Given the following GraphQL query requesting user details and their posts, what is the exact data returned?
query {
user(id: "1") {
id
name
posts {
id
title
}
}
}Check which fields are requested inside the user object.
The query requests id, name, and posts with id and title. So the response includes all these fields.
This GraphQL query requests all fields of a user and all fields of their posts, including large content fields. What problem does this cause?
query {
user(id: "1") {
id
name
email
posts {
id
title
content
comments {
id
text
}
}
}
}Think about the size and amount of data requested.
Requesting all fields including large content and nested comments can cause over-fetching, slowing down the response and wasting bandwidth.
Find the syntax error in the following GraphQL query that fetches user and posts data.
query {
user(id: "1") {
id
name
posts {
id
title
}
}Count the opening and closing braces carefully.
The query is missing the closing brace for the user field, causing a syntax error.
The client needs the user's email but the query only requests id and name. How to fix this under-fetching problem?
query {
user(id: "1") {
id
name
}
}Think about what fields the client needs to see.
Under-fetching happens when the query misses fields the client needs. Adding email fixes this.
Choose the best explanation for how GraphQL addresses over-fetching and under-fetching problems compared to REST APIs.
Think about how GraphQL queries differ from REST endpoints.
GraphQL allows clients to request only the data they need, solving both over-fetching and under-fetching issues common in REST.