queue-promised v0.0.30

queue-promised

Library for rate limiting function executions.

You get promise to function that can be executed later, if there are no free workers right now.

Table of contents

• Installation
• FAQ * What are workers?
• Usage Wrapper example Advanced example * Structured advanced example
• Design decision Workers initialization Task execution * API docs
• Authors

Installation

yarn add queue-promised

FAQ

What are workers?

Worker is just a function that is being called as one of the "threads".

This library does not provide any additional multithreading for javascript.

Usage

Wrapper example

This is the main way this library is intended to be used, just for wrapping function you want to rate limit.

const _ = require("lodash");

const queuePromise = require("queue-promised");

const wrapper = queuePromise.wrapper;

const limitedFunction = wrapper((time) => {
	// This is worker functions. It can either return data or Promise
	return new Promise(resolve => {
		setTimeout(() => {
			resolve(time);
		}, time);
	});
}, 100);

// Generate params for 1000 tasks
const times = _.times(1000, () => Math.random() * 2000);

// Run tasks
times.forEach(time => {
	// Run function limitedFunction with time as param
	limitedFunction(time).then(data => {
		console.log(data);
	}).catch((e) => {
		console.error(e.toString());
	});
});

For more info on wrapper function, feel free to read API docs.

Advanced example

If you wish to go a little deeper and to create your own rate limiting logic, this is the way to do it.

For even more details, feel free to read ./src/wrapper/index.js.

const _ = require("lodash");

const queuePromise = require("queue-promised");

const queue = queuePromise.queue;
const worker = queuePromise.worker;

const limitedFunction = (time) => {
	// This is worker functions. It can either return data or Promise
	return new Promise(resolve => {
		setTimeout(() => {
			resolve(time);
		}, time);
	});
};

// Add that function to worker queue 100 times
_.times(100, () => worker("sleeper", limitedFunction));

// Generate params for 1000 tasks
const times = _.times(1000, () => Math.random() * 2000);

// Run tasks
times.forEach(time => {
	// Run function limitedFunction with time as param
	queue.push("sleeper", time).then(data => {
		console.log(data);
	}).catch((e) => {
		console.error(e.toString());
	});
});

Structured advanced example

const queuePromise = require("queue-promised");

const queue = queuePromise.queue;
const worker = queuePromise.worker;

const tester = {
	start: () => {
		// Generate params for tasks
		const times = _.times(1000, () => Math.random() * 2000);

		// Run tasks
		times.forEach(time => {
			queue.push("sleeper", time).then(data => {
				console.log(data);
			}).catch((e) => {
				console.error(e.toString());
			});
		});
	},
	startWorkers: () => {
		// Generate workers
		_.times(100, (id) => worker("sleeper", (time) => {
			// This is worker functions. It can either return data or Promise
			return new Promise(resolve => {
				setTimeout(() => {
					resolve("worker" + id + " - " + time);
				}, time);
			});
		}));
	}
};

// Allocate workers
tester.startWorkers();

// Run tasks
tester.start();

Design decision

Workers initialization

Idea behind task initialization is to register functions to specific queue.

In example, for each worker, I created new function, this is to demonstrate you can for example have multiple different handling functions that send tasks to different external task handler.

Task execution

Task execution is done in first come - first serve manner. When function returns result, it is added to queue of workers.

API docs

You can read API docs.

Authors

• nemanjan00