performance optimization When Merging Large Arrays in JavaScript Using Spread Operator
I tried several approaches but none seem to work. I'm migrating some code and After trying multiple solutions online, I still can't figure this out. Hey everyone, I'm running into an issue that's driving me crazy. I'm working with important performance optimization when merging two large arrays using the spread operator in JavaScript. Specifically, I am trying to combine two arrays, `array1` and `array2`, each containing over 10,000 objects, and I'm noticing that the operation takes a considerable amount of time. Here's a code snippet that illustrates my approach: ```javascript const array1 = Array.from({ length: 10000 }, (_, i) => ({ id: i, value: `Value ${i}` })); const array2 = Array.from({ length: 10000 }, (_, i) => ({ id: i + 10000, value: `Value ${i + 10000}` })); const mergedArray = [...array1, ...array2]; ``` While this works fine for smaller arrays, when I scale up to larger datasets, the performance degrades significantly. I tried using `Array.concat()` as an alternative: ```javascript const mergedArrayConcat = array1.concat(array2); ``` However, I found that the performance is still not optimal. I also considered using `Array.push.apply()` but was warned against it for large arrays. Is there a more efficient way to merge large arrays in JavaScript, or any specific optimizations I could apply to improve performance? My current environment is Node.js 18.0.0. Any insights would be greatly appreciated! My development environment is Ubuntu. What's the best practice here? Has anyone else encountered this? This is my first time working with Javascript 3.11. Any help would be greatly appreciated! I'm on CentOS using the latest version of Javascript. Could someone point me to the right documentation?