MySQL Bulk Insert Generator (Datetime & Boolean Fixes)
Generate production-ready MySQL mock data with proper datetime formatting, boolean handling, and MySQL-specific syntax.
Why MySQL Developers Choose MockBlast
MySQL has specific datetime and boolean requirements that can break imports if your mock data isn't formatted correctly. MockBlast handles these automatically:
π Proper Datetime Formatting
Generates MySQL-compatible datetime values (YYYY-MM-DD HH:MM:SS) and TIMESTAMP values that MySQL accepts without errors. No more "incorrect datetime value" messages.
β Boolean Handling
Correctly generates TINYINT(1) values (0 or 1) for boolean columns, matching MySQL's internal representation. Works with both BIT(1) and TINYINT(1).
β‘ Bulk INSERT Optimization
Generates optimized bulk INSERT statements with multiple value sets in a single query. Much faster than individual INSERT statements.
π’ AUTO_INCREMENT Support
Understands AUTO_INCREMENT columns and generates proper sequential IDs. Maintains referential integrity with foreign keys automatically.
MySQL-Specific Features
MockBlast understands MySQL's unique data types and constraints:
- β’DATETIME & TIMESTAMP: Generates valid MySQL datetime values with proper formatting.
- β’TINYINT(1) Booleans: Correct boolean representation (0/1) for MySQL.
- β’AUTO_INCREMENT: Sequential ID generation that matches MySQL behavior.
- β’VARCHAR & TEXT: Proper string escaping for MySQL INSERT statements.
- β’ENUM Types: Support for MySQL ENUM columns with predefined values.
- β’Foreign Keys: Maintains referential integrity across InnoDB tables.
Example: MySQL Schema with Datetime and Booleans
Import This Schema:
CREATE TABLE users ( id INT AUTO_INCREMENT PRIMARY KEY, name VARCHAR(100) NOT NULL, email VARCHAR(100) UNIQUE NOT NULL, is_active TINYINT(1) DEFAULT 1, email_verified TINYINT(1) DEFAULT 0, created_at DATETIME DEFAULT CURRENT_TIMESTAMP, updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP ) ENGINE=InnoDB; CREATE TABLE orders ( id INT AUTO_INCREMENT PRIMARY KEY, user_id INT, total DECIMAL(10, 2), is_paid TINYINT(1) DEFAULT 0, order_date DATETIME, FOREIGN KEY (user_id) REFERENCES users(id) ) ENGINE=InnoDB;
MockBlast Generates:
INSERT INTO users (id, name, email, is_active, email_verified, created_at, updated_at) VALUES (1, 'John Doe', 'john@example.com', 1, 1, '2024-01-15 10:30:00', '2024-01-15 10:30:00'), (2, 'Jane Smith', 'jane@example.com', 1, 0, '2024-01-16 14:20:00', '2024-01-16 14:20:00'), (3, 'Bob Johnson', 'bob@example.com', 0, 1, '2024-01-17 08:15:00', '2024-01-17 08:15:00'); INSERT INTO orders (id, user_id, total, is_paid, order_date) VALUES (1, 1, 149.99, 1, '2024-01-18 09:30:00'), (2, 1, 299.99, 0, '2024-01-19 15:45:00'), (3, 2, 79.99, 1, '2024-01-20 11:20:00');
Common MySQL Use Cases
π§ͺ Local Development
Seed your local MySQL database with realistic test data. Perfect for developing and testing features without production data.
π¨ Demo Applications
Generate realistic data for client demos and presentations. Show off your application with proper datetime and boolean values.
β‘ Performance Testing
Test MySQL query performance with large datasets. Generate millions of rows to test indexing, joins, and optimization.
π Migration Testing
Test database migrations with realistic data. Ensure your schema changes work correctly before deploying to production.
How to Generate MySQL Mock Data
- 1.Import Your Schema: Paste your MySQL CREATE TABLE statement into MockBlast. We'll parse all MySQL-specific types automatically.
- 2.Configure Data Types: MockBlast automatically infers types from column names and SQL types. Adjust as needed for datetime, boolean, or enum columns.
- 3.Set Row Count: Choose how many rows to generate. MockBlast handles everything from 10 rows to 1 million+.
- 4.Download SQL: Get MySQL-compatible bulk INSERT statements ready to run. Copy and paste directly into MySQL Workbench or your migration scripts.
Related Resources
Foreign Keys & Referential Integrity
Learn how to generate MySQL mock data with foreign key relationships and maintain referential integrity across InnoDB tables.
How to Generate MySQL Seed Data
Step-by-step guide to generating realistic MySQL seed data with proper datetime formatting, boolean handling, and foreign keys.
PostgreSQL Mock Data Generator
Generate production-ready PostgreSQL mock data with full support for JSONB, UUID, arrays, and Postgres-specific types.
Bcrypt Password Hashes for SQL
Generate secure bcrypt password hashes for MySQL and other SQL databases. Perfect for seeding user authentication data.
Frequently Asked Questions
- Does MockBlast support MySQL datetime formats?
- Yes! MockBlast generates MySQL-compatible datetime values in the correct format (YYYY-MM-DD HH:MM:SS). No more invalid datetime errors when importing seed data.
- How does MockBlast handle MySQL boolean columns?
- MockBlast generates TINYINT(1) values (0 or 1) for boolean columns, which is MySQL's standard. It also supports BIT(1) if your schema uses that type.
- Can I generate MySQL bulk INSERT statements?
- Absolutely! MockBlast generates optimized bulk INSERT statements that MySQL accepts. You can insert thousands of rows with a single query for faster imports.
- Does MockBlast support MySQL AUTO_INCREMENT?
- Yes! MockBlast understands AUTO_INCREMENT columns and generates sequential IDs that match MySQL's behavior. It also maintains referential integrity with foreign keys.
- Can I import existing MySQL CREATE TABLE statements?
- Yes! MockBlast's SQL parser understands MySQL syntax including AUTO_INCREMENT, TINYINT, DATETIME, TIMESTAMP, and all MySQL-specific types.