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MySQL on k8s 云原生环境部署

目录
  • 一、概述
  • 二、开始部署(一主两从)
    • 1)添加源
    • 2)修改配置
    • 3)开始安装
    • 4)测试验证
    • 5)Prometheus监控
    • 6)卸载

一、概述

mysql是一个关系型数据库管理系统,由瑞典MySQL AB 公司开发,属于 oracle 旗下产品。MySQL 是最流行的关系型数据库管理系统之一,在 WEB 应用方面,MySQL是最好的 RDBMS (Relational Database Management System,关系数据库管理系统) 应用软件之一。这里主要讲mysql部署在k8s上,mys编程客栈ql部署在k8s上的优势主要有以下几点:

  • 资源隔离
  • 动态弹性扩缩容
  • 环境一致性
  • 运维方便

官方文档:docs.oracle.com/en-us/iaas/… MySQLhttp://www.devze.com 原理介绍也可以参考我这篇文章:MySQL原理介绍

MySQL on k8s 云原生环境部署

二、开始部署(一主两从)

MySQL on k8s 云原生环境部署

1)添加源

helm repo add bitnami https://charts.bitnami.com/bitnami
helm pull bitnami/mysql
tar -xf mysql-9.3.3.tgz

2)修改配置

  • 修改mysql/values.yaml
...
image:
  registry: myharbor.com
  repository: bigdata/mysql
  tag: 8.0.30-Debian-11-r15
...
architecture: replication
...
primary:
  persistence:
    enabled: true
    size: 10Gi
    storageClass: "mysql-local-storage"
    # 目录需要提前在宿主机上创建
    local:
    - name: mysql-0
      host: "local-168-182-110"
      path: "/opt/bigdata/servers/mysql/data/data1"
  service:
    type: NodePort
    nodePorts:
      mysql: "30306"
secondary:
  replicaCount: 2
  persistence:
    enabled: true
    size: 10Gi
    storageClass: "mysql-local-storage"
    # 目录需要提前在宿主机上创建
    local:
    - name: mysql-1
      host: "local-168-182-111"
      path: "/opt/bigdata/servers/mysql/data/data1"
    - name: mysql-2
      host: "local-168-182-112"
      path: "/opt/bigdata/servers/mysql/data/data1"
  service:
    type: NodePort
    nodePorts:
      mysql: "30307"
...
metrics:
  ## @param metrics.enabled Start a side-car prometheus exporter
  ##
  enabled: true
  image:
    registry: myharbor.com
    repository: bigdata/mysqld-exporter
    tag: 0.14.0-debian-11-r33
  • 添加mysql/templates/pv.yaml
{{- range .Values.primary.persistence.local }}
---
apiVersion: v1
kind: PersistentVolume
metadata:
  name: {{ .name }}
  labels:
    name: {{ .name }}
spec:
  storageClassName: {{ $.Values.primary.persistence.storageClass }}
  capacity:
    storage: {{ $.Values.primary.persistence.size }}
  AccessModes:
    - ReadwriteOnce
  local:
    path: {{ .path }}
  nodeAffinity:
    required:
      nodeSelectorTerms:
        - matchExpressions:
            - key: kubernetes.io/hostname
              operator: In
              values:
                - {{ .host }}
---
{{- end }}
{{- range .Values.secondary.persistence.local }}
---
apiVersion: v1
kind: PersistentVolume
metadata:
  name: {{ .name }}
  labels:
    name: {{ .name }}
spec:
  storageClassName: {{ $.Values.secondary.persistence.storageClass }}
  capacity:
    storage: {{ $.Values.secondary.persistence.size }}
  accessModes:
    - ReadWriteOnce
  local:
    path: {{ .path }}
  nodeAffinity:
    required:
      nodeSelectorTerms:
        - matchExpressions:
            - key: kubernetes.io/hostname
              operator: In
              values:
                - {{ .host }}
---
{{- end }}
  • 添加mysql/templates/storage-class.yaml
kind: StorageClass
apiVerhttp://www.devze.comsion: storage.k8s.io/v1
metadata:
  name: {{ .Values.primary.persistence.storageClass }}
provisioner: kubernetes.io/no-provisioner

