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GraphQLquery~5 mins

Query depth and complexity in GraphQL - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What is query depth in GraphQL?
Query depth is the number of nested levels in a GraphQL query. It shows how deep the query goes into related data.
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beginner
Why do we limit query depth in GraphQL?
Limiting query depth helps prevent very deep queries that can slow down the server or cause crashes by using too many resources.
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intermediate
What does query complexity mean in GraphQL?
Query complexity measures how expensive a query is to run, based on factors like number of fields, nested levels, and custom weights for fields.
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intermediate
How can you control query complexity in GraphQL?
You can assign costs to fields and calculate total cost of a query. Then reject queries that exceed a set complexity limit to protect the server.
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beginner
Give an example of a simple GraphQL query with depth 2.
Example: { user { name posts { title } } } has depth 3 because 'posts' is nested inside 'user', and 'title' is nested inside 'posts'.
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What does query depth measure in GraphQL?
ANumber of nested levels in a query
BNumber of fields in a query
CSize of the response data
DNumber of queries sent
Why limit query complexity in GraphQL?
ATo increase query speed always
BTo reduce network traffic
CTo prevent slow or crashing servers
DTo allow unlimited queries
Which of these increases query complexity?
AMore nested fields
BFewer fields
CShallow queries
DNo nested fields
What happens if a query exceeds the allowed depth limit?
AThe query runs slower but succeeds
BThe server rejects the query
CThe query runs faster
DThe server ignores the limit
Which is a good practice to manage query complexity?
AOnly limit query length
BAllow unlimited nested queries
CIgnore query size
DAssign cost values to fields
Explain what query depth and query complexity mean in GraphQL and why they matter.
Think about how deep queries can get and how much work they cause.
You got /3 concepts.
    Describe how you would protect a GraphQL server from very expensive queries.
    Consider limits and cost calculations.
    You got /4 concepts.