Apache Kafka

Detailed documentation on the Apache Kafka pubsub component

Component format

To set up Apache Kafka pub/sub, create a component of type pubsub.kafka. See the pub/sub broker component file to learn how ConsumerID is automatically generated. Read the How-to: Publish and Subscribe guide on how to create and apply a pub/sub configuration.

All component metadata field values can carry templated metadata values, which are resolved on Dapr sidecar startup. For example, you can choose to use {namespace} as the consumerGroup to enable using the same appId in different namespaces using the same topics as described in this article.

apiVersion: dapr.io/v1alpha1
kind: Component
metadata:
  name: kafka-pubsub
spec:
  type: pubsub.kafka
  version: v1
  metadata:
  - name: brokers # Required. Kafka broker connection setting
    value: "dapr-kafka.myapp.svc.cluster.local:9092"
  - name: consumerGroup # Optional. Used for input bindings.
    value: "{namespace}"
  - name: consumerID # Optional. If not supplied, runtime will create one.
    value: "channel1"
  - name: clientID # Optional. Used as client tracing ID by Kafka brokers.
    value: "my-dapr-app-id"
  - name: authType # Required.
    value: "password"
  - name: saslUsername # Required if authType is `password`.
    value: "adminuser"
  - name: saslPassword # Required if authType is `password`.
    secretKeyRef:
      name: kafka-secrets
      key: saslPasswordSecret
  - name: saslMechanism
    value: "SHA-512"
  - name: maxMessageBytes # Optional.
    value: 1024
  - name: consumeRetryInterval # Optional.
    value: 200ms
  - name: version # Optional.
    value: 2.0.0
  - name: disableTls # Optional. Disable TLS. This is not safe for production!! You should read the `Mutual TLS` section for how to use TLS.
    value: "true"
  - name: schemaRegistryURL # Optional. When using Schema Registry Avro serialization/deserialization. The Schema Registry URL.
    value: http://localhost:8081
  - name: schemaRegistryAPIKey # Optional. When using Schema Registry Avro serialization/deserialization. The Schema Registry API Key.
    value: XYAXXAZ
  - name: schemaRegistryAPISecret # Optional. When using Schema Registry Avro serialization/deserialization. The Schema Registry credentials API Secret.
    value: "ABCDEFGMEADFF"
  - name: schemaCachingEnabled # Optional. When using Schema Registry Avro serialization/deserialization. Enables caching for schemas.
    value: true
  - name: schemaLatestVersionCacheTTL # Optional. When using Schema Registry Avro serialization/deserialization. The TTL for schema caching when publishing a message with latest schema available.
    value: 5m

For details on using secretKeyRef, see the guide on how to reference secrets in components.

Spec metadata fields

The secretKeyRef above is referencing a kubernetes secrets store to access the tls information. Visit here to learn more about how to configure a secret store component.

Note

The metadata version must be set to 1.0.0 when using Azure EventHubs with Kafka.

Authentication

Kafka supports a variety of authentication schemes and Dapr supports several: SASL password, mTLS, OIDC/OAuth2. With the added authentication methods, the authRequired field has been deprecated from the v1.6 release and instead the authType field should be used. If authRequired is set to true, Dapr will attempt to configure authType correctly based on the value of saslPassword. The valid values for authType are:

• none
• password
• certificate
• mtls
• oidc
• awsiam

Note

authType is authentication only. Authorization is still configured within Kafka, except for awsiam, which can also drive authorization decisions configured in AWS IAM.

None

Setting authType to none will disable any authentication. This is NOT recommended in production.

apiVersion: dapr.io/v1alpha1
kind: Component
metadata:
  name: kafka-pubsub-noauth
spec:
  type: pubsub.kafka
  version: v1
  metadata:
  - name: brokers # Required. Kafka broker connection setting
    value: "dapr-kafka.myapp.svc.cluster.local:9092"
  - name: consumerGroup # Optional. Used for input bindings.
    value: "group1"
  - name: clientID # Optional. Used as client tracing ID by Kafka brokers.
    value: "my-dapr-app-id"
  - name: authType # Required.
    value: "none"
  - name: maxMessageBytes # Optional.
    value: 1024
  - name: consumeRetryInterval # Optional.
    value: 200ms
  - name: version # Optional.
    value: 0.10.2.0
  - name: disableTls
    value: "true"

SASL Password

Setting authType to password enables SASL authentication. This requires setting the saslUsername and saslPassword fields.

