Field-level permissions in GraphQL - Cheat Sheet & Quick Revision

Recall & Review

beginner

What are field-level permissions in GraphQL?

Field-level permissions control access to specific fields in a GraphQL schema, allowing or denying users from seeing or modifying certain data fields.

beginner

Why are field-level permissions important in GraphQL APIs?

They protect sensitive data by restricting access to certain fields based on user roles or conditions, ensuring users only see data they are allowed to access.

intermediate

How can you implement field-level permissions in GraphQL?

By adding authorization logic in resolvers or using middleware that checks user roles before returning field data.

intermediate

What happens if a user tries to access a field they don't have permission for?

The field can return null, an error, or be omitted from the response depending on the implementation, preventing unauthorized data exposure.

intermediate

Give an example of a simple field-level permission check in a GraphQL resolver.

In a resolver, check the user's role before returning the field data, e.g., if (user.role !== 'admin') return null; else return sensitiveData;

What does field-level permission control in GraphQL?

A GraphQL query syntax

B Access to the entire API

C Database connection settings

D Access to specific fields in the schema

Field-level permissions control access to specific fields, not the entire API or other unrelated settings.

Where is field-level permission logic usually implemented in GraphQL?

A In resolvers or middleware

B In the database schema

C In the client application

D In the network protocol

Resolvers or middleware are the places where access checks happen before returning data.

What is a common response when a user lacks permission for a field?

A Crash the server

B Return full data anyway

C Return null or an error

D Ignore the query

Returning null or an error prevents unauthorized data exposure safely.

Why should field-level permissions be used instead of only query-level permissions?

A To speed up queries

B To protect sensitive fields within allowed queries

C To reduce server load

D To simplify client code

Field-level permissions add finer control to protect sensitive data inside queries.

Which role might typically have access to all fields in a GraphQL API?

A Admin

B Guest

C Anonymous

D User

Admins usually have full access, while other roles have limited permissions.

Explain what field-level permissions are and why they matter in GraphQL APIs.

Think about controlling access to parts of data, not just whole queries.

Describe how you would implement a simple field-level permission check in a GraphQL resolver.

Focus on the resolver function and conditional logic.

Practice

1. What is the main purpose of field-level permissions in GraphQL?

easy

A. To cache query results

B. To control access to individual data fields

C. To define the schema structure

D. To speed up query execution

Solution

1. Step 1: Understand the concept of field-level permissions

   Field-level permissions restrict who can see or edit specific fields in data, protecting sensitive information.

2. Step 2: Identify the main purpose

   The main goal is to control access to individual data fields, not to speed up queries or define schema structure.

3. Final Answer:

   To control access to individual data fields -> Option B

4. Quick Check:

   Field-level permissions = control access [OK]

Hint: Focus on access control for each field, not overall schema [OK]

Common Mistakes:

• Confusing permissions with schema design
• Thinking it speeds up queries
• Assuming it caches data

2. Which of the following is the correct way to apply a field-level permission directive in a GraphQL schema?

easy

A. type User { email: String @auth(role: "admin") }

B. type User { email: String auth(role: "admin") }

C. type User { email: String @auth[role="admin"] }

D. type User { email: String #auth(role: "admin") }

Solution

1. Step 1: Recall GraphQL directive syntax

   Directives use the @directiveName(arguments) format placed after the field type.

2. Step 2: Match the correct syntax

   type User { email: String @auth(role: "admin") } uses @auth(role: "admin") correctly. Options A, B, and D have syntax errors or wrong symbols.

3. Final Answer:

   type User { email: String @auth(role: "admin") } -> Option A

4. Quick Check:

   Directive syntax = @name(args) [OK]

Hint: Remember directives start with @ and use parentheses [OK]

Common Mistakes:

• Omitting the @ symbol
• Using brackets [] instead of parentheses ()
• Commenting out the directive

3. Given this GraphQL query and schema with field-level permissions:

type User { id: ID! name: String email: String @auth(role: "admin") }

If a user with role "user" runs:

{ user { id name email } }

What will be the result?

medium

A. { "data": { "user": { "id": "1", "name": "Alice", "email": "[e-mail]" } } }

B. { "data": { "user": { "id": "1", "name": "Alice", "email": null } } }

C. Error: Unauthorized to access field 'email'

D. { "data": { "user": { "id": "1", "name": "Alice" } } }

Solution

1. Step 1: Understand the permission on the email field

   The @auth(role: "admin") directive restricts email access to admin role only.

2. Step 2: Predict query result for a user role

   The user role is not admin, so email field is omitted from the response, not returned as null or error.

3. Final Answer:

   { "data": { "user": { "id": "1", "name": "Alice" } } } -> Option D

4. Quick Check:

   Unauthorized fields are omitted, not null or error [OK]

Hint: Unauthorized fields are hidden, not null or error [OK]

Common Mistakes:

• Expecting null instead of omitted field
• Expecting an error response
• Assuming all fields return regardless of role

4. You wrote this schema snippet:

type User { id: ID! name: String email: String @auth(role: admin) }

Why does this cause an error when applying field-level permissions?

medium

A. The role value admin should be a string in quotes

B. The @auth directive is not allowed on fields

C. ID! type cannot have directives

D. The email field must be nullable to use permissions

Solution

1. Step 1: Check the directive argument syntax

   Directive arguments must be valid GraphQL values; strings require quotes.

2. Step 2: Identify the error in role argument

   The role value admin is unquoted, causing a syntax error. It should be "admin".

3. Final Answer:

   The role value admin should be a string in quotes -> Option A

4. Quick Check:

   Directive args strings need quotes [OK]

Hint: Always put string arguments in quotes inside directives [OK]

Common Mistakes:

• Forgetting quotes around string arguments
• Thinking directives can't be on fields
• Assuming non-null types disallow directives

5. You want to allow users to see their own email field but only admins to see others' emails. Which field-level permission setup achieves this?

hard

A. Use @auth(role: "admin") on email field only

B. Make email field public and filter in resolver

C. Use a custom directive checking if user is owner or admin

D. Remove email field from schema and add a separate query

Solution

1. Step 1: Analyze the requirement

   Users can see their own email; admins can see all emails. This needs conditional logic.

2. Step 2: Evaluate options for conditional access

   Use a custom directive checking if user is owner or admin uses a custom directive to check ownership or admin role, fitting the requirement precisely.

3. Step 3: Why other options fail

   Use @auth(role: "admin") on email field only restricts email only to admins, blocking users from their own email. Make email field public and filter in resolver exposes email publicly, unsafe. Remove email field from schema and add a separate query complicates schema unnecessarily.

4. Final Answer:

   Use a custom directive checking if user is owner or admin -> Option C

5. Quick Check:

   Conditional access needs custom logic [OK]

Hint: Use custom directives for complex permission logic [OK]

Common Mistakes:

• Using simple role checks only
• Exposing sensitive fields publicly
• Overcomplicating schema with extra queries