Node.js Stream Processing

Streams enable efficient data processing for large datasets. Here's how to use them.

Best Practices#

Memory Management:
✓ Use streams for large data
✓ Set appropriate highWaterMark
✓ Handle backpressure properly
✓ Clean up resources on error

Error Handling:
✓ Use pipeline() over pipe()
✓ Handle errors on all streams
✓ Implement _destroy() for cleanup
✓ Use AbortController for cancellation

Performance:
✓ Use object mode sparingly
✓ Batch small writes
✓ Consider worker threads for CPU tasks
✓ Profile memory usage

Patterns:
✓ Prefer transform streams
✓ Use async iteration when possible
✓ Chain streams with pipeline
✓ Implement proper backpressure

Node.js streams enable efficient processing of large data sets. Use readable streams for data sources, writable for destinations, and transform for modifications. Handle backpressure properly, use pipeline for error handling, and leverage async iteration for cleaner code.

Node.js Stream Processing

Stream Types#

Readable Streams#

Writable Streams#

Transform Streams#

Piping Streams#

Backpressure Handling#

Async Iteration#

HTTP Streaming#

Error Handling#

Best Practices#

Conclusion#

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