server: port: 8082 servlet: context-path: /bloodAnalysis spring: main: allow-circular-references: true application: name: blood-analysis data: redis: repositories: enabled: false datasource: type: com.alibaba.druid.pool.DruidDataSource initialSize: 10 minIdle: 10 maxActive: 200 # 配置获取连接等待超时的时间 maxWait: 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 timeBetweenEvictionRunsMillis: 60000 # 配置一个连接在池中最小生存的时间,单位是毫秒 minEvictableIdleTimeMillis: 30000 validationQuery: select 'x' testWhileIdle: true testOnBorrow: false testOnReturn: false # 打开PSCache,并且指定每个连接上PSCache的大小 poolPreparedStatements: true maxPoolPreparedStatementPerConnectionSize: 20 # 配置监控统计拦截的filters filters: stat,wall,slf4j # 通过connectProperties属性来打开mergeSql功能;慢SQL记录 connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000 redis: host: 192.168.0.3 # host: 127.0.0.1 port: 6379 master: datasource: # url: jdbc:mysql://192.168.0.3:3306/TrunkSystem?useUnicode=true&characterEncoding=utf-8&useSSL=false&serverTimezone=Asia/Shanghai&allowPublicKeyRetrieval=true # username: admin # password: 123456 url: jdbc:mysql://47.113.147.166:3306/vfa_test_0115?useUnicode=true&characterEncoding=utf-8&useSSL=false&serverTimezone=Asia/Shanghai&allowPublicKeyRetrieval=true username: dbf password: 1q2w3e4r driverClassName: com.mysql.cj.jdbc.Driver mybatis: mapper-locations: classpath:mapper/*.xml type-aliases-package: com.xgqc.dispatch.entity configuration: # log-impl: org.apache.ibatis.logging.stdout.StdOutImpl log-impl: org.apache.ibatis.logging.log4j2.Log4j2Impl type-handlers-package: com.xgqc.dispatch.typeHandler pagehelper: # helper-dialect: mysql params: count=countSql reasonable: true support-methods-arguments: true auto-runtime-dialect: true auto-dialect: true logging: config: classpath:log4j2-dev.xml level: com.xgqc.dispatch.mapper: DEBUG blood-analysis: pageNum: 1 pageSize: 1000 databaseUrl: http://47.121.207.11:12345/dolphinscheduler/datasources/withpwdlist?pageNo=1&pageSize=100