How can one ensure efficient execution of heavy JavaScript tasks without causing any blocking issues?

Currently, I'm utilizing webgl to load a 3D model and running some code to manipulate it before displaying it.

The issue is that this process takes several seconds and completely restricts the user from performing any other tasks during that time. It's frustrating that even scrolling isn't possible while the operation is in progress. Although multithreading doesn't exist in JavaScript, I need to find a way to prevent the main thread from being blocked.

I attempted a technique where I loaded the model in an iframe and utilized window.postMessage along with a message event listener. However, it seems like the frame's domain operates on the same thread for its JavaScript, rendering that approach useless. Are there any alternative strategies for handling CPU-intensive code without halting the user's ability to interact?

javascriptmultithreadingthree.jswebgl

Answer №1

There is currently no simple solution to this problem

  1. Utilizing WebWorkers

    Web workers execute JavaScript in a separate thread, but their functionality is limited. They are primarily used for passing messages between threads and cannot interact with the DOM or perform complex tasks like WebGL or Canvas operations. At present, WebWorkers are mainly used for networking and exchanging data in string or typed array formats.

    If your time-consuming task can be divided into sections that can be sent back to the main thread as JSON strings or typed arrays, WebWorkers may be a suitable option.

  2. Implementing a state machine

    In JavaScript, one common approach to handling lengthy processes is breaking them down into multiple states within a loader function. This allows the function to resume its work from where it left off. An example of this technique is demonstrated in the O3D loader implementation.

  3. Exploring ES6 generators

    ES6 generators provide an easy way to create a state machine in code. Although not yet fully supported by browsers, libraries such as Google Traceur enable developers to utilize this feature. By defining a generator function and running it through Traceur, you can see how the code is transformed into a state machine, similar to the second method mentioned above.

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