主要参考了https://stackoverflow.com/questions/44651219/kafka-deployment-on-minikube和https://github.com/ramhiser/kafka-kubernetes两个项目,可是这两个项目都是单节点的Kafka,我这里尝试将单节点Kafka扩展为多节点的Kafka集群。node
1、单节点Kafkalinux
要搭建Kafka集群,仍是要从单节点开始。git
1.建立Zookeeper服务zookeeper-svc.yaml和zookeeper-deployment.yaml,用kubectl create -f建立:github
apiVersion: v1 kind: Service metadata: labels: app: zookeeper-service name: zookeeper-service spec: ports: - name: zookeeper-port port: 2181 targetPort: 2181 selector: app: zookeeper
apiVersion: extensions/v1beta1 kind: Deployment metadata: labels: app: zookeeper name: zookeeper spec: replicas: 1 template: metadata: labels: app: zookeeper spec: containers: - image: wurstmeister/zookeeper imagePullPolicy: IfNotPresent name: zookeeper ports: - containerPort: 2181
2.等pod跑起来,service的endpoint配置成功后,就能够继续建立kafka的kafka-svc.yaml和kafka-deployment.yaml了:bootstrap
apiVersion: v1 kind: Service metadata: name: kafka-service labels: app: kafka spec: type: NodePort ports: - port: 9092 name: kafka-port targetPort: 9092 nodePort: 30092 protocol: TCP selector: app: kafka
kind: Deployment apiVersion: extensions/v1beta1 metadata: name: kafka-deployment spec: replicas: 1 selector: matchLabels: name: kafka template: metadata: labels: name: kafka app: kafka spec: containers: - name: kafka image: wurstmeister/kafka imagePullPolicy: IfNotPresent ports: - containerPort: 9092 env: - name: KAFKA_ADVERTISED_PORT value: "9092" - name: KAFKA_ADVERTISED_HOST_NAME value: "[kafka的service的clusterIP]" - name: KAFKA_ZOOKEEPER_CONNECT value: [zookeeper的service的clusterIP]:2181 - name: KAFKA_BROKER_ID value: "1"
clusterIP经过kubectl get svc进行查看。KAFKA_ZOOKEEPER_CONNECT的值也能够改成zookeeper-service:2181。api
3.建立后,须要对服务进行测试。参考了http://www.javashuo.com/article/p-pyycgahe-b.html的方法。bash
在此以前,针对虚拟化的Kafka,须要先执行下面的命令以进入容器:app
kubectl exec -it [Kafka的pod名称] /bin/bash
进入容器后,Kafka的命令存储在opt/kafka/bin目录下,用cd命令进入:测试
cd opt/kafka/bin
后面的操做就跟上面的博客中写的相似了。针对单节点Kafka,须要将同一个节点做为生产者和消费者。执行命令以下:.net
kafka-console-producer.sh --broker-list [kafka的service的clusterIP]:9092 --topic test
运行正常的话,下方会出现>标记以提示输入消息。这样这个终端就成为了生产者。
另外打开一个linux终端,执行相同的命令进入容器。此次将这个终端做为消费者。注意,上面的博客中写的建立消费者的方法在新版的Kafka中已经改变,须要执行下面的命令:
kafka-console-consumer.sh --bootstrap-server [kafka的service的clusterIP]:9092 --topic test --from-beginning
以后,在生产者输入信息,查看消费者是否可以接收到。若是接收到,说明运行成功。
最后,还能够执行下面的命令以测试列出全部的消息主题:
kafka-topics.sh --list --zookeeper [zookeeper的service的clusterIP]:2181
注意,有时须要用Kafka的端口,有时须要用Zookeeper的端口,应注意区分。
2、多节点Kafka集群
单节点服务运行成功后,就能够尝试增长Kafka的节点以创建集群。个人Kubernetes集群包含3个节点,因此我搭建的Kafka集群也包含3个节点,分别运行在三台机器上。
我这里采用了3个Deployment来运行Kafka和Zookeeper,其实更优雅的方式是使用StatefulSet。Kubernetes的官方文档上有使用StatefulSet搭建Zookeeper集群的范例。
