使用StatefulSet部署有状态应用
Table of Contents
StatefulSet 这个对象是专门用来部署用状态应用的,可以为Pod提供稳定的身份标识,包括hostname、启动顺序、DNS名称等
下面以在 kubernetes 中部署 zookeeper 和 kafka 为例讲解StatefulSet的使用,其中kafka依赖于zookeeper
部署Zookeeper
Dockerfile中从远程获取zookeeper的安装文件,然后在定义了三个脚本:
- zkGenConfig.sh :生成zookeeper配置文件
- zkMetrics.sh :获取zookeeper的metrics
- zkOk.sh :用来做ReadinessProb
zkMetrics.sh脚本实际上执行的是下面的命令:
$ echo mntr | nc localhost $ZK_CLIENT_PORT >& 1
zk_version 3.4.6-1569965, built on 02/20/2014 09:09 GMT
zk_avg_latency 0
zk_max_latency 5
zk_min_latency 0
zk_packets_received 427879
zk_packets_sent 427890
zk_num_alive_connections 3
zk_outstanding_requests 0
zk_server_state leader
zk_znode_count 18
zk_watch_count 3
zk_ephemerals_count 4
zk_approximate_data_size 613
zk_open_file_descriptor_count 29
zk_max_file_descriptor_count 1048576
zk_followers 1
zk_synced_followers 1
zk_pending_syncs 0
zkOk.sh脚本实际上执行的是下面的命令:
$ echo ruok | nc 127.0.0.1 $ZK_CLIENT_PORT
imok
zookeeper.yaml
下面是启动三个zookeeper实例的yaml配置文件:
--- apiVersion: v1 kind: Service metadata: name: zk-svc labels: app: zk-svc spec: ports: - port: 2888 name: server - port: 3888 name: leader-election clusterIP: None selector: app: zk --- apiVersion: v1 kind: ConfigMap metadata: name: zk-cm data: jvm.heap: "1G" tick: "2000" init: "10" sync: "5" client.cnxns: "60" snap.retain: "3" purge.interval: "0" --- apiVersion: policy/v1beta1 kind: PodDisruptionBudget metadata: name: zk-pdb spec: selector: matchLabels: app: zk minAvailable: 2 --- apiVersion: apps/v1beta1 kind: StatefulSet metadata: name: zk spec: serviceName: zk-svc replicas: 3 template: metadata: labels: app: zk spec: affinity: podAntiAffinity: requiredDuringSchedulingIgnoredDuringExecution: - labelSelector: matchExpressions: - key: "app" operator: In values: - zk topologyKey: "kubernetes.io/hostname" containers: - name: k8szk imagePullPolicy: Always image: harbor-001.jimmysong.io/library/zookeeper:3.4.6 resources: requests: memory: "2Gi" cpu: "500m" ports: - containerPort: 2181 name: client - containerPort: 2888 name: server - containerPort: 3888 name: leader-election env: - name : ZK_REPLICAS value: "3" - name : ZK_HEAP_SIZE valueFrom: configMapKeyRef: name: zk-cm key: jvm.heap - name : ZK_TICK_TIME valueFrom: configMapKeyRef: name: zk-cm key: tick - name : ZK_INIT_LIMIT valueFrom: configMapKeyRef: name: zk-cm key: init - name : ZK_SYNC_LIMIT valueFrom: configMapKeyRef: name: zk-cm key: tick - name : ZK_MAX_CLIENT_CNXNS valueFrom: configMapKeyRef: name: zk-cm key: client.cnxns - name: ZK_SNAP_RETAIN_COUNT valueFrom: configMapKeyRef: name: zk-cm key: snap.retain - name: ZK_PURGE_INTERVAL valueFrom: configMapKeyRef: name: zk-cm key: purge.interval - name: ZK_CLIENT_PORT value: "2181" - name: ZK_SERVER_PORT value: "2888" - name: ZK_ELECTION_PORT value: "3888" command: - sh - -c - zkGenConfig.sh && zkServer.sh start-foreground readinessProbe: exec: command: - "zkOk.sh" initialDelaySeconds: 10 timeoutSeconds: 5 livenessProbe: exec: command: - "zkOk.sh" initialDelaySeconds: 10 timeoutSeconds: 5 securityContext: runAsUser: 1000 fsGroup: 1000
部署kafka
Kafka的docker镜像制作跟zookeeper类似,都是从远程下载安装包后,解压安装
与zookeeper不同的是,只要一个脚本,但是又依赖于上一步安装的zookeeper, kafkaGenConfig.sh 用来生成kafka的配置文件:
#!/bin/bash HOST=`hostname -s` if [[ $HOST =~ (.*)-([0-9]+)$ ]]; then NAME=${BASH_REMATCH[1]} ORD=${BASH_REMATCH[2]} else echo "Failed to extract ordinal from hostname $HOST" exit 1 fi MY_ID=$((ORD+1)) sed -i s"/broker.id=0/broker.id=$MY_ID/g" /opt/kafka/config/server.properties sed -i s'/zookeeper.connect=localhost:2181/zookeeper.connect=zk-0.zk-svc.brand.svc:2181,zk-1.zk-svc.brand.svc:2181,zk-2.zk-svc.brand.svc:2181/g' /opt/kafka/config/server.properties
- 根据statefulset生成的pod的hostname的后半截数字部分作为broker ID
- 再替换zookeeper的地址
Kafka.yaml
创建3个kafka实例的yaml配置:
--- apiVersion: v1 kind: Service metadata: name: kafka-svc labels: app: kafka spec: ports: - port: 9093 name: server clusterIP: None selector: app: kafka --- apiVersion: policy/v1beta1 kind: PodDisruptionBudget metadata: name: kafka-pdb spec: selector: matchLabels: app: kafka minAvailable: 2 --- apiVersion: apps/v1beta1 kind: StatefulSet metadata: name: kafka spec: serviceName: kafka-svc replicas: 3 template: metadata: labels: app: kafka spec: affinity: podAntiAffinity: requiredDuringSchedulingIgnoredDuringExecution: - labelSelector: matchExpressions: - key: "app" operator: In values: - kafka topologyKey: "kubernetes.io/hostname" podAffinity: preferredDuringSchedulingIgnoredDuringExecution: - weight: 1 podAffinityTerm: labelSelector: matchExpressions: - key: "app" operator: In values: - zk topologyKey: "kubernetes.io/hostname" terminationGracePeriodSeconds: 300 containers: - name: k8skafka imagePullPolicy: Always image: harbor-001.jimmysong.io/library/kafka:2.10-0.8.2.1 resources: requests: memory: "1Gi" cpu: 500m env: - name: KF_REPLICAS value: "3" ports: - containerPort: 9093 name: server command: - /bin/bash - -c - "/opt/kafka/bin/kafkaGenConfig.sh && /opt/kafka/bin/kafka-server-start.sh /opt/kafka/config/server.properties" env: - name: KAFKA_HEAP_OPTS value : "-Xmx512M -Xms512M" - name: KAFKA_OPTS value: "-Dlogging.level=DEBUG" readinessProbe: tcpSocket: port: 9092 initialDelaySeconds: 15 timeoutSeconds: 1
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