Reactive Programming
Table of Contents
Overview
Build responsive applications using reactive streams and observables for handling asynchronous data flows.
When to Use
- Complex async data flows
- Real-time data updates
- Event-driven architectures
- UI state management
- WebSocket/SSE handling
- Combining multiple data sources
Quick Start
Minimal working example:
import {
Observable,
Subject,
BehaviorSubject,
fromEvent,
interval,
} from "rxjs";
import {
map,
filter,
debounceTime,
distinctUntilChanged,
switchMap,
} from "rxjs/operators";
// Create observable from array
const numbers$ = new Observable<number>((subscriber) => {
subscriber.next(1);
subscriber.next(2);
subscriber.next(3);
subscriber.complete();
});
numbers$.subscribe({
next: (value) => console.log(value),
// ... (see reference guides for full implementation)Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| RxJS Basics | RxJS Basics |
| Search with Debounce | Search with Debounce |
| State Management | State Management |
| WebSocket with Reconnection | WebSocket with Reconnection |
| Combining Multiple Streams | Combining Multiple Streams |
| Backpressure Handling | Backpressure Handling |
| Custom Operators | Custom Operators |
Best Practices
✅ DO
- Unsubscribe to prevent memory leaks
- Use operators to transform data
- Handle errors properly
- Use shareReplay for expensive operations
- Combine streams when needed
- Test reactive code
❌ DON'T
- Subscribe multiple times to same observable
- Forget to unsubscribe
- Use nested subscriptions
- Ignore error handling
- Make observables stateful