可是使用StatefulSet搭建Zookeeper和Kafka时,Zookeeper的myid和Kafka的brokerID就不能预先设置了,所以须要在镜像构建过程当中加入相关的操做,而Docker Hub中的绝大多数镜像都不包含这一逻辑。而Deployment虽然不够优雅,可是能够对各节点预先配置,运行起来相对简单,能够说各有所长。
1.搭建Zookeeper集群
建立zookeeper的yaml文件zookeeper-svc2.yaml和zookeeper-deployment2.yaml以下:
apiVersion: v1 kind: Service metadata: name: zoo1 labels: app: zookeeper-1 spec: ports: - name: client port: 2181 protocol: TCP - name: follower port: 2888 protocol: TCP - name: leader port: 3888 protocol: TCP selector: app: zookeeper-1 --- apiVersion: v1 kind: Service metadata: name: zoo2 labels: app: zookeeper-2 spec: ports: - name: client port: 2181 protocol: TCP - name: follower port: 2888 protocol: TCP - name: leader port: 3888 protocol: TCP selector: app: zookeeper-2 --- apiVersion: v1 kind: Service metadata: name: zoo3 labels: app: zookeeper-3 spec: ports: - name: client port: 2181 protocol: TCP - name: follower port: 2888 protocol: TCP - name: leader port: 3888 protocol: TCP selector: app: zookeeper-3
kind: Deployment apiVersion: extensions/v1beta1 metadata: name: zookeeper-deployment-1 spec: replicas: 1 selector: matchLabels: app: zookeeper-1 name: zookeeper-1 template: metadata: labels: app: zookeeper-1 name: zookeeper-1 spec: containers: - name: zoo1 image: digitalwonderland/zookeeper imagePullPolicy: IfNotPresent ports: - containerPort: 2181 env: - name: ZOOKEEPER_ID value: "1" - name: ZOOKEEPER_SERVER_1 value: zoo1 - name: ZOOKEEPER_SERVER_2 value: zoo2 - name: ZOOKEEPER_SERVER_3 value: zoo3 --- kind: Deployment apiVersion: extensions/v1beta1 metadata: name: zookeeper-deployment-2 spec: replicas: 1 selector: matchLabels: app: zookeeper-2 name: zookeeper-2 template: metadata: labels: app: zookeeper-2 name: zookeeper-2 spec: containers: - name: zoo2 image: digitalwonderland/zookeeper imagePullPolicy: IfNotPresent ports: - containerPort: 2181 env: - name: ZOOKEEPER_ID value: "2" - name: ZOOKEEPER_SERVER_1 value: zoo1 - name: ZOOKEEPER_SERVER_2 value: zoo2 - name: ZOOKEEPER_SERVER_3 value: zoo3 --- kind: Deployment apiVersion: extensions/v1beta1 metadata: name: zookeeper-deployment-3 spec: replicas: 1 selector: matchLabels: app: zookeeper-3 name: zookeeper-3 template: metadata: labels: app: zookeeper-3 name: zookeeper-3 spec: containers: - name: zoo3 image: digitalwonderland/zookeeper imagePullPolicy: IfNotPresent ports: - containerPort: 2181 env: - name: ZOOKEEPER_ID value: "3" - name: ZOOKEEPER_SERVER_1 value: zoo1 - name: ZOOKEEPER_SERVER_2 value: zoo2 - name: ZOOKEEPER_SERVER_3 value: zoo3
这里建立了3个deployment和3个service,一一对应。这样,三个实例均可以对外提供服务。
建立完成后,须要用kubectl logs查看一下三个Zookeeper的pod的日志,确保没有错误发生,而且在3个节点的日志中,有相似下面的语句,则代表Zookeeper集群已顺利搭建成功。
2016-10-06 14:04:05,904 [myid:2] - INFO [QuorumPeer[myid=2]/0:0:0:0:0:0:0:0:2181:Leader@358] - LEADING -
