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How-To: Trigger your application with input bindings
With input bindings, you can trigger your application when an event from an external resource occurs. An external resource could be a queue, messaging pipeline, cloud-service, filesystem, etc. An optional payload and metadata may be sent with the request.
Input bindings are ideal for event-driven processing, data pipelines, or generally reacting to events and performing further processing. Dapr input 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
This guide uses a Kafka binding as an example. You can find your preferred binding spec from the list of bindings components. In this guide:
- The example invokes the
/binding
endpoint withcheckout
, the name of the binding to invoke. - The payload goes inside the mandatory
data
field, and can be any JSON serializable value. - The
operation
field tells the binding what action it needs to take. For example, the Kafka binding supports thecreate
operation.
Note
If you haven’t already, try out the bindings quickstart for a quick walk-through on how to use the bindings API.Create a binding
Create a binding.yaml
file and save to a components
sub-folder in your application directory.
Create a new binding component named checkout
. Within the metadata
section, configure the following Kafka-related properties:
- The topic to which you’ll publish the message
- The broker
When creating the binding component, specify the supported direction
of the binding.
Use the --resources-path
flag with the dapr run
command to point to your custom resources directory.
apiVersion: dapr.io/v1alpha1
kind: Component
metadata:
name: checkout
spec:
type: bindings.kafka
version: v1
metadata:
# Kafka broker connection setting
- name: brokers
value: localhost:9092
# consumer configuration: topic and consumer group
- name: topics
value: sample
- name: consumerGroup
value: group1
# publisher configuration: topic
- name: publishTopic
value: sample
- name: authRequired
value: false
- name: direction
value: input
To deploy into a Kubernetes cluster, run kubectl apply -f binding.yaml
.
apiVersion: dapr.io/v1alpha1
kind: Component
metadata:
name: checkout
spec:
type: bindings.kafka
version: v1
metadata:
# Kafka broker connection setting
- name: brokers
value: localhost:9092
# consumer configuration: topic and consumer group
- name: topics
value: sample
- name: consumerGroup
value: group1
# publisher configuration: topic
- name: publishTopic
value: sample
- name: authRequired
value: false
- name: direction
value: input
Listen for incoming events (input binding)
Configure your application to receive incoming events. If you’re using HTTP, you need to:
- Listen on a
POST
endpoint with the name of the binding, as specified inmetadata.name
in thebinding.yaml
file. - Verify your application allows Dapr to make an
OPTIONS
request for this endpoint.
Below are code examples that leverage Dapr SDKs to demonstrate an output binding.
//dependencies
using System.Collections.Generic;
using System.Threading.Tasks;
using System;
using Microsoft.AspNetCore.Mvc;
//code
namespace CheckoutService.controller
{
[ApiController]
public class CheckoutServiceController : Controller
{
[HttpPost("/checkout")]
public ActionResult<string> getCheckout([FromBody] int orderId)
{
Console.WriteLine("Received Message: " + orderId);
return "CID" + orderId;
}
}
}
//dependencies
import org.springframework.web.bind.annotation.*;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import reactor.core.publisher.Mono;
//code
@RestController
@RequestMapping("/")
public class CheckoutServiceController {
private static final Logger log = LoggerFactory.getLogger(CheckoutServiceController.class);
@PostMapping(path = "/checkout")
public Mono<String> getCheckout(@RequestBody(required = false) byte[] body) {
return Mono.fromRunnable(() ->
log.info("Received Message: " + new String(body)));
}
}
#dependencies
import logging
from dapr.ext.grpc import App, BindingRequest
#code
app = App()
@app.binding('checkout')
def getCheckout(request: BindingRequest):
logging.basicConfig(level = logging.INFO)
logging.info('Received Message : ' + request.text())
app.run(6002)
//dependencies
import (
"encoding/json"
"log"
"net/http"
"github.com/gorilla/mux"
)
//code
func getCheckout(w http.ResponseWriter, r *http.Request) {
w.Header().Set("Content-Type", "application/json")
var orderId int
err := json.NewDecoder(r.Body).Decode(&orderId)
log.Println("Received Message: ", orderId)
if err != nil {
log.Printf("error parsing checkout input binding payload: %s", err)
w.WriteHeader(http.StatusOK)
return
}
}
func main() {
r := mux.NewRouter()
r.HandleFunc("/checkout", getCheckout).Methods("POST", "OPTIONS")
http.ListenAndServe(":6002", r)
}
//dependencies
import { DaprServer, CommunicationProtocolEnum } from '@dapr/dapr';
//code
const daprHost = "127.0.0.1";
const serverHost = "127.0.0.1";
const serverPort = "6002";
const daprPort = "3602";
start().catch((e) => {
console.error(e);
process.exit(1);
});
async function start() {
const server = new DaprServer({
serverHost,
serverPort,
communicationProtocol: CommunicationProtocolEnum.HTTP,
clientOptions: {
daprHost,
daprPort,
}
});
await server.binding.receive('checkout', async (orderId) => console.log(`Received Message: ${JSON.stringify(orderId)}`));
await server.start();
}
ACK an event
Tell Dapr you’ve successfully processed an event in your application by returning a 200 OK
response from your HTTP handler.
Reject an event
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
.
Specify a custom route
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
:
name: mybinding
spec:
type: binding.rabbitmq
metadata:
- name: route
value: /onevent
Event delivery Guarantees
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.
References
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