helm部署Kafka集群

标签：-- strimzi kafka cluster 集群 helm Kafka my

生产环境推荐的kafka部署方式为operator方式部署，Strimzi是目前最主流的operator方案。集群数据量较小的话，可以采用NFS共享存储，数据量较大的话可使用local pv存储。

部署operator

[root@k8s-master31 01-kafka]# helm repo add strimzi https://strimzi.io/charts/
"strimzi" has been added to your repositories
[root@k8s-master31 01-kafka]# helm install strimzi -n kafka strimzi/strimzi-kafka-operator
NAME: strimzi
LAST DEPLOYED: Fri Aug  2 11:17:49 2024
NAMESPACE: kafka
STATUS: deployed
REVISION: 1
TEST SUITE: None
NOTES:
Thank you for installing strimzi-kafka-operator-0.42.0

To create a Kafka cluster refer to the following documentation.

https://strimzi.io/docs/operators/latest/deploying.html#deploying-cluster-operator-helm-chart-str
[root@k8s-master31 01-kafka]# kubectl get pod -n kafka
NAME                                       READY   STATUS    RESTARTS   AGE
strimzi-cluster-operator-bc8c67c48-7s4gf   1/1     Running   0          7m39s
[root@k8s-master31 01-kafka]# helm -n kafka list
NAME    NAMESPACE       REVISION        UPDATED                                 STATUS          CHART                           APP VERSI
strimzi kafka           1               2024-08-02 11:17:49.681761827 +0800 CST deployed        strimzi-kafka-operator-0.42.0   0.42.0

创建 Kafka 集群

Strimzi官方仓库为我们提供了各种场景下的示例文件，资源清单下载地址：https://github.com/strimzi/strimzi-kafka-operator/releases

kafka-persistent.yaml:部署具有三个 ZooKeeper 和三个 Kafka 节点的持久集群。（推荐）
kafka-jbod.yaml:部署具有三个 ZooKeeper 和三个 Kafka 节点（每个节点使用多个持久卷）的持久集群。
kafka-persistent-single.yaml:部署具有单个 ZooKeeper 节点和单个 Kafka 节点的持久集群。
kafka-ephemeral.yaml:部署具有三个 ZooKeeper 和三个 Kafka 节点的临时群集。
kafka-ephemeral-single.yaml:部署具有三个 ZooKeeper 节点和一个 Kafka 节点的临时群集。

[root@k8s-master31 01-kafka]# wget https://github.com/strimzi/strimzi-kafka-operator/releases/download/0.42.0/strimzi-0.42.0.tar.gz
[root@k8s-master31 01-kafka]# tar xf strimzi-0.42.0.tar.gz
[root@k8s-master31 01-kafka]# cd strimzi-0.42.0/examples/kafka/
[root@k8s-master31 kafka]# ls
kafka-ephemeral-single.yaml  kafka-ephemeral.yaml  kafka-jbod.yaml  kafka-persistent-single.yaml  kafka-persistent.yaml  kafka-with-node-pools.yaml kraft

