Field-level errors help you know exactly which part of your data request has a problem. This makes fixing issues faster and clearer.
Field-level errors in GraphQL
query {
user(id: "123") {
name
email
posts {
title
content
}
}
}
# If an error happens in 'email', the response will include an 'errors' array with details about that field.Field-level errors appear in the 'errors' part of the GraphQL response.
Errors include a 'path' showing which field caused the problem.
query {
user(id: "123") {
name
email
}
}query {
product(id: "456") {
name
price
reviews {
rating
comment
}
}
}This query asks for a user with id "999". If the user does not exist or the email field has an error, the response will show which field caused the problem.
query {
user(id: "999") {
name
email
}
}Field-level errors let you handle partial failures gracefully.
Always check the 'errors' array in the response to find these errors.
Errors include a 'path' array to help you locate the exact field with the problem.
Field-level errors show exactly which part of a query failed.
They help apps show clear messages next to problem fields.
Errors include a path to find the field causing the issue.
Practice
Solution
Step 1: Understand what field-level errors represent
Field-level errors identify the specific part of a query that failed, not the whole query.Step 2: Recognize the benefit of field-level errors
This helps apps show clear messages next to the exact problem fields, improving user experience.Final Answer:
To show exactly which field in the query caused an error -> Option AQuick Check:
Field-level errors = pinpoint error location [OK]
- Thinking errors speed up queries
- Believing errors fix themselves
- Confusing errors with encryption
Solution
Step 1: Identify the standard format for error paths
GraphQL error paths are arrays showing the nested fields causing the error, e.g., ["user", "email"].Step 2: Compare options to the standard format
"path": ["user", "email"] matches the array format; others use strings or wrong keys.Final Answer:
"path": ["user", "email"] -> Option DQuick Check:
Error path = array of field names [OK]
- Using dot notation strings for paths
- Confusing 'error' with 'path' key
- Using 'location' instead of 'path'
{"errors": [{"message": "Cannot query field 'age' on type 'User'", "path": ["user", "age"]}]}What does the path ["user", "age"] indicate?
Solution
Step 1: Analyze the error message and path
The message says 'Cannot query field age on type User', and the path shows the nested location: user -> age.Step 2: Interpret the meaning of the path
This means the error is specifically with the 'age' field inside the 'user' object, not the whole user or root.Final Answer:
The error is in the 'age' field inside the 'user' object -> Option AQuick Check:
Path shows exact field with error [OK]
- Assuming whole object is missing
- Confusing syntax errors with field errors
- Thinking null fields cause this error
{"errors": [{"message": "Field 'price' must be a positive number", "path": ["product", "price"]}]}Which fix will correctly address the field-level error?
Solution
Step 1: Understand the error message and path
The error says 'price' must be positive, and the path points to product -> price field.Step 2: Determine the correct fix
Fixing means providing a positive number for 'price' in the query variables, not removing or renaming the field.Final Answer:
Change the 'price' value to a positive number in the query variables -> Option BQuick Check:
Fix value to meet field rules [OK]
- Removing required fields
- Renaming fields without schema support
- Ignoring errors expecting auto-fix
{ user { name, posts { title, comments { text, author } } } }If the error response shows:
{"errors": [{"message": "Cannot query field 'author' on type 'Comment'", "path": ["user", "posts", 0, "comments", 2, "author"]}]}What does this error tell you about the query and how should you fix it?
Solution
Step 1: Analyze the error message and path
The error says 'author' is not a valid field on 'Comment'. The path shows it is nested inside user -> posts -> comments at index 2.Step 2: Decide the fix based on schema rules
Since 'author' is invalid, you should remove or correct this field in the query to match the schema.Final Answer:
The 'author' field does not exist on 'Comment'; remove or correct it in the query -> Option CQuick Check:
Field error means fix or remove invalid field [OK]
- Assuming empty arrays cause this error
- Adding missing fields not in schema
- Renaming unrelated fields
Ready to prove it?
Pass the test and this pattern moves unknown
