Sample SQL Insert Generator
Generate SQL INSERT statements for testing and seeding databases
✨ Generated locally in your browser
Ready-to-Download Samples
Download pre-built sample files instantly. No configuration needed.
Users Table (5 rows)
Basic user inserts for MySQL (~500 bytes)
BasicProducts Table (5 rows)
E-commerce products for MySQL (~600 bytes)
E-CommerceCategories Table (8 rows)
Hierarchical categories for MySQL (~400 bytes)
BasicPostgreSQL with UUID
PostgreSQL syntax with UUID columns (~500 bytes)
PostgreSQLSQLite Syntax
SQLite compatible inserts (~350 bytes)
SQLiteUsers Table (25 rows)
Extended user data with profiles (~2 KB)
BasicCreate Custom File
Configure your own file with custom settings and content
Generate SQL INSERT statements instantly for MySQL, PostgreSQL, SQLite, and SQL Server. Create realistic test data for development, testing, and database seeding.
What is SQL INSERT?
SQL INSERT statements add new rows to database tables. They specify the table name, column list, and values to insert. INSERT is one of the four basic CRUD operations (Create, Read, Update, Delete) and is essential for populating databases with initial data, test data, or migrating data between systems.
Why Use This Generator?
Generate realistic test data for development databases
Create seed data for new database installations
Support for 4 major SQL dialects with proper syntax
Batch inserts for efficient bulk data loading
Proper handling of NULL, dates, and special characters
Foreign key relationships in multi-table samples
Dialect-specific features (UUID, JSONB, IDENTITY)
Download ready-to-run SQL files
Common Use Cases
Development Testing
Populate local development databases with realistic sample data for testing features, UI development, and API responses.
Database Seeding
Generate seed data for new database installations, ensuring applications have initial data to work with out of the box.
Demo Environments
Create demonstration databases with sample products, users, and orders for sales demos and training sessions.
Performance Testing
Generate large datasets to test query performance, indexing strategies, and database optimization.
Migration Testing
Create test data to validate data migration scripts and ensure data integrity during database upgrades.
Learning SQL
Students and beginners can use generated INSERT statements to learn SQL syntax and practice database operations.
Features
Multiple table templates: Users, Products, Orders, Employees, Posts
Four SQL dialects: MySQL, PostgreSQL, SQLite, SQL Server
Configurable row count (1-100 rows)
Batch INSERT with VALUES list for efficiency
Proper NULL handling and string escaping
Dialect-specific date/time formats
SQL Server IDENTITY_INSERT handling
PostgreSQL UUID and JSONB examples
Foreign key relationships preserved
Descriptive SQL comments
Download as .sql file
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How It Works
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Frequently Asked Questions
What SQL dialects are supported?
Our generator supports MySQL, PostgreSQL, SQLite, and SQL Server. Each dialect uses its native syntax including proper string quoting (N prefix for SQL Server), date formats, and boolean representations.
Can I generate data for custom tables?
The generator provides templates for common tables: users, products, orders, employees, and blog posts. Each template generates realistic sample data with proper foreign key relationships where applicable.
How do batch inserts work?
Batch inserts use a single INSERT statement with multiple VALUES clauses, which is more efficient than individual INSERT statements. This is supported by MySQL, PostgreSQL, and SQLite. SQL Server supports this for up to 1000 rows.
Is the generated data realistic?
Yes, the generator creates realistic sample data including proper names, email formats, prices, dates, and status values. The data is suitable for development, testing, and demonstration purposes.
How do I use the generated SQL?
Copy the generated SQL and run it in your database client (MySQL Workbench, pgAdmin, DBeaver, etc.) or include it in migration/seed files. Make sure the target tables exist with matching column structures.
What about NULL values and special characters?
The generator properly handles NULL values and escapes special characters in strings. Single quotes are escaped as '' per SQL standard. Unicode strings in SQL Server use the N prefix.