server: port: 8089 spring: datasource: druid: name: master url: jdbc:mysql://127.0.0.1:3307/bike?&zeroDateTimeBehavior=convertToNull&useSSL=false username: root password: server@188.24 driver-class-name: com.mysql.jdbc.Driver type: com.alibaba.druid.pool.DruidDataSource druid: # 下面为连接池的补充设置,应用到上面所有数据源中 # 初始化大小,最小,最大 initial-size: 5 min-idle: 5 max-active: 20 # 配置获取连接等待超时的时间 max-wait: 60000 # 配置间隔多久才进行一次检测,检测需要关闭的空闲连接,单位是毫秒 time-between-eviction-runs-millis: 60000 # 配置一个连接在池中最小生存的时间,单位是毫秒 min-evictable-idle-time-millis: 300000 validation-query: SELECT 1 FROM DUAL test-while-idle: true test-on-borrow: false test-on-return: false # 打开PSCache,并且指定每个连接上PSCache的大小 pool-prepared-statements: true # 配置监控统计拦截的filters,去掉后监控界面sql无法统计,'wall'用于防火墙 max-pool-prepared-statement-per-connection-size: 20 filters: stat,wall use-global-data-source-stat: true # 通过connectProperties属性来打开mergeSql功能;慢SQL记录 connect-properties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000 redis: open: true # 是否开启redis缓存 true开启 false关闭 database: 0 host: 127.0.0.1 # 测试环境redis port: 6379 password: 3DACB724449FABEA1183729254046DFA # 密码(默认为空) jedis: pool: max-wait: -1 # 连接池最大阻塞等待时间(使用负值表示没有限制) max-idle: 10 # 连接池中的最大空闲连接 min-idle: 5 max-active: 1000 # 连接池中的最小空闲连接 logging: config: classpath:logback-dev.xml mybatis: config-location: classpath:config/mybatis.xml mapper-locations: classpath:sqlmap/*.xml dubbo: application: id: marketing name: marketing qosEnable: true qosPort: 33333 qosAcceptForeignIp: false registry: address: zookeeper://localhost:2181 protocol: name: dubbo port: 20881 scan: basePackages: com.mofang.travel consumer: timeout: 10000 check: false retries: 0 provider: retries: 0 spring.kafka.bootstrap-servers: 127.0.0.1:9092 spring.kafka.consumer.group-id: marketing spring.kafka.consumer.auto-offset-reset: latest