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The 'queue' npm package is a fast, robust, and extensible queue implementation for managing a list of tasks in a sequential manner. It allows for asynchronous task processing, concurrency control, timeout for tasks, and pausing/resuming the queue. This package is particularly useful for rate-limiting tasks or operations that need to be executed in order but might have asynchronous results, such as API calls, file processing, or any task that requires throttling.
Basic Queue Functionality
This demonstrates how to create a basic queue, add tasks to it, and start processing. Each task is a function that accepts a callback, which must be called upon completion.
const queue = require('queue');
const q = queue();
q.push(function(cb) {
console.log('Hello');
cb();
});
q.push(function(cb) {
console.log('World');
cb();
});
q.start(function(err) {
console.log('All tasks finished.');
});
Concurrency Control
This example shows how to set a concurrency limit, allowing up to 2 tasks to be processed simultaneously.
const q = queue({concurrency: 2});
// Add tasks to q
q.start(function(err) {
console.log('All tasks processed with a maximum of 2 tasks concurrently.');
});
Timeout for Tasks
This code sets a timeout for each task in the queue. If a task does not call its callback within the specified timeout, the queue will move on to the next task.
const q = queue();
q.timeout = 1000; // 1 second timeout for each task
q.push(function(cb) {
setTimeout(function() {
console.log('This task will timeout');
cb();
}, 1500); // This task takes longer than the timeout
});
q.start();
The 'async' package provides a wide array of functionalities for working with asynchronous JavaScript, including queue management. Compared to 'queue', 'async' offers more comprehensive control over asynchronous flow control but might be more complex for simple queue needs.
Bull is a Redis-backed queue package for handling distributed jobs and messages in Node.js. It's more suited for scenarios requiring robustness, such as background processing or job scheduling, and offers features like prioritization, repeatable jobs, and event listeners. It's more complex and feature-rich compared to 'queue', which is simpler and doesn't require Redis.
p-queue is a promise-based queue with concurrency control, similar to 'queue' but leveraging Promises for task handling. It provides an easy-to-use API for managing asynchronous tasks with more modern JavaScript syntax. It's a good alternative if you prefer working with Promises over callbacks.
____ __ _____ __ _____
/ __ `/ / / / _ \/ / / / _ \
/ /_/ / /_/ / __/ /_/ / __/
\__, /\__,_/\___/\__,_/\___/
/_/
Asynchronous function queue with adjustable concurrency.
This module exports a class Queue
that implements most of the Array
API. Pass async functions (ones that accept a callback or return a promise) to an instance's additive array methods. Processing begins when you call q.start()
.
npm run example
var queue = require('../')
var q = queue()
var results = []
// add jobs using the familiar Array API
q.push(function (cb) {
results.push('two')
cb()
})
q.push(
function (cb) {
results.push('four')
cb()
},
function (cb) {
results.push('five')
cb()
}
)
// jobs can accept a callback or return a promise
q.push(function () {
return new Promise(function (resolve, reject) {
results.push('one')
resolve()
})
})
q.unshift(function (cb) {
results.push('one')
cb()
})
q.splice(2, 0, function (cb) {
results.push('three')
cb()
})
// use the timeout feature to deal with jobs that
// take too long or forget to execute a callback
q.timeout = 100
q.on('timeout', function (next, job) {
console.log('job timed out:', job.toString().replace(/\n/g, ''))
next()
})
q.push(function (cb) {
setTimeout(function () {
console.log('slow job finished')
cb()
}, 200)
})
q.push(function (cb) {
console.log('forgot to execute callback')
})
// get notified when jobs complete
q.on('success', function (result, job) {
console.log('job finished processing:', job.toString().replace(/\n/g, ''))
})
// begin processing, get notified on end / failure
q.start(function (err) {
if (err) throw err
console.log('all done:', results)
})
npm install queue
npm test
npm run test-browser
var q = queue([opts])
Constructor. opts
may contain inital values for:
q.concurrency
q.timeout
q.autostart
q.results
q.start([cb])
cb, if passed, will be called when the queue empties or when an error occurs.
q.stop()
Stops the queue. can be resumed with q.start()
.
q.end([err])
Stop and empty the queue immediately.
Array
Mozilla has docs on how these methods work here. Note that slice
does not copy the queue.
q.push(element1, ..., elementN)
q.unshift(element1, ..., elementN)
q.splice(index , howMany[, element1[, ...[, elementN]]])
q.pop()
q.shift()
q.slice(begin[, end])
q.reverse()
q.indexOf(searchElement[, fromIndex])
q.lastIndexOf(searchElement[, fromIndex])
q.concurrency
Max number of jobs the queue should process concurrently, defaults to Infinity
.
q.timeout
Milliseconds to wait for a job to execute its callback.
q.autostart
Ensures the queue is always running if jobs are available. Useful in situations where you are using a queue only for concurrency control.
q.results
An array to set job callback arguments on.
q.length
Jobs pending + jobs to process (readonly).
q.emit('success', result, job)
After a job executes its callback.
q.emit('error', err, job)
After a job passes an error to its callback.
q.emit('timeout', continue, job)
After q.timeout
milliseconds have elapsed and a job has not executed its callback.
q.emit('end'[, err])
After all jobs have been processed
The latest stable release is published to npm. Abbreviated changelog below:
Infinity
q.start()
to accept an optional callback executed on q.emit('end')
Copyright © 2014 Jesse Tane jesse.tane@gmail.com
This work is free. You can redistribute it and/or modify it under the terms of the MIT License. See LICENSE for full details.
FAQs
asynchronous function queue with adjustable concurrency
We found that queue 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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