70 lines
2.0 KiB
YAML
70 lines
2.0 KiB
YAML
wkfow:
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auth: fk-auth
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server:
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port: 17210
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tomcat:
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uri-encoding: UTF-8
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servlet:
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context-path: /bat-wkflow
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logging:
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level:
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root: info
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org.springfromework.web: info
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org.hibernate: info
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eureka:
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client:
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serviceUrl:
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defaultZone: http:/192.168.10.47:16000/eureka/
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spring:
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application:
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name: bat-wkflow
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http:
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encoding:
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charset: UTF-8
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enabled: true
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force: true
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servlet:
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multipart:
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maxFileSize: "100MB"
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maxRequestSize: "100MB"
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datasource:
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type: com.alibaba.druid.pool.DruidDataSource
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driver-class-name: com.mysql.cj.jdbc.Driver
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url: jdbc:mysql://test.eqbidding.com:3306/bat-wkflow?nullCatalogMeansCurrent=true&serverTimezone=Asia/Shanghai&useSSL=false&characterEncoding=utf-8
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username: fxd
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password: 123456
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initialSize: 5
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minIdle: 5
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maxActive: 20
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maxWait: 60000
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timeBetweenEvictionRunsMillis: 60000
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minEvictableIdleTimeMillis: 300000
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validationQuery: SELECT 1 FROM DUAL
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testWhileIdle: true
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testOnBorrow: false
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testOnReturn: false
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slowSqlMillis: 5000
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logSlowSql: true
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# 打开PSCache
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poolPreparedStatements: true
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#配置监控统计拦截的filters，stat:监控统计、log4j：日志记录、wall：防御sql注入
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#如果运行时报错 java.lang.ClassNotFoundException: org.apache.log4j.Priority
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#则导入 log4j 依赖即可，Maven 地址： https://mvnrepository.com/artifact/log4j/log4j
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filters: stat,wall
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#指定每个连接上PSCache的大小
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maxPoolPreparedStatementPerConnectionSize: 20
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#合并多个DruidDataSource的监控数据
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useGlobalDataSourceStat: true
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stat-view-servlet:
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enabled: true
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login-username: druid
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login-password: druid
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url-pattern: /druid/*
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activiti:
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database-schema-update: true
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# 自动部署验证设置:true-开启（默认）、false-关闭
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check-process-definitions: false
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mybatis-plus:
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configuration:
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log-impl: org.apache.ibatis.logging.stdout.StdOutImpl
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