apiVersion: dapr.io/v1alpha1
kind: Component
metadata:
  name: kafka-pubsub-sasl
spec:
  type: pubsub.kafka
  version: v1
  metadata:
  - name: brokers # Required. Kafka broker connection setting
    value: "dapr-kafka.myapp.svc.cluster.local:9092"
  - name: consumerGroup # Optional. Used for input bindings.
    value: "group1"
  - name: clientID # Optional. Used as client tracing ID by Kafka brokers.
    value: "my-dapr-app-id"
  - name: authType # Required.
    value: "password"
  - name: saslUsername # Required if authType is `password`.
    value: "adminuser"
  - name: saslPassword # Required if authType is `password`.
    secretKeyRef:
      name: kafka-secrets
      key: saslPasswordSecret
  - name: saslMechanism
    value: "SHA-512"
  - name: maxMessageBytes # Optional.
    value: 1024
  - name: consumeRetryInterval # Optional.
    value: 200ms
  - name: version # Optional.
    value: 0.10.2.0
  - name: caCert
    secretKeyRef:
      name: kafka-tls
      key: caCert

Mutual TLS

Setting authType to mtls uses a x509 client certificate (the clientCert field) and key (the clientKey field) to authenticate. Note that mTLS as an authentication mechanism is distinct from using TLS to secure the transport layer via encryption. mTLS requires TLS transport (meaning disableTls must be false), but securing the transport layer does not require using mTLS. See Communication using TLS for configuring underlying TLS transport.

apiVersion: dapr.io/v1alpha1
kind: Component
metadata:
  name: kafka-pubsub-mtls
spec:
  type: pubsub.kafka
  version: v1
  metadata:
  - name: brokers # Required. Kafka broker connection setting
    value: "dapr-kafka.myapp.svc.cluster.local:9092"
  - name: consumerGroup # Optional. Used for input bindings.
    value: "group1"
  - name: clientID # Optional. Used as client tracing ID by Kafka brokers.
    value: "my-dapr-app-id"
  - name: authType # Required.
    value: "mtls"
  - name: caCert
    secretKeyRef:
      name: kafka-tls
      key: caCert
  - name: clientCert
    secretKeyRef:
      name: kafka-tls
      key: clientCert
  - name: clientKey
    secretKeyRef:
      name: kafka-tls
      key: clientKey
  - name: maxMessageBytes # Optional.
    value: 1024
  - name: consumeRetryInterval # Optional.
    value: 200ms
  - name: version # Optional.
    value: 0.10.2.0

OAuth2 or OpenID Connect

Setting authType to oidc enables SASL authentication via the OAUTHBEARER mechanism. This supports specifying a bearer token from an external OAuth2 or OIDC identity provider. Currently, only the client_credentials grant is supported.

Configure oidcTokenEndpoint to the full URL for the identity provider access token endpoint.

Set oidcClientID and oidcClientSecret to the client credentials provisioned in the identity provider.

If caCert is specified in the component configuration, the certificate is appended to the system CA trust for verifying the identity provider certificate. Similarly, if skipVerify is specified in the component configuration, verification will also be skipped when accessing the identity provider.

By default, the only scope requested for the token is openid; it is highly recommended that additional scopes be specified via oidcScopes in a comma-separated list and validated by the Kafka broker. If additional scopes are not used to narrow the validity of the access token, a compromised Kafka broker could replay the token to access other services as the Dapr clientID.

apiVersion: dapr.io/v1alpha1
kind: Component
metadata:
  name: kafka-pubsub
spec:
  type: pubsub.kafka
  version: v1
  metadata:
  - name: brokers # Required. Kafka broker connection setting
    value: "dapr-kafka.myapp.svc.cluster.local:9092"
  - name: consumerGroup # Optional. Used for input bindings.
    value: "group1"
  - name: clientID # Optional. Used as client tracing ID by Kafka brokers.
    value: "my-dapr-app-id"
  - name: authType # Required.
    value: "oidc"
  - name: oidcTokenEndpoint # Required if authType is `oidc`.
    value: "https://identity.example.com/v1/token"
  - name: oidcClientID      # Required if authType is `oidc`.
    value: "dapr-myapp"
  - name: oidcClientSecret  # Required if authType is `oidc`.
    secretKeyRef:
      name: kafka-secrets
      key: oidcClientSecret
  - name: oidcScopes        # Recommended if authType is `oidc`.
    value: "openid,kafka-dev"
  - name: caCert            # Also applied to verifying OIDC provider certificate
    secretKeyRef:
      name: kafka-tls
      key: caCert
  - name: maxMessageBytes # Optional.
    value: 1024
  - name: consumeRetryInterval # Optional.
    value: 200ms
  - name: version # Optional.
    value: 0.10.2.0

AWS IAM

Authenticating with AWS IAM is supported with MSK. Setting authType to awsiam uses AWS SDK to generate auth tokens to authenticate.

