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使用helm在kubernetes上部署kafka

2023年 7月 9日 48.0k 0

1.配置helm chart repo

kafka的helm chart还在孵化当中，使用前需要添加incubator的repo：helm repo add incubator http://storage.googleapis.com/kubernetes-charts-incubator。

肉身在国内需要设置azure提供的镜像库地址:





helm repo add stable http://mirror.azure.cn/kubernetes/charts
helm repo add incubator http://mirror.azure.cn/kubernetes/charts-incubator

helm repo list
NAME     	URL                                               
stable   	http://mirror.azure.cn/kubernetes/charts          
local    	http://127.0.0.1:8879/charts                      
incubator	http://mirror.azure.cn/kubernetes/charts-incubator








2.创建Kafka和Zookeeper的Local PV


2.1 创建Kafka的Local PV


这里的部署环境是本地的测试环境，存储选择Local Persistence Volumes。首先，在k8s集群上创建本地存储的StorageClass local-storage.yaml：












apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
  name: local-storage
provisioner: kubernetes.io/no-provisioner
volumeBindingMode: WaitForFirstConsumer
reclaimPolicy: Retain


















kubectl apply -f local-storage.yaml 
storageclass.storage.k8s.io/local-storage created








这里要在node1、node2这两个k8s节点上部署3个kafka的broker节点，因此先在node1、node2上创建这3个kafka broker节点的Local PV kafka-local-pv.yaml:












apiVersion: v1
kind: PersistentVolume
metadata:
  name: datadir-kafka-0
spec:
  capacity:
    storage: 5Gi 
  accessModes:
  - ReadWriteOnce
  persistentVolumeReclaimPolicy: Retain
  storageClassName: local-storage
  local:
    path: /home/kafka/data-0
  nodeAffinity:
    required:
      nodeSelectorTerms:
      - matchExpressions:
        - key: kubernetes.io/hostname
          operator: In
          values:
          - node1
---
apiVersion: v1
kind: PersistentVolume
metadata:
  name: datadir-kafka-1
spec:
  capacity:
    storage: 5Gi 
  accessModes:
  - ReadWriteOnce
  persistentVolumeReclaimPolicy: Retain
  storageClassName: local-storage
  local:
    path: /home/kafka/data-1
  nodeAffinity:
    required:
      nodeSelectorTerms:
      - matchExpressions:
        - key: kubernetes.io/hostname
          operator: In
          values:
          - node2
---
apiVersion: v1
kind: PersistentVolume
metadata:
  name: datadir-kafka-2
spec:
  capacity:
    storage: 5Gi 
  accessModes:
  - ReadWriteOnce
  persistentVolumeReclaimPolicy: Retain
  storageClassName: local-storage
  local:
    path: /home/kafka/data-2
  nodeAffinity:
    required:
      nodeSelectorTerms:
      - matchExpressions:
        - key: kubernetes.io/hostname
          operator: In
          values:
          - node2


















kubectl apply -f kafka-local-pv.yaml








根据上面创建的local pv，在node1上创建目录/home/kafka/data-0，在node2上创建目录/home/kafka/data-1和/home/kafka/data-2。












# node1
mkdir -p /home/kafka/data-0

# node2
mkdir -p /home/kafka/data-1
mkdir -p /home/kafka/data-2








2.2 创建Zookeeper的Local PV


这里要在node1、node2这两个k8s节点上部署3个zookeeper节点，因此先在node1、node2上创建这3个zookeeper节点的Local PV zookeeper-local-pv.yaml:












