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atlas-parallel

v1.0.1

Published

Run async functions in parallel with an onDone callback.

Downloads

16

Readme

atlas-parallel

Run async functions in parallel with an onDone callback.

Travis


install

npm install --save atlas-parallel

why

For a lot of applications, all I need is a simple parallel function runner and I don't wanna import something like async or q, because I rarely use any of the other functions. This package is literally just a parallel runner and nothing else. In other words, it will run N async functions in (roughly) the time it takes to run the one with the highest latency.

examples

Usage is pretty simple -- just pass in a collection of jobs (which each take a done callback) and an allDone callback. The allDone callback is called after each of the done callbacks have been called.

dictionary of jobs

You can pass in a hash of name -> job pairs and the end result will be a hash of name -> err pairs and/or a hash of name -> result pairs:

const parallel = require("atlas-parallel");
const jobs = {
  sendEmail: done => {
    email.send("[email protected]", "hello", err => {
      err ? done(err) : done(null, "success")
    })
  },
  postPic: done => reddit.post("atlassubbed.png", "mildlyinteresting", err => {
    err ? done(err) : done(null, "success")
  })
}
parallel(jobs, (errs, res) => {
  // all done!
  // errs === {sendEmail: null, postPic: null}
  // res === {sendEmail: "success", postPic: "success"}
})

array of jobs

If you don't care that much about return values, it is much more concise to use an array of jobs:

...
parallel([
  done => email.send("[email protected]", "hello", done),
  done => reddit.post("atlassubbed.png", "mildlyinteresting", done)
], errs => {
  // all done!
  // errs === [] on success
  // errs === [err2] if job2 fails
  // errs === [err1, err2] if both fail
})

caveats

If you need to keep track of specific errors and return values, use a dictionary of jobs instead of an array. If you forget to call done on one of your jobs, your allDone callback will never be called. I haven't implemented any timeout feature -- this could easily be implemented externally and is outside the scope of this package.