k8s-7: kafka+zookeeper的单节点与集群的持久化

之前在k8s环境中有这个需求，看了好多的文档，都有坑，踩了一边总结一下，需要的朋友可自取一、单节点部署建议开发环境使用，且此处采用动态挂载的，生产不建议1、安装zkcat > zk.yaml <<EOFapiVersion: v1kind: Servicemetadata:labels:app: zookeeper-servicename: zookeeper-servicesp

salarh

2397人浏览 · 2022-02-18 15:14:32

salarh · 2022-02-18 15:14:32 发布

之前在k8s环境中有这个需求，看了好多的文档，都有坑，踩了一边总结一下，需要的朋友可自取

一、单节点部署

建议开发环境使用，且此处采用动态挂载的，生产不建议

1、安装zk

cat > zk.yaml <<EOF
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: apps/v1
kind: Deployment
metadata:
  labels:
    app: zookeeper
  name: zookeeper
spec:
  replicas: 1
  selector:
    matchLabels:
      app: zookeeper
  template:
    metadata:
      labels:
        app: zookeeper
    spec:
      containers:
      - image: wurstmeister/zookeeper
        imagePullPolicy: IfNotPresent
        name: zookeeper
        ports:
        - containerPort: 2181
EOF

2.安装kafka

cat > kafka.yaml <<EOF
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

---

apiVersion: apps/v1
kind: Deployment
metadata:
  name: kafka
  labels:
    app: kafka
spec:
  replicas: 1
  selector:
    matchLabels:
      app: kafka
  template:
    metadata:
      labels:
        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-service" #[kafka的service的clusterIP]
        - name: KAFKA_ZOOKEEPER_CONNECT
          value: zookeeper-service:2181
        - name: KAFKA_BROKER_ID
          value: "1"
EOF

3.验证

进入容器创建生产者消费者测试

生产者：

kafka-console-producer.sh --broker-list 127.0.0.1:9092 --topic demo

消费者：

kafka-console-consumer.sh --bootstrap-server 127.0.0.1:9092  --topic demo --from-beginning

二、集群部署

这里是生产使用的。直接采用pv-pvc的挂载方式

1.zook的pv-pvc.yaml

kind: PersistentVolume
apiVersion: v1
metadata:
  name: k8s-pv-zk0
  annotations:
    volume.beta.kubernetes.io/storage-class: "wms-zook"
  labels:
    type: local
spec:
  capacity:
    storage: 5Gi
  accessModes:
    - ReadWriteOnce
  nfs:
    server: 192.168.XX.XX
    path: "/mnt/nas/zmj_pord/nfs/wms-zookeeper/pv0"
---
kind: PersistentVolume
apiVersion: v1
metadata:
  name: k8s-pv-zk1
  annotations:
    volume.beta.kubernetes.io/storage-class: "wms-zook"
  labels:
    type: local
spec:
  capacity:
    storage: 5Gi
  accessModes:
    - ReadWriteOnce
  nfs:
    server: 192.168.XX.XX
    path: "/mnt/nas/zmj_pord/nfs/wms-zookeeper/pv1"
---
kind: PersistentVolume
apiVersion: v1
metadata:
  name: k8s-pv-zk2
  annotations:
    volume.beta.kubernetes.io/storage-class: "wms-zook"
  labels:
    type: local
spec:
  capacity:
    storage: 5Gi
  accessModes:
    - ReadWriteOnce
  nfs:
    server: 192.168.XX.XX
    path: "/mnt/nas/zmj_pord/nfs/wms-zookeeper/pv2"

