// THIS FILE IS AUTOMATICALLY GENERATED: DO NOT EDIT
= image:kamelets/http-source.svg[] HTTP Source

*Provided by: "Apache Software Foundation"*

*Support Level for this Kamelet is: "Preview"*

Periodically fetches an HTTP resource and provides the content as output.

== Configuration Options

The following table summarizes the configuration options available for the `http-source` Kamelet:
[width="100%",cols="2,^2,3,^2,^2,^3",options="header"]
|===
| Property| Name| Description| Type| Default| Example
| *url {empty}* *| URL| The URL to fetch for data| string| | `"https://gist.githubusercontent.com/nicolaferraro/e3c72ace3c751f9f88273896611ce5fe/raw/3b6f54060bacb56b6719b7386a4645cb59ad6cc1/quote.json"`
| contentType| Content Type| The content type accepted for the resource| string| `"application/json"`| 
| period| Period between Updates| The interval between fetches in milliseconds| integer| `10000`| 
|===

NOTE: Fields marked with ({empty}*) are mandatory.

== Usage

This section summarizes how the `http-source` can be used in various contexts.

=== Knative Source

The `http-source` Kamelet can be used as Knative source by binding it to a Knative object.

.http-source-binding.yaml
[source,yaml]
----
apiVersion: camel.apache.org/v1alpha1
kind: KameletBinding
metadata:
  name: http-source-binding
spec:
  source:
    ref:
      kind: Kamelet
      apiVersion: camel.apache.org/v1alpha1
      name: http-source
    properties:
      url: "https://gist.githubusercontent.com/nicolaferraro/e3c72ace3c751f9f88273896611ce5fe/raw/3b6f54060bacb56b6719b7386a4645cb59ad6cc1/quote.json"
  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 `http-source-binding.yaml` file into your hard drive, then configure it according to your needs.

You can run the source using the following command:

[source,shell]
----
kubectl apply -f http-source-binding.yaml
----

==== *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 http-source -p "source.url=https://gist.githubusercontent.com/nicolaferraro/e3c72ace3c751f9f88273896611ce5fe/raw/3b6f54060bacb56b6719b7386a4645cb59ad6cc1/quote.json" channel/mychannel
----

This will create the KameletBinding under the hood and apply it to the current namespace in the cluster.

=== Kafka Source

The `http-source` Kamelet can be used as Kafka source by binding it to a Kafka topic.

.http-source-binding.yaml
[source,yaml]
----
apiVersion: camel.apache.org/v1alpha1
kind: KameletBinding
metadata:
  name: http-source-binding
spec:
  source:
    ref:
      kind: Kamelet
      apiVersion: camel.apache.org/v1alpha1
      name: http-source
    properties:
      url: "https://gist.githubusercontent.com/nicolaferraro/e3c72ace3c751f9f88273896611ce5fe/raw/3b6f54060bacb56b6719b7386a4645cb59ad6cc1/quote.json"
  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 `http-source-binding.yaml` file into your hard drive, then configure it according to your needs.

You can run the source using the following command:

[source,shell]
----
kubectl apply -f http-source-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 http-source -p "source.url=https://gist.githubusercontent.com/nicolaferraro/e3c72ace3c751f9f88273896611ce5fe/raw/3b6f54060bacb56b6719b7386a4645cb59ad6cc1/quote.json" 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.

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