Note

The only required metadata field is awsRegion. If no awsAccessKey and awsSecretKey are provided, you can use AWS IAM roles for service accounts to have password-less authentication to your Kafka cluster.

apiVersion: dapr.io/v1alpha1
kind: Component
metadata:
  name: kafka-pubsub-awsiam
spec:
  type: pubsub.kafka
  version: v1
  metadata:
  - name: brokers # Required. Kafka broker connection setting
    value: "dapr-kafka.myapp.svc.cluster.local:9092"
  - name: consumerGroup # Optional. Used for input bindings.
    value: "group1"
  - name: clientID # Optional. Used as client tracing ID by Kafka brokers.
    value: "my-dapr-app-id"
  - name: authType # Required.
    value: "awsiam"
  - name: awsRegion # Required.
    value: "us-west-1"
  - name: awsAccessKey # Optional.
    value: <AWS_ACCESS_KEY>
  - name: awsSecretKey # Optional.
    value: <AWS_SECRET_KEY>
  - name: awsSessionToken # Optional.
    value: <AWS_SESSION_KEY>
  - name: awsIamRoleArn # Optional.
    value: "arn:aws:iam::123456789:role/mskRole"
  - name: awsStsSessionName # Optional.
    value: "MSKSASLDefaultSession"

Communication using TLS

By default TLS is enabled to secure the transport layer to Kafka. To disable TLS, set disableTls to true. When TLS is enabled, you can control server certificate verification using skipVerify to disable verification (NOT recommended in production environments) and caCert to specify a trusted TLS certificate authority (CA). If no caCert is specified, the system CA trust will be used. To also configure mTLS authentication, see the section under Authentication. Below is an example of a Kafka pubsub component configured to use transport layer TLS:

apiVersion: dapr.io/v1alpha1
kind: Component
metadata:
  name: kafka-pubsub
spec:
  type: pubsub.kafka
  version: v1
  metadata:
  - name: brokers # Required. Kafka broker connection setting
    value: "dapr-kafka.myapp.svc.cluster.local:9092"
  - name: consumerGroup # Optional. Used for input bindings.
    value: "group1"
  - name: clientID # Optional. Used as client tracing ID by Kafka brokers.
    value: "my-dapr-app-id"
  - name: authType # Required.
    value: "certificate"
  - name: consumeRetryInterval # Optional.
    value: 200ms
  - name: version # Optional.
    value: 0.10.2.0
  - name: maxMessageBytes # Optional.
    value: 1024
  - name: caCert # Certificate authority certificate.
    secretKeyRef:
      name: kafka-tls
      key: caCert
auth:
  secretStore: <SECRET_STORE_NAME>

Consuming from multiple topics

When consuming from multiple topics using a single pub/sub component, there is no guarantee about how the consumers in your consumer group are balanced across the topic partitions.

For instance, let’s say you are subscribing to two topics with 10 partitions per topic and you have 20 replicas of your service consuming from the two topics. There is no guarantee that 10 will be assigned to the first topic and 10 to the second topic. Instead, the partitions could be divided unequally, with more than 10 assigned to the first topic and the rest assigned to the second topic.

This can result in idle consumers listening to the first topic and over-extended consumers on the second topic, or vice versa. This same behavior can be observed when using auto-scalers such as HPA or KEDA.

If you run into this particular issue, it is recommended that you configure a single pub/sub component per topic with uniquely defined consumer groups per component. This guarantees that all replicas of your service are fully allocated to the unique consumer group, where each consumer group targets one specific topic.

For example, you may define two Dapr components with the following configuration:

apiVersion: dapr.io/v1alpha1
kind: Component
metadata:
  name: kafka-pubsub-topic-one
spec:
  type: pubsub.kafka
  version: v1
  metadata:
  - name: consumerGroup
    value: "{appID}-topic-one"

apiVersion: dapr.io/v1alpha1
kind: Component
metadata:
  name: kafka-pubsub-topic-two
spec:
  type: pubsub.kafka
  version: v1
  metadata:
  - name: consumerGroup
    value: "{appID}-topic-two"

Sending and receiving multiple messages

Apache Kafka component supports sending and receiving multiple messages in a single operation using the bulk Pub/sub API.

