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What does over-fetching mean in GraphQL?

easy📝 Conceptual Q11 of 15
GraphQL - Basics and Philosophy
What does over-fetching mean in GraphQL?
AGetting more data than the client actually needs
BGetting less data than the client actually needs
CGetting exactly the data the client requests
DGetting data from multiple sources at once
Step-by-Step Solution
Solution:

  1. Step 1: Understand the term over-fetching

    Over-fetching means the client receives more data than it requires, which can slow down the app.

  2. Step 2: Compare with other options

    Under-fetching is the opposite (less data), exact fetching matches needs, and multiple sources is unrelated.

  3. Final Answer:

    Getting more data than the client actually needs -> Option A

  4. Quick Check:

    Over-fetching = More data than needed [OK]
Quick Trick: Over-fetching means extra data beyond need [OK]
Common Mistakes:
  • Confusing over-fetching with under-fetching
  • Thinking over-fetching means exact data
  • Mixing up data sources with data amount

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