YAML to SQL Converter

Translating Hierarchical YAML Documents to Relational Databases

YAML is an intuitive, human-readable format commonly used in microservice configurations, application seeds, and API payload definitions. However, importing YAML datasets into relational SQL databases requires transforming hierarchical key-value trees into structured tables with strict column types, primary key identifiers, and foreign key references.

Relational Schema Strategies for Nested Data

CREATE TABLE users (...);
CREATE TABLE user_items (
  users_id INT,
  FOREIGN KEY (users_id)
    REFERENCES users (id)
);

CREATE TABLE users (
  id INT PRIMARY KEY,
  name VARCHAR(255),
  address_city VARCHAR(255)
);

CREATE TABLE users (
  id INT PRIMARY KEY,
  name VARCHAR(255),
  payload JSONB
);

Dialect-Aware DDL & Data Type Mapping

Different SQL databases enforce subtle syntax differences:

• PostgreSQL / CockroachDB: Uses double-quote identifiers ("table_name"), BOOLEAN, SERIAL, and native JSONB.
• MySQL / MariaDB: Uses backtick identifiers (`table_name`), AUTO_INCREMENT, and JSON.
• SQLite: Uses PRIMARY KEY AUTOINCREMENT and integer booleans (1 or 0).
• SQL Server: Uses bracket identifiers ([table_name]) and IF OBJECT_ID(...) DROP TABLE statements.

Privacy & Web Worker Performance Guarantees

All schema parsing, data type inference, and SQL formatting execute 100% locally inside your browser context. For large multi-megabyte YAML files, processing is offloaded to background Web Workers, maintaining a responsive UI without browser locking.