Skip to main content

Posts

Showing posts with the label reactjs

Understanding useEffect in ReactJS: A Beginner’s Guide

When learning React, one of the most important hooks you’ll encounter is   useEffect . It's essential for managing side effects like fetching data, updating the DOM, or setting timers. However, as a beginner, you might run into issues such as unexpected re-renders or infinite loops, which can make it tricky to work with. In this guide, we’ll break down the  what ,  where ,  when , and  why  of  useEffect , and dive into  common mistakes  you should avoid. I’ll also provide sample code to help you understand these concepts better. What is  useEffect ? useEffect  is a React hook that lets you perform side effects in function components. Side effects include things like: Fetching data from an API Manually interacting with the DOM Subscribing to events (e.g., setting up intervals) useEffect ( () => { // Side effect logic here }); The code inside  useEffect  runs  after the component renders , and it can re-run if de...

Efficient Data Export in React: Handling Large Data Volumes with Pagination

When dealing with applications that handle large datasets, one common challenge is exporting data into a manageable format, such as Excel, without overwhelming system resources. Exporting hundreds of thousands, or even millions, of records all at once can cause performance issues, timeouts, or even system crashes. In this guide, we will explore a React approach for efficiently exporting large data volumes using pagination and creating Excel files in batches, ensuring that we avoid bottlenecks and HTTP 500 errors. The solution involves fetching data incrementally and appending it to an Excel file, thus keeping system memory usage in check. The Problem with Large Data Exports When exporting large datasets, the traditional approach is to fetch all data at once and export it in one go. However, as the size of the data grows, fetching all records in one request becomes inefficient and risky: Memory limitations:  Large datasets can cause memory overloads in both frontend and backend syst...