Zookeeper和Kafka on k8s 部署
Posted 果子哥丶
tags:
篇首语：本文由小常识网(cha138.com)小编为大家整理，主要介绍了Zookeeper和Kafka on k8s 部署相关的知识，希望对你有一定的参考价值。
这里写目录标题
一、概述
- Apache ZooKeeper 是一个集中式服务，用于维护配置信息、命名、提供分布式同步和提供组服务，ZooKeeper 致力于开发和维护一个开源服务器，以实现高度可靠的分布式协调，其实也可以认为就是一个分布式数据库，只是结构比较特殊，是树状结构。官网文档：
https://zookeeper.apache.org/doc/r3.8.0/
- Kafka是最初由 Linkedin 公司开发，是一个分布式、支持分区的（partition）、多副本的（replica），基于 zookeeper 协调的分布式消息系统。官方文档：
https://kafka.apache.org/documentation/
二、Zookeeper on k8s 部署
1）添加源
部署包地址：
https://artifacthub.io/packages/helm/zookeeper/zookeeper
helm repo add bitnami https://charts.bitnami.com/bitnami
helm pull bitnami/zookeeper
tar -xf zookeeper-10.2.1.tgz
2）修改配置
修改zookeeper/values.yaml
image:
registry: myharbor.com
repository: bigdata/zookeeper
tag: 3.8.0-debian-11-r36
...
replicaCount: 3
...
service:
type: NodePort
nodePorts:
#NodePort 默认范围是 30000-32767
client: "32181"
tls: "32182"
...
persistence:
storageClass: "zookeeper-local-storage"
size: "10Gi"
# 目录需要提前在宿主机上创建
local:
- name: zookeeper-0
host: "local-168-182-110"
path: "/opt/bigdata/servers/zookeeper/data/data1"
- name: zookeeper-1
host: "local-168-182-111"
path: "/opt/bigdata/servers/zookeeper/data/data1"
- name: zookeeper-2
host: "local-168-182-112"
path: "/opt/bigdata/servers/zookeeper/data/data1"
...
# Enable Prometheus to access ZooKeeper metrics endpoint
metrics:
enabled: true
添加zookeeper/templates/pv.yaml
- range .Values.persistence.local
---
apiVersion: v1
kind: PersistentVolume
metadata:
name: .name
labels:
name: .name
spec:
storageClassName: $.Values.persistence.storageClass
capacity:
storage: $.Values.persistence.size
accessModes:
- ReadWriteOnce
local:
path: .path
nodeAffinity:
required:
nodeSelectorTerms:
- matchExpressions:
- key: kubernetes.io/hostname
operator: In
values:
- .host
---
- end
添加zookeeper/templates/storage-class.yaml
kind: StorageClass
apiVersion: storage.k8s.io/v1
metadata:
name: .Values.persistence.storageClass
provisioner: kubernetes.io/no-provisioner
3）开始安装
# 先准备好镜像
docker pull docker.io/bitnami/zookeeper:3.8.0-debian-11-r36
docker tag docker.io/bitnami/zookeeper:3.8.0-debian-11-r36 myharbor.com/bigdata/zookeeper:3.8.0-debian-11-r36
docker push myharbor.com/bigdata/zookeeper:3.8.0-debian-11-r36
# 开始安装
helm install zookeeper ./zookeeper -n zookeeper --create-namespace
查看 pod 状态
kubectl get pods,svc -n zookeeper -o wide
4）测试验证
# 登录zookeeper pod
kubectl exec -it zookeeper-0 -n zookeeper -- zkServer.sh status
kubectl exec -it zookeeper-1 -n zookeeper -- zkServer.sh status
kubectl exec -it zookeeper-2 -n zookeeper -- zkServer.sh status
kubectl exec -it zookeeper-0 -n zookeeper -- bash
5）Prometheus 监控
Prometheus：https://prometheus.k8s.local/targets?search=zookeeper
可以通过命令查看采集数据
kubectl get --raw http://10.244.0.52:9141/metrics
kubectl get --raw http://10.244.1.101:9141/metrics
kubectl get --raw http://10.244.2.137:9141/metrics
Grafana：https://grafana.k8s.local/
账号：admin，密码通过下面命令获取
kubectl get secret --namespace grafana grafana -o jsonpath=".data.admin-password" | base64 --decode ; echo
导入 grafana 模板，集群资源监控：10465
官方模块下载地址：https://grafana.com/grafana/dashboards/
6）卸载
helm uninstall zookeeper -n zookeeper
kubectl delete pod -n zookeeper `kubectl get pod -n zookeeper|awk 'NR>1print $1'` --force
kubectl patch ns zookeeper -p '"metadata":"finalizers":null'
kubectl delete ns zookeeper --force
三、Kafka on k8s 部署
1）添加源
部署包地址：https://artifacthub.io/packages/helm/bitnami/kafka
helm repo add bitnami https://charts.bitnami.com/bitnami
helm pull bitnami/kafka
tar -xf kafka-18.4.2.tgz
2）修改配置
修改kafka/values.yaml
image:
registry: myharbor.com
repository: bigdata/kafka
tag: 3.2.1-debian-11-r16
...
replicaCount: 3
...
service:
type: NodePort
nodePorts:
client: "30092"
external: "30094"
...
externalAccess
enabled: true
service:
type: NodePort
nodePorts:
- 30001
- 30002
- 30003
useHostIPs: true
...
