npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

p-parallel

v1.0.3

Published

Make promises run in parallel with a limit amount.

Downloads

1,197

Readme

p-parallel

npm npm GitHub license

English | 中文

Make promises run in parallel with a limit amount.

Start

npm install p-parallel --save

Usage

pParallel(functionArr, parallelLimit)

  • functionArr:Array,an array of functions those return a promise.
  • parallelLimit:Number,the max amount of running promises in parallel.

The method returns a single Promise. This promise will run all of the functions passed as functionArr in parallel asynchronously under the control of the max amount of running promises by parallelLimit. This promise fulfills when all of the promises returned by functions in functionArr have been fulfilled. It rejects with the reason of the first promise that rejects.

This method can be useful for do something in parallel with limited source, such as sending requests in parallel with a limit amount.

Different from Promise.all()

  • While Promise.all() takes an iterable of promises as an input, while pParallel() takes an array of functions those return a promise.
  • While Promise.all(promiseArr) runs all the promises in promiseArr in parallel asynchronously, pParallel(promiseArr, parallelLimit) runs under the control of the max amount of running promises by parallelLimit and in the order of FIFO.

Example

const pParallel = require('p-parallel');

function task(data, delay, success = true) {
  return new Promise((resolve, reject) => {
    setTimeout(() => {
      if (success) {
        resolve(data);
      } else {
        reject(data);
      }
    }, delay);
  });
}

function test(functionArr) {
  pParallel(functionArr, 2).then(res => console.log('success:', res), res => console.log('fail:', res));
}

function success1() {
  return task('success1', 4000);
}
function success2() {
  return task('success2', 2000);
}
function success3() {
  return task('success3', 2000);
}
function fail1() {
  return task('fail1', 2000, false);
}
function fail2() {
  return task('fail2', 4000, false);
}

// this will print 'success: success1, success2, success3' after 4000ms
test([success1, success2, success3]);
// this will print 'fail: fail1' after 2000ms
test([success1, success2, fail]);

Tips

How to catch fail?

Sometimes, we need to catch exceptions to keep all promises in functionArr done. We can use .catch.

const pParallel = require('p-parallel');

function task(data, delay, success = true) {
  return new Promise((resolve, reject) => {
    setTimeout(() => {
      if (success) {
        resolve(data);
      } else {
        reject(data)
      }
    }, delay);
  });
}

function test(functionArr) {
  pParallel(functionArr, 2).then(res => console.log('success:', res), res => console.log('fail:', res));
}

function success1() {
  return task('success1', 4000);
}
function success2() {
  return task('success2', 2000);
}
function fail1() {
  return task('fail1', 2000, false).catch(data => data);
}

// this will print 'success: success1, success2, fail1' after 4000ms
test([success1, success2, fail]);

A more elegant way to use p-parallel?

const pParallel = require('p-parallel');
// Personally, I think it's a more elegant way.
Promise.parallel = pParallel;