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GraphQL APIs with Spring Boot · Lesson

Query Complexity Analysis

Implement mechanisms to analyze and limit the complexity of incoming GraphQL queries to prevent denial-of-service attacks.

What is Query Complexity?

When building GraphQL APIs, clients can request a lot of data in a single query. This flexibility is powerful, but it also carries a risk.

Query complexity refers to how much "work" your server needs to do to fulfill a particular GraphQL query. It's not just about the data size, but also the resources required.

Preventing Overload & DoS

Without limits, a malicious or poorly written query could ask for an excessive amount of deeply nested data or very large lists.

  • This can exhaust server resources (CPU, memory, database connections).
  • It can lead to slow response times for all users.
  • In extreme cases, it can cause a Denial-of-Service (DoS) attack, making your API unavailable.

Analyzing query complexity helps prevent these issues.

All lessons in this course

  1. Query Complexity Analysis
  2. Caching Strategies for GraphQL
  3. Monitoring and Tracing GraphQL
  4. Persisted Queries and Automatic Persisted Queries
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