docs/daprdocs/content/en/developing-applications/building-blocks/bindings/howto-bindings.md

type	title	linkTitle	description	weight
docs	How-To: Use output bindings to interface with external resources	How-To: Output bindings	Invoke external systems with output bindings	300

With output bindings, you can invoke external resources. An optional payload and metadata can be sent with the invocation request.

This guide uses a Kafka binding as an example. You can find your preferred binding spec from [the list of bindings components]({{< ref setup-bindings >}}). In this guide:

1. The example invokes the /binding endpoint with checkout, the name of the binding to invoke.
2. The payload goes inside the mandatory data field, and can be any JSON serializable value.
3. The operation field tells the binding what action it needs to take. For example, [the Kafka binding supports the create operation]({{< ref "kafka.md#binding-support" >}}).
   • You can check [which operations (specific to each component) are supported for every output binding]({{< ref supported-bindings >}}).

{{% alert title="Note" color="primary" %}} If you haven't already, [try out the bindings quickstart]({{< ref bindings-quickstart.md >}}) for a quick walk-through on how to use the bindings API.

{{% /alert %}}

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

{{< tabs "Self-Hosted (CLI)" Kubernetes >}}

{{% codetab %}}

Use the --components-path flag with dapr run to point to your custom components 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"

{{% /codetab %}}

{{% codetab %}}

To deploy the following binding.yaml file 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"

{{% /codetab %}}

{{< /tabs >}}

Send an event (output binding)

The code examples below leverage Dapr SDKs to invoke the output bindings endpoint on a running Dapr instance.

{{< tabs Dotnet Java Python Go JavaScript>}}

{{% codetab %}}

//dependencies
using System;
using System.Collections.Generic;
using System.Net.Http;
using System.Net.Http.Headers;
using System.Threading.Tasks;
using Dapr.Client;
using Microsoft.AspNetCore.Mvc;
using System.Threading;

//code
namespace EventService
{
    class Program
    {
        static async Task Main(string[] args)
        {
            string BINDING_NAME = "checkout";
            string BINDING_OPERATION = "create";
            while(true)
            {
                System.Threading.Thread.Sleep(5000);
                Random random = new Random();
                int orderId = random.Next(1,1000);
                using var client = new DaprClientBuilder().Build();
                //Using Dapr SDK to invoke output binding
                await client.InvokeBindingAsync(BINDING_NAME, BINDING_OPERATION, orderId);
                Console.WriteLine("Sending message: " + orderId);
            }
        }
    }
}

{{% /codetab %}}

{{% codetab %}}

//dependencies
import io.dapr.client.DaprClient;
import io.dapr.client.DaprClientBuilder;
import io.dapr.client.domain.HttpExtension;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.Random;
import java.util.concurrent.TimeUnit;

//code
@SpringBootApplication
public class OrderProcessingServiceApplication {

	private static final Logger log = LoggerFactory.getLogger(OrderProcessingServiceApplication.class);

	public static void main(String[] args) throws InterruptedException{
		String BINDING_NAME = "checkout";
		String BINDING_OPERATION = "create";
		while(true) {
			TimeUnit.MILLISECONDS.sleep(5000);
			Random random = new Random();
			int orderId = random.nextInt(1000-1) + 1;
			DaprClient client = new DaprClientBuilder().build();
          //Using Dapr SDK to invoke output binding
			client.invokeBinding(BINDING_NAME, BINDING_OPERATION, orderId).block();
			log.info("Sending message: " + orderId);
		}
	}
}

{{% /codetab %}}

{{% codetab %}}

#dependencies
import random
from time import sleep    
import requests
import logging
import json
from dapr.clients import DaprClient

#code
logging.basicConfig(level = logging.INFO)
BINDING_NAME = 'checkout'
BINDING_OPERATION = 'create' 
while True:
    sleep(random.randrange(50, 5000) / 1000)
    orderId = random.randint(1, 1000)
    with DaprClient() as client:
        #Using Dapr SDK to invoke output binding
        resp = client.invoke_binding(BINDING_NAME, BINDING_OPERATION, json.dumps(orderId))
    logging.basicConfig(level = logging.INFO)
    logging.info('Sending message: ' + str(orderId))
    

{{% /codetab %}}

{{% codetab %}}

//dependencies
import (
	"context"
	"log"
	"math/rand"
	"time"
	"strconv"
	dapr "github.com/dapr/go-sdk/client"

)

//code
func main() {
	BINDING_NAME := "checkout";
	BINDING_OPERATION := "create";
	for i := 0; i < 10; i++ {
		time.Sleep(5000)
		orderId := rand.Intn(1000-1) + 1
		client, err := dapr.NewClient()
		if err != nil {
			panic(err)
		}
		defer client.Close()
		ctx := context.Background()
        //Using Dapr SDK to invoke output binding
		in := &dapr.InvokeBindingRequest{ Name: BINDING_NAME, Operation: BINDING_OPERATION , Data: []byte(strconv.Itoa(orderId))}
		err = client.InvokeOutputBinding(ctx, in)
		log.Println("Sending message: " + strconv.Itoa(orderId))
	}
}
    

{{% /codetab %}}

{{% codetab %}}

//dependencies
import { DaprClient, CommunicationProtocolEnum } from "dapr-client";

//code
const daprHost = "127.0.0.1";

(async function () {
    for (var i = 0; i < 10; i++) {
        await sleep(2000);
        const orderId = Math.floor(Math.random() * (1000 - 1) + 1);
        try {
            await sendOrder(orderId)
        } catch (err) {
            console.error(e);
            process.exit(1);
        }
    }
})();

async function sendOrder(orderId) {
    const BINDING_NAME = "checkout";
    const BINDING_OPERATION = "create";
    const client = new DaprClient(daprHost, process.env.DAPR_HTTP_PORT, CommunicationProtocolEnum.HTTP);
    //Using Dapr SDK to invoke output binding
    const result = await client.binding.send(BINDING_NAME, BINDING_OPERATION, orderId);
    console.log("Sending message: " + orderId);
}

function sleep(ms) {
    return new Promise(resolve => setTimeout(resolve, ms));
}

{{% /codetab %}}

{{< /tabs >}}

You can also invoke the output bindings endpoint using HTTP:

curl -X POST -H 'Content-Type: application/json' http://localhost:3601/v1.0/bindings/checkout -d '{ "data": 100, "operation": "create" }'

Watch this video on how to use bi-directional output bindings.

References

• [Binding API]({{< ref bindings_api.md >}})
• [Binding components]({{< ref bindings >}})
• [Binding detailed specifications]({{< ref supported-bindings >}})