Batching

Lesson in the GraphQL Roadmap · Stage 8: Serving over Internet

Last updated 14 September 2026

What is Batching?

Batching in GraphQL combines multiple queries into a single request to reduce network overhead and improve performance. DataLoader is a common pattern that batches and caches database requests, preventing N+1 query problems and optimizing data fetching efficiency.

Study this in the interactive course See the whole GraphQL roadmap

Free resources to learn Batching

Open sourceDataLoader
ArticleSolving the N+1 Problem

Batching: common questions

Can I learn Batching in Hindi?

This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Batching in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.

Is this Batching tutorial for beginners?

It is lesson 47 of 65 in the free GraphQL roadmap, in stage 8, Serving over Internet. If you are new to GraphQL, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.