apiVersion: v1
kind: PersistentVolume
metadata:
  name: data-kafka-zookeeper-0
spec:
  capacity:
    storage: 5Gi 
  accessModes:
  - ReadWriteOnce
  persistentVolumeReclaimPolicy: Retain
  storageClassName: local-storage
  local:
    path: /home/kafka/zkdata-0
  nodeAffinity:
    required:
      nodeSelectorTerms:
      - matchExpressions:
        - key: kubernetes.io/hostname
          operator: In
          values:
          - node1
---
apiVersion: v1
kind: PersistentVolume
metadata:
  name: data-kafka-zookeeper-1
spec:
  capacity:
    storage: 5Gi 
  accessModes:
  - ReadWriteOnce
  persistentVolumeReclaimPolicy: Retain
  storageClassName: local-storage
  local:
    path: /home/kafka/zkdata-1
  nodeAffinity:
    required:
      nodeSelectorTerms:
      - matchExpressions:
        - key: kubernetes.io/hostname
          operator: In
          values:
          - node2
---
apiVersion: v1
kind: PersistentVolume
metadata:
  name: data-kafka-zookeeper-2
spec:
  capacity:
    storage: 5Gi 
  accessModes:
  - ReadWriteOnce
  persistentVolumeReclaimPolicy: Retain
  storageClassName: local-storage
  local:
    path: /home/kafka/zkdata-2
  nodeAffinity:
    required:
      nodeSelectorTerms:
      - matchExpressions:
        - key: kubernetes.io/hostname
          operator: In
          values:
          - node2


















kubectl apply -f zookeeper-local-pv.yaml








根据上面创建的local pv，在node1上创建目录/home/kafka/zkdata-0，在node2上创建目录/home/kafka/zkdata-1和/home/kafka/zkdata-2。












# node1
mkdir -p /home/kafka/zkdata-0

# node2
mkdir -p /home/kafka/zkdata-1
mkdir -p /home/kafka/zkdata-2








3.部署Kafka


编写kafka chart的vaule文件kafka-values.yaml:












replicas: 3
tolerations:
- key: node-role.kubernetes.io/master
  operator: Exists
  effect: NoSchedule
- key: node-role.kubernetes.io/master
  operator: Exists
  effect: PreferNoSchedule
persistence:
  storageClass: local-storage
  size: 5Gi
zookeeper:
  persistence:
    enabled: true
    storageClass: local-storage
    size: 5Gi
  replicaCount: 3
  image:
    repository: gcr.azk8s.cn/google_samples/k8szk
  tolerations:
  - key: node-role.kubernetes.io/master
    operator: Exists
    effect: NoSchedule
  - key: node-role.kubernetes.io/master
    operator: Exists
    effect: PreferNoSchedule








    

  • 安装过程需要使用到gcr.io/google_samples/k8szk:v3等docker镜像，切换成使用azure的GCR Proxy Cache：gcr.azk8s.cn。
    • 













helm install --name kafka --namespace kafka -f kafka-values.yaml incubator/kafka








最后需要确认所有的pod都处于running状态:












kubectl get pod -n kafka -o wide
NAME                READY   STATUS    RESTARTS   AGE     IP            NODE    NOMINATED NODE   READINESS GATES
kafka-0             1/1     Running   0          12m     10.244.0.61   node1              
kafka-1             1/1     Running   0          6m3s    10.244.1.12   node2              
kafka-2             1/1     Running   0          2m26s   10.244.1.13   node2              
kafka-zookeeper-0   1/1     Running   0          12m     10.244.1.9    node2              
kafka-zookeeper-1   1/1     Running   0          11m     10.244.1.10   node2              
kafka-zookeeper-2   1/1     Running   0          11m     10.244.1.11   node2              

kubectl get statefulset -n kafka
NAME              READY   AGE
kafka             3/3     22m
kafka-zookeeper   3/3     22m

kubectl get service -n kafka
NAME                       TYPE        CLUSTER-IP      EXTERNAL-IP   PORT(S)                      AGE
kafka                      ClusterIP   10.102.8.192            9092/TCP                     31m
kafka-headless             ClusterIP   None                    9092/TCP                     31m
kafka-zookeeper            ClusterIP   10.110.43.203           2181/TCP                     31m
kafka-zookeeper-headless   ClusterIP   None                    2181/TCP,3888/TCP,2888/TCP   31m








