heroku, AWS, or any other. This ensures your REST API is accessible from anywhere, not just your local machine. That’s it! You have successfully integrated FlutterFlow with PostgreSQL through a Node.js backend. Your FlutterFlow application can now interact with your PostgreSQL database, displaying data dynamically.