Knative Kafka provides integration options for you to use supported versions of the Apache Kafka message streaming platform with OpenShift Serverless. Kafka provides options for event source, channel, broker, and event sink capabilities.
Knative Kafka functionality is available in an OpenShift Serverless installation if a cluster administrator has installed the KnativeKafka
custom resource.
Knative Kafka is not currently supported for IBM Z and IBM Power Systems. |
Knative Kafka provides additional options, such as:
Kafka source
Kafka channel
Kafka broker (Technology Preview)
Kafka sink (Technology Preview)
Using Kafka components in an event-driven architecture provides "at least once" event delivery. This means that operations are retried until a return code value is received. This makes applications more resilient to lost events; however, it might result in duplicate events being sent.
For the Kafka event source, there is a fixed number of retries for event delivery by default. For Kafka channels, retries are only performed if they are configured in the Kafka channel Delivery
spec.
See the Event delivery documentation for more information about delivery guarantees.
You can create a Kafka source that reads events from an Apache Kafka cluster and passes these events to a sink. You can create a Kafka source by using the OpenShift Container Platform web console, the Knative (kn
) CLI, or by creating a KafkaSource
object directly as a YAML file and using the OpenShift CLI (oc
) to apply it.
After Knative Kafka is installed on your cluster, you can create a Kafka source by using the web console. Using the OpenShift Container Platform web console provides a streamlined and intuitive user interface to create a Kafka source.
The OpenShift Serverless Operator, Knative Eventing, and the KnativeKafka
custom resource are installed on your cluster.
You have logged in to the web console.
You have access to a Red Hat AMQ Streams (Kafka) cluster that produces the Kafka messages you want to import.
You have created a project or have access to a project with the appropriate roles and permissions to create applications and other workloads in OpenShift Container Platform.
In the Developer perspective, navigate to the Add page and select Event Source.
In the Event Sources page, select Kafka Source in the Type section.
Configure the Kafka Source settings:
Add a comma-separated list of Bootstrap Servers.
Add a comma-separated list of Topics.
Add a Consumer Group.
Select the service Account Name for the service account that you created.
Select the Sink for the event source. A Sink can be either a Resource, such as a channel, broker, or service, or a URI.
Enter a Name for the Kafka event source.
Click Create.
You can verify that the Kafka event source was created and is connected to the sink by viewing the Topology page.
In the Developer perspective, navigate to Topology.
View the Kafka event source and sink.
You can use the kn source kafka create
command to create a Kafka source by using the Knative (kn
) CLI. Using the Knative CLI to create event sources provides a more streamlined and intuitive user interface than modifying YAML files directly.
The OpenShift Serverless Operator, Knative Eventing, Knative Serving, and the KnativeKafka
custom resource (CR) are installed on your cluster.
You have created a project or have access to a project with the appropriate roles and permissions to create applications and other workloads in OpenShift Container Platform.
You have access to a Red Hat AMQ Streams (Kafka) cluster that produces the Kafka messages you want to import.
You have installed the Knative (kn
) CLI.
Optional: You have installed the OpenShift CLI (oc
) if you want to use the verification steps in this procedure.
To verify that the Kafka event source is working, create a Knative service that dumps incoming events into the service logs:
$ kn service create event-display \
--image quay.io/openshift-knative/knative-eventing-sources-event-display
Create a KafkaSource
CR:
$ kn source kafka create <kafka_source_name> \
--servers <cluster_kafka_bootstrap>.kafka.svc:9092 \
--topics <topic_name> --consumergroup my-consumer-group \
--sink event-display
Replace the placeholder values in this command with values for your source name, bootstrap servers, and topics. |
The --servers
, --topics
, and --consumergroup
options specify the connection parameters to the Kafka cluster. The --consumergroup
option is optional.
