Sterk GraphQL Performance Module for Magento 2

Overview

The Sterk GraphQL Performance module is a comprehensive solution for optimizing GraphQL performance in Magento 2. It addresses common performance bottlenecks, implements efficient data loading patterns, and provides robust caching strategies.

Features

1. Data Loading Optimization

• DataLoader pattern implementation for batch loading
• Prevention of N+1 query problems
• Efficient data retrieval for:
  • Products
  • Categories
  • Customers
  • CMS Pages/Blocks
  • Orders and Invoices
  • Brand Categories
  • Credit Memos

2. Caching Infrastructure

• Multi-level caching strategy
• Intelligent cache tag management
• Automatic cache warming
• Query-level caching
• Field-level result caching
• Cache invalidation optimization

3. Performance Monitoring

• Query execution time tracking
• Performance metrics collection
• GraphQL query complexity analysis
• Resource usage monitoring
• Performance reporting

4. Database Optimization

• Connection pooling
• Transaction management
• Batch query optimization
• Efficient resource utilization

Installation

1. Install via Composer:

composer require veysiyildiz/module-graphql-performance

2. Enable the module:

bin/magento module:enable Sterk_GraphQlPerformance
bin/magento setup:upgrade
bin/magento setup:di:compile
bin/magento cache:clean

Configuration

Admin Configuration

Navigate to Stores > Configuration > Sterk > GraphQL Performance to configure:

1. Cache Settings

   • Cache lifetime for different entities
   • Cache warming patterns
   • Cache invalidation rules

2. Performance Limits

   • Query complexity limits
   • Query depth restrictions
   • Batch size configurations

3. Monitoring Settings

   • Performance logging
   • Metric collection
   • Report generation

Cache Warming Configuration

Configure cache warming in etc/config.xml:

<config>
    <default>
        <graphql_performance>
            <cache>
                <warming_enabled>1</warming_enabled>
                <warming_interval>3600</warming_interval>
            </cache>
        </graphql_performance>
    </default>
</config>

Usage

Basic Implementation

use Sterk\GraphQlPerformance\Model\DataLoader\ProductDataLoader;

class ProductResolver implements ResolverInterface
{
    public function __construct(
        private readonly ProductDataLoader $dataLoader
    ) {}

    public function resolve(
        Field $field,
        $context,
        ResolveInfo $info,
        array $value = null,
        array $args = null
    ) {
        return $this->dataLoader->load($args['id']);
    }
}

Advanced Features

Custom DataLoader

use Sterk\GraphQlPerformance\Model\DataLoader\BatchDataLoader;

class CustomDataLoader extends BatchDataLoader
{
    protected function loadFromDatabase(array $ids): array
    {
        // Implement batch loading logic
    }

    protected function generateCacheKey(string $id): string
    {
        return "custom_entity_{$id}";
    }
}

Cache Tag Management

use Sterk\GraphQlPerformance\Model\Cache\TagManager;

class CustomResolver
{
    public function __construct(
        private readonly TagManager $tagManager
    ) {}

    public function resolve($field)
    {
        $tags = $this->tagManager->getEntityTags('custom_entity', $id);
        // Use tags for cache operations
    }
}

Performance Monitoring

Metrics Collection

The module automatically collects:

• Query execution times
• Cache hit rates
• Database query counts
• Memory usage
• Query complexity scores

Reporting

Access performance reports via:

1. GraphQL API endpoint
2. Admin dashboard
3. Command line interface

Best Practices

1. Query Optimization

• Use field selection wisely
• Implement pagination
• Leverage query batching
• Monitor query complexity

2. Caching Strategy

• Configure appropriate cache lifetimes
• Use specific cache tags
• Implement proper invalidation
• Enable cache warming

3. Resource Management

• Configure connection pooling
• Monitor memory usage
• Implement query timeouts
• Use batch processing

Troubleshooting

Common Issues

1. Cache Invalidation

Issue: Stale data after updates
Solution: Check cache tags and invalidation events

2. Performance Degradation

Issue: Slow query response
Solution: Monitor query complexity and database connections

3. Memory Usage

Issue: High memory consumption
Solution: Adjust batch sizes and connection pool settings

Contributing

We welcome contributions! Please see CONTRIBUTING.md for guidelines.

License

MIT License - see LICENSE.md for details

Support

For support, please:

1. Check documentation
2. Search existing issues
3. Create a new issue
4. Contact veysiyildiz@gmail.com

Changelog

See CHANGELOG.md for version history