[[spring-integration]] = Spring Integration Interaction https://spring.io/projects/spring-integration[Spring Integration Framework] extends the Spring programming model to support the well-known Enterprise Integration Patterns. It enables lightweight messaging within Spring-based applications and supports integration with external systems via declarative adapters. It also provides a high-level DSL to compose various operations (endpoints) into a logical integration flow. With a lambda style of this DSL configuration, Spring Integration already has a good level of `java.util.function` interfaces adoption. The `@MessagingGateway` proxy interface can also be as a `Function` or `Consumer`, which according to the Spring Cloud Function environment can be registered into a function catalog. See more information in Spring Integration https://docs.spring.io/spring-integration/docs/current/reference/html/messaging-endpoints.html#functions-support[ReferenceManual] about its support for functions. On the other hand, starting with version `4.0.3`, Spring Cloud Function introduces a `spring-cloud-function-integration` module which provides deeper, more cloud-specific and auto-configuration based API for interaction with a `FunctionCatalog` from Spring Integration DSL perspective. The `FunctionFlowBuilder` is auto-configured and autowired with a `FunctionCatalog` and represents an entry point for function-specific DSL for target `IntegrationFlow` instance. In addition to standard `IntegrationFlow.from()` factories (for convenience), the `FunctionFlowBuilder` exposes a `fromSupplier(String supplierDefinition)` factory to lookup the target `Supplier` in the provided `FunctionCatalog`. Then this `FunctionFlowBuilder` leads to the `FunctionFlowDefinition`. This `FunctionFlowDefinition` is an implementation of the `IntegrationFlowExtension` and exposes `apply(String functionDefinition)` and `accept(String consumerDefinition)` operators to lookup `Function` or `Consumer` from the `FunctionCatalog`, respectively. See their Javadocs for more information. The following example demonstrates the `FunctionFlowBuilder` in action alongside with the power of the rest of `IntegrationFlow` API: [source,java] ---- @Configuration public class IntegrationConfiguration { @Bean Supplier simpleByteArraySupplier() { return "simple test data"::getBytes; } @Bean Function upperCaseFunction() { return String::toUpperCase; } @Bean BlockingQueue results() { return new LinkedBlockingQueue<>(); } @Bean Consumer simpleStringConsumer(BlockingQueue results) { return results::add; } @Bean QueueChannel wireTapChannel() { return new QueueChannel(); } @Bean IntegrationFlow someFunctionFlow(FunctionFlowBuilder functionFlowBuilder) { return functionFlowBuilder .fromSupplier("simpleByteArraySupplier") .wireTap("wireTapChannel") .apply("upperCaseFunction") .log(LoggingHandler.Level.WARN) .accept("simpleStringConsumer"); } } ---- Since the `FunctionCatalog.lookup()` functionality is not limited just to simple function names, a function composition feature can also be used in the mentioned `apply()` and `accept()` operators: [source,java] ---- @Bean IntegrationFlow functionCompositionFlow(FunctionFlowBuilder functionFlowBuilder) { return functionFlowBuilder .from("functionCompositionInput") .accept("upperCaseFunction|simpleStringConsumer"); } ---- This API becomes more relevant, when we add into our Spring Cloud applications auto-configuration dependencies for predefined functions. For example https://spring.io/projects/spring-cloud-stream-applications[Stream Applications] project, in addition to application images, provides artifacts with functions for various integration use-case, e.g. `debezium-supplier`, `elasticsearch-consumer`, `aggregator-function` etc. The following configuration is based on the `http-supplier`, `spel-function` and `file-consumer`, respectively: [source,java] ---- @Bean IntegrationFlow someFunctionFlow(FunctionFlowBuilder functionFlowBuilder) { return functionFlowBuilder .fromSupplier("httpSupplier", e -> e.poller(Pollers.trigger(new OnlyOnceTrigger()))) .>handle((fluxPayload, headers) -> fluxPayload, e -> e.async(true)) .channel(c -> c.flux()) .apply("spelFunction") .transform(String::toUpperCase) .accept("fileConsumer"); } ---- What we would need else is just to add their configuration into an `application.properties` (if necessary): [source,properties] ---- http.path-pattern=/testPath spel.function.expression=new String(payload) file.consumer.name=test-data.txt ----