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Professional JSON to SQL Converter

JSON to SQL Converter - Generate SQL from JSON Data

Convert JSON to SQL instantly with support for MySQL, PostgreSQL, SQLite, and more. Generate CREATE TABLE and INSERT statements with proper data types and escaping.

5 SQL Dialects
Type Detection
Instant Convert
SQL Safe
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Initializing JSON Engine...

Preparing local environment

Powerful JSON to SQL Features

Everything you need to convert JSON data to SQL databases

Multiple SQL Dialects

Support for MySQL, PostgreSQL, SQLite, SQL Server, and Oracle

Smart Type Detection

Automatically detects appropriate SQL data types from JSON

Schema Generation

Creates complete table schemas with proper constraints

Batch Operations

Efficient batch inserts for large datasets

SQL Injection Safe

Properly escapes values to prevent SQL injection

Transaction Support

Wraps operations in transactions for data integrity

JSON to SQL Examples

See how JSON converts to different SQL dialects

-- MySQL Example
DROP TABLE IF EXISTS `users`;

CREATE TABLE `users` (
  `id` INT AUTO_INCREMENT PRIMARY KEY,
  `name` VARCHAR(100) NOT NULL,
  `email` VARCHAR(255) UNIQUE,
  `age` INT,
  `created_at` DATETIME
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;

INSERT INTO `users` (`name`, `email`, `age`, `created_at`) VALUES
  ('John Doe', 'john@example.com', 30, '2024-01-15 10:30:00'),
  ('Jane Smith', 'jane@example.com', 28, '2024-01-20 14:45:00');

How JSON to SQL Conversion Works

Simple 4-step process to transform JSON into SQL

Parse JSON

Analyzes JSON structure and data types

Detect Types

Maps JSON types to SQL data types

Generate Schema

Creates table structure with constraints

Create SQL

Produces executable SQL statements

JSON to SQL Use Cases

Real-world applications of JSON to SQL conversion

Data Migration

Convert JSON exports to SQL for database imports. Perfect for migrating data between systems.

Migrate NoSQL data to relational database

API to Database

Transform API JSON responses into database tables for analysis and reporting.

Store API data in SQL database

Backup & Restore

Convert JSON backups to SQL format for database restoration.

Restore JSON exports to SQL

Test Data Generation

Create SQL test data from JSON fixtures for development and testing.

Generate test database from JSON

Why Use Our JSON to SQL Converter?

Benefits of automated JSON to SQL conversion

Time Saving

Convert JSON to SQL in seconds instead of manual writing

Error Free

Eliminates syntax errors and type mismatches

Optimized Output

Generates efficient SQL with proper indexing

Cross-Database

Switch between SQL dialects easily

Batch Processing

Handle thousands of records efficiently

Type Safety

Automatic type detection and validation

Frequently Asked Questions
How do I convert JSON to SQL?

Simply paste your JSON data into the converter, select your target SQL dialect (MySQL, PostgreSQL, SQLite, etc.), configure any options like table name or primary key, and the tool will automatically generate the appropriate CREATE TABLE and INSERT statements for your database.

What SQL databases are supported?

Our JSON to SQL converter supports all major SQL databases including MySQL, PostgreSQL, SQLite, Microsoft SQL Server, and Oracle. Each dialect uses the appropriate syntax, data types, and features specific to that database system.

How does JSON to SQL handle nested objects?

Nested objects and arrays in JSON are converted to JSON/JSONB columns in databases that support them (PostgreSQL, MySQL 5.7+), or serialized as TEXT in others. You can also choose to flatten nested structures into separate related tables.

Can it handle large JSON files?

Yes! The converter efficiently handles large JSON datasets by using batch insert statements and transactions. It can process thousands of records and automatically optimizes the SQL output for better performance.

How are data types determined?

The converter analyzes your JSON data to automatically detect appropriate SQL types: strings become VARCHAR/TEXT, numbers become INT/DECIMAL, booleans become BOOLEAN/BIT, dates are recognized and converted to DATE/TIMESTAMP types, and complex objects become JSON columns where supported.

Is the generated SQL safe from injection?

Yes, all values are properly escaped according to the selected SQL dialect's requirements. String values are quoted and escaped, special characters are handled correctly, and the output is safe to execute directly in your database.

Can I customize the table structure?

Absolutely! You can customize the table name, choose primary key columns, specify whether to include DROP TABLE statements, enable/disable transactions, configure batch insert sizes, and add indexes or constraints as needed.

Does it support NULL values?

Yes, the converter properly handles NULL values in JSON. It detects which columns contain nulls and marks them as nullable in the schema. You can also configure whether columns should be NOT NULL by default.

Related Database Tools

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JSON to SQL Conversion Explained

JSON to SQL conversion is the process of transforming JSON (JavaScript Object Notation) data into SQL (Structured Query Language) statements that can be executed in relational databases. This conversion is essential for migrating data from NoSQL databases, APIs, or JSON files into traditional SQL databases like MySQL, PostgreSQL, or SQL Server.

Why Convert JSON to SQL?

Converting JSON to SQL enables you to leverage the power of relational databases for data that originates in JSON format. SQL databases provide ACID compliance, complex querying capabilities, joins, indexes, and mature tooling that may not be available with JSON storage. This conversion is particularly useful for data analysis, reporting, and integration with existing SQL-based systems.

JSON to SQL Best Practices

  • Choose appropriate data types based on your JSON values
  • Use transactions for data integrity during bulk inserts
  • Create indexes on frequently queried columns
  • Handle NULL values explicitly in your schema
  • Consider normalizing nested JSON into related tables
  • Use batch inserts for better performance with large datasets
  • Escape special characters to prevent SQL injection

Data Type Mapping

Our JSON to SQL converter intelligently maps JSON data types to appropriate SQL types: JSON strings become VARCHAR or TEXT, numbers map to INT or DECIMAL based on precision, booleans convert to BOOLEAN or BIT depending on the database, dates are recognized and converted to DATE or TIMESTAMP types, and complex objects can be stored as JSON/JSONB in supporting databases.