Data Converters Documentation

JSON to SQL Schema Inference, DDL & INSERT Generation

Learn how to generate relational SQL CREATE TABLE schemas and INSERT statement migrations from JSON object collections.

Converting document-oriented JSON into relational SQL requires inspecting sample records, determining optimal column data types, and synthesizing DDL.

1. Supported SQL Dialects

  • PostgreSQL: Uses SERIAL PRIMARY KEY, VARCHAR, BOOLEAN, TIMESTAMP WITH TIME ZONE, JSONB.
  • MySQL: Uses AUTO_INCREMENT, DATETIME, TEXT, JSON.
  • SQLite: Uses INTEGER PRIMARY KEY AUTOINCREMENT, TEXT, REAL.
-- Generated PostgreSQL DDL
CREATE TABLE users (
  id INT PRIMARY KEY,
  name VARCHAR(255) NOT NULL,
  email VARCHAR(255) NOT NULL,
  is_active BOOLEAN DEFAULT TRUE,
  created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW()
);

-- Generated INSERT DML INSERT INTO users (id, name, email, is_active) VALUES (1, 'Alice Smith', '[email protected]', true), (2, 'Bob Jones', '[email protected]', false);

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