Optional: View details about the KafkaSource
CR you created:
$ kn source kafka describe <kafka_source_name>
Name: example-kafka-source
Namespace: kafka
Age: 1h
BootstrapServers: example-cluster-kafka-bootstrap.kafka.svc:9092
Topics: example-topic
ConsumerGroup: example-consumer-group
Sink:
Name: event-display
Namespace: default
Resource: service (serving.knative.dev/v1)
Conditions:
OK TYPE AGE REASON
++ Ready 1h
++ Deployed 1h
++ SinkProvided 1h
Trigger the Kafka instance to send a message to the topic:
$ oc -n kafka run kafka-producer \
-ti --image=quay.io/strimzi/kafka:latest-kafka-2.7.0 --rm=true \
--restart=Never -- bin/kafka-console-producer.sh \
--broker-list <cluster_kafka_bootstrap>:9092 --topic my-topic
Enter the message in the prompt. This command assumes that:
The Kafka cluster is installed in the kafka
namespace.
The KafkaSource
object has been configured to use the my-topic
topic.
Verify that the message arrived by viewing the logs:
$ oc logs $(oc get pod -o name | grep event-display) -c user-container
☁️ cloudevents.Event
Validation: valid
Context Attributes,
specversion: 1.0
type: dev.knative.kafka.event
source: /apis/v1/namespaces/default/kafkasources/example-kafka-source#example-topic
subject: partition:46#0
id: partition:46/offset:0
time: 2021-03-10T11:21:49.4Z
Extensions,
traceparent: 00-161ff3815727d8755848ec01c866d1cd-7ff3916c44334678-00
Data,
Hello!
When you create an event source by using the Knative (kn
) CLI, you can specify a sink where events are sent to from that resource by using the --sink
flag. The sink can be any addressable or callable resource that can receive incoming events from other resources.
The following example creates a sink binding that uses a service, http://event-display.svc.cluster.local
, as the sink:
$ kn source binding create bind-heartbeat \
--namespace sinkbinding-example \
--subject "Job:batch/v1:app=heartbeat-cron" \
--sink http://event-display.svc.cluster.local \ (1)
--ce-override "sink=bound"
1 | svc in http://event-display.svc.cluster.local determines that the sink is a Knative service. Other default sink prefixes include channel , and broker . |
Creating Knative resources by using YAML files uses a declarative API, which enables you to describe applications declaratively and in a reproducible manner. To create a Kafka source by using YAML, you must create a YAML file that defines a KafkaSource
object, then apply it by using the oc apply
command.
The OpenShift Serverless Operator, Knative Eventing, and the KnativeKafka
custom resource are installed on your cluster.
You have created a project or have access to a project with the appropriate roles and permissions to create applications and other workloads in OpenShift Container Platform.
You have access to a Red Hat AMQ Streams (Kafka) cluster that produces the Kafka messages you want to import.
Install the OpenShift CLI (oc
).
Create a KafkaSource
object as a YAML file:
apiVersion: sources.knative.dev/v1beta1
kind: KafkaSource
metadata:
name: <source_name>
spec:
consumerGroup: <group_name> (1)
bootstrapServers:
- <list_of_bootstrap_servers>
topics:
- <list_of_topics> (2)
sink:
- <list_of_sinks> (3)
1 | A consumer group is a group of consumers that use the same group ID, and consume data from a topic. |
2 | A topic provides a destination for the storage of data. Each topic is split into one or more partitions. |
3 | A sink specifies where events are sent to from a source. |
Only the |
KafkaSource
objectapiVersion: sources.knative.dev/v1beta1
kind: KafkaSource
metadata:
name: kafka-source
spec:
consumerGroup: knative-group
bootstrapServers:
- my-cluster-kafka-bootstrap.kafka:9092
topics:
- knative-demo-topic
sink:
ref:
apiVersion: serving.knative.dev/v1
kind: service
name: event-display
Apply the KafkaSource
YAML file:
$ oc apply -f <filename>
Verify that the Kafka event source was created by entering the following command:
$ oc get pods
NAME READY STATUS RESTARTS AGE
kafkasource-kafka-source-5ca0248f-... 1/1 Running 0 13m
Kafka broker is a Technology Preview feature only. Technology Preview features are not supported with Red Hat production service level agreements (SLAs) and might not be functionally complete. Red Hat does not recommend using them in production. These features provide early access to upcoming product features, enabling customers to test functionality and provide feedback during the development process. For more information about the support scope of Red Hat Technology Preview features, see https://access.redhat.com/support/offerings/techpreview/. |
For production-ready Knative Eventing deployments, Red Hat recommends using the Knative Kafka broker implementation. The Kafka broker is an Apache Kafka native implementation of the Knative broker, which sends CloudEvents directly to the Kafka instance.