persistence:
storageClass: "kafka-local-storage"
size: "10Gi"
# 目录需要提前在宿主机上创建
local:
- name: kafka-0
host: "local-168-182-110"
path: "/opt/bigdata/servers/kafka/data/data1"
- name: kafka-1
host: "local-168-182-111"
path: "/opt/bigdata/servers/kafka/data/data1"
- name: kafka-2
host: "local-168-182-112"
path: "/opt/bigdata/servers/kafka/data/data1"
...
metrics:
kafka:
enabled: true
image:
registry: myharbor.com
repository: bigdata/kafka-exporter
tag: 1.6.0-debian-11-r8
jmx:
enabled: true
image:
registry: myharbor.com
repository: bigdata/jmx-exporter
tag: 0.17.1-debian-11-r1
annotations:
prometheus.io/path: "/metrics"
...
zookeeper:
enabled: false
...
externalZookeeper
servers:
- zookeeper-0.zookeeper-headless.zookeeper
- zookeeper-1.zookeeper-headless.zookeeper
- zookeeper-2.zookeeper-headless.zookeeper
添加kafka/templates/pv.yaml
- range .Values.persistence.local
---
apiVersion: v1
kind: PersistentVolume
metadata:
name: .name
labels:
name: .name
spec:
storageClassName: $.Values.persistence.storageClass
capacity:
storage: $.Values.persistence.size
accessModes:
- ReadWriteOnce
local:
path: .path
nodeAffinity:
required:
nodeSelectorTerms:
- matchExpressions:
- key: kubernetes.io/hostname
operator: In
values:
- .host
---
- end
添加kafka/templates/storage-class.yaml
kind: StorageClass
apiVersion: storage.k8s.io/v1
metadata:
name: .Values.persistence.storageClass
provisioner: kubernetes.io/no-provisioner
3）开始安装
# 先准备好镜像
docker pull docker.io/bitnami/kafka:3.2.1-debian-11-r16
docker tag docker.io/bitnami/kafka:3.2.1-debian-11-r16 myharbor.com/bigdata/kafka:3.2.1-debian-11-r16
docker push myharbor.com/bigdata/kafka:3.2.1-debian-11-r16
# node-export
docker pull docker.io/bitnami/kafka-exporter:1.6.0-debian-11-r8
docker tag docker.io/bitnami/kafka-exporter:1.6.0-debian-11-r8 myharbor.com/bigdata/kafka-exporter:1.6.0-debian-11-r8
docker push myharbor.com/bigdata/kafka-exporter:1.6.0-debian-11-r8
# JXM
docker.io/bitnami/jmx-exporter:0.17.1-debian-11-r1
docker tag docker.io/bitnami/jmx-exporter:0.17.1-debian-11-r1 myharbor.com/bigdata/jmx-exporter:0.17.1-debian-11-r1
docker push myharbor.com/bigdata/jmx-exporter:0.17.1-debian-11-r1
#开始安装
helm install kafka ./kafka -n kafka --create-namespace
查看 pod 状态
kubectl get pods,svc -n kafka -o wide
4）测试验证
# 登录zookeeper pod
kubectl exec -it kafka-0 -n kafka -- bash
1、创建 Topic（一个副本一个分区）
--create： 指定创建topic动作
--topic：指定新建topic的名称
--bootstrap-server： 指定kafka连接地址
--config：指定当前topic上有效的参数值，参数列表参考文档为: Topic-level configuration
--partitions：指定当前创建的kafka分区数量，默认为1个
--replication-factor：指定每个分区的复制因子个数，默认1个
kafka-topics.sh --create --topic test001 --bootstrap-server kafka.kafka:9092 --partitions 1 --replication-factor 1
# 查看
kafka-topics.sh --describe --bootstrap-server kafka.kafka:9092 --topic test001
2、查看 Topic 列表
kafka-topics.sh --list --bootstrap-server kafka.kafka:9092
3、生产者/消费者测试
【生产者】
kafka-console-producer.sh --broker-list kafka.kafka:9092 --topic test001
"id":"1","name":"n1","age":"20"
"id":"2","name":"n2","age":"21"
"id":"3","name":"n3","age":"22"
【消费者】
# 从头开始消费
kafka-console-consumer.sh --bootstrap-server kafka.kafka:9092 --topic test001 --from-beginning
# 指定从分区的某个位置开始消费，这里只指定了一个分区，可以多写几行或者遍历对应的所有分区
kafka-console-consumer.sh --bootstrap-server kafka.kafka:9092 --topic test001 --partition 0 --offset 100 --group test001
4、查看数据积压
kafka-consumer-groups.sh --bootstrap-server kafka.kafka:9092 --describe --group test001
5、删除 topic
kafka-topics.sh --delete --topic test001 --bootstrap-server kafka.kafka:9092
5）Prometheus 监控
Prometheus：https://prometheus.k8s.local/targets?search=kafka
可以通过命令查看采集数据
kubectl get --raw http://10.244.2.165:9308/metrics
Grafana：https://grafana.k8s.local/
账号：admin，密码通过下面命令获取
kubectl get secret --namespace grafana grafana -o jsonpath=".data.admin-password" | base64 --decode ; echo
导入 grafana 模板，集群资源监控：11962
官方模块下载地址：https://grafana.com/grafana/dashboards/
6）卸载
helm uninstall kafka -n kafka
kubectl delete pod -n kafka `kubectl get pod -n kafka|awk 'NR>1print $1'` --force
kubectl patch ns kafka -p '"metadata":"finalizers":null'
kubectl delete ns kafka --force
zookeeper + kafka on k8s 环境部署
以上是关于Zookeeper和Kafka on k8s 部署的主要内容，如果未能解决你的问题，请参考以下文章