How-To: Trigger your application with input bindings

    Using bindings, your code can be triggered with incoming events from different resources which can be anything: a queue, messaging pipeline, cloud-service, filesystem etc.

    This is ideal for event-driven processing, data pipelines, or generally reacting to events and performing further processing.

    Dapr bindings allow you to:

    • Receive events without including specific SDKs or libraries
    • Replace bindings without changing your code
    • Focus on business logic and not the event resource implementation

    An input binding represents a resource that Dapr uses to read events from and push to your application. Read the bindings overview for more information.

    Create a new binding component with the name of .

    Inside the metadata section, configure Kafka-related properties, such as the topic to publish the message to and the broker.

    Create the following binding.yaml file and save it to a components sub-folder in your application directory.

    Use the --components-path flag with the dapr run command to point to your custom components directory.

    To deploy into a Kubernetes cluster, run kubectl apply -f binding.yaml.

    1. apiVersion: dapr.io/v1alpha1
    2. kind: Component
    3. metadata:
    4. name: checkout
    5. spec:
    6. type: bindings.kafka
    7. version: v1
    8. metadata:
    9. # Kafka broker connection setting
    10. - name: brokers
    11. value: localhost:9092
    12. # consumer configuration: topic and consumer group
    13. - name: topics
    14. value: sample
    15. - name: consumerGroup
    16. value: group1
    17. # publisher configuration: topic
    18. value: sample
    19. - name: authRequired
    20. value: "false"

    Below are code examples that leverage Dapr SDKs to demonstrate an output binding.

    1. //dependencies
    2. import org.springframework.web.bind.annotation.*;
    3. import org.slf4j.Logger;
    4. import org.slf4j.LoggerFactory;
    5. import reactor.core.publisher.Mono;
    6. //code
    7. @RestController
    8. @RequestMapping("/")
    9. public class CheckoutServiceController {
    10. private static final Logger log = LoggerFactory.getLogger(CheckoutServiceController.class);
    11. @PostMapping(path = "/checkout")
    12. public Mono<String> getCheckout(@RequestBody(required = false) byte[] body) {
    13. return Mono.fromRunnable(() ->
    14. log.info("Received Message: " + new String(body)));
    15. }
    16. }
    1. //dependencies
    2. import (
    3. "encoding/json"
    4. "log"
    5. "github.com/gorilla/mux"
    6. )
    7. func getCheckout(w http.ResponseWriter, r *http.Request) {
    8. w.Header().Set("Content-Type", "application/json")
    9. var orderId int
    10. err := json.NewDecoder(r.Body).Decode(&orderId)
    11. log.Println("Received Message: ", orderId)
    12. if err != nil {
    13. log.Printf("error parsing checkout input binding payload: %s", err)
    14. w.WriteHeader(http.StatusOK)
    15. return
    16. }
    17. }
    18. func main() {
    19. r := mux.NewRouter()
    20. r.HandleFunc("/checkout", getCheckout).Methods("POST", "OPTIONS")
    21. http.ListenAndServe(":6002", r)
    22. }

    Tell Dapr you’ve successfully processed an event in your application by returning a 200 OK response from your HTTP handler.

    Tell Dapr the event was not processed correctly in your application and schedule it for redelivery by returning any response other than 200 OK. For example, a 500 Error.

    By default, incoming events will be sent to an HTTP endpoint that corresponds to the name of the input binding. You can override this by setting the following metadata property in binding.yaml:

    1. name: mybinding
    2. spec:
    3. type: binding.rabbitmq
    4. metadata:
    5. - name: route
    6. value: /onevent

    Event delivery guarantees are controlled by the binding implementation. Depending on the binding implementation, the event delivery can be exactly once or at least once.