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Production-ready GraphQL with Caliban
- 1. Production-ready GraphQL with Caliban Atlanta Scala Meetup, June 2023 Pierre Ricadat
- 2. Pierre Ricadat - @ghostdogpr Tech Lead at Devsisters Creator of Caliban and Shardcake OSS Contributor
- 3. Table of Contents A quick primer What is Caliban? Application Monitoring How to add logs, traces and metrics Query Optimization How to make your queries fast Authentication How to handle context 01 02 03 04
- 4. What is Caliban? 01 A quick primer
- 5. Caliban Purely functional Type safety Purely functional Minimal boilerplate Great interop Rich feature set Scala Scala.js Scala Native Scala GraphQL Server GraphQL Client
- 6. Model your GraphQL schema with Scala types
- 7. Resolver is just a value
- 8. Scala types to GraphQL types Case classes & sealed traits Supported types Other types Auto derivation (import) Semi-auto derivation (derives, given) Int, String, List, etc java.util.UUID, java.time Future, ZIO, F[_] Custom instance of Schema typeclass
- 10. From resolver to interpreter
- 11. Use the http and json lib of your choice http4s zio http akka http play
- 12. Application Monitoring 02 How to add logs, traces and metrics
- 13. 3 phases of request processing Transform query string into Document ADT Run the resolvers for that query Verify the Document ADT conforms to the spec and to the schema Parsing Validation Execution
- 14. Introducing wrappers Overall Wrapper Wrap the whole query processing Parsing Wrapper Wrap the parsing phase Validation Wrapper Wrap the validation phase Execution Wrapper Wrap the execution phase Field Wrapper Wrap each individual field execution Introspection Wrapper Wrap only introspection queries
- 16. Simple wrapper for printing errors
- 17. Pre-defined wrappers Validation maxDepth, maxFields, maxCost, queryCost, timeout Logging printErrors, printSlowQueries, logSlowQueries Telemetry metrics, traced Apollo Tracing Apollo Caching Apollo Persisted Queries
- 18. Using wrappers
- 19. Query Optimization 03 How to make your queries fast
- 20. Possible approaches Build queries that match the client requests exactly Build efficient queries despite the nesting (n+1 query problem) Field metadata ZQuery 01 02
- 21. Do I need to query everything?
- 22. Laziness to the rescue!
- 23. The n+1 problem
- 24. Replacing ZIO by ZQuery
- 26. What you get Deduplication If the same ID is requested multiple times in your GraphQL query, it will be queried from your data source only once Batching Query all the needed data at once in a single request to your data source Parallelism Control Decide what can be done in parallel and what should be done sequentially
- 27. Do I need to query all fields?
- 29. What’s in Field? ● Field name ● Field type ● Parent type ● Inner selection <- this is particularly useful to build SQL queries ● Arguments ● Directives ● …
- 31. Authentication 04 How to handle context
- 32. Authentication Typical needs: ● Reject unauthenticated requests ● Access user information stored in a “context”
- 33. Use ZIO environment to store a context
- 35. A simple interceptor that gets a token from headers
- 37. Interceptor use cases Authentication & Authorization Reject wrong queries Inject a context that can be used in your API (and wrappers!) Tracing Extract tracing information from incoming request and inject it into the current span Scope & Configuration Change the value of the current FiberRef to locally modify the behavior of the API
- 38. There’s more! Schema stitching and federation Schema comparison Client generation from server code @defer support Relay support Schema reporting
- 39. CREDITS: This presentation template was created by Slidesgo, including icons by Flaticon, infographics & images by Freepik and illustrations by Stories Thanks! Questions? https://github.com/ghostdogpr/caliban