Given this GraphQL query response, which field contains an error?
{
"data": {
"user": {
"id": "123",
"email": null,
"name": "Alice"
}
},
"errors": [
{
"message": "Email not found",
"path": ["user", "email"]
}
]
}Look at the 'errors' array and see which field path it points to.
The 'errors' array shows an error message for the 'email' field. The 'email' field is null, indicating a field-level error.
What does a field-level error in a GraphQL response mean?
Field-level errors allow partial data with some fields failing.
Field-level errors mean that some fields in the response failed, but the rest of the data is still returned.
Choose the valid GraphQL error response that shows a field-level error for the 'price' field.
Field-level errors include a 'path' to the field and partial data.
Option B shows partial data with 'price' null and an error message with a path to 'price', which is the correct format for field-level errors.
Given this GraphQL schema snippet, why might the 'email' field cause a field-level error?
type User {
id: ID!
name: String!
email: String
}
query {
user(id: "1") {
id
name
email
}
}Nullable fields can return null but may cause errors if not handled properly.
The 'email' field is nullable, so it can be null. If the resolver returns null due to an error but does not handle it, a field-level error can appear.
You have a complex GraphQL query fetching multiple nested fields. Which approach best reduces field-level errors?
Good error handling helps clients understand and handle partial failures.
Implementing detailed error handling in resolvers allows returning partial data with clear error messages, minimizing unexpected field-level errors.