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📊 Populate Your Database

Transform your empty database into a fully functional system with real data. Endora provides multiple ways to populate your tables with sample data, making it easy to test and demonstrate your API.

🎯 What You'll Learn​

  • ✅ Multiple data insertion methods
  • ✅ Bulk data import capabilities
  • ✅ AI-powered data generation
  • ✅ Data validation and formatting
  • ✅ Sample data best practices

📹 Data Population Overview​

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Data Population Overview

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Learn how to populate your database with sample data using Endora's data management tools.

🚀 Data Insertion Methods​

Method 1: Manual Data Entry​

The simplest way to add data is through the visual interface:

  1. Navigate to Data Source: Go to your project's data source tab
  2. Select Table: Choose the table you want to populate
  3. Add Records: Click "Add Record" and fill in the fields
  4. Save Data: Click save to insert the record

Method 2: File Import​

For larger datasets, use file import:

  1. Prepare Your File: Create CSV or Excel file with your data
  2. Upload File: Use the import feature in the data source tab
  3. Map Columns: Match your file columns to database fields
  4. Import Data: Review and confirm the import

Method 3: AI Data Generation​

Let AI generate realistic sample data:

  1. Access AI Generator: Go to the AI data generation tool
  2. Configure Settings: Set the number of records and data types
  3. Generate Data: Let AI create realistic sample data
  4. Review & Insert: Review generated data and insert into your tables

📹 Manual Data Entry​

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Manual Data Entry

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Learn how to manually add records to your database tables using the visual interface.

📹 File Import Process​

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File Import Process

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See how to import large datasets from CSV and Excel files into your database.

📹 AI Data Generation​

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AI Data Generation

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Discover how to use AI to generate realistic sample data that follows your schema constraints.

🔧 Data Validation​

Automatic Validation​

Endora automatically validates your data:

  • Data Types: Ensures data matches column types
  • Required Fields: Checks for mandatory fields
  • Unique Constraints: Prevents duplicate values
  • Foreign Keys: Validates relationship integrity

Common Validation Rules​

-- Example validation rules
CREATE TABLE users (
    id INTEGER PRIMARY KEY,
    email VARCHAR(255) UNIQUE NOT NULL,
    age INTEGER CHECK (age >= 18),
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

📊 Sample Data Best Practices​

Realistic Data Generation​

When generating sample data:

  1. Use Realistic Names: Generate proper names and addresses
  2. Valid Email Formats: Ensure email addresses are valid
  3. Proper Date Ranges: Use logical date sequences
  4. Consistent Relationships: Maintain referential integrity

Data Volume Guidelines​

  • Development: 10-100 records per table
  • Testing: 100-1000 records per table
  • Demo: 50-500 records per table
  • Production: Use real data or anonymized datasets

🚀 Advanced Data Management​

Bulk Operations​

Perform bulk data operations:

-- Bulk insert example
INSERT INTO users (name, email, age) VALUES
    ('John Doe', 'john@example.com', 30),
    ('Jane Smith', 'jane@example.com', 25),
    ('Bob Johnson', 'bob@example.com', 35);

Data Relationships​

Maintain proper relationships:

-- Insert related data
INSERT INTO posts (user_id, title, content) VALUES
    (1, 'My First Post', 'This is my first blog post'),
    (2, 'Hello World', 'Welcome to my blog');

📹 Data Management Best Practices​

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Data Management Best Practices

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Learn best practices for managing and organizing your database data effectively.

🎯 Next Steps​

After populating your database:

  1. Test Your API: Use the generated endpoints to test your data
  2. Verify Relationships: Ensure foreign key relationships work correctly
  3. Check Performance: Monitor query performance with your data
  4. Update Documentation: Keep your API documentation current

🚀 Ready to Generate Your API?​

With your database populated, you're ready to:

  • Generate API Endpoints: Create REST APIs for your data
  • Test Functionality: Use the built-in testing interface
  • Deploy Your API: Make it available for production use

Your database is now ready for API generation and testing!