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Configure Kafka Topology Cluster
In Kafka topology cluster, broker and controller nodes run separately. In this tutorial, we will see how to configure a topology cluster.
Before You Begin
At first, you need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. If you do not already have a cluster, you can create one by using kind.
Now, install the KubeDB operator in your cluster following the steps here.
To keep things isolated, this tutorial uses a separate namespace called demo throughout this tutorial.
$ kubectl create namespace demo
namespace/demo created
$ kubectl get namespace
NAME STATUS AGE
demo Active 9s
Note: YAML files used in this tutorial are stored in here in GitHub repository kubedb/docs.
Find Available StorageClass
We will have to provide StorageClass in Kafka CR specification. Check available StorageClass in your cluster using the following command,
$ kubectl get storageclass
NAME PROVISIONER RECLAIMPOLICY VOLUMEBINDINGMODE ALLOWVOLUMEEXPANSION AGE
standard (default) rancher.io/local-path Delete WaitForFirstConsumer false 1h
Here, we have standard StorageClass in our cluster from Local Path Provisioner.
Use Custom Configuration
Say we want to change the default log retention time and default replication factor of creating a topic of brokers. Let’s create the broker.properties file with our desire configurations.
broker.properties:
log.retention.hours=100
default.replication.factor=2
and we also want to change the metadata.log.dir of the all controller nodes. Let’s create the controller.properties file with our desire configurations.
controller.properties:
metadata.log.dir=/var/log/kafka/metadata-custom
Let’s create a k8s secret containing the above configuration where the file name will be the key and the file-content as the value:
apiVersion: v1
kind: Secret
metadata:
name: configsecret-topology
namespace: demo
stringData:
broker.properties: |-
log.retention.hours=100
default.replication.factor=2
controller.properties: |-
metadata.log.dir=/var/log/kafka/metadata-custom
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2024.9.30/docs/examples/kafka/configuration/configsecret-topology.yaml
secret/configsecret-topology created
Now that the config secret is created, it needs to be mention in the Kafka object’s yaml:
apiVersion: kubedb.com/v1
kind: Kafka
metadata:
name: kafka-prod
namespace: demo
spec:
version: 3.6.1
configSecret:
name: configsecret-topology
topology:
broker:
replicas: 2
storage:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 1Gi
storageClassName: standard
controller:
replicas: 2
storage:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 1Gi
storageClassName: standard
storageType: Durable
deletionPolicy: WipeOut
Now, create the Kafka object by the following command:
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2024.9.30/docs/examples/kafka/configuration/kafka-topology.yaml
kafka.kubedb.com/kafka-prod created
Now, wait for the Kafka to become ready:
$ kubectl get kf -n demo -w
NAME TYPE VERSION STATUS AGE
kafka-prod kubedb.com/v1 3.6.1 Provisioning 5s
kafka-prod kubedb.com/v1 3.6.1 Provisioning 7s
.
.
kafka-prod kubedb.com/v1 3.6.1 Ready 2m
Verify Configuration
Let’s exec into one of the kafka broker pod that we have created and check the configurations are applied or not:
Exec into the Kafka broker:
$ kubectl exec -it -n demo kafka-prod-broker-0 -- bash
kafka@kafka-prod-broker-0:~$
Now, execute the following commands to see the configurations:
kafka@kafka-prod-broker-0:~$ kafka-configs.sh --bootstrap-server localhost:9092 --command-config /opt/kafka/config/clientauth.properties --describe --entity-type brokers --all | grep log.retention.hours
log.retention.hours=100 sensitive=false synonyms={STATIC_BROKER_CONFIG:log.retention.hours=100, DEFAULT_CONFIG:log.retention.hours=168}
log.retention.hours=100 sensitive=false synonyms={STATIC_BROKER_CONFIG:log.retention.hours=100, DEFAULT_CONFIG:log.retention.hours=168}
kafka@kafka-prod-broker-0:~$ kafka-configs.sh --bootstrap-server localhost:9092 --command-config /opt/kafka/config/clientauth.properties --describe --entity-type brokers --all | grep default.replication.factor
default.replication.factor=2 sensitive=false synonyms={STATIC_BROKER_CONFIG:default.replication.factor=2, DEFAULT_CONFIG:default.replication.factor=1}
default.replication.factor=2 sensitive=false synonyms={STATIC_BROKER_CONFIG:default.replication.factor=2, DEFAULT_CONFIG:default.replication.factor=1}
Here, we can see that our given configuration is applied to the Kafka cluster for all brokers.
Now, let’s exec into one of the kafka controller pod that we have created and check the configurations are applied or not:
Exec into the Kafka controller:
$ kubectl exec -it -n demo kafka-prod-controller-0 -- bash
kafka@kafka-prod-controller-0:~$
Now, execute the following commands to see the metadata storage directory:
kafka@kafka-prod-controller-0:~$ ls /var/log/kafka/
1000 cluster_id metadata-custom
Here, we can see that our given configuration is applied to the controller. Metadata log directory is changed to /var/log/kafka/metadata-custom.
Cleanup
To cleanup the Kubernetes resources created by this tutorial, run:
$ kubectl delete kf -n demo kafka-dev
$ kubectl delete secret -n demo configsecret-combined
$ kubectl delete namespace demo
Next Steps
- Detail concepts of Kafka object.
- Different Kafka topology clustering modes here.
- Monitor your Kafka database with KubeDB using out-of-the-box Prometheus operator.
- Want to hack on KubeDB? Check our contribution guidelines.