JavaScript Array.prototype.map Performance Bottleneck in Large Data Sets
I'm updating my dependencies and I've been researching this but I've looked through the documentation and I'm still confused about Quick question that's been bugging me - I'm working on a project where I'm processing large arrays of objects, specifically around 100,000 entries, and I need to transform these objects using `Array.prototype.map()`. While the code is functioning correctly, I'm running into important performance optimization, especially in older browsers. The transformation function is relatively straightforward, but it seems to take an unacceptably long time to complete, causing UI freezes. Here’s how I’m currently using `map`: ```javascript const largeArray = Array.from({ length: 100000 }, (_, i) => ({ id: i, value: Math.random() })); const transformedArray = largeArray.map(item => ({ id: item.id, squaredValue: item.value ** 2 })); ``` I've tried optimizing the transformation function by simplifying it further, but I still face performance degradation. I also considered using a `for` loop instead of `map`, but I’m concerned that I might lose the functional programming benefits and readability. Additionally, I profiled the code using Chrome's DevTools and noticed that around 80% of the time is spent in the `map` method. Are there any best practices or alternative methods that I could employ to speed this up without drastically changing the structure of my code? I've also thought about using Web Workers to perform the mapping in the background, but I'm unsure how that would fit into my existing codebase. Any insights would be greatly appreciated! I'm working on a service that needs to handle this. Is there a better approach? Am I missing something obvious? This is my first time working with Javascript LTS. I'd be grateful for any help.