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require(esm) Backported to Node.js 20, Paving the Way for ESM-Only Packages
require(esm) backported to Node.js 20, easing the transition to ESM-only packages and reducing complexity for developers as Node 18 nears end-of-life.
A small library to allow you easy access to an async array-map that uses a user-defined amount of workers instead of doing all jobs in sequence or parallel. This is e.g. usefull when fetching huge amounts of web requests and optimising for both time perfo
A small library to allow you easy access to an async array-map that uses a user-defined amount of workers instead of doing all jobs in sequence or parallel. This is e.g. usefull when fetching huge amounts of web requests and optimising for both time performance and not ddos-ing your target.
Request a bunch of Websites
const nparallel = require('n-parallel');
const pages = await nparallel(
// Input data
['website1.com', 'website2.com', 'website3.con'],
// The Map-Function is identical to the default <array>.map
async(url, idx, array) => await fetch(url),
// Number of Workers
2,
);
By-default we also expand the Array prototype
require('n-parallel');
const pages = ['website1.com', 'website2.com', 'website3.con'].nmap(
// The Map-Function is identical to the default <array>.map
async(url, idx, array) => await fetch(url),
// Number of Workers
2,
)
data
- An array of input data to map.mapFunc
- An async function used to map a single data
-Element to a single output data object.numWorkers
- An integer describing how many workers should work on mapping.nparallel returns a Promise that resolves to the objects created by the mapFunc
.
npm install miniget
Tests are written with mocha
npm test
FAQs
A small library to allow you easy access to an async array-map that uses a user-defined amount of workers instead of doing all jobs in sequence or parallel. This is e.g. usefull when fetching huge amounts of web requests and optimising for both time perfo
The npm package n-parallel receives a total of 1 weekly downloads. As such, n-parallel popularity was classified as not popular.
We found that n-parallel demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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