Challenges of Over-fetching
1. Increased Network Traffic
- Time Wastage: Data collection process involves gathering large amounts of data manually, leading to inefficiencies.
- Bandwidth Usage: Sending this data consumes a lot of bandwidth, which can slow down communication, especially with limited bandwidth or high latency.
2. Resource Wastage
What Are Over-Fetching and Under-Fetching?
Fetching data in GraphQL is a fundamental concept that involves retrieving information from a server or database. Unlike traditional REST APIs, GraphQL allows clients to request only the specific data they need, minimizing over–fetching and under–fetching.
In this article, We will explore the concepts of fetching, over–fetching, and under–fetching in GraphQL, along with their challenges and solutions in detail and so on.