funthreads

A simple library that provides an abstraction for the Node.js worker_threads module. It enables you to run your function in a separate thread. You receive a Promise that resolves with the result of your function.

Example

const { executeInThread } = require('funthreads');

// heavy operation (this will not block the main thread)
const num = await executeInThread((limit) => {
  let result = 0, i = 1;

  while (i <= limit) {
    result += i.toString().split('').reverse().join('').length;
    i++;
  }

  return result;
}, 12345678);

This example highlights the optimization of a resource-intensive calculation. By executing the function in a separate thread, we prevent the main thread from being blocked.

Surprisingly simple, isn't it?

Installation

$ npm i funthreads

All examples:

• Basic example
• Parameters for the thread task
• Async function inside the thread
• Error handling
• Use modules inside the thread

Contributing

See the contributing guide for detailed instructions on how to get started with our project.

API

executeInThread(task, ...params)

Runs the specified function in a separate thread.

Parameters

• Task (Function): The function to be executed in a thread.
  • This can also be a async function (promise).
• ...params (Any): Additional arguments to be passed to the Task function.
  • Parameter cann't be a function.

const task = function() { ... };
executeInThread(task, 'John', true, {}, ...);

The executeInThread function allows you to execute a given task function in a dedicated thread, similar to the behavior of setTimeout or setInterval. You provide the main function to be executed, along with any additional arguments (...args) that should be passed to the given function.

Returns

Promise<any>: A Promise that resolves with the return value of the callback.

Inside the provided function, you have the flexibility to return any value, including a Promise. The returned value, whether it's a standard value or a Promise, will be passed back to you as the resolved result of the Promise returned by the executeInThread function.

const number = await executeInThread(() => 123); // 123
const name = await executeInThread(() => Promise.resolve('John')); // John

Important (limitation)

Access to data outside of the task function is restricted. If you require the use of a module, it should be required within the task function. The sole method for accessing data within a task function from external sources is through the utilization of the parameters. Closures do not function in this context.

In this example, we're reading a file in a separate thread and returning the data in string format. We start by defining a task function that will run within the thread, and then we prepare the necessary parameters to be passed as inputs to that function.

const { executeInThread } = require('funthreads');

async function task(fileName) {
// Closure doesn't work here
  const { readFile } = require('fs/promises');
  const content = await readFile(__filename);
  return content.toString();
}

async function read() {
  const content = await executeInThread(task, fileName);
  console.log(content);
}

read();

There is also another option if you don't want to use require inside the function.

const { executeInThread, ThreadModules } = require('funthreads');

async function task(modules) {
  // Closure doesn't work here
  const { readFile } = modules['fs/promises'];
  const content = await readFile(__filename);
  return content.toString();
}

async function read() {
  const requiredModules = new ThreadModules('fs/promises', 'test', 'path', ...);
  const content = await executeInThread(task, requiredModules);
  console.log(content);
}

read();

The ThreadModules class lets you set up modules for the thread. You can provide it only thorough the second argument, and you'll have access to the libraries through the modules object.

You should only provide the ThreadModules type of object once through the second parameter. Attempting to provide it multiple times will result in an error. Additionally, avoid returning the modules object from the task function, as it will also lead to errors.