Backpressure in reactive programming

Backpressure in reactive programming

Source:- Backpressure in reactive programming

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Backpressure is a mechanism used in reactive programming to handle situations where an Observable is emitting data at a faster rate than it can be consumed. This can lead to issues such as high memory usage, slow processing, and even crashes. RxJS provides several operators for implementing backpressure, including `buffer`, `throttle`, `debounce`, `sample`, and `switchMap`.

1. buffer: The `buffer` operator collects emitted values from the source Observable into an array and emits the array when it reaches a specified size. It can be used to temporarily store emitted values until they can be processed.

Here is an example:

import { interval } from 'rxjs';
import { bufferTime } from 'rxjs/operators';

interval(100).pipe(
  bufferTime(1000)
).subscribe(
  values => console.log(values),
  err => console.error(err),
  () => console.log('Complete')
);

In this example, the `interval` Observable emits a value every 100 milliseconds. The `bufferTime` operator collects the emitted values into an array and emits the array every 1000 milliseconds.