Functional Testing of GraphQL APIs: Simple Checks That Catch Real Bugs
summary
Shows concrete checks and tools: uses Altair/Postman for manual checks, Rest Assured for automation, and a harness that auto-generates tests from Jira plus schema (AI-assisted). Covers positive checks (schema compliance, variable ranges), negative checks (missing required fields, syntax errors), datatype and nullable validation, and query-complexity guards like cost (example max 100) and depth limits (example depth 3). Describes CI/CD integration, asserting stable error payloads despite 200 status, and adding tracing via Apollo Studio/DataDog for root-cause visibility.
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chapters (8)
- 0:00GraphQL API testing intro
- 1:36GraphQL vs REST comparison
- 4:50Positive testing for GraphQL
- 6:35Negative testing scenarios
- 8:44Cost and depth testing
- 10:29Best practices for automation
- 13:43Key testing concepts recap
- 14:51Q&A on automation tools
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