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GraphQLquery~10 mins

Over-fetching and under-fetching problems in GraphQL - Interactive Code Practice

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to fetch only the user's name in a GraphQL query.

GraphQL
query { user { [1] } }
Drag options to blanks, or click blank then click option'
Aemail
Bname
Cid
Dposts
Attempts:
3 left
💡 Hint
Common Mistakes
Choosing 'posts' fetches too much data, causing over-fetching.
Choosing 'email' or 'id' fetches different data than the name.
2fill in blank
medium

Complete the code to fetch a user's posts with only the post titles.

GraphQL
query { user { posts { [1] } } }
Drag options to blanks, or click blank then click option'
Atitle
Bauthor
Ccontent
Ddate
Attempts:
3 left
💡 Hint
Common Mistakes
Choosing 'content' fetches the full post text, causing over-fetching.
Choosing 'author' or 'date' fetches unrelated data.
3fill in blank
hard

Fix the error in the query to avoid under-fetching user email.

GraphQL
query { user { name [1] } }
Drag options to blanks, or click blank then click option'
Aemail
Bposts
C}
Did
Attempts:
3 left
💡 Hint
Common Mistakes
Choosing '}' fetches only name, still under-fetching email.
Choosing 'posts' fetches extra data, causing over-fetching.
Choosing 'id' fetches id instead of email.
4fill in blank
hard

Fill both blanks to fetch user's name and email without over-fetching.

GraphQL
query { user { [1] [2] } }
Drag options to blanks, or click blank then click option'
Aname
Bposts
Cemail
Dcomments
Attempts:
3 left
💡 Hint
Common Mistakes
Including 'posts' or 'comments' fetches too much data.
Missing either 'name' or 'email' causes under-fetching.
5fill in blank
hard

Fill all three blanks to fetch post title, author name, and post date without extra data.

GraphQL
query { post { [1] author { [2] } [3] } }
Drag options to blanks, or click blank then click option'
Atitle
Bname
Cdate
Dcontent
Attempts:
3 left
💡 Hint
Common Mistakes
Choosing 'content' fetches too much data.
Missing any of the three fields causes under-fetching.

Practice

(1/5)
1. What does over-fetching mean in GraphQL?
easy
A. Getting more data than the client actually needs
B. Getting less data than the client actually needs
C. Getting exactly the data the client requests
D. Getting data from multiple sources at once

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]
Hint: 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
2. Which GraphQL query syntax correctly avoids over-fetching by requesting only the user's name and email?
easy
A. { user { id name email } }
B. { user { name email posts } }
C. { user { name email } }
D. { user { id posts comments } }

Solution

  1. Step 1: Identify requested fields

    { user { name email } } requests only name and email, exactly what is needed.
  2. Step 2: Check other options for extra fields

    { user { id name email } } includes id (extra), B and D include posts and comments (extra data).
  3. Final Answer:

    { user { name email } } -> Option C
  4. Quick Check:

    Request only needed fields = { user { name email } } [OK]
Hint: Pick query with only needed fields, no extras [OK]
Common Mistakes:
  • Including extra fields causing over-fetching
  • Missing required fields causing under-fetching
  • Confusing field names or nesting
3. Given this GraphQL query:
{ user { name posts { title } } }

What problem might this query cause if the client only needs the user's name?
medium
A. No problem, it fetches exactly what is needed
B. Under-fetching, missing the posts data
C. Syntax error due to missing fields
D. Over-fetching, fetching unnecessary posts data

Solution

  1. Step 1: Analyze the query fields

    The query requests name and posts { title }, which includes posts data.
  2. Step 2: Compare with client needs

    The client only needs name, so fetching posts is extra data causing over-fetching.
  3. Final Answer:

    Over-fetching, fetching unnecessary posts data -> Option D
  4. Quick Check:

    Extra fields cause over-fetching = Over-fetching, fetching unnecessary posts data [OK]
Hint: Check if query requests more than needed fields [OK]
Common Mistakes:
  • Thinking missing posts is under-fetching
  • Assuming no problem if query runs
  • Confusing syntax errors with data issues
4. Identify the error in this GraphQL query that causes under-fetching:
{ user { name } }

The client needs the user's name and email.
medium
A. The query is missing the email field
B. The query has a syntax error in braces
C. The query requests too many fields
D. The query uses incorrect field names

Solution

  1. Step 1: Check requested fields

    The query requests only name, missing email.
  2. Step 2: Compare with client needs

    The client needs both name and email, so missing email causes under-fetching.
  3. Final Answer:

    The query is missing the email field -> Option A
  4. Quick Check:

    Missing needed fields = under-fetching [OK]
Hint: Check if all needed fields are requested [OK]
Common Mistakes:
  • Assuming syntax error when none exists
  • Thinking too many fields cause under-fetching
  • Ignoring missing fields as a problem
5. You have a GraphQL query fetching a list of users with their posts and comments:
{ users { id name posts { title comments { text } } } }

To avoid over-fetching when the client only needs user names and post titles, how should you modify the query?
hard
A. { users { id name posts { title comments { text } } } }
B. { users { name posts { title } } }
C. { users { name posts { comments { text } } } }
D. { users { posts { title } } }

Solution

  1. Step 1: Identify needed fields

    The client needs only name and post titles, no id or comments.
  2. Step 2: Modify query to include only needed fields

    { users { name posts { title } } } requests name and posts { title }, exactly matching needs without extra data.
  3. Final Answer:

    { users { name posts { title } } } -> Option B
  4. Quick Check:

    Remove unneeded fields to avoid over-fetching [OK]
Hint: Keep only fields client needs, remove nested extras [OK]
Common Mistakes:
  • Leaving comments in query causing over-fetching
  • Removing needed fields like user name
  • Removing posts entirely causing under-fetching
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