Kubernetes-zookeeper-nfs集群部署
背景
Kubernetes安装zookeeper集群
一、环境准备，安装kubernetes集群
当前节点base、master、node1、node2、node3
kubernetes安装不在此赘述，请参考参考资料进行安装
kubernetes安装nfs不在此赘述，请参考参考资料进行安装
参考资料
/kubernetes/1-Kubernetes基于Centos7构建基础环境（一）
/kubernetes/2-Kubernetes基于Centos7构建基础环境（二）
/kubernetes/3-Kubernetes基于Centos7构建基础环境（三）
4-Kubernetes-基于Centos7安装面板及监控（四）
/kubernetes/nfs/10-Kubernetes-elasticsearch-nfs集群部署
/kubernetes/nfs/6-Kubernetes-nacos-nfs单机版部署
| 集群名称 | 集群域名 | 说明 |
|---|---|---|
| base | base.xincan.cn | 部署harbor、nfs等服务 |
| master | master.xincan.cn | kubernetes主节点，做污点容忍，排除业务资源，nfs客户端等 |
| node1 | node1.xincan.cn | kubernetes从节点，nfs客户端等 |
| node2 | node2.xincan.cn | kubernetes从节点，nfs客户端等 |
| node3 | node3.xincan.cn | kubernetes从节点，nfs客户端等 |
二、总体流程：
- 原始镜像fastop/kafka:2.2.0
- 将原始镜像下载后进行push到私有Harbor仓库
- 在Kubernetes集群的主节点上创建skywalking文件夹，用于存放Kuberntes文件编排，文件目录如下；
[root@master kafka]# tree
.
├── 0-kafka-namespace.yaml
├── 1-zookeeper-kafka-rbac.yaml
├── kafka
│ ├── 1-kafka-storageclass.yaml
│ ├── 2-kafka-nfs-provisioner.yaml
│ ├── 3-kafka-poddisruptionbudget.yaml
│ ├── 4-kafka-service.yaml
│ └── 5-kafka-statefulset.yaml
└── zookeeper
├── 1-zookeeper-storageclass.yaml
├── 2-zookeeper-nfs-provisioner.yaml
├── 3-zookeeper-configmap.yaml
├── 4-zookeeper-service.yaml
├── 5-zookeeper-poddisruptionbudget.yaml
└── 6-zookeeper-statefulset.yaml
- 资源创建；
- 效果展示；
三、镜像处理
- 镜像下载
[root@master /]# docker pull fastop/kafka:2.2.0
- 镜像tag
[root@master /]# docker tag fastop/kafka:2.2.0 base.xincan.cn/library/k8s-kafka:2.2.0
- 提交到Harbor
[root@master /]# docker push base.xincan.cn/library/k8s-kafka:2.2.0
四、资源创建
-
命名空间、权限已经创建，参考/kubernetes/nfs/11-Kubernetes-zookeeper-nfs集群部署
-
创建kafka主节点StorageClass，名称为：kafka-nfs-storage
- 后续pv、pvc通过Deployment动态创建
[root@master kafka]# cat 1-kafka-storageclass.yaml
apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
name: kafka-nfs-storage
namespace: kafka
labels:
xincan.kubernetes.io/company: xincan.cn
xincan.kubernetes.io/version: 0.0.1
xincan.kubernetes.io/type: plugins
xincan.kubernetes.io/product: xincan
provisioner: nfs.xincan.kafka/kafka # or choose another name, must match deployment's env PROVISIONER_NAME'
parameters:
archiveOnDelete: "false"
[root@master kafka]#
- 创建NFS资源Deployment,名称为：kafka-nfs-client-provisionerr
- mountPath: /persistentvolumes 该文件夹是nfs-client-provisioner镜像运行之后容器内部固定的文件夹它会mount到/hatech/nfs/data/xincan/kafka-multiple nfs服务器kafka-multiple 文件夹下
- value: 192.168.1.80 该地址是对应NFS服务器地址
- path: /hatech/nfs/data/xincan/kafka-multiple path地址路径则是NFS服务器自己创建挂载点的文件路径，也就是后续数据库存储的位置
- serviceAccountName: zk-nfs-client-provisioner 赋予动态存储有操作PV，PVC等权限
- PROVISIONER_NAME 对应的value与StorageClass中的provisioner值要一一对应
[root@master kafka]# cat 2-kafka-nfs-provisioner.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: kafka-nfs-client-provisioner
namespace: kafka
labels:
xincan.kubernetes.io/company: xincan.cn
xincan.kubernetes.io/version: 0.0.1
xincan.kubernetes.io/type: plugins
xincan.kubernetes.io/product: xincan
spec:
replicas: 1
strategy:
type: Recreate
selector:
matchLabels:
xincan.kubernetes.io/company: xincan.cn
xincan.kubernetes.io/version: 0.0.1
xincan.kubernetes.io/type: plugins
xincan.kubernetes.io/product: xincan
template:
metadata:
labels:
xincan.kubernetes.io/company: xincan.cn
xincan.kubernetes.io/version: 0.0.1
xincan.kubernetes.io/type: plugins
xincan.kubernetes.io/product: xincan
spec:
serviceAccountName: zk-nfs-client-provisioner
containers:
- name: kafka-nfs-client-provisioner
image: base.xincan.cn/library/nfs-client-provisioner:v1.5.2
volumeMounts:
- name: nfs-client-root
mountPath: /persistentvolumes
env:
- name: PROVISIONER_NAME
value: nfs.xincan.kafka/kafka #fuseim.pri/ifs
- name: NFS_SERVER
value: 192.168.1.80
- name: NFS_PATH
value: /hatech/nfs/data/xincan/kafka-multiple
volumes:
- name: nfs-client-root
nfs:
server: 192.168.1.80
path: /hatech/nfs/data/xincan/kafka-multiple
[root@master kafka]#
- 创建kafka的PodDisruptionBudget，名称为：kafka-pdb
[root@master kafka]# cat 3-kafka-poddisruptionbudget.yaml
apiVersion: policy/v1
kind: PodDisruptionBudget
metadata:
name: kafka-pdb
namespace: kafka
labels:
xincan.kubernetes.io/company: xincan.cn
xincan.kubernetes.io/version: 0.0.1
xincan.kubernetes.io/type: plugins
xincan.kubernetes.io/product: xincan
xincan.kubernetes.io/app: kafka
spec:
selector:
matchLabels:
xincan.kubernetes.io/company: xincan.cn
xincan.kubernetes.io/version: 0.0.1
xincan.kubernetes.io/type: plugins
xincan.kubernetes.io/product: xincan
xincan.kubernetes.io/app: kafka
minAvailable: 2
[root@master kafka]#
- 创建kafka服务外暴露访问资源Service，名称为：kafka-hs,kafka-cs
[root@master kafka]# cat 4-kafka-service.yaml
apiVersion: v1
kind: Service
metadata:
name: kafka-hs
namespace: kafka
labels:
xincan.kubernetes.io/company: xincan.cn
xincan.kubernetes.io/version: 0.0.1
xincan.kubernetes.io/type: plugins
xincan.kubernetes.io/product: xincan
xincan.kubernetes.io/app: kafka
spec:
selector:
xincan.kubernetes.io/company: xincan.cn
xincan.kubernetes.io/version: 0.0.1
xincan.kubernetes.io/type: plugins
xincan.kubernetes.io/product: xincan
xincan.kubernetes.io/app: kafka
clusterIP: None
ports:
- port: 9092
name: server
---
apiVersion: v1
kind: Service
metadata:
name: kafka-cs
namespace: kafka
labels:
xincan.kubernetes.io/company: xincan.cn
xincan.kubernetes.io/version: 0.0.1
xincan.kubernetes.io/type: plugins
xincan.kubernetes.io/product: xincan
xincan.kubernetes.io/app: kafka
spec:
selector:
xincan.kubernetes.io/company: xincan.cn
xincan.kubernetes.io/version: 0.0.1
xincan.kubernetes.io/type: plugins
xincan.kubernetes.io/product: xincan
xincan.kubernetes.io/app: kafka
type: NodePort
ports:
- name: client
port: 9092
# nodePort: 19092
[root@master kafka]#
- 创建kafka无头服务StatefulSet，名称为：根据metadata.name+“-”+实例序号，序号从0开始,如我的最后结果是：kafka-0，kafka-1、kafka-2
- replicas: 3 最终会生成3分kafka实例
- 节点亲和性保证zookeeper与Kafka在每台子节点集群中确保一一至少一个保持对应
[root@master kafka]# cat 5-kafka-statefulset.yaml
apiVersion: apps/v1
kind: StatefulSet
metadata:
name: kafka
namespace: kafka
labels:
xincan.kubernetes.io/company: xincan.cn
xincan.kubernetes.io/version: 0.0.1
xincan.kubernetes.io/type: plugins
xincan.kubernetes.io/product: xincan
xincan.kubernetes.io/app: kafka
spec:
serviceName: kafka-hs
replicas: 3
selector:
matchLabels:
xincan.kubernetes.io/company: xincan.cn
xincan.kubernetes.io/version: 0.0.1
xincan.kubernetes.io/type: plugins
xincan.kubernetes.io/product: xincan
xincan.kubernetes.io/app: kafka
template:
metadata:
labels:
xincan.kubernetes.io/company: xincan.cn
xincan.kubernetes.io/version: 0.0.1
xincan.kubernetes.io/type: plugins
xincan.kubernetes.io/product: xincan
xincan.kubernetes.io/app: kafka
spec:
affinity:
podAntiAffinity:
requiredDuringSchedulingIgnoredDuringExecution:
- labelSelector:
matchExpressions:
- key: "xincan.kubernetes.io/app"
operator: In
values:
- kafka
topologyKey: "kubernetes.io/hostname"
podAffinity:
preferredDuringSchedulingIgnoredDuringExecution:
- weight: 1
podAffinityTerm:
labelSelector:
matchExpressions:
- key: "xincan.kubernetes.io/app"
operator: In
values:
- zookeeper
topologyKey: "kubernetes.io/hostname"
terminationGracePeriodSeconds: 300