可以看到当前kafka的helm chart，采用StatefulSet的形式部署了kafka和zookeeper，而我们通过Local PV的形式，将kafka-0调度到node1上，将kafka-1和kafka-2调度到node2上。


4.安装后的测试


在k8s集群内运行下面的客户端Pod，访问kafka broker进行测试：












apiVersion: v1
kind: Pod
metadata:
  name: testclient
  namespace: kafka
spec:
  containers:
  - name: kafka
    image: confluentinc/cp-kafka:5.0.1
    command:
    - sh
    - -c
    - "exec tail -f /dev/null"








创建并进入testclient容器内：












kubectl apply -f testclient.yaml
kubectl -n kafka exec testclient -it sh








查看kafka相关命令：












ls /usr/bin/ | grep kafka
kafka-acls
kafka-broker-api-versions
kafka-configs
kafka-console-consumer
kafka-console-producer
kafka-consumer-groups
kafka-consumer-perf-test
kafka-delegation-tokens
kafka-delete-records
kafka-dump-log
kafka-log-dirs
kafka-mirror-maker
kafka-preferred-replica-election
kafka-producer-perf-test
kafka-reassign-partitions
kafka-replica-verification
kafka-run-class
kafka-server-start
kafka-server-stop
kafka-streams-application-reset
kafka-topics
kafka-verifiable-consumer
kafka-verifiable-producer








创建一个Topic test1：












kafka-topics --zookeeper kafka-zookeeper:2181 --topic test1 --create --partitions 1 --replication-factor 1








查看的Topic：












kafka-topics --zookeeper kafka-zookeeper:2181 --list
test1








5.总结


当前基于Helm官方仓库的chartincubator/kafka在k8s上部署的kafka，使用的镜像是confluentinc/cp-kafka:5.0.1。 即部署的是Confluent公司提供的kafka版本。Confluent Platform Kafka(简称CP Kafka)提供了一些Apache Kafka没有的高级特性，例如跨数据中心备份、Schema注册中心以及集群监控工具等。CP Kafka目前分为免费版本和企业版两种，免费版除了Apache Kafka的标准组件外还包含Schema注册中心和Rest Proxy。


Confluent Platform and Apache Kafka Compatibility中给出了Confluent Kafka和Apache Kafka的版本对应关系，可以看出这里安装的cp 5.0.1对应Apache Kafka的2.0.x。


进入一个broker容器中，查看：












ls /usr/share/java/kafka | grep kafka
kafka-clients-2.0.1-cp1.jar
kafka-log4j-appender-2.0.1-cp1.jar
kafka-streams-2.0.1-cp1.jar
kafka-streams-examples-2.0.1-cp1.jar
kafka-streams-scala_2.11-2.0.1-cp1.jar
kafka-streams-test-utils-2.0.1-cp1.jar
kafka-tools-2.0.1-cp1.jar
kafka.jar
kafka_2.11-2.0.1-cp1-javadoc.jar
kafka_2.11-2.0.1-cp1-scaladoc.jar
kafka_2.11-2.0.1-cp1-sources.jar
kafka_2.11-2.0.1-cp1-test-sources.jar
kafka_2.11-2.0.1-cp1-test.jar
kafka_2.11-2.0.1-cp1.jar








可以看到对应apache kafka的版本号是2.11-2.0.1，前面2.11是Scala编译器的版本，Kafka的服务器端代码是使用Scala语言开发的，后边2.0.1是Kafka的版本。 即CP Kafka 5.0.1是基于Apache Kafka 2.0.1的。


参考


    

  • Zookeeper Helm Chart
    • 

  • Kafka Helm Chart
    • 

  • GCR Proxy Cache 帮助
    • 

  • Confluent Platform and Apache Kafka Compatibility
    • 





作者：青蛙小白


原文：https://blog.frognew.com/2019/07/use-helm-install-kafka-on-k8s.html




                        

                                    

                

                    

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