Generator functions allow you to define iterative algorithms with pausable execution. Here's how to use them effectively.
Basic Generator#
Yield Expression#
Infinite Sequences#
Yield Delegation#
Generator Methods#
Lazy Evaluation#
Async Generators#
State Machine#
Coroutines Pattern#
Iterator Protocol#
Pipeline Processing#
Best Practices#
Use Cases:
✓ Lazy evaluation
✓ Infinite sequences
✓ Custom iterators
✓ State machines
Patterns:
✓ yield* for delegation
✓ for...of for consumption
✓ try/finally for cleanup
✓ Combine with async/await
Performance:
✓ Memory efficient iteration
✓ On-demand computation
✓ Process streams
✓ Handle large datasets
Avoid:
✗ When simple arrays suffice
✗ Overcomplicating logic
✗ Ignoring done state
✗ Memory leaks in infinite generators
Conclusion#
Generator functions provide powerful control over iteration and execution flow. Use them for lazy evaluation of large datasets, creating custom iterators, implementing state machines, and managing async workflows. Combined with async/await as async generators, they enable elegant handling of streaming data and paginated APIs.