Chapter 47. Log Sink A sink that logs all data that it receives, useful for debugging purposes. 47.1. Configuration Options The following table summarizes the configuration options available for the log-sink Kamelet: Property Name Description Type Default Example showHeaders Show Headers Show the headers received boolean false showStreams Show Streams Show the stream bodies (they may not be available in following steps) boolean false Note Fields marked with an asterisk (*) are mandatory. 47.2. Dependencies At runtime, the log-sink Kamelet relies upon the presence of the following dependencies: camel:kamelet camel:log 47.3. Usage This section describes how you can use the log-sink . 47.3.1. Knative Sink You can use the log-sink Kamelet as a Knative sink by binding it to a Knative object. log-sink-binding.yaml apiVersion: camel.apache.org/v1alpha1 kind: KameletBinding metadata: name: log-sink-binding spec: source: ref: kind: Channel apiVersion: messaging.knative.dev/v1 name: mychannel sink: ref: kind: Kamelet apiVersion: camel.apache.org/v1alpha1 name: log-sink 47.3.1.1. Prerequisite Make sure you have "Red Hat Integration - Camel K" installed into the OpenShift cluster you're connected to. 47.3.1.2. Procedure for using the cluster CLI Save the log-sink-binding.yaml file to your local drive, and then edit it as needed for your configuration. Run the sink by using the following command: oc apply -f log-sink-binding.yaml 47.3.1.3. Procedure for using the Kamel CLI Configure and run the sink by using the following command: kamel bind channel:mychannel log-sink This command creates the KameletBinding in the current namespace on the cluster. 47.3.2. Kafka Sink You can use the log-sink Kamelet as a Kafka sink by binding it to a Kafka topic. log-sink-binding.yaml apiVersion: camel.apache.org/v1alpha1 kind: KameletBinding metadata: name: log-sink-binding spec: source: ref: kind: KafkaTopic apiVersion: kafka.strimzi.io/v1beta1 name: my-topic sink: ref: kind: Kamelet apiVersion: camel.apache.org/v1alpha1 name: log-sink 47.3.2.1. 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. 47.3.2.2. Procedure for using the cluster CLI Save the log-sink-binding.yaml file to your local drive, and then edit it as needed for your configuration. Run the sink by using the following command: oc apply -f log-sink-binding.yaml 47.3.2.3. Procedure for using the Kamel CLI Configure and run the sink by using the following command: kamel bind kafka.strimzi.io/v1beta1:KafkaTopic:my-topic log-sink This command creates the KameletBinding in the current namespace on the cluster. 47.4. Kamelet source file https://github.com/openshift-integration/kamelet-catalog/log-sink.kamelet.yaml

Commands:
apiVersion: camel.apache.org/v1alpha1 kind: KameletBinding metadata: name: log-sink-binding spec: source: ref: kind: Channel apiVersion: messaging.knative.dev/v1 name: mychannel sink: ref: kind: Kamelet apiVersion: camel.apache.org/v1alpha1 name: log-sink
apply -f log-sink-binding.yaml
kamel bind channel:mychannel log-sink
apiVersion: camel.apache.org/v1alpha1 kind: KameletBinding metadata: name: log-sink-binding spec: source: ref: kind: KafkaTopic apiVersion: kafka.strimzi.io/v1beta1 name: my-topic sink: ref: kind: Kamelet apiVersion: camel.apache.org/v1alpha1 name: log-sink
apply -f log-sink-binding.yaml
kamel bind kafka.strimzi.io/v1beta1:KafkaTopic:my-topic log-sink