Performance Optimization

This guide covers performance optimization techniques and best practices for dtsx.

Import Optimization Strategies

Smart Import Tracking

// Before optimization
import { User, Role, Permission, Settings, Config } from './types';
// Only User and Role are used

// After optimization
import { User, Role } from './types';

Import Consolidation

// Before optimization
import { User } from './types';
import { Role } from './types';
import { Permission } from './types';

// After optimization
import { User, Role, Permission } from './types';

Memory Management

Large Codebase Handling

1. Incremental Processing

   interface ProcessingOptions {
     // Process files in chunks
     chunkSize: number;
     // Memory limit per chunk
     memoryLimit: number;
     // Parallel processing
     parallel: boolean;
   }

2. Memory-Efficient Type Tracking

   interface TypeTracker {
     // Track only necessary type information
     trackTypes: boolean;
     // Track type relationships
     trackRelationships: boolean;
     // Track type usage
     trackUsage: boolean;
   }

Parallel Processing

Multi-File Processing

interface ParallelProcessingConfig {
  // Number of parallel workers
  workers: number;
  // Files per worker
  filesPerWorker: number;
  // Memory limit per worker
  memoryLimit: number;
}

Worker Pool Management

interface WorkerPoolConfig {
  // Minimum workers
  minWorkers: number;
  // Maximum workers
  maxWorkers: number;
  // Worker idle timeout
  idleTimeout: number;
}

Caching Strategies

Type Cache

interface TypeCache {
  // Cache type definitions
  types: Map<string, TypeDefinition>;
  // Cache type relationships
  relationships: Map<string, Set<string>>;
  // Cache type usage
  usage: Map<string, Set<string>>;
}

Import Cache

interface ImportCache {
  // Cache import statements
  imports: Map<string, ImportStatement>;
  // Cache import usage
  usage: Map<string, Set<string>>;
  // Cache import relationships
  relationships: Map<string, Set<string>>;
}

Performance Monitoring

Metrics Collection

interface PerformanceMetrics {
  // Processing time
  processingTime: number;
  // Memory usage
  memoryUsage: number;
  // File count
  fileCount: number;
  // Type count
  typeCount: number;
}

Performance Profiling

interface ProfilingConfig {
  // Enable profiling
  enabled: boolean;
  // Profile memory usage
  memory: boolean;
  // Profile CPU usage
  cpu: boolean;
  // Profile I/O operations
  io: boolean;
}

Best Practices

1. Optimize Import Statements

   • Use type-only imports
   • Remove unused imports
   • Consolidate imports
   • Use namespace imports for large modules

2. Memory Management

   • Process files in chunks
   • Use incremental processing
   • Implement memory limits
   • Clean up unused resources

3. Parallel Processing

   • Use worker pools
   • Balance worker count
   • Monitor worker performance
   • Handle worker failures

4. Caching

   • Cache type definitions
   • Cache import statements
   • Cache type relationships
   • Implement cache invalidation

5. Monitoring

   • Track processing time
   • Monitor memory usage
   • Profile CPU usage
   • Log performance metrics