...
Setup Kafka cluster: (This step is optional if you already have a running Kafka cluster).
Create a namespace for Kafka and switch the context to it:
Code Block kubectl create namespace kafka;
Code Block kubectl config set-context --current --namespace=kafka
Add the repository for the Kafka Helm chart to your package manager.
Code Block helm repo add bitnami https://charts.bitnami.com/bitnami
Code Block helm repo update
Deploy the Kafka server using the Helm chart.
The below command deploys Kafka with 2 brokers (replicas).
Code Block helm upgrade --install kafka bitnami/kafka --namespace=kafka --set replicaCount=2
Please notice the output of the command above, it provides critical data that is used for the next steps
Consumers can access Kafka via port 9092 on the following DNS name from within your cluster:
kafka.kafka.svc.cluster.local
The CLIENT listener for Kafka client connections from within your cluster has been configured with the following security settings: SASL authentication
To connect a client to your Kafka:
username="user1"
To get the password execute the command below:(skip % at the end)
Code Block kubectl get secret kafka-user-passwords --namespace kafka \ -o jsonpath='{.data.client-passwords}' | base64 -d | cut -d , -f 1;
Deploy HiveMQ with Kafka extension
Create a namespace for HiveMQ installation and switch the context to it:
Code Block kubectl create namespace hivemq;
Code Block kubectl config set-context --current --namespace=hivemq
Generate hivemq_values.yaml:
Deploy HiveMQ using the HiveMQ Platform and generate the
hivemq_values.yaml
file:Code Block helm show values hivemq/hivemq-platform > hivemq_values.yaml
Configure Kafka extension License:
Follow the specific steps outlined for configuring the HiveMQ and Kafka extension license. Setting Up HiveMQ License for Your HiveMQ Cluster using HiveMQ Platform Operator
Create config.xml for Kafka extension:
Examples of the
config.xml
file are in the extension folder underconf/examples
.Configure the
username
andpassword
for successful authentication to your Kafka cluster.If you have followed our guide to deploy Kafka cluster then use the username as “user1” and password you copied from the step.
Configure the
<mqtt-to-kafka-mappings>
or<kafka-to-mqtt-mappings>
or<kafka-to-mqtt-transformers>
or<mqtt-to-kafka-transformers>
based on your need.Please refer to the example:
Code Block <?xml version="1.0" encoding="UTF-8" ?> <kafka-configuration xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:noNamespaceSchemaLocation="config.xsd"> <kafka-clusters> <kafka-cluster> <id>cluster01</id> <bootstrap-servers>kafka.kafka.svc.cluster.local:9092</bootstrap-servers> <authentication> <scram-sha256> <username>user1</username> <password>here_is_your_password</password> </scram-sha256> </authentication> </kafka-cluster> </kafka-clusters> <mqtt-to-kafka-mappings> <mqtt-to-kafka-mapping> <id>mapping01</id> <cluster-id>cluster01</cluster-id> <mqtt-topic-filters> <mqtt-topic-filter>#</mqtt-topic-filter> </mqtt-topic-filters> <kafka-topic>test</kafka-topic> </mqtt-to-kafka-mapping> </mqtt-to-kafka-mappings> <mqtt-to-kafka-transformers> <mqtt-to-kafka-transformer> <id>hello-world-transformer</id> <cluster-id>cluster01</cluster-id> <mqtt-topic-filters> <mqtt-topic-filter>transform/#</mqtt-topic-filter> </mqtt-topic-filters> <transformer>com.hivemq.extensions.kafka.customizations.helloworld.MqttToKafkaHelloWorldTransformer</transformer> </mqtt-to-kafka-transformer> </mqtt-to-kafka-transformers> <kafka-to-mqtt-mappings> <kafka-to-mqtt-mapping> <id>mapping02</id> <cluster-id>cluster01</cluster-id> <kafka-topics> <kafka-topic>test</kafka-topic> <kafka-topic-pattern>test-(.)*</kafka-topic-pattern> </kafka-topics> </kafka-to-mqtt-mapping> </kafka-to-mqtt-mappings> </kafka-configuration>
Create ConfigMap for Kafka configuration
Code Block language bash kubectl create configmap kafka-config --from-file config.xml -n <namespace>
Create ConfigMap for Kafka transformers, If you are using any transformers then create Configmap to mount these transformer jar files to the extension’s customizations folder.
(Skip this step if you are not using any transformer)Code Block kubectl create configmap kafka-transformers--from-file hivemq-kafka-hello-world-customization-4.25.0 -n <namespace>
Deploy HiveMQ Platform Operator:
Code Block language bash helm install platform-op hivemq/hivemq-platform-operator -n <namespace>
Edit hivemq_values.yaml: Modify the
hivemq_values.yaml
file to enable Kafka extensionConfigure the ConfigMap name created in the previous step. Set
enabled: true
to enable this extension.Code Block ... extensions: - name: hivemq-kafka-extension enabled: true # The Kafka extension supports hot-reload of the configuration. supportsHotReload: true # The ConfigMap name that contains the Kafka extension configuration. configMapName: "kafka-config" # The Secret name that contains request headers for the customization download. requestHeaderSecretName: "" # # The URI to download a customization for the Kafka extension. # customizationUri: ""
if you are using kafka transformers, then to mount them add the following configuration block to hivemq platform values.yaml.(Skip this step if you are not using any transformer)
Code Block ... additionalVolumes: - type: configMap name: kafka-transformer path: /opt/hivemq/extensions/hivemq-kafka-extension/customizations
Deploy HiveMQ:
Code Block helm upgrade --install -f hivemq_values.yaml hivemq hivemq/hivemq-platform -n <namespace>
Check Pod Status:
Verify that all hivemq pods are running.
Code Block kubectl get pods -n <namespace>
Verify Enterprise Kafka Extension Start:
Check the
hivemq.log
to confirm successful extension startup.Code Block kubectl logs <pod name> -n <namespace> | grep -v "kafka
After the successful installation of the Kafka extension, Kafka dashboard is also visible in the HiveMQ Control Center.
Perform Quick Tests:
Utilize the MQTT CLI to conduct quick tests. and verify same in the Kafka dashboard of the Control center.
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