Kubernetes 1.20.15 部署 MySQL 5.6：性能优化、并发设置、创建 face_server

Kubernetes 1.20.15 部署 MySQL 5.6

本文将详细介绍如何在 Kubernetes 1.20.15 上部署 MySQL 5.6，并针对性能进行优化，以及创建 face_server 数据库。

1. 部署 MySQL

apiVersion: v1
kind: Service
metadata:
  name: mysql
  labels:
    app: mysql
spec:
  ports:
  - port: 3306
    name: mysql
  selector:
    app: mysql
  clusterIP: None
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: mysql
spec:
  selector:
    matchLabels:
      app: mysql
  strategy:
    type: Recreate
  template:
    metadata:
      labels:
        app: mysql
    spec:
      containers:
      - name: mysql
        image: mysql:5.6
        env:
          - name: MYSQL_ROOT_PASSWORD
            value: 'PBssNKVH4A5JhzkR'
        ports:
        - containerPort: 3306
        volumeMounts:
        - name: mysql-persistent-storage
          mountPath: /var/lib/mysql
        resources:
          limits:
            memory: '8Gi'
            cpu: '2'
          requests:
            memory: '8Gi'
            cpu: '2'
      volumes:
      - name: mysql-persistent-storage
        emptyDir: {}

2. 创建 face_server 数据库

apiVersion: v1
kind: Service
metadata:
  name: face-server
spec:
  ports:
  - port: 80
    targetPort: 80
    protocol: TCP
  selector:
    app: face-server
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: face-server
spec:
  replicas: 1
  selector:
    matchLabels:
      app: face-server
  template:
    metadata:
      labels:
        app: face-server
    spec:
      containers:
      - name: face-server
        image: your-face-server-image
        ports:
        - containerPort: 80
        env:
        - name: MYSQL_HOST
          value: 'mysql'
        - name: MYSQL_USER
          value: 'root'
        - name: MYSQL_PASSWORD
          value: 'PBssNKVH4A5JhzkR'
        - name: MYSQL_DATABASE
          value: 'face_server'
        resources:
          limits:
            memory: '8Gi'
            cpu: '2'
          requests:
            memory: '8Gi'
            cpu: '2'
      imagePullSecrets:
      - name: your-image-pull-secret
      volumes:
      - name: face-server-persistent-storage
        emptyDir: {}

3. 优化 MySQL 性能

1. 设置并发连接数：通过配置 max_connections 参数，将并发连接数设置为 2000。
2. 其他优化：根据实际情况，可以调整 innodb_buffer_pool_size、query_cache_size 等参数来优化 MySQL 性能。

4. 使用 HPA 自动调整 Pod 数量

apiVersion: autoscaling/v2beta2
kind: HorizontalPodAutoscaler
metadata:
  name: face-server-hpa
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: face-server
  minReplicas: 1
  maxReplicas: 10
  metrics:
  - type: Resource
    resource:
      name: cpu
      target:
        type: Utilization
        averageUtilization: 50
  - type: Pods
    pods:
      metricName: http_requests_total
      targetAverageValue: 2000

5. 使用 PDB 保证服务稳定性

apiVersion: policy/v1beta1
kind: PodDisruptionBudget
metadata:
  name: face-server-pdb
spec:
  minAvailable: 1
  selector:
    matchLabels:
      app: face-server

总结

本文介绍了在 Kubernetes 1.20.15 上部署 MySQL 5.6，并对性能进行了优化，并通过 HPA 和 PDB 保证服务的稳定性。在实际应用中，您需要根据具体情况进行调整。