Async iterators enable iteration over asynchronous data sources. Here's how to use them effectively.
Basic Async Iterator
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Async Generator Functions
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Fetching Paginated Data
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Processing Streams
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Event Stream Processing
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WebSocket Messages
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Transforming Async Iterables
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Parallel Processing
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Error Handling
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Collecting Results
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Best Practices
Use Cases:
✓ Paginated API fetching
✓ Stream processing
✓ Real-time data (WebSockets)
✓ Large dataset iteration
Patterns:
✓ Use async generators for simplicity
✓ Implement cleanup in return()
✓ Handle errors gracefully
✓ Consider backpressure
Performance:
✓ Process items as they arrive
✓ Limit concurrency for parallel ops
✓ Use batching for efficiency
✓ Clean up resources
Avoid:
✗ Loading everything into memory
✗ Ignoring error handling
✗ Forgetting to close resources
✗ Blocking the event loop
Conclusion
Async iterators provide an elegant way to handle asynchronous data streams. Use async function* to create generators that yield values asynchronously, and for await...of to consume them. They're ideal for paginated APIs, real-time data, and processing large datasets. Combine with transformation utilities for powerful data pipelines. Always handle errors and clean up resources properly.