data-async-iterators
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1.4.6 • Public • Published

Async Iterator

Batteries-included utility functions to work with async iterables as available in ES2018/TypeScript

Installation

npm install --save data-async-iterators

Tips & Tricks

  • Iterators as lazy/pull-based
    • They only calculate the next value when it is requested; thus only calculating the values that are needed
  • Some methods require buffering values: be careful when mixing them with slow consumers
  • Iterators need consumers: since transformations are lazy, not consuming (subscribing) to an iterator means nothing happens
  • When manually using an iterator (calling next()), one should be careful to call return() on iterators that provide it as well, when the iterator is not needed anymore before it has ended, to allow it to free any resources it might be holding
  • Most operators return iterables. If provided with iterables as well, they can be iterated multiple times (instead of just once). Other iterators return iterators: these can only be iterated once
  • Most operators in this library accept AsyncIterableLike<T> instead of AsyncIterable<T>. This means certain rules apply:
    • Iterable<T>'s are transformed to AsyncIterable<T>'s;
    • Iterator<T>'s and AsyncIetrator<T>'s are transformed to AsyncIterable<T>'s that always return the same, original iterator;
    • Promise<AsyncIterableLike<T>>'s are converted to AsyncIterable<T>, waiting for the promise before using the resolved iterable;
    • The operator fromPromise<T>( promise : Promise<T> ) returns an AsyncIterable<T> that only ever emits one value or one exception, whatever is resolved by the promise;

Usage

Contains all the common utility functions like map, filter, takeWhile, flatMap, concat, and many more as well as more async-centric ones like flatMapConcurrent, debounce, throttle, buffered, etc...

import { from, delay, map, flatMapConcurrent } from 'data-async-iterators';

// Create an asynchonous iterable stream
const source = delay( from( [ 1, 2, 3, 4 ] ), 1000 );

// A closure that takes a number and slowly returns the number and it's square
const mapper = number => delay( from( [ number, number * number ] ), 4000 );

// Run mapper concurrently only twice
const flatMapConcurrent( source, mapper, 2 );

// And finally consume the values (returns a promise notifying when the iterator ends)
forEach( source, res => console.log( res ) );

Or maybe a more pratical example

import { merge, map, forEach } from 'data-async-iterators';

function findDevices () : AsyncIterable<Device> { /* ... */ };

function connectDevice ( device : Device ) : AsyncIterable<DeviceStatus> { /* ... */ };

function processStatus ( status : DeviceStatus ) : Promise<void> { /* ... */ };

// Gets an async iterable of devices found
const devices : AsyncIterable<Device> = findDevices();

// For each iterable calls the connectDevice that returns an iterable documenting the statuses changes of each device
const statuses : AsyncIterable<DeviceStatus> = merge( map( devices, connectDevice ) );

// Consumes all 
forEach( statuses, processStatus );

Sometimes chaining functions in this way is not very readable, and therefore this package provides a utility class called AsyncStream that is a simple wraper around an iterable with all the operators as methods.

import { AsyncStream } from 'data-async-iterators';

const stream = AsyncStream.range( 1, 10 )
    // Delay each number by 100 milliseconds
    .delay( 100 )
    // Double each number
    .map( v => v * 2 )
    // For each n number, generate n repetitions
    .flatMap( v => AsyncStream.repeat( v, v ) )
    // Ignore the first and last ten numbers
    .slice( 10, -10 );

// Since AsyncStream is a regular iterable, we can
for await ( let number of stream ) {
    console.log( number );
}

// Or
stream.forEach( number => console.log( number ) );

// To convert any regular AsyncIterable (or promises, regular iterables, arrays, etc...)
// into an AsyncStream just do:
const stream = new AsyncStream( iterable );

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Install

npm i data-async-iterators

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Version

1.4.6

License

ISC

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Collaborators

  • pedromsilva