Ce contenu n'est pas disponible dans la langue sélectionnée.

Chapter 70. Timer Source


Produces periodic events with a custom payload.

70.1. Configuration Options

The following table summarizes the configuration options available for the timer-source Kamelet:

PropertyNameDescriptionTypeDefaultExample

message *

Message

The message to generate

string

 

"hello world"

contentType

Content Type

The content type of the message being generated

string

"text/plain"

 

period

Period

The interval between two events in milliseconds

integer

1000

 

repeatCount

Repeat Count

Specifies the maximum limit of the number of fires

integer

  
Note

Fields marked with an asterisk (*) are mandatory.

70.2. Dependencies

At runtime, the timer-source Kamelet relies upon the presence of the following dependencies:

  • camel:core
  • camel:timer
  • camel:kamelet

70.3. Usage

This section describes how you can use the timer-source.

70.3.1. Knative Source

You can use the timer-source Kamelet as a Knative source by binding it to a Knative object.

timer-source-binding.yaml

apiVersion: camel.apache.org/v1alpha1
kind: KameletBinding
metadata:
  name: timer-source-binding
spec:
  source:
    ref:
      kind: Kamelet
      apiVersion: camel.apache.org/v1alpha1
      name: timer-source
    properties:
      message: "hello world"
  sink:
    ref:
      kind: Channel
      apiVersion: messaging.knative.dev/v1
      name: mychannel

70.3.1.1. Prerequisite

Make sure you have "Red Hat Integration - Camel K" installed into the OpenShift cluster you’re connected to.

70.3.1.2. Procedure for using the cluster CLI

  1. Save the timer-source-binding.yaml file to your local drive, and then edit it as needed for your configuration.
  2. Run the source by using the following command:

    oc apply -f timer-source-binding.yaml

70.3.1.3. Procedure for using the Kamel CLI

Configure and run the source by using the following command:

kamel bind timer-source -p "source.message=hello world" channel:mychannel

This command creates the KameletBinding in the current namespace on the cluster.

70.3.2. Kafka Source

You can use the timer-source Kamelet as a Kafka source by binding it to a Kafka topic.

timer-source-binding.yaml

apiVersion: camel.apache.org/v1alpha1
kind: KameletBinding
metadata:
  name: timer-source-binding
spec:
  source:
    ref:
      kind: Kamelet
      apiVersion: camel.apache.org/v1alpha1
      name: timer-source
    properties:
      message: "hello world"
  sink:
    ref:
      kind: KafkaTopic
      apiVersion: kafka.strimzi.io/v1beta1
      name: my-topic

70.3.2.1. Prerequisites

Ensure that you’ve installed the AMQ Streams operator in your OpenShift cluster and created a topic named my-topic in the current namespace. Make also sure you have "Red Hat Integration - Camel K" installed into the OpenShift cluster you’re connected to.

70.3.2.2. Procedure for using the cluster CLI

  1. Save the timer-source-binding.yaml file to your local drive, and then edit it as needed for your configuration.
  2. Run the source by using the following command:

    oc apply -f timer-source-binding.yaml

70.3.2.3. Procedure for using the Kamel CLI

Configure and run the source by using the following command:

kamel bind timer-source -p "source.message=hello world" kafka.strimzi.io/v1beta1:KafkaTopic:my-topic

This command creates the KameletBinding in the current namespace on the cluster.

70.4. Kamelet source file

https://github.com/openshift-integration/kamelet-catalog/timer-source.kamelet.yaml

Red Hat logoGithubRedditYoutubeTwitter

Apprendre

Essayez, achetez et vendez

Communautés

À propos de la documentation Red Hat

Nous aidons les utilisateurs de Red Hat à innover et à atteindre leurs objectifs grâce à nos produits et services avec un contenu auquel ils peuvent faire confiance.

Rendre l’open source plus inclusif

Red Hat s'engage à remplacer le langage problématique dans notre code, notre documentation et nos propriétés Web. Pour plus de détails, consultez leBlog Red Hat.

À propos de Red Hat

Nous proposons des solutions renforcées qui facilitent le travail des entreprises sur plusieurs plates-formes et environnements, du centre de données central à la périphérie du réseau.

© 2024 Red Hat, Inc.