创建 pvc

此处以nfs存储为例，提前创建pvc资源，分别用于3个zookeeper和3个kafka持久化存储数据使用。

[root@tiaoban kafka]# cat kafka-pvc.yaml
kind: PersistentVolumeClaim
apiVersion: v1
metadata:
  name: data-my-cluster-zookeeper-0
  namespace: kafka
spec:
  storageClassName: nfs-client
  accessModes:
    - ReadWriteOnce
  resources:
    requests:
      storage: 100Gi
---
kind: PersistentVolumeClaim
apiVersion: v1
metadata:
  name: data-my-cluster-zookeeper-1
  namespace: kafka
spec:
  storageClassName: nfs-client
  accessModes:
    - ReadWriteOnce
  resources:
    requests:
      storage: 100Gi
---
kind: PersistentVolumeClaim
apiVersion: v1
metadata:
  name: data-my-cluster-zookeeper-2
  namespace: kafka
spec:
  storageClassName: nfs-client
  accessModes:
    - ReadWriteOnce
  resources:
    requests:
      storage: 100Gi
---
kind: PersistentVolumeClaim
apiVersion: v1
metadata:
  name: data-0-my-cluster-kafka-0
  namespace: kafka
spec:
  storageClassName: nfs-client
  accessModes:
    - ReadWriteOnce
  resources:
    requests:
      storage: 100Gi
---
kind: PersistentVolumeClaim
apiVersion: v1
metadata:
  name: data-0-my-cluster-kafka-1
  namespace: kafka
spec:
  storageClassName: nfs-client
  accessModes:
    - ReadWriteOnce
  resources:
    requests:
      storage: 100Gi
---
kind: PersistentVolumeClaim
apiVersion: v1
metadata:
  name: data-0-my-cluster-kafka-2
  namespace: kafka
spec:
  storageClassName: nfs-client
  accessModes:
    - ReadWriteOnce
  resources:
    requests:
      storage: 100Gi

部署kafka和zookeeper

参考官方仓库的kafka-persistent.yaml示例文件，部署三个 ZooKeeper 和三个 Kafka 节点的持久集群。

apiVersion: kafka.strimzi.io/v1beta2  # API版本，指定使用Strimzi Kafka Operator的v1beta2版本
kind: Kafka  # 资源类型为Kafka
metadata:
  name: my-cluster  # Kafka集群的名称
spec:  # Kafka集群的规范
  kafka:  # Kafka集群的配置
    version: 3.7.1  # Kafka的版本
    replicas: 3  # Kafka的副本数量
    listeners:  # Kafka监听器配置
      - name: plain  # 监听器名称为plain
        port: 9092  # 监听器端口为9092
        type: internal  # 监听器类型为内部
        tls: false  # 是否启用TLS（传输层安全性），此处为false
      - name: tls  # 监听器名称为tls
        port: 9093  # 监听器端口为9093
        type: internal  # 监听器类型为内部
        tls: true  # 是否启用TLS，此处为true
    config:  # Kafka的配置
      offsets.topic.replication.factor: 3  # offsets主题的副本因子
      transaction.state.log.replication.factor: 3  # 事务状态日志的副本因子
      transaction.state.log.min.isr: 2  # 事务状态日志的最小同步副本数
      default.replication.factor: 3  # 默认副本因子
      min.insync.replicas: 2  # 最小同步副本数
      inter.broker.protocol.version: "3.7"  # Kafka代理间的协议版本
    storage:  # Kafka存储配置
      type: jbod  # 存储类型为JBOD（Just a Bunch of Disks）
      volumes:  # 存储卷配置
      - id: 0  # 存储卷ID
        type: persistent-claim  # 存储卷类型为持久化声明
        size: 100Gi  # 存储卷大小为100Gi
        deleteClaim: false  # 是否在删除Kafka集群时删除存储声明，此处为false
  zookeeper:  # Zookeeper的配置
    replicas: 3  # Zookeeper的副本数量
    storage:  # Zookeeper存储配置
      type: persistent-claim  # 存储类型为持久化声明
      size: 100Gi  # 存储大小为100Gi
      deleteClaim: false  # 是否在删除Zookeeper集群时删除存储声明，此处为false
  entityOperator:  # 实体操作器的配置
    topicOperator: {}  # 主题操作器的配置（空表示启用默认配置）
    userOperator: {}  # 用户操作器的配置（空表示启用默认配置）