2.zk的all.yaml

---
apiVersion: v1
kind: Service
metadata:
  name: zk-hs
  labels:
    app: zk
spec:
  ports:
  - port: 2888
    name: server
  - port: 3888
    name: leader-election
  clusterIP: None
  selector:
    app: zk
---
apiVersion: v1
kind: Service
metadata:
  name: zk-cs
  labels:
    app: zk
spec:
  type: NodePort
  ports:
  - port: 2181
    name: client
  selector:
    app: zk
---
apiVersion: policy/v1beta1
kind: PodDisruptionBudget
metadata:
  name: zk-pdb
spec:
  selector:
    matchLabels:
      app: zk
  maxUnavailable: 1
---
apiVersion: apps/v1
kind: StatefulSet
metadata:
  name: zk
spec:
  selector:
    matchLabels:
      app: zk
  serviceName: zk-hs
  replicas: 3
  updateStrategy:
    type: RollingUpdate
  podManagementPolicy: Parallel
  template:
    metadata:
      labels:
        app: zk
    spec:
      affinity:
        podAntiAffinity:
          requiredDuringSchedulingIgnoredDuringExecution:
            - labelSelector:
                matchExpressions:
                  - key: "app"
                    operator: In
                    values:
                    - zk
              topologyKey: "kubernetes.io/hostname"
      containers:
      - name: kubernetes-zookeeper
        imagePullPolicy: Always
        image: "mirrorgooglecontainers/kubernetes-zookeeper:1.0-3.4.10"
        resources:
          requests:
            memory: "1Gi"
            cpu: "0.5"
        ports:
        - containerPort: 2181
          name: client
        - containerPort: 2888
          name: server
        - containerPort: 3888
          name: leader-election
        command:
        - sh
        - -c
        - "start-zookeeper \
          --servers=3 \
          --data_dir=/var/lib/zookeeper/data \
          --data_log_dir=/var/lib/zookeeper/data/log \
          --conf_dir=/opt/zookeeper/conf \
          --client_port=2181 \
          --election_port=3888 \
          --server_port=2888 \
          --tick_time=2000 \
          --init_limit=10 \
          --sync_limit=5 \
          --heap=512M \
          --max_client_cnxns=60 \
          --snap_retain_count=3 \
          --purge_interval=12 \
          --max_session_timeout=40000 \
          --min_session_timeout=4000 \
          --log_level=INFO"
        readinessProbe:
          exec:
            command:
            - sh
            - -c
            - "zookeeper-ready 2181"
          initialDelaySeconds: 10
          timeoutSeconds: 5
        livenessProbe:
          exec:
            command:
            - sh
            - -c
            - "zookeeper-ready 2181"
          initialDelaySeconds: 10
          timeoutSeconds: 5
        volumeMounts:
        - name: datadir
          mountPath: /var/lib/zookeeper
      securityContext:
        runAsUser: 1000
        fsGroup: 1000
  volumeClaimTemplates:
  - metadata:
      name: datadir
      annotations:
        volume.beta.kubernetes.io/storage-class: "wms-zook"
    spec:
      accessModes: [ "ReadWriteOnce" ]
      resources:
        requests:
          storage: 5Gi

3.kafka的pv-pvc

apiVersion: v1
kind: PersistentVolume
metadata:
  name: k8s-pv-kafka0
  namespace: tools
  labels:
    app: kafka
  annotations:
    volume.beta.kubernetes.io/storage-class: "wms-kafka"
spec:
  capacity:
    storage: 5G
  accessModes:
  - ReadWriteOnce
  nfs:
    server: 192.168.XX.XX
    path: "/mnt/nas/zmj_pord/nfs/wms-kafk/pv0"
---
apiVersion: v1
kind: PersistentVolume
metadata:
  name: k8s-pv-kafka1
  namespace: tools
  labels:
    app: kafka
  annotations:
    volume.beta.kubernetes.io/storage-class: "wms-kafka"
spec:
  capacity:
    storage: 5G
  accessModes:
  - ReadWriteOnce
  nfs:
    server: 192.168.XX.XX
    path: "/mnt/nas/zmj_pord/nfs/wms-kafka/pv1"
---
apiVersion: v1
kind: PersistentVolume
metadata:
  name: k8s-pv-kafka2
  namespace: tools
  labels:
    app: kafka
  annotations:
    volume.beta.kubernetes.io/storage-class: "wms-kafka"
spec:
  capacity:
    storage: 5G
  accessModes:
  - ReadWriteOnce
  nfs:
    server: 192.168.xx.XX
    path: "/mnt/nas/zmj_pord/nfs/wms-kafka/pv2"

