Refactoring a Sorting Function in AWS Lambda - Performance Issues with Large Datasets
I've tried everything I can think of but Does anyone know how to I'm working through a tutorial and I'm following best practices but I've looked through the documentation and I'm still confused about While refactoring a sorting function for a data processing pipeline in AWS Lambda, I've run into some performance bottlenecks when handling larger datasets. The current implementation sorts an array of JSON objects based on a timestamp field, but it seems to struggle with datasets containing more than a few thousand entries. To give you a clearer picture, the initial code looks like this: ```javascript const sortByTimestamp = (data) => { return data.sort((a, b) => new Date(a.timestamp) - new Date(b.timestamp)); }; ``` This approach works fine for smaller arrays, but once we scale up to about 10,000 records, the function takes significantly longer to execute, which is a concern since this Lambda function has a timeout of 5 seconds. After profiling the code, I tried using the `Array.prototype.slice()` method to create a shallow copy of the data before sorting, thinking it might help with performance: ```javascript const optimizedSortByTimestamp = (data) => { return data.slice().sort((a, b) => new Date(a.timestamp) - new Date(b.timestamp)); }; ``` Unfortunately, this didn’t yield the improvements I was hoping for. I pondered using a more efficient sorting algorithm, so I experimented with the QuickSort algorithm, implementing it as follows: ```javascript const quickSort = (arr) => { if (arr.length <= 1) return arr; const pivot = arr[arr.length - 1]; const left = []; const right = []; for (let i = 0; i < arr.length - 1; i++) { if (new Date(arr[i].timestamp) < new Date(pivot.timestamp)) { left.push(arr[i]); } else { right.push(arr[i]); } } return [...quickSort(left), pivot, ...quickSort(right)]; }; ``` Switching to QuickSort did improve performance slightly, but the function still doesn’t meet the required execution time for larger datasets. Has anyone implemented efficient sorting algorithms in AWS Lambda with large data volumes? Are there specific libraries or methods within AWS that can help optimize sorting, or should I consider offloading this task to something like AWS Batch for batch processing? Any insights would be greatly appreciated. This is part of a larger web app I'm building. What am I doing wrong? This is part of a larger service I'm building. I'd really appreciate any guidance on this. My development environment is macOS. Could this be a known issue? I'm on Ubuntu 20.04 using the latest version of Javascript. Thanks in advance!