LEADER ELECTION TOOK - 2613
2.搭建Kafka集群
一样建立3个deployment和3个service,编写kafka-svc2.yaml和kafka-deployment2.yaml以下:
apiVersion: v1 kind: Service metadata: name: kafka-service-1 labels: app: kafka-service-1 spec: type: NodePort ports: - port: 9092 name: kafka-service-1 targetPort: 9092 nodePort: 30901 protocol: TCP selector: app: kafka-service-1 --- apiVersion: v1 kind: Service metadata: name: kafka-service-2 labels: app: kafka-service-2 spec: type: NodePort ports: - port: 9092 name: kafka-service-2 targetPort: 9092 nodePort: 30902 protocol: TCP selector: app: kafka-service-2 --- apiVersion: v1 kind: Service metadata: name: kafka-service-3 labels: app: kafka-service-3 spec: type: NodePort ports: - port: 9092 name: kafka-service-3 targetPort: 9092 nodePort: 30903 protocol: TCP selector: app: kafka-service-3
kind: Deployment apiVersion: extensions/v1beta1 metadata: name: kafka-deployment-1 spec: replicas: 1 selector: matchLabels: name: kafka-service-1 template: metadata: labels: name: kafka-service-1 app: kafka-service-1 spec: containers: - name: kafka-1 image: wurstmeister/kafka imagePullPolicy: IfNotPresent ports: - containerPort: 9092 env: - name: KAFKA_ADVERTISED_PORT value: "9092" - name: KAFKA_ADVERTISED_HOST_NAME value: [kafka-service1的clusterIP] - name: KAFKA_ZOOKEEPER_CONNECT value: zoo1:2181,zoo2:2181,zoo3:2181 - name: KAFKA_BROKER_ID value: "1" - name: KAFKA_CREATE_TOPICS value: mytopic:2:1 --- kind: Deployment apiVersion: extensions/v1beta1 metadata: name: kafka-deployment-2 spec: replicas: 1 selector: selector: matchLabels: name: kafka-service-2 template: metadata: labels: name: kafka-service-2 app: kafka-service-2 spec: containers: - name: kafka-2 image: wurstmeister/kafka imagePullPolicy: IfNotPresent ports: - containerPort: 9092 env: - name: KAFKA_ADVERTISED_PORT value: "9092" - name: KAFKA_ADVERTISED_HOST_NAME value: [kafka-service2的clusterIP] - name: KAFKA_ZOOKEEPER_CONNECT value: zoo1:2181,zoo2:2181,zoo3:2181 - name: KAFKA_BROKER_ID value: "2" --- kind: Deployment apiVersion: extensions/v1beta1 metadata: name: kafka-deployment-3 spec: replicas: 1 selector: selector: matchLabels: name: kafka-service-3 template: metadata: labels: name: kafka-service-3 app: kafka-service-3 spec: containers: - name: kafka-3 image: wurstmeister/kafka imagePullPolicy: IfNotPresent ports: - containerPort: 9092 env: - name: KAFKA_ADVERTISED_PORT value: "9092" - name: KAFKA_ADVERTISED_HOST_NAME value: [kafka-service3的clusterIP] - name: KAFKA_ZOOKEEPER_CONNECT value: zoo1:2181,zoo2:2181,zoo3:2181 - name: KAFKA_BROKER_ID value: "3"
在deployment1中执行了建立一个新topic的操做。
3.测试
测试方法基本同单集群的状况,这里就不赘述了。不一样的是,此次能够将不一样的节点做为生产者和消费者。
至此,Kubernetes的Kafka集群搭建就大功告成了!