Given the following GraphQL schema snippet:
type Author {
id: ID!
name: String!
posts: [Post!]!
}
type Post {
id: ID!
title: String!
comments: [Comment!]!
}
type Comment {
id: ID!
content: String!
}And the query:
{
author(id: "1") {
name
posts {
title
comments {
content
}
}
}
}Assuming the author with id "1" has 1 post titled "Hello World" with 2 comments "Nice post!" and "Thanks for sharing", what is the expected JSON output?
{
author(id: "1") {
name
posts {
title
comments {
content
}
}
}
}Remember that nested fields return all requested subfields for each item.
The query requests the author's name, their posts, and for each post, the comments with their content. Since the author has one post with two comments, all are included in the output.
Choose the syntactically valid GraphQL query to fetch an author's name and the titles of their posts.
GraphQL queries do not use commas or semicolons between fields.
GraphQL syntax requires fields to be listed without commas or semicolons. Option B correctly lists fields with spaces only.
Given a query fetching authors with their posts and comments, which modification reduces the data size returned?
{
authors {
id
name
posts {
id
title
comments {
id
content
}
}
}
}Consider which fields are necessary for your use case to minimize data transfer.
Fetching only comment ids reduces data size while still identifying comments. Removing comments entirely or posts may lose needed info. Omitting post ids may cause issues if ids are needed.
Given the query:
{
author(id: "2") {
name
posts {
title
}
}
}The response is:
{
"data": {
"author": {
"name": "Bob",
"posts": null
}
}
}What is the most likely cause?
Null in nested fields often means no data or nullable field.
The posts field is nullable and the author has no posts, so the server returns null for posts instead of an empty list.
Choose the best explanation for why nested field queries are useful in GraphQL.
Think about how nested queries affect network requests.
Nested queries let clients request related data in one go, avoiding multiple separate requests and improving efficiency.