TFT

Convert YAML to SQL INSERT Statements

Generate SQL INSERT queries from YAML data lists. This free tool creates ready-to-run SQL for populating database tables, with support for multiple SQL dialects.

YAML to SQL INSERT

Convert YAML data to SQL INSERT statements

How YAML to SQL INSERT Conversion Works

YAML to SQL INSERT conversion transforms YAML data arrays into SQL INSERT statements. Each YAML object becomes an INSERT row, with keys mapping to column names and values properly quoted and escaped.

This tool handles SQL-specific requirements: string values are quoted, special characters are escaped, NULL values are handled correctly, and batch options allow multiple rows per statement for efficiency.

Here's the process:

  1. YAML array is parsed for data rows
  2. Column names extracted from object keys
  3. Values are escaped for SQL safety
  4. INSERT statements are generated

Example conversion:

YAML Input:
- name: John
  age: 30
- name: Jane
  age: 25

SQL Output:
INSERT INTO users (name, age) VALUES
('John', 30),
('Jane', 25);

When You'd Actually Use This

Database seeding

Populate databases with initial data. Convert YAML seed data to SQL INSERT statements for database initialization scripts.

Test data generation

Create test database fixtures. Generate SQL INSERT statements from YAML test data for automated testing and development environments.

Data migration

Migrate data between databases. Export to YAML, transform as needed, convert to SQL INSERT for importing into target database.

Backup restoration

Restore data from YAML backups. Convert backed-up YAML data to SQL INSERT statements for database restoration procedures.

Content deployment

Deploy content to production databases. Manage content in YAML (version control friendly), convert to SQL for production deployment.

Batch data imports

Import data in batches. Generate optimized INSERT statements with multiple values per statement for faster database loading.

What to Know About SQL Generation

SQL dialect matters. Different databases (MySQL, PostgreSQL, SQLite) have slight syntax variations. Choose the appropriate dialect for your target database.

Values are properly escaped. String values are quoted, single quotes are escaped, NULL values handled correctly. SQL injection safe for data values.

Table name is required. Specify the target table name for INSERT statements. The tool doesn't infer table names from YAML.

Batch size affects performance. Multiple rows per INSERT statement is faster than individual statements. Configure batch size based on your needs.

Pro tip: Always review generated SQL before running on production databases. Test on a development database first to verify correct behavior.

Common Questions

Which databases are supported?

MySQL, PostgreSQL, SQLite, SQL Server, and more. Basic INSERT syntax is standard, but dialect options handle database-specific features.

How are NULL values handled?

YAML null values become SQL NULL (unquoted). Empty strings remain as empty strings (''). The distinction is preserved correctly.

Can I batch multiple rows?

Yes. Configure rows per INSERT statement. Batching (e.g., 100 rows per statement) is much faster than individual INSERT statements.

Are special characters escaped?

Yes. Single quotes, backslashes, and other special characters are properly escaped for SQL string literals to prevent syntax errors.

Does it handle data types?

Basic type inference: numbers unquoted, strings quoted, booleans as 1/0 or TRUE/FALSE depending on dialect, null as NULL.

Can I add ON DUPLICATE KEY?

Some dialects support upsert options. MySQL can add ON DUPLICATE KEY UPDATE, PostgreSQL supports ON CONFLICT clauses.

Is my data secure?

Yes. All conversion happens locally in your browser. Your data never leaves your computer. Safe for sensitive database content.

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