The Federal Information Processing Standards (FIPS) mode is disabled for Kafka broker. |
The Kafka broker has a native integration with Kafka for storing and routing events. This allows better integration with Kafka for the broker and trigger model over other broker types, and reduces network hops. Other benefits of the Kafka broker implementation include:
At-least-once delivery guarantees
Ordered delivery of events, based on the CloudEvents partitioning extension
Control plane high availability
A horizontally scalable data plane
The Knative Kafka broker stores incoming CloudEvents as Kafka records, using the binary content mode. This means that all CloudEvent attributes and extensions are mapped as headers on the Kafka record, while the data
spec of the CloudEvent corresponds to the value of the Kafka record.
For information about using Kafka brokers, see Creating brokers.
Creating Knative resources by using YAML files uses a declarative API, which enables you to describe channels declaratively and in a reproducible manner. You can create a Knative Eventing channel that is backed by Kafka topics by creating a Kafka channel. To create a Kafka channel by using YAML, you must create a YAML file that defines a KafkaChannel
object, then apply it by using the oc apply
command.
The OpenShift Serverless Operator, Knative Eventing, and the KnativeKafka
custom resource are installed on your OpenShift Container Platform cluster.
Install the OpenShift CLI (oc
).
You have created a project or have access to a project with the appropriate roles and permissions to create applications and other workloads in OpenShift Container Platform.
Create a KafkaChannel
object as a YAML file:
apiVersion: messaging.knative.dev/v1beta1
kind: KafkaChannel
metadata:
name: example-channel
namespace: default
spec:
numPartitions: 3
replicationFactor: 1
Only the |
Apply the KafkaChannel
YAML file:
$ oc apply -f <filename>
Kafka sinks are a type of event sink that are available if a cluster administrator has enabled Kafka on your cluster. You can send events directly from an event source to a Kafka topic by using a Kafka sink.
Kafka sink is a Technology Preview feature only. Technology Preview features are not supported with Red Hat production service level agreements (SLAs) and might not be functionally complete. Red Hat does not recommend using them in production. These features provide early access to upcoming product features, enabling customers to test functionality and provide feedback during the development process. For more information about the support scope of Red Hat Technology Preview features, see https://access.redhat.com/support/offerings/techpreview/. |
You can create an event sink called a Kafka sink that sends events to a Kafka topic. Creating Knative resources by using YAML files uses a declarative API, which enables you to describe applications declaratively and in a reproducible manner. To create a Kafka sink by using YAML, you must create a YAML file that defines a KafkaSink
object, then apply it by using the oc apply
command.
The OpenShift Serverless Operator, Knative Eventing, and the KnativeKafka
custom resource (CR) are installed on your cluster.
You have created a project or have access to a project with the appropriate roles and permissions to create applications and other workloads in OpenShift Container Platform.
You have access to a Red Hat AMQ Streams (Kafka) cluster that produces the Kafka messages you want to import.
Install the OpenShift CLI (oc
).
Create a KafkaSink
object definition as a YAML file:
apiVersion: eventing.knative.dev/v1alpha1
kind: KafkaSink
metadata:
name: <sink-name>
namespace: <namespace>
spec:
topic: <topic-name>
bootstrapServers:
- <bootstrap-server>
To create the Kafka sink, apply the KafkaSink
YAML file:
$ oc apply -f <filename>
Configure an event source so that the sink is specified in its spec:
apiVersion: sources.knative.dev/v1alpha2
kind: ApiServerSource
metadata:
name: <source-name> (1)
namespace: <namespace> (2)
spec:
serviceAccountName: <service-account-name> (3)
mode: Resource
resources:
- apiVersion: v1
kind: Event
sink:
ref:
apiVersion: eventing.knative.dev/v1alpha1
kind: KafkaSink
name: <sink-name> (4)
1 | The name of the event source. |
2 | The namespace of the event source. |
3 | The service account for the event source. |
4 | The Kafka sink name. |