8.3 KiB
type | title | linkTitle | description | weight |
---|---|---|---|---|
docs | How-To: Trigger your application with input bindings | How-To: Input bindings | Use Dapr input bindings to trigger event driven applications | 200 |
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 just generally reacting to events and doing 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
For more info on bindings, read [this overview]({{}}).
Example:
The below code example loosely describes an application that processes orders. In the example, there is an order processing service which has a Dapr sidecar. The checkout service uses Dapr to trigger the application(input binding).

1. Create a binding
An output binding represents a resource that Dapr uses to invoke and send messages to.
For the purpose of this guide, you'll use a Kafka binding. You can find a list of the different binding specs [here]({{< ref setup-bindings >}}).
Create a new binding component with the name of checkout
.
Inside the metadata
section, configure Kafka related properties such as the topic to publish the message to and the broker.
{{< tabs "Self-Hosted (CLI)" Kubernetes >}}
{{% codetab %}}
Create the following YAML file, named binding.yaml
, and save this to a components
sub-folder in your application directory.
(Use the --components-path
flag with dapr run
to point to your custom components dir)
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"
{{% /codetab %}}
{{% codetab %}}
To deploy this into a Kubernetes cluster, fill in the metadata
connection details of your [desired binding component]({{< ref setup-bindings >}}) in the yaml below (in this case kafka), save as binding.yaml
, and 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"
{{% /codetab %}}
{{< /tabs >}}
2. Listen for incoming events(Input Binding)
Now configure your application to receive incoming events. If using HTTP, you need to listen on a POST
endpoint with the name of the binding as specified in metadata.name
in the file.
Below are code examples that leverage Dapr SDKs for output binding.
{{< tabs Dotnet Java Python Go Javascript>}}
{{% codetab %}}
//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;
}
}
}
Navigate to the directory containing the above code, then run the following command to launch a Dapr sidecar and run the application:
dapr run --app-id checkout --app-port 6002 --dapr-http-port 3602 --dapr-grpc-port 60002 --app-ssl dotnet run
{{% /codetab %}}
{{% codetab %}}
//dependencies
import reactor.core.publisher.Mono;
//code
@RestController
@RequestMapping("/")
public class CheckoutServiceController {
@PostMapping(path = "/checkout")
public Mono<String> getCheckout(@RequestBody(required = false) byte[] body) {
return Mono.fromRunnable(() ->
log.info("Received Message: " + new String(body)));
}
}
Navigate to the directory containing the above code, then run the following command to launch a Dapr sidecar and run the application:
dapr run --app-id checkout --app-port 6002 --dapr-http-port 3602 --dapr-grpc-port 60002 mvn spring-boot:run
{{% /codetab %}}
{{% codetab %}}
#dependencies
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)
Navigate to the directory containing the above code, then run the following command to launch a Dapr sidecar and run the application:
dapr run --app-id checkout --app-port 6002 --dapr-http-port 3602 --dapr-grpc-port 60002 -- python3 CheckoutService.py
{{% /codetab %}}
{{% codetab %}}
//dependencies
import (
"encoding/json"
"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)
}
Navigate to the directory containing the above code, then run the following command to launch a Dapr sidecar and run the application:
dapr run --app-id checkout --app-port 6002 --dapr-http-port 3602 --dapr-grpc-port 60002 go run CheckoutService.go
{{% /codetab %}}
{{% codetab %}}
//dependencies
import { DaprServer, CommunicationProtocolEnum } from 'dapr-client';
//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, daprHost, daprPort, CommunicationProtocolEnum.HTTP);
await server.binding.receive('checkout', async (orderId) => console.log(`Received Message: ${JSON.stringify(orderId)}`));
await server.startServer();
}
Navigate to the directory containing the above code, then run the following command to launch a Dapr sidecar and run the application:
dapr run --app-id checkout --app-port 6002 --dapr-http-port 3602 --dapr-grpc-port 60002 dotnet npm start
{{% /codetab %}}
{{< /tabs >}}
ACK-ing an event
In order to tell Dapr that you successfully processed an event in your application, return a 200 OK
response from your HTTP handler.
Rejecting an event
In order to tell Dapr that the event wasn't processed correctly in your application and schedule it for redelivery, return any response different from 200 OK
. For example, a 500 Error
.
Specifying 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:
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
- [Bindings building block]({{< ref bindings >}})
- [Bindings API]({{< ref bindings_api.md >}})
- [Components concept]({{< ref components-concept.md >}})
- [Supported bindings]({{< ref supported-bindings >}})