Event registry
Before you begin
- Read about the and Trigger objects.
- Be familiar with the , particularly the Context Attributes section.
- Be familiar with .
Using the registry, you can discover different types of events that can be consumed by broker event meshes. The registry is designed for use with the broker and trigger model, and aims to help you create triggers.
To see event types in the registry that are available to subscribe to, enter the following command:
The following example shows the output of executing the command using the default
namespace in a testing cluster. We will address the question of how this registry was populated in a later section.
NAME TYPE SOURCE SCHEMA BROKER DESCRIPTION READY REASON
dev.knative.source.github.push-34cnb dev.knative.source.github.push https://github.com/knative/eventing default True
dev.knative.source.github.push-44svn dev.knative.source.github.push https://github.com/knative/serving default True
dev.knative.source.github.pullrequest-86jhv dev.knative.source.github.pull_request https://github.com/knative/eventing default True
dev.knative.source.github.pullrequest-97shf dev.knative.source.github.pull_request https://github.com/knative/serving default True
dev.knative.kafka.event-cjvcr dev.knative.kafka.event /apis/v1/namespaces/default/kafkasources/kafka-sample#news default True
dev.knative.kafka.event-tdt48 dev.knative.kafka.event /apis/v1/namespaces/default/kafkasources/kafka-sample#knative-demo default True
google.pubsub.topic.publish-hrxhh google.pubsub.topic.publish //pubsub.googleapis.com/knative/topics/testing dev False BrokerIsNotReady
NOTE: This assumes that the event sources emitting the events reference a broker as their sink.
There are seven different EventType objects in the registry of the default
namespace.
Use the following command to see an example of what the YAML for an EventType object looks like:
kubectl get eventtype dev.knative.source.github.push-34cnb -o yaml
Omitting irrelevant fields:
From a consumer standpoint, the fields that matter the most are the spec
fields as well as the status
.
The name
is advisory (i.e., non-authoritative), and we typically generate it (generateName
) to avoid naming collisions (e.g., two EventTypes listening to pull requests on two different Github repositories). As name
nor generateName
are needed for consumers to create Triggers, we defer their discussion for later on.
Let’s talk in more details about the spec
fields:
type
: is authoritative. This refers to the CloudEvent type as it enters into the event mesh. It is mandatory. Event consumers can (and in most cases would) create Triggers filtering on this attribute.source
: refers to the CloudEvent source as it enters into the event mesh. It is mandatory. Event consumers can (and in most cases would) create Triggers filtering on this attribute.schema
: is a valid URI with the EventType schema. It may be a JSON schema, a protobuf schema, etc. It is optional.description
: is a string describing what the EventType is about. It is optional.broker
refers to the Broker that can provide the EventType. It is mandatory.
Subscribing to events
Now that you know what events can be consumed from the Brokers’ event meshes, you can create Triggers to subscribe to particular events.
Here are a few example Triggers that subscribe to events using exact matching on type
and/or source
, based on the registry output mentioned earlier:
- Subscribes to GitHub pushes from any source.
apiVersion: eventing.knative.dev/v1
kind: Trigger
metadata:
name: push-trigger
spec:
broker: default
filter:
type: dev.knative.source.github.push
subscriber:
ref:
apiVersion: serving.knative.dev/v1
kind: Service
name: push-service
As per the registry output mentioned, only two sources exist for that particular type of event (knative’s eventing and serving repositories). If later on new sources are registered for GitHub pushes, this trigger will be able to consume them.
- Subscribes to GitHub pull requests from knative’s eventing repository.
apiVersion: eventing.knative.dev/v1
kind: Trigger
metadata:
name: gh-knative-eventing-pull-trigger
namespace: default
spec:
broker: default
filter:
attributes:
type: dev.knative.source.github.pull_request
source: https://github.com/knative/eventing
subscriber:
ref:
apiVersion: serving.knative.dev/v1
kind: Service
name: gh-knative-eventing-pull-service
- Subscribes to Kafka messages sent to the knative-demo topic
- Subscribes to PubSub messages from GCP’s knative project sent to the testing topic
apiVersion: eventing.knative.dev/v1
kind: Trigger
metadata:
name: gcp-pubsub-knative-testing-trigger
namespace: default
broker: dev
attributes:
source: //pubsub.googleapis.com/knative/topics/testing
subscriber:
ref:
apiVersion: serving.knative.dev/v1
kind: Service
name: gcp-pubsub-knative-testing-service
Now that we know how to discover events using the registry and how we can leverage that information to subscribe to events of interest, let’s move on to the next topic: How do we actually populate the registry in the first place?
- Manual Registration
In order to populate the registry, a cluster configurator can manually register the EventTypes. This means that the configurator can simply apply EventTypes yaml files, just as with any other Kubernetes resource:
kubectl apply -f <event_type.yaml>
- Automatic Registration
As Manual Registration might be tedious and error-prone, we also support automatic registration of EventTypes. The creation of the EventTypes is done upon instantiation of an Event Source. We currently support automatic registration of EventTypes for the following Event Sources:
- CronJobSource
- ApiServerSource
- GithubSource
- GcpPubSubSource
- KafkaSource
- AwsSqsSource
Let’s look at an example, in particular, the KafkaSource sample we used to populate the registry in our testing cluster. This is what the YAML looks like:
apiVersion: sources.knative.dev/v1beta1
kind: KafkaSource
metadata:
name: kafka-sample
namespace: default
spec:
bootstrapServers:
- my-cluster-kafka-bootstrap.kafka:9092
topics:
- knative-demo
- news
sink:
apiVersion: eventing.knative.dev/v1
kind: Broker
name: default
If you are interested in more information regarding configuration options of a KafkaSource, please refer to the .
For this discussion, the relevant information from the YAML mentioned are the sink
and the topics
. We observe that the sink
is of kind Broker
. We currently only support automatic creation of EventTypes for Sources instances that point to Brokers. Regarding topics
, this is what we use to generate the EventTypes source
field, which is equal to the CloudEvent source attribute.
When you this yaml, the KafkaSource kafka-source-sample
will be instantiated, and two EventTypes will be added to the registry (as there are two topics). You can see that in the registry example output from the previous sections.