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

thread-workers

v0.0.3

Published

A simple wrapper for threading in node

Downloads

3

Readme

Thread Workers

Thread workers is a simple, easy-to-use lib which allows you to run CPU-intensive tasks in threads, and communicate between these threads and the main thread.

run

Import run from the package as follows:

import { run } from 'thread-workers';

Then, to run a task in a thread, call run with a function.

const one = await run(() => 1);

Make sure that the function you passed in contains no reference to outside scopes. For example, this would not work:

const one = 1;
const two = await run(() => one + 1);

But this would:

const two = await run(() => {
    const one = 1;
    return one + 1;
})

spawn

Import spawn from the package as follows:

import { spawn } from 'thread-workers';

Now, spawn is a slightly lower-level implementation. It's best you use it when you want your threads to last long, and is made to communicate between the main thread and the spawned thread.

spawn works by letting you receive messages between threads using events. Take the following as an example:

const thrd = spawn<{
    toLog: [ string ]
}, {}, void>(async comms => {
    const [ msg ] = await comms.waitFor('toLog');
    console.log(msg);
});

thrd.once('ready', () => {
    thrd.send('toLog', 'Hello world!'); // Hello world!
});

Or sending messages back to the main thread:

const thrd = spawn<{}, {
    helloMainThread: [ string ]
}, void>(async comms => {
    comms.send('helloMainThread', 'How are you?');
});

thrd.on('helloMainThread', msg => {
    console.log('The worker thread said the following:', msg);
})

If you want to get the return value using spawn, you'll need to use the done event.

which to use

For simpler things, like calculating something CPU-intensive, run is usually a bit more convenient. Here's how to sum numbers with run:

const sum = await run((comms, toSum: number[]) => {
    return toSum.reduce((acc, cur) => acc + cur);
}, [ 1, 2, 3, 4 ]);

While here's how to sum numbers using spawn:

const thrd = spawn(async (comms, toSum: number[]) => {
    return toSum.reduce((acc, cur) => acc + cur);
}, [ 1, 2, 3, 4 ]);
const [ sum ] = await thrd.waitFor('done');