3)开始安装

# 创建持久化目录
mkdir -p /opt/bigdata/servers/mysql/data/data1
# 先准备python好镜像
docker pull docker.io/bitnami/mysql:8.0.30-debian-11-r15
docker tag docker.io/bitnami/mysql:8.0.30-debian-11-r15 myharbor.com/bigdata/mysql:8.0.30-debian-11-r15
docker push myharbor.com/bigdata/mysql:8.0.30-debian-11-r15
# mysqld-exporter
docker pull docker.io/bitnami/mysqld-exporter:0.14.0-debian-11-r33
docker tag docker.io/bitnami/mysqld编程客栈-exporter:0.14.0-debian-11-r33 myharbor.com/bigdata/mysqld-exporter:0.14.0-debian-11-r33
docker push myharbor.com/bigdata/mysqld-exporter:0.14.0-debian-11-r33
# 开始安装
helm install mysql ./mysql -n mysql --create-namespace

NOTES

NAME: mysql
LAST DEPLOYED: Mon Sep 19 23:57:18 2022
NAMESPACE: mysql
STATUS: deployed
REVISION: 1
TEST SUITE: None
NOTES:
CHART NAME: mysql
CHART VERSION: 9.3.3
APP VERSION: 8.0.30
** Please be patient while the chart is being deployed **
Tip:
  Watch the deployment status using the command: kubectl get pods -w --namespace mysql
Services:
  echo Primary: mysql-primary.mysql.svc.cluster.local:3306
  echo Secondary: mysql-secondary.mysql.svc.cluster.local:3306
Execute the following to get the administrator credentials:
  echo Username: root
  MYSQL_ROOT_PASSWORD=$(kubectl get secret --namespace mysql mysql -o jsonpath="{.data.mysql-root-password}" | base64 -d)
To connect to your database:
  1. Run a pod that you can use as a client:
      kubectl run mysql-client --rm --tty -i --restart='Never' --image  myharbor.com/bigdata/mysql:8.0.30-debian-11-r15 --namespace mysql --env MYSQL_ROOT_PASSWORD=$MYSQL_ROOT_PASSWORD --command -- bash
  2. To connect to primary service (read/write):
      mysql -h mysql-primary.mysql.svc.cluster.local -uroot -p"$MYSQL_ROOT_PASSWORD"
  3. To connect 开发者_oracleto secondary service (read-only):
      mysql -h mysql-secondary.mysql.svc.cluster.local -uroot -p"$MYSQL_ROOT_PASSWORD"
To access the MySQL Prometheus metrics from outside the cluster execute the following commands:
    kubectl port-forward --namespace mysql svc/mysql-metrics 9104:9104 &
    curl http://127.0.0.1:9104/metrics

MySQL on k8s 云原生环境部署

查看pod状态

kubectl get pods,svc -n mysql -owide

MySQL on k8s 云原生环境部署

4)测试验证

【温馨提示】从库(slave)是只读的。就是简单的读写测试,还有就是pod挂了,能否正常拉起等等。这个测试验证比较简单。这里就不一步步的演示了。

5)Prometheus监控

Prometheus:

MySQL on k8s 云原生环境部署

可以通过命令查看采集数据

kubectl get --raw http://10.244.0.74:9104/metrics
kubectl get --raw http://10.244.1.125:9104/metrics
kubectl get --raw http://10.244.2.178:9104/metrics

Grafana 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:7362 官方模块下载地址:grafana.com/grafana/das…

MySQL on k8s 云原生环境部署

6)卸载

helm uninstall mysql -n mysql 
kubectl delete pod -n mysql `kubectl get pod -n mysql |awk 'NR>1{print $1}'` --force
kubectl patch ns mysql -p '{"metadata":{"finalizers":null}}'
kubectl delete ns mysql --force

这里只是实现了mysql 的主从,没有实现高可用,官方目前没有出mysql ok k8s高可用的实现方案,虽然网上也有高可用的实现方案,但是我们公司没真正去落地使用,所以不予评价网上的高可用的方案,有兴趣的小伙伴可以去试试,其实mysql在大数据领域一般只是作为元数据存储,主挂了,影响不是很大。目前也在研究mysql on k8s 的高可用实现方案,如果后期有mysql on k8s高可用真正落地到生产环境中使用,到时候再来分享一下。

MySQL on k8s 环境部署就先这里了,更多关于MySQL k8s 环境部署的资料请关注我们其它相关文章!

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