payroll/deploy/application-prod.yml

server:
  port: 8080
  servlet:
    context-path: /api

spring:
  application:
    name: payroll-system
  
  # 数据源配置 - 生产环境
  datasource:
    type: com.alibaba.druid.pool.DruidDataSource
    druid:
      driver-class-name: com.mysql.cj.jdbc.Driver
      # 生产环境数据库地址,需要根据实际情况修改
      url: jdbc:mysql://localhost:3306/payroll_system?useUnicode=true&characterEncoding=utf8&serverTimezone=Asia/Shanghai&useSSL=false&allowPublicKeyRetrieval=true
      username: root
      password: root
      # 连接池配置
      initial-size: 10
      min-idle: 10
      max-active: 50
      max-wait: 60000
      time-between-eviction-runs-millis: 60000
      min-evictable-idle-time-millis: 300000
      validation-query: SELECT 1
      test-while-idle: true
      test-on-borrow: false
      test-on-return: false
      # 生产环境关闭Druid监控
      stat-view-servlet:
        enabled: false
      filter:
        stat:
          enabled: true
          log-slow-sql: true
          slow-sql-millis: 2000
  
  # Redis配置 - 生产环境
  redis:
    host: localhost
    port: 6379
    password: 
    database: 0
    timeout: 5000
    lettuce:
      pool:
        max-active: 20
        max-wait: -1
        max-idle: 10
        min-idle: 5
  
  # Jackson配置
  jackson:
    time-zone: GMT+8
    date-format: yyyy-MM-dd HH:mm:ss
    serialization:
      write-dates-as-timestamps: false

# MyBatis Plus配置
mybatis-plus:
  mapper-locations: classpath*:/mapper/**/*.xml
  type-aliases-package: com.payroll.entity
  configuration:
    map-underscore-to-camel-case: true
    # 生产环境关闭SQL日志
    log-impl: org.apache.ibatis.logging.nologging.NoLoggingImpl
  global-config:
    db-config:
      id-type: auto
      logic-delete-field: deleted
      logic-delete-value: 1
      logic-not-delete-value: 0

# JWT配置
jwt:
  secret: payroll-system-secret-key-2024-must-be-at-least-256-bits
  expiration: 86400000  # 24小时,单位毫秒
  header: Authorization
  prefix: Bearer 

# 日志配置 - 生产环境
logging:
  level:
    root: INFO
    com.payroll: INFO
    com.payroll.mapper: WARN
  pattern:
    console: '%d{yyyy-MM-dd HH:mm:ss} [%thread] %-5level %logger{50} - %msg%n'
  file:
    name: logs/payroll-system.log
    max-size: 100MB
    max-history: 30