containers:
- name: k8s-kafka
imagePullPolicy: Always
image: base.x.cn/library/k8s-kafka:2.2.0
resources:
requests:
memory: "600Mi"
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.kafka.svc.cluster.local:2181,zk-1.zk-hs.kafka.svc.cluster.local:2181,zk-2.zk-hs.kafka.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=false \
--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=2.2.0 \
--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=4 \
--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 : "-Xmx512M -Xms512M"
- name: KAFKA_OPTS
value: "-Dlogging.level=INFO"
volumeMounts:
- name: kafka
mountPath: /var/lib/kafka
readinessProbe:
tcpSocket:
port: 9092
timeoutSeconds: 1
initialDelaySeconds: 5
securityContext:
runAsUser: 1000
fsGroup: 1000
volumeClaimTemplates:
- metadata:
name: kafka
annotations:
volume.beta.kubernetes.io/storage-class: "kafka-nfs-storage"
spec:
accessModes: [ "ReadWriteOnce" ]
resources:
requests:
storage: 1Gi
[root@master kafka]#
- 创建zookeeper资源
[root@master kafka]# kubectl apply -f kafka/
storageclass.storage.k8s.io/kafka-nfs-storage created
deployment.apps/kafka-nfs-client-provisioner created
poddisruptionbudget.policy/kafka-pdb created
service/kafka-hs created
service/kafka-cs created
statefulset.apps/kafka created
[root@master kafka]#
- 查看安装情况
[root@master kafka]# kubectl -n kafka get all
NAME READY STATUS RESTARTS AGE
pod/kafka-0 1/1 Running 0 76s
pod/kafka-1 1/1 Running 0 66s
pod/kafka-2 1/1 Running 0 56s
pod/kafka-nfs-client-provisioner-65fd4d5cbc-xc4rj 1/1 Running 0 77s
pod/zk-0 1/1 Running 0 40m
pod/zk-1 1/1 Running 0 40m
pod/zk-2 1/1 Running 0 40m
pod/zookeeper-nfs-client-provisioner-6d7b494668-66h5k 1/1 Running 0 40m
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
service/kafka-cs NodePort 10.97.249.127 <none> 9092:31903/TCP 78s
service/kafka-hs ClusterIP None <none> 9092/TCP 78s
service/zk-cs ClusterIP 10.100.46.147 <none> 2181/TCP 40m
service/zk-hs ClusterIP None <none> 2888/TCP,3888/TCP 40m
NAME READY UP-TO-DATE AVAILABLE AGE
deployment.apps/kafka-nfs-client-provisioner 1/1 1 1 78s
deployment.apps/zookeeper-nfs-client-provisioner 1/1 1 1 40m
NAME DESIRED CURRENT READY AGE
replicaset.apps/kafka-nfs-client-provisioner-65fd4d5cbc 1 1 1 78s
replicaset.apps/zookeeper-nfs-client-provisioner-6d7b494668 1 1 1 40m
NAME READY AGE
statefulset.apps/kafka 3/3 78s
statefulset.apps/zk 3/3 40m
[root@master kafka]#
五、测试kafka集群，生产者、消费者数据
- 进入kafka-0节点，创建 topic 为 test
[root@master kafka]# kubectl -n kafka exec -it kafka-0 -- bash
kafka@kafka-0:/$ kafka-topics.sh --create \
--topic test \
--zookeeper zk-0.zk-hs.kafka.svc.cluster.local:2181,zk-1.zk-hs.kafka.svc.cluster.local:2181,zk-2.zk-hs.kafka.svc.cluster.local:2181 \
--partitions 3 \
--replication-factor 2
Created topic test.
[root@master kafka]#
- 查看有哪些 topic
kafka@kafka-0:/$ kafka-topics.sh --list --zookeeper zk-0.zk-hs.kafka.svc.cluster.local:2181,zk-1.zk-hs.kafka.svc.cluster.local:2181,zk-2.zk-hs.kafka.svc.cluster.local:2181
test
kafka@kafka-0:/$
- 打开这个窗口不要动, 消费者监听窗口
kafka@kafka-0:/$ kafka-console-consumer.sh --topic test --bootstrap-server localhost:9092
- 重新开启一个窗口，进入kafka-1容器
[root@master ~]# kubectl -n kafka exec -it kafka-1 -- bash
kafka@kafka-1:/$
- 打开生产者监听窗口
- 随便输入内容，如“测试kafka”回车
kafka@kafka-1:/$ kafka-console-producer.sh --topic test --broker-list localhost:9092
>测试kafka
>
- 在回到第四步中，查看消费者是否接收到生产者产生的数据
- 结果可以看到生产者产生的数据
- 验证kafka集群成功
kafka@kafka-0:/$ kafka-console-consumer.sh --topic test --bootstrap-server localhost:9092
测试kafka
六：结束语
至此集群版Kubernetes部署kafka集群完成