Configuring bulk subscribe

When subscribing to a topic, you can configure bulkSubscribe options. Refer to Subscribing messages in bulk for more details. Learn more about the bulk subscribe API.

Apache Kafka supports the following bulk metadata options:

Per-call metadata fields

Partition Key

When invoking the Kafka pub/sub, its possible to provide an optional partition key by using the metadata query param in the request url.

The param name is partitionKey.

Example:

curl -X POST http://localhost:3500/v1.0/publish/myKafka/myTopic?metadata.partitionKey=key1 \
  -H "Content-Type: application/json" \
  -d '{
        "data": {
          "message": "Hi"
        }
      }'

Message headers

All other metadata key/value pairs (that are not partitionKey) are set as headers in the Kafka message. Here is an example setting a correlationId for the message.

curl -X POST http://localhost:3500/v1.0/publish/myKafka/myTopic?metadata.correlationId=myCorrelationID&metadata.partitionKey=key1 \
  -H "Content-Type: application/json" \
  -d '{
        "data": {
          "message": "Hi"
        }
      }'

Avro Schema Registry serialization/deserialization

You can configure pub/sub to publish or consume data encoded using Avro binary serialization, leveraging an Apache Schema Registry (for example, Confluent Schema Registry, Apicurio).

Configuration

Important

Currently, only message value serialization/deserialization is supported. Since cloud events are not supported, the rawPayload=true metadata must be passed.

When configuring the Kafka pub/sub component metadata, you must define:

• The schema registry URL
• The API key/secret, if applicable

Schema subjects are automatically derived from topic names, using the standard naming convention. For example, for a topic named my-topic, the schema subject will be my-topic-value. When interacting with the message payload within the service, it is in JSON format. The payload is transparently serialized/deserialized within the Dapr component. Date/Datetime fields must be passed as their Epoch Unix timestamp equivalent (rather than typical Iso8601). 例如：

• 2024-01-10T04:36:05.986Z should be passed as 1704861365986 (the number of milliseconds since Jan 1st, 1970)
• 2024-01-10 should be passed as 19732 (the number of days since Jan 1st, 1970)

Publishing Avro messages

In order to indicate to the Kafka pub/sub component that the message should be using Avro serialization, the valueSchemaType metadata must be set to Avro.

• curl
• Python SDK

curl -X "POST" http://localhost:3500/v1.0/publish/pubsub/my-topic?metadata.rawPayload=true&metadata.valueSchemaType=Avro -H "Content-Type: application/json" -d '{"order_number": "345", "created_date": 1704861365986}'

from dapr.clients import DaprClient
with DaprClient() as d:
    req_data = {
        'order_number': '345',
        'created_date': 1704861365986
    }
    # Create a typed message with content type and body
    resp = d.publish_event(
        pubsub_name='pubsub',
        topic_name='my-topic',
        data=json.dumps(req_data),
        publish_metadata={'rawPayload': 'true', 'valueSchemaType': 'Avro'}
    )
    # Print the request
    print(req_data, flush=True)

Subscribing to Avro topics

In order to indicate to the Kafka pub/sub component that the message should be deserialized using Avro, the valueSchemaType metadata must be set to Avro in the subscription metadata.

• Python (FastAPI)

from fastapi import APIRouter, Body, Response, status
import json
import sys
app = FastAPI()
router = APIRouter()
@router.get('/dapr/subscribe')
def subscribe():
    subscriptions = [{'pubsubname': 'pubsub',
                      'topic': 'my-topic',
                      'route': 'my_topic_subscriber',
                      'metadata': {
                          'rawPayload': 'true',
                          'valueSchemaType': 'Avro',
                      } }]
    return subscriptions
@router.post('/my_topic_subscriber')
def my_topic_subscriber(event_data=Body()):
    print(event_data, flush=True)
      return Response(status_code=status.HTTP_200_OK)
app.include_router(router)

Create a Kafka instance

• Self-Hosted
• Kubernetes

You can run Kafka locally using this Docker image. To run without Docker, see the getting started guide here.

To run Kafka on Kubernetes, you can use any Kafka operator, such as Strimzi.

Related links

• Basic schema for a Dapr component
• Read this guide for instructions on configuring pub/sub components
• Pub/Sub building block