chart

添加chart仓库:

helm repo add incubator http://storage.googleapis.com/kubernetes-charts-incubator

编辑values.yaml

replicas: 3
## https://github.com/confluentinc/cp-docker-images/
image: "confluentinc/cp-kafka"
imageTag: "5.4.2"   
imagePullPolicy: "IfNotPresent"
resources:
   limits:
     cpu: 4000m
     memory: 4500Mi
   requests:
     cpu: 1000m
     memory: 1Gi
kafkaHeapOptions: "-Xmx4G -Xms1G"
priorityClassName: high-priority
persistence:
  enabled: true
  storageClass: "nfs"
  size: "1500Gi"
terminationGracePeriodSeconds: 60
podManagementPolicy: OrderedReady
readinessProbe:
  initialDelaySeconds: 30
  periodSeconds: 10
  timeoutSeconds: 5
  successThreshold: 1
  failureThreshold: 3
zookeeper:
  resources:
    limits:
      cpu: 1000m
      memory: 2Gi
    requests:
      cpu: 100m
      memory: 1Gi
  persistence:
    enabled: true
    storageClass: "nfs"
    size: "1500Gi"

helm部署kafka

kubectl create ns video
helm install --name kafka \
        -f values.yaml \
        incubator/kafka \
        --namespace video

如果报错create Pod kafka-0 in StatefulSet kafka failed error: pods "kafka-0" is forbidden: no PriorityClass with name high-priority was found,找不到high-priority,则创建个

apiVersion: scheduling.k8s.io/v1
kind: PriorityClass
metadata:
  name: high-priority
#value小于一亿的32bit整数,数字越大优先级越高,超过一亿的数字被系统保留,用于指派给系统组件。
value: 100000000
#globalDefault:指示是否应用于全局pod
globalDefault: false
description: "This priority class should be used for test service pods only."

然后将StatefulSet缩放为0再恢复到3
查看kafka版本:

root@kafka-2:/# ls /usr/share/java/kafka | grep kafka
kafka-clients-5.4.2-ccs.jar
kafka-log4j-appender-5.4.2-ccs.jar
kafka-streams-5.4.2-ccs.jar
kafka-streams-examples-5.4.2-ccs.jar
kafka-streams-scala_2.12-5.4.2-ccs.jar
kafka-streams-test-utils-5.4.2-ccs.jar
kafka-tools-5.4.2-ccs.jar
kafka.jar
kafka_2.12-5.4.2-ccs-javadoc.jar
kafka_2.12-5.4.2-ccs-scaladoc.jar
kafka_2.12-5.4.2-ccs-sources.jar
kafka_2.12-5.4.2-ccs-test-sources.jar
kafka_2.12-5.4.2-ccs-test.jar
kafka_2.12-5.4.2-ccs.jar

Scala编译器的版本2.12

简单操作测试:

创建一个testclient

  apiVersion: v1
  kind: Pod
  metadata:
    name: testclient
    namespace: video
  spec:
    containers:
    - name: kafka
      image: confluentinc/cp-kafka:5.4.2
      command:
        - sh
        - -c
        - "exec tail -f /dev/null"

测试:

#list all kafka
kubectl -n video exec testclient -- ./bin/kafka-topics.sh --zookeeper kafka-zookeeper:2181 --list
#create a new topic test1:
kubectl -n video exec testclient -- ./bin/kafka-topics.sh --zookeeper kafka-zookeeper:2181 --topic test1 --create --partitions 1 --replication-fact
#listen for messages on a topic test1:
kubectl -n video exec -ti testclient -- ./bin/kafka-console-consumer.sh --bootstrap-server kafka:9092 --topic test1 --from-beginning
#start an interactive message producer session:
kubectl -n video exec -ti testclient -- ./bin/kafka-console-producer.sh --broker-list kafka-headless:9092 --topic test1

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