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// THIS FILE IS AUTOMATICALLY GENERATED: DO NOT EDIT
= image:kamelets/is-tombstone-filter-action.svg[] Is Tombstone Filter Action
*Provided by: "Apache Software Foundation"*
*Support Level for this Kamelet is: "Preview"*
Filter based on the presence of body or not
== Configuration Options
The Kamelet does not specify any configuration option.
== Usage
This section summarizes how the `is-tombstone-filter-action` can be used in various contexts.
=== Knative Action
The `is-tombstone-filter-action` Kamelet can be used as intermediate step in a Knative binding.
.is-tombstone-filter-action-binding.yaml
[source,yaml]
----
apiVersion: camel.apache.org/v1alpha1
kind: KameletBinding
metadata:
name: is-tombstone-filter-action-binding
spec:
source:
ref:
kind: Kamelet
apiVersion: camel.apache.org/v1alpha1
name: timer-source
properties:
message: "Hello"
steps:
- ref:
kind: Kamelet
apiVersion: camel.apache.org/v1alpha1
name: is-tombstone-filter-action
sink:
ref:
kind: InMemoryChannel
apiVersion: messaging.knative.dev/v1
name: mychannel
----
Make sure you have xref:latest@camel-k::installation/installation.adoc[Camel K installed] into the Kubernetes cluster you're connected to.
Save the `is-tombstone-filter-action-binding.yaml` file into your hard drive, then configure it according to your needs.
You can run the action using the following command:
[source,shell]
----
kubectl apply -f is-tombstone-filter-action-binding.yaml
----
==== *Dependencies*
The Kamelet needs the following dependencies:
- camel:core
- camel:kamelet
==== *Binding to Knative using the Kamel CLI:*
The procedure described above can be simplified into a single execution of the `kamel bind` command:
[source,shell]
----
kamel bind timer-source?message=Hello --step is-tombstone-filter-action channel:mychannel
----
This will create the KameletBinding under the hood and apply it to the current namespace in the cluster.
=== Kafka Action
The `is-tombstone-filter-action` Kamelet can be used as intermediate step in a Kafka binding.
.is-tombstone-filter-action-binding.yaml
[source,yaml]
----
apiVersion: camel.apache.org/v1alpha1
kind: KameletBinding
metadata:
name: is-tombstone-filter-action-binding
spec:
source:
ref:
kind: Kamelet
apiVersion: camel.apache.org/v1alpha1
name: timer-source
properties:
message: "Hello"
steps:
- ref:
kind: Kamelet
apiVersion: camel.apache.org/v1alpha1
name: is-tombstone-filter-action
sink:
ref:
kind: KafkaTopic
apiVersion: kafka.strimzi.io/v1beta1
name: my-topic
----
Ensure that you've installed https://strimzi.io/[Strimzi] and created a topic named `my-topic` in the current namespace.
Make also sure you have xref:latest@camel-k::installation/installation.adoc[Camel K installed] into the Kubernetes cluster you're connected to.
Save the `is-tombstone-filter-action-binding.yaml` file into your hard drive, then configure it according to your needs.
You can run the action using the following command:
[source,shell]
----
kubectl apply -f is-tombstone-filter-action-binding.yaml
----
==== *Binding to Kafka using the Kamel CLI:*
The procedure described above can be simplified into a single execution of the `kamel bind` command:
[source,shell]
----
kamel bind timer-source?message=Hello --step is-tombstone-filter-action kafka.strimzi.io/v1beta1:KafkaTopic:my-topic
----
This will create the KameletBinding under the hood and apply it to the current namespace in the cluster.
==== Kamelet source file
Have a look at the following link:
https://github.com/apache/camel-kamelets/blob/main/is-tombstone-filter-action.kamelet.yaml
// THIS FILE IS AUTOMATICALLY GENERATED: DO NOT EDIT