Giter VIP home page Giter VIP logo

next-with-web-workers's Introduction

Next with Web Workers

This Example Code is a Part of an Article: Optimizing Your Next.js App By Offloading Compute-Intensive Tasks from Main Thread to Web Workers


Live Url (Web Worker): Deployment
Live Url (Slugish): Deployment
Article Link: Medium

The Challenge of Single-Threaded JavaScript Execution

JavaScript executed in our browsers inherently operates on a single thread, meaning that all code execution occurs within a single main thread. While this simplicity ensures predictable behavior, it also imposes limitations. Long-running tasks, such as complex computations, can block the main thread, leading to sluggish user experiences.

Introducing Web Workers

To address this issue, JavaScript provides a solution called Web Workers. These allow us to run scripts in background threads, separate from the main thread. Web Workers are a simple means for web content to execute scripts in parallel threads without interfering with the user interface. They enable us to:

  • Execute arbitrary code.
  • Make network calls using fetch.
  • Communicate with the main thread via messages.
  • Handle caching and push notifications.
  • Access a subset of items available under the window object, such as WebSockets and IndexedDB.

Browser Support and Communication Channels

Most modern browsers, including Chrome, Safari, Firefox, and Edge, support Web Workers1. Establishing communication between the main thread and a worker thread involves using the postMessage() and onmessage methods. These allow sending and receiving messages between the two threads. Here’s a simplified example:

  // Main thread
  const worker = new Worker("./worker.js");
  worker.postMessage({ start: 0, end: 100000 });
  
  // Receiving the message back from the worker thread
  worker.onmessage = (message) => {
    console.log(message.data);
  };
  
  // Web Worker (worker.js)
  self.onmessage = (message) => {
    // Perform work (e.g., create an array)
    const arr = [];
    for (let i = message.data.start; i < message.data.end; i++) {
      arr.push(i);
    }
    // Send the result back to the main thread
    self.postMessage(arr);
  };

Benefits and Considerations

By offloading compute-intensive tasks to Web Workers, you can significantly improve the responsiveness and overall performance of your Next.js applications. Keep in mind the following considerations:

  • Browser Support: Most modern browsers support Web Workers, including Chrome, Safari, Firefox, and Edge.
  • Communication Channels: Use postMessage() and onmessage to establish communication between the main thread and the worker thread.
  • Task Selection: Identify tasks that can be parallelized and benefit from offloading to Web Workers.

Conclusion:

Remember, this approach allows you to harness the power of parallel execution without compromising the user experience. For detailed implementation examples and further insights, refer to the original article. Happy optimizing! πŸš€

Result:

1_GILFWKlIHTkIQpkspaviYQ

next-with-web-workers's People

Contributors

falidd18 avatar faraasat avatar

Stargazers

 avatar  avatar  avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    πŸ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. πŸ“ŠπŸ“ˆπŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❀️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.