k8s搭建kafka集群
1、创建namespace
2、创建动态持久化存储卷
3、创建zk集群
4、创建kafka集群
1、创建namespace
apiVersion: v1
kind: Namespace
metadata:
name: kafka
2、创建动态持久化存储卷
先需要搭建nfs环境，教程：https://blog.csdn.net/wangmiaoyan/article/details/102840639
rbac.yaml
apiVersion: v1
kind: ServiceAccount
metadata:
name: nfs-provisioner
namespace: monitoring
---
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: nfs-provisioner-runner
namespace: monitoring
rules:
- apiGroups: [""]
resources: ["persistentvolumes"]
verbs: ["get", "list", "watch", "create", "delete"]
- apiGroups: [""]
resources: ["persistentvolumeclaims"]
verbs: ["get", "list", "watch", "update"]
- apiGroups: ["storage.k8s.io"]
resources: ["storageclasses"]
verbs: ["get", "list", "watch"]
- apiGroups: [""]
resources: ["events"]
verbs: ["watch", "create", "update", "patch"]
- apiGroups: [""]
resources: ["services", "endpoints"]
verbs: ["get","create","list", "watch","update"]
- apiGroups: ["extensions"]
resources: ["podsecuritypolicies"]
resourceNames: ["nfs-provisioner"]
verbs: ["use"]
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: run-nfs-provisioner
subjects:
- kind: ServiceAccount
name: nfs-provisioner
namespace: monitoring
roleRef:
kind: ClusterRole
name: nfs-provisioner-runner
apiGroup: rbac.authorization.k8s.io
nfs-deployment.yaml
kind: Deployment
apiVersion: extensions/v1beta1
metadata:
name: nfs-client-provisioner
namespace: monitoring
spec:
replicas: 1
strategy:
type: Recreate
template:
metadata:
labels:
app: nfs-client-provisioner
spec:
serviceAccount: nfs-provisioner
containers:
- name: nfs-client-provisioner
image: quay.io/external_storage/nfs-client-provisioner:latest
volumeMounts:
- name: nfs-client-root
mountPath: /persistentvolumes
env:
- name: PROVISIONER_NAME
value: fuseim.pri/ifs
- name: NFS_SERVER
value: vol
- name: NFS_PATH
value: /home/ttebdadmin/nfs/data/opv
volumes:
- name: nfs-client-root
nfs:
server: vol
path: /home/ttebdadmin/nfs/data/opv
storageClass.yaml
apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
name: nfs-storage
namespace: monitoring
provisioner: fuseim.pri/ifs
reclaimPolicy: Retain
运行上述所有文件，就创造出一个会自动帮忙创建nfs存储卷
搭建zk集群，zk集群的搭建在k8s的官方文档上有说明，可参考，地址：https://kubernetes.io/zh/docs/tutorials/stateful-application/zookeeper/
apiVersion: v1
kind: Service
metadata:
name: zk-hs
namespace: kafka
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
namespace: kafka
labels:
app: zk
spec:
ports:
- port: 2181
name: client
selector:
app: zk
---
apiVersion: policy/v1beta1
kind: PodDisruptionBudget
metadata:
name: zk-pdb
namespace: kafka
spec:
selector:
matchLabels:
app: zk
maxUnavailable: 1
---
apiVersion: apps/v1
kind: StatefulSet
metadata:
name: zk
namespace: kafka
spec:
selector:
matchLabels:
app: zk
serviceName: zk-hs
replicas: 3
updateStrategy:
type: RollingUpdate
podManagementPolicy: Parallel
template:
metadata:
labels:
app: zk
spec:
# nodeSelector:
# travis.io/schedule-only: "kafka"
tolerations:
# - key: "travis.io/schedule-only"
# operator: "Equal"
# value: "kafka"
# effect: "NoSchedule"
# - key: "travis.io/schedule-only"
# operator: "Equal"
# value: "kafka"
# effect: "NoExecute"
# tolerationSeconds: 3600
# - key: "travis.io/schedule-only"
# operator: "Equal"
# value: "kafka"
# effect: "PreferNoSchedule"
affinity:
podAntiAffinity:
requiredDuringSchedulingIgnoredDuringExecution:
- labelSelector:
matchExpressions:
- key: "app"
operator: In
values:
- zk
topologyKey: "kubernetes.io/hostname"
containers:
- name: kubernetes-zookeeper
imagePullPolicy: IfNotPresent
image: fastop/zookeeper:3.4.10
resources:
requests:
memory: "1G"
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
#This annotation is still working, however it will become fully deprecated in a future Kubernetes release.just use storageClassName.
