Memory Management & Performance

Memory Management & Performance Overview

Dart provides robust memory management and performance optimization capabilities. The garbage collector automatically handles memory allocation/reclamation, while const objects and compile-time constants optimize memory usage. Performance profiling tools help identify bottlenecks, and benchmarking techniques enable measurable optimizations. These features are essential for building high-performance Dart applications.

Key Concepts and Techniques

1. Garbage Collection in Dart

  • Automatic memory management system
  • Generational garbage collector (young/old space)
  • Isolate-specific heaps with no shared memory

2. Const Objects and Compile-Time Constants

  • Immutable values determined at compile-time
  • Memory efficiency through object reuse
  • Best practices for const constructors

3. Performance Profiling Basics

  • CPU and memory profiling with DevTools
  • Identifying expensive widget rebuilds
  • Memory leak detection techniques

4. Benchmarking and Optimization Tips

  • Measuring execution time with Stopwatch
  • Microbenchmarking with benchmark_harness
  • Optimization golden rules

5. Memory Leak Prevention

  • Common leak patterns in Dart
  • Using WeakReferences and Expando
  • Event listener management