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rrezartprebrezarrezartprebreza/spring-boot-skills/skills/spring-boot-3/webflux-reactive-patterns/SKILL.md

webflux-reactive-patterns

Skill344 starsChanged 3 months agoMITView on GitHub

Use when the complete Spring Boot 3 request path is reactive: WebFlux controllers, Reactor pipelines, R2DBC persistence, streaming, backpressure, or cancellation. For defining and registering declarative outbound API interfaces, use http-interface-clients.

The file

We split this skill into the rules it gives an agent

9 rules. About 0 are common, 4 are distinctive, and 5 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 5

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use WebFlux when the complete request path can benefit from non-blocking I/O.

    line 11
  2. Distinctive:

    Keep blocking JDBC, filesystem, and legacy SDK calls out of event-loop threads.

    line 17
  3. Very specific:

    Put request-scoped metadata in Reactor Context, not ThreadLocal.

    line 23
  4. Very specific:

    Use onErrorResume only when a defined fallback exists.

    line 25
  5. Very specific:

    Avoid onErrorContinue; it makes partial processing hard to reason about.

    line 26
  6. Distinctive:

    Use R2DBC for reactive database access.

    line 30
  7. Very specific:

    Avoid collecting an unbounded Flux into memory.

    line 33
  8. Very specific:

    Use StepVerifier for publisher behavior and WebTestClient for HTTP contracts.

    line 37
  9. Distinctive:

    Test cancellation, timeout, empty results, errors, ordering, and backpressure.

    line 38

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

WebFlux Reactive Patterns

Use WebFlux when the complete request path can benefit from non-blocking I/O.

Pipeline rules

  • Return Mono or Flux; do not call subscribe() in request-handling code.
  • Compose work with map, flatMap, concatMap, and zip according to ordering requirements.
  • Keep blocking JDBC, filesystem, and legacy SDK calls out of event-loop threads.
  • Isolate unavoidable blocking calls on boundedElastic at the narrow adapter boundary.
  • Apply timeouts at remote-call boundaries and preserve cancellation.

Context and errors

  • Put request-scoped metadata in Reactor Context, not ThreadLocal.
  • Translate domain failures centrally without swallowing cancellation or infrastructure errors.
  • Use onErrorResume only when a defined fallback exists.
  • Avoid onErrorContinue; it makes partial processing hard to reason about.

Persistence and streaming

  • Use R2DBC for reactive database access; JDBC makes the pipeline blocking.
  • Bound concurrency for fan-out operations.
  • Define backpressure and buffering limits for streaming endpoints.
  • Avoid collecting an unbounded Flux into memory.

Testing

  • Use StepVerifier for publisher behavior and WebTestClient for HTTP contracts.
  • Test cancellation, timeout, empty results, errors, ordering, and backpressure.
  • Enable blocking-call detection in tests when the project supports it.

Examples

  • See examples/good-reactive-service.java and examples/bad-reactive-service.java.

Gotchas

  • Agent calls block() in a controller or service - keep the full request path non-blocking.
  • Agent calls subscribe() manually - the web runtime owns subscription.
  • Agent stores tenant or security data in ThreadLocal - use Reactor Context.
  • Agent uses unbounded flatMap - set concurrency according to downstream capacity.
  • Agent wraps JDBC in Mono.just - that still blocks the caller thread.

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