# annotations:
# volume.beta.kubernetes.io/storage-class: nfs-storage
# volume.beta.kubernetes.io/storage-provisioner: fuseim.pri/ifs
spec:
accessModes: [ "ReadWriteMany" ]
storageClassName: nfs-storage
resources:
requests:
storage: 5G
搭建kafka集群
---
apiVersion: v1
kind: Service
metadata:
name: kafka-svc
namespace: kafka
labels:
app: kafka
spec:
ports:
- port: 9092
name: server
clusterIP: None
selector:
app: kafka
---
apiVersion: policy/v1beta1
kind: PodDisruptionBudget
metadata:
name: kafka-pdb
namespace: kafka
spec:
selector:
matchLabels:
app: kafka
minAvailable: 2
---
apiVersion: apps/v1
kind: StatefulSet
metadata:
name: kafka
namespace: kafka
spec:
selector:
matchLabels:
app: kafka
serviceName: kafka-svc
replicas: 3
template:
metadata:
labels:
app: kafka
spec:
# nodeSelector:
# travis.io/schedule-only: "kafka"
# tolerations:
# - key: "travis.io/schedule-only"
# operator: "Equal"
# value: "kafka"
# effect: "NoSchedule"
# - key: "travis.io/schedule-only"
# operator: "Equal"
# value: "kafka"
# effect: "NoExecute"
# tolerationSeconds: 3600
# - key: "travis.io/schedule-only"
# operator: "Equal"
# value: "kafka"
# effect: "PreferNoSchedule"
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: k8s-kafka
imagePullPolicy: IfNotPresent
image: fastop/kafka:2.2.0
resources:
requests:
memory: "1G"
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: datadir
mountPath: /var/lib/kafka
readinessProbe:
tcpSocket:
port: 9092
timeoutSeconds: 1
initialDelaySeconds: 5
securityContext:
runAsUser: 1000
fsGroup: 1000
volumeClaimTemplates:
- metadata:
name: datadir
#This annotation is still working, however it will become fully deprecated in a future Kubernetes release.just use storageClassName.
# annotations:
# volume.beta.kubernetes.io/storage-class: nfs-storage
# volume.beta.kubernetes.io/storage-provisioner: fuseim.pri/ifs
spec:
accessModes: [ "ReadWriteMany" ]
storageClassName: nfs-storage
resources:
requests:
storage: 1G
部署在kafka这个namesapce里面。
测试zk：
使用 zkCli.sh 脚本在 zk-0 Pod 上写入 world 到路径 /hello
kubectl exec zk-0 -n kafka zkCli.sh create /hello world
从 zk-1 Pod 获取数据。
kubectl exec zk-1 -n kafka zkCli.sh get /hello
测试kafka：
kubectl exec -it kafka-0 -n kafka -- bash
#创建test topic
>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
#查看是否有test
>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
#打开这个窗口不动
>kafka-console-consumer.sh --topic test --bootstrap-server localhost:9092
#再开一个窗口，进入kafka-1容器
kubectl exec -it kafka-1 -n kafka -- bash
#随便输入一些东西，在上面kafka-0上就会有输出
>kafka-console-producer.sh --topic test --broker-list localhost:9092
随便输入一些东西：hello
此时会在kafka-0的那边启动的kafka-console-consumer.sh会有相应的输出
连接地址：
zk:
zk-0.zk-hs.kafka.svc.cluster.local
zk-1.zk-hs.kafka.svc.cluster.local
zk-2.zk-hs.kafka.svc.cluster.local
zk-port:
2181
kafka:
kafka-0.kafka-svc.kafka.svc.cluster.local
kafka-1.kafka-svc.kafka.svc.cluster.local
kafka-2.kafka-svc.kafka.svc.cluster.local
kafka-port:
9092
参考：
https://github.com/cuishuaigit/k8s-kafka
https://kubernetes.io/zh/docs/tutorials/stateful-application/zookeeper/