4.kafka的all.yaml

（这里要把健康检查#掉）

---
apiVersion: v1
kind: Service
metadata:
  name: kafka-hs
  labels:
    app: kafka
spec:
  ports:
  - port: 9092
    name: server
  clusterIP: None
  selector:
    app: kafka
---
apiVersion: v1
kind: Service
metadata:
  name: kafka-cs
  labels:
    app: kafka
spec:
  selector:
    app: kafka
  type: NodePort
  ports:
  - name: client
    port: 9092
  #  nodePort: 19092
---
apiVersion: policy/v1beta1
kind: PodDisruptionBudget
metadata:
  name: kafka-pdb
spec:
  selector:
    matchLabels:
      app: kafka
  minAvailable: 2
---
apiVersion: apps/v1
kind: StatefulSet
metadata:
  name: kafka
spec:
  serviceName: kafka-hs
  replicas: 3
  selector:
    matchLabels:
      app: kafka
  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: kafka
        # imagePullPolicy: IfNotPresent
        image: registry.cn-hangzhou.aliyuncs.com/jaxzhai/k8skafka:v1
        #image: wurstmeister/kafka
        command: [ "/bin/bash", "-ce", "tail -f /dev/null" ]
        resources:
          requests:
            memory: "200M"
            cpu: 500m
        ports:
        - containerPort: 9092
          name: server
        command:
        - sh
        - -c
        - "exec kafka-server-start.sh /opt/kafka/config/server.properties --override broker.id=${HOSTNAME##*-} \
          --override listeners=PLAINTEXT://:9092 \
          --override zookeeper.connect=zk-0.zk-hs.prod-zmj-wms.svc.cluster.local:2181,zk-1.zk-hs.prod-zmj-wms.svc.cluster.local:2181,zk-2.zk-hs.prod-zmj-wms.svc.cluster.local:2181 \
          --override log.dir=/var/lib/kafka \
          --override auto.create.topics.enable=true \
          --override auto.leader.rebalance.enable=true \
          --override background.threads=10 \
          --override compression.type=producer \
          --override delete.topic.enable=true \
          --override leader.imbalance.check.interval.seconds=300 \
          --override leader.imbalance.per.broker.percentage=10 \
          --override log.flush.interval.messages=9223372036854775807 \
          --override log.flush.offset.checkpoint.interval.ms=60000 \
          --override log.flush.scheduler.interval.ms=9223372036854775807 \
          --override log.retention.bytes=-1 \
          --override log.retention.hours=168 \
          --override log.roll.hours=168 \
          --override log.roll.jitter.hours=0 \
          --override log.segment.bytes=1073741824 \
          --override log.segment.delete.delay.ms=60000 \
          --override message.max.bytes=1000012 \
          --override min.insync.replicas=1 \
          --override num.io.threads=8 \
          --override num.network.threads=3 \
          --override num.recovery.threads.per.data.dir=1 \
          --override num.replica.fetchers=1 \
          --override offset.metadata.max.bytes=4096 \
          --override offsets.commit.required.acks=-1 \
          --override offsets.commit.timeout.ms=5000 \
          --override offsets.load.buffer.size=5242880 \
          --override offsets.retention.check.interval.ms=600000 \
          --override offsets.retention.minutes=1440 \
          --override offsets.topic.compression.codec=0 \
          --override offsets.topic.num.partitions=50 \
          --override offsets.topic.replication.factor=3 \
          --override offsets.topic.segment.bytes=104857600 \
          --override queued.max.requests=500 \
          --override quota.consumer.default=9223372036854775807 \
          --override quota.producer.default=9223372036854775807 \
          --override replica.fetch.min.bytes=1 \
          --override replica.fetch.wait.max.ms=500 \
          --override replica.high.watermark.checkpoint.interval.ms=5000 \
          --override replica.lag.time.max.ms=10000 \
          --override replica.socket.receive.buffer.bytes=65536 \
          --override replica.socket.timeout.ms=30000 \
          --override request.timeout.ms=30000 \
          --override socket.receive.buffer.bytes=102400 \
          --override socket.request.max.bytes=104857600 \
          --override socket.send.buffer.bytes=102400 \
          --override unclean.leader.election.enable=true \
          --override zookeeper.session.timeout.ms=6000 \
          --override zookeeper.set.acl=false \
          --override broker.id.generation.enable=true \
          --override connections.max.idle.ms=600000 \
          --override controlled.shutdown.enable=true \
          --override controlled.shutdown.max.retries=3 \
          --override controlled.shutdown.retry.backoff.ms=5000 \
          --override controller.socket.timeout.ms=30000 \
          --override default.replication.factor=1 \
          --override fetch.purgatory.purge.interval.requests=1000 \
          --override group.max.session.timeout.ms=300000 \
          --override group.min.session.timeout.ms=6000 \
          --override inter.broker.protocol.version=0.10.2-IV0 \
          --override log.cleaner.backoff.ms=15000 \
          --override log.cleaner.dedupe.buffer.size=134217728 \
          --override log.cleaner.delete.retention.ms=86400000 \
          --override log.cleaner.enable=true \
          --override log.cleaner.io.buffer.load.factor=0.9 \
          --override log.cleaner.io.buffer.size=524288 \
          --override log.cleaner.io.max.bytes.per.second=1.7976931348623157E308 \
          --override log.cleaner.min.cleanable.ratio=0.5 \
          --override log.cleaner.min.compaction.lag.ms=0 \
          --override log.cleaner.threads=1 \
          --override log.cleanup.policy=delete \
          --override log.index.interval.bytes=4096 \
          --override log.index.size.max.bytes=10485760 \
          --override log.message.timestamp.difference.max.ms=9223372036854775807 \
          --override log.message.timestamp.type=CreateTime \
          --override log.preallocate=false \
          --override log.retention.check.interval.ms=300000 \
          --override max.connections.per.ip=2147483647 \
          --override num.partitions=1 \
          --override producer.purgatory.purge.interval.requests=1000 \
          --override replica.fetch.backoff.ms=1000 \
          --override replica.fetch.max.bytes=1048576 \
          --override replica.fetch.response.max.bytes=10485760 \
          --override reserved.broker.max.id=1000 "
        env:
        - name: KAFKA_HEAP_OPTS
          value : "-Xmx300M -Xms200M"
        - name: KAFKA_OPTS
          value: "-Dlogging.level=INFO"