访问验证

[root@k8s-master31 kafka]#  kubectl get pod -n kafka
NAME                                          READY   STATUS    RESTARTS   AGE
kafka-ui-dcfdd54c8-q45g5                      1/1     Running   0          50m
my-cluster-entity-operator-86f6555b5b-hkkfk   2/2     Running   0          57m
my-cluster-kafka-0                            1/1     Running   0          57m
my-cluster-kafka-1                            1/1     Running   0          57m
my-cluster-kafka-2                            1/1     Running   0          57m
my-cluster-zookeeper-0                        1/1     Running   0          59m
my-cluster-zookeeper-1                        1/1     Running   0          59m
my-cluster-zookeeper-2                        1/1     Running   0          59m
strimzi-cluster-operator-bc8c67c48-p6ztc      1/1     Running   0          4h24m
[root@k8s-master31 kafka]#
[root@k8s-master31 kafka]#  kubectl get svc -n kafka
NAME                          TYPE        CLUSTER-IP        EXTERNAL-IP   PORT(S)                                        AGE
my-cluster-kafka-bootstrap    ClusterIP   172.101.111.112   <none>        9091/TCP,9092/TCP,9093/TCP                     58m
my-cluster-kafka-brokers      ClusterIP   None              <none>        9090/TCP,9091/TCP,8443/TCP,9092/TCP,9093/TCP   58m
my-cluster-zookeeper-client   ClusterIP   172.105.10.29     <none>        2181/TCP                                       60m
my-cluster-zookeeper-nodes    ClusterIP   None              <none>        2181/TCP,2888/TCP,3888/TCP                     60m
[root@k8s-master31 kafka]#

部署kafka-ui

:::info
官网: https://docs.kafka-ui.provectus.io/configuration/helm-charts/quick-start
:::

# 添加helm仓库地址
helm repo add kafka-ui https://provectus.github.io/kafka-ui-charts

创建configmap资源，在configmap中指定kafka连接地址

[root@tiaoban kafka]# cat kafka-ui.yaml 
apiVersion: v1
kind: ConfigMap
metadata:
  name: kafka-ui-helm-values
  namespace: kafka
data:
  KAFKA_CLUSTERS_0_NAME: "kafka-cluster"
  KAFKA_CLUSTERS_0_BOOTSTRAPSERVERS: "my-cluster-kafka-brokers.kafka.svc:9092"
  AUTH_TYPE: "DISABLED"
  MANAGEMENT_HEALTH_LDAP_ENABLED: "FALSE"

创建 configmap

[root@tiaoban kafka]# kubectl apply -f kafka-ui.yaml 
configmap/kafka-ui-helm-values created

helm方式部署kafka-ui并指定 configmap 配置文件

[root@k8s-master31 kafka]# helm install kafka-ui kafka-ui/kafka-ui -n kafka --set existingConfigMap="kafka-ui-helm-values"
NAME: kafka-ui
LAST DEPLOYED: Fri Aug  2 15:01:32 2024
NAMESPACE: kafka
STATUS: deployed
REVISION: 1
TEST SUITE: None
NOTES:
1. Get the application URL by running these commands:
  export POD_NAME=$(kubectl get pods --namespace kafka -l "app.kubernetes.io/name=kafka-ui,app.kubernetes.io/instance=kafka-ui" -o jsonpath="{.items[0].metadata.name}")
  echo "Visit http://127.0.0.1:8080 to use your application"
  kubectl --namespace kafka port-forward $POD_NAME 8080:8080
# 端口映射
[root@k8s-master31 kafka]# kubectl --namespace kafka port-forward --address 0.0.0.0 $POD_NAME 8080:8080
Forwarding from 0.0.0.0:8080 -> 8080

测试

要创建一个可以用作 Kafka 客户端的 Pod，请运行以下命令：

kubectl run kafka-cluster-client --restart='Never' --image bitnami/kafka:3.4.1 --namespace kafka --command -- sleep infinity

#进入容器
kubectl exec --tty -i kafka-cluster-client --namespace kafka -- bash

# 启动生产者
kafka-console-producer.sh \
            --broker-list my-cluster-kafka-brokers.kafka.svc:9092 \
            --topic test

# 启动消费者
kafka-console-consumer.sh \
            --bootstrap-server my-cluster-kafka-brokers.kafka.svc:9092 \
            --topic test \
            --from-beginning

浏览器访问 ip:8080

标签：--,strimzi,kafka,cluster,集群,helm,Kafka,my
From： https://www.cnblogs.com/boradviews/p/18339255