SQL to JSON Converter

🔄 Powerful SQL to JSON converter with support for large files and multiple output formats. Converts SQL database dumps to structured JSON files.

✨ Key Features

• 🚀 Large file processing: Stream processing for SQL files up to GB size
• 📁 Multiple output modes:
  • Separate files: Each table becomes a separate JSON file (default)
  • Combined file: All tables in one JSON file
• 💾 Smart output: Automatically creates json-output directory with summary file
• ⚡ High performance: Batch processing and memory optimization
• 🛡️ Error resilient: Skip unparsable statements and continue processing
• 📊 Progress tracking: Real-time progress and memory usage
• 🎯 CLI & Library: Can be used as both CLI tool and JavaScript library

📦 Installation

Use with npx (recommended)

npx sql-to-json-converter database.sql

Global installation

npm install -g sql-to-json-converter
sql-to-json database.sql

Local installation

npm install sql-to-json-converter

🚀 CLI Usage

Separate files mode (default)

# Export each table as separate file in json-output/ directory
npx sql-to-json-converter database.sql

# Specify different output directory
npx sql-to-json-converter database.sql --output-dir my-tables

# With additional options
npx sql-to-json-converter database.sql --memory --batch-size 1000

Combined file mode

# Export everything to a single JSON file
npx sql-to-json-converter database.sql --combined --output result.json

# Export to stdout
npx sql-to-json-converter database.sql --combined

Advanced options

# Process large files with memory monitoring
npx sql-to-json-converter large-db.sql --memory --limit 100000

# Skip unparsable statements (faster processing)
npx sql-to-json-converter database.sql --skip-unparsable

# Custom batch size for performance tuning
npx sql-to-json-converter database.sql --batch-size 2000

📚 Library Usage

Basic usage

const { convertSQLToJSONFiles, convertSQLToJSON } = require('sql-to-json-converter');

// Read SQL file and convert to separate files
const sqlContent = fs.readFileSync('database.sql', 'utf8');
const result = convertSQLToJSONFiles(sqlContent, 'output-folder');
console.log(`Converted ${result.metadata.totalTables} tables`);

// Or convert to combined JSON
const combined = convertSQLToJSON(sqlContent);
console.log(combined.tables);

Advanced usage

const { SQLToJSONConverter } = require('sql-to-json-converter');

const converter = new SQLToJSONConverter({
  batchSize: 1000,
  showMemory: true,
  outputMode: 'separate',
  outputDir: 'my-json-data'
});

// Process large file with streaming
converter.processLargeSQL('huge-database.sql').then(() => {
  console.log('Conversion completed!');
});

API Reference

// High-level functions
convertSQLToJSON(content, options)           // -> Combined JSON object
convertSQLToJSONFiles(content, outputDir)    // -> Separate files + summary  
processLargeSQLFile(inputFile, outputFile)   // -> Stream processing

// Advanced usage
createConverter(options)                     // -> SQLToJSONConverter instance

📝 Output Examples

Input SQL

CREATE TABLE users (
    id INT PRIMARY KEY AUTO_INCREMENT,
    name VARCHAR(255) NOT NULL,
    email VARCHAR(255) UNIQUE
);

INSERT INTO users VALUES (1, 'John Doe', 'john@example.com');
INSERT INTO users VALUES (2, 'Jane Smith', 'jane@example.com');

CREATE TABLE products (
    id INT PRIMARY KEY,
    name VARCHAR(100),
    price DECIMAL(10,2)
);

INSERT INTO products VALUES (1, 'Laptop', 999.99);
INSERT INTO products VALUES (2, 'Mouse', 25.50);

Separate Files Output (default)

json-output/
├── _summary.json       # Overview of all tables
├── users.json          # User table data
└── products.json       # Product table data

users.json:

{
  "tableName": "users",
  "columns": [
    {"name": "id", "type": "INT PRIMARY KEY AUTO_INCREMENT"},
    {"name": "name", "type": "VARCHAR(255) NOT NULL"},
    {"name": "email", "type": "VARCHAR(255) UNIQUE"}
  ],
  "recordCount": 2,
  "generatedAt": "2024-01-20T10:30:00.000Z",
  "data": [
    {"id": 1, "name": "John Doe", "email": "john@example.com"},
    {"id": 2, "name": "Jane Smith", "email": "jane@example.com"}
  ]
}

_summary.json:

{
  "generatedAt": "2024-01-20T10:30:00.000Z",
  "totalTables": 2,
  "totalRecords": 4,
  "tables": [
    {"name": "users", "recordCount": 2, "fileName": "users.json"},
    {"name": "products", "recordCount": 2, "fileName": "products.json"}
  ]
}

🎯 CLI Options

Option	Description	Default
--help, -h	Show help
--version, -v	Show version
--separate	Export separate files (default)	✅
--combined	Export combined file
--output [file]	Output file for combined mode
--output-dir [dir]	Output directory for separate mode	json-output
--memory, -m	Show memory usage
--batch-size [num]	Batch size for processing	500
--limit [num]	Limit number of statements
--skip-unparsable	Skip unparsable statements

🚀 Performance

File Size Guidelines

• < 10MB: In-memory processing
• > 10MB: Automatic stream processing
• > 100MB: Recommended to use --memory flag
• > 1GB: Recommended to increase --batch-size to 2000+

Memory Optimization

# For very large files (> 1GB)
npx sql-to-json-converter huge-db.sql \
  --memory \
  --batch-size 5000 \
  --skip-unparsable \
  --output-dir large-output

📊 Supported SQL Statements

Statement	Support	Description
CREATE TABLE	✅ Full	Table structure, columns, constraints
INSERT INTO	✅ Full	Single and multiple value sets
VALUES	✅ Full	Quoted strings, numbers, NULL
DROP TABLE	✅ Skip	Ignored during processing
Comments	✅ Full	-- line comments
Transactions	✅ Basic	START TRANSACTION, COMMIT

🛠 Development

Setup

git clone <repo-url>
cd sql-to-json-converter
npm install

Testing

# Create test SQL file
echo "CREATE TABLE test (id INT); INSERT INTO test VALUES (1);" > test.sql

# Test CLI
npm start test.sql

# Test library
node -e "
const {convertSQLToJSONFiles} = require('./index');
const fs = require('fs');
const sql = fs.readFileSync('test.sql', 'utf8');
console.log(convertSQLToJSONFiles(sql));
"

Publishing

# Update version
npm version patch|minor|major

# Publish to npm
npm publish

⚙️ Configuration Options

const options = {
  batchSize: 1000,        // Processing batch size
  showMemory: true,       // Show memory usage
  limit: 50000,          // Max statements to process
  skipUnparsable: true,   // Skip invalid statements
  outputMode: 'separate', // 'separate' or 'combined'
  outputDir: 'my-output'  // Output directory name
};

🐛 Troubleshooting

Common Issues

1. Memory errors with large files

# Reduce batch size and enable memory monitoring
npx sql-to-json-converter large-file.sql --batch-size 200 --memory

2. Unparsable statements

# Skip invalid statements
npx sql-to-json-converter problematic.sql --skip-unparsable

3. Too slow with very large files

# Increase batch size and skip unparsable
npx sql-to-json-converter huge.sql --batch-size 2000 --skip-unparsable

📄 License

MIT License

🤝 Contributing

1. Fork the repository
2. Create feature branch (git checkout -b feature/amazing-feature)
3. Commit changes (git commit -m 'Add amazing feature')
4. Push to branch (git push origin feature/amazing-feature)
5. Open Pull Request

📞 Support

• 🐛 Bug reports: GitHub Issues
• 📧 Email: thangdevalone@gmail.com