        volumeMounts:
        - name: datadir
          mountPath: /var/lib/kafka
        readinessProbe:
          tcpSocket:
            port: 9092
          timeoutSeconds: 5
          initialDelaySeconds: 20
          # exec:
          #  command:
          #   - sh
          #   - -c
          #   - "/opt/kafka/bin/kafka-broker-api-versions.sh --bootstrap-server=0.0.0.0:9092"
      securityContext:
        runAsUser: 1000
        fsGroup: 1000
  volumeClaimTemplates:
  - metadata:
      name: datadir
      annotations:
        volume.beta.kubernetes.io/storage-class: "wms-kafka"
    spec:
      accessModes: [ "ReadWriteOnce" ]
      resources:
        requests:
          storage: 5G

5.测试

略，参考单节点

Kafka开源项目指南

Kafka开源项目指南提供详尽教程，助开发者掌握其架构、配置和使用，实现高效数据流管理和实时处理。它高性能、可扩展，适合日志收集和实时数据处理，通过持久化保障数据安全，是企业大数据生态系统的核心。

更多推荐

Kafka入门（一）概述、部署与API的简单使用

Kafka概述、部署与API的简单使用

Kafka开源项目指南

基于canal和kafka同步，实现binlog同步ElasticSearch

文章目录前言elasticsearch 安装canal安装canal-adapter 安装及配置mysql 安装zk及kafaka安装查看效果注意事项前言中间件版本elasticsearch7.5.2canal1.1.4client-adapter1.1.5-alpha-1zookeeper3.4.13kafka2.6.0mysql5.7.31elasticsearch 安装{"settings"

Kafka开源项目指南

基于 Iceberg 的湖仓一体架构在 B 站的实践

背景在B站，每天都有PB级的数据注入到大数据平台，经过离线或实时的ETL建模后，提供给下游的分析、推荐及预测等场景使用。面对如此大规模的数据，如何高效低成本地满足下游数据的分析需求，一直是我们重点的工作方向。我们之前的数据处理流程基本上是这样的：采集端将客户端埋点、服务端埋点、日志、业务数据库等数据收集到HDFS、Kafka等存储系统中，然后通过Hive、Spark、Fl...