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100
data-collect-service/src/main/resources/application-dev.yml
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100
data-collect-service/src/main/resources/application-dev.yml
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server:
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port: 8010
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servlet:
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context-path: /api
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#swagger2配置
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swagger2:
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enable: true #开启swagger
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projectName: 云平台--business-前端接口
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controllerPath: com.ho.datacollect.controller
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#mqtt
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mqtt:
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url: tcp://123.60.190.77:1883 # 线上环境MQTT
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userName: admin
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passWord: public
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timeout: 5000
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keepAlive: 60
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#密钥
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secret:
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loginSecret: 6131231@#42a765#
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#topic
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topic:
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edgeLoginRequest: +/device/+/login/request
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cloudLoginResponse: +/cloud/+/login/response
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cloudReadRequest: +/cloud/+/read/request
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edgeReadResponse: +/device/+/read/response
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cloudWriteRequest: +/cloud/+/write/request
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edgeWriteResponse: +/device/+/write/response
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cloudReportPush: +/cloud/+/report/push
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edgeReportPush: +/device/+/report/push
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cloudControlRequest: +/cloud/+/control/request
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edgeControlResponse: +/device/+/control/response
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spring:
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jackson:
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time-zone: GMT+8
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application:
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name: datacollect-service
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cloud:
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nacos:
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discovery:
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server-addr: 127.0.0.1:8848
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datasource:
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driver-class-name: com.mysql.cj.jdbc.Driver
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#url: jdbc:mysql://1.95.153.121:3306/business_db?useUnicode=true&characterEncoding=utf-8&serverTimezone=Asia/Shanghai
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url: jdbc:mysql://192.168.100.244:3306/business_db?useUnicode=true&characterEncoding=utf-8&serverTimezone=Asia/Shanghai
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#username: zzkj
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username: root
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#password: zzkj@688737
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password: 123456
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druid:
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initialSize: 5
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minIdle: 5
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maxActive: 5
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keepAlive: true #保持长连接
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connection-error-retry-attempts: 3
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#Redis
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redis:
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port: 6379 #端口
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timeout: 3000ms #连接超时
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#host: 1.95.153.121 #单机
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host: 192.168.100.242 #单机
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#password: zzkj@688737
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password: 123456
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database: 0
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#port: 6379 #端口
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#timeout: 5000ms #连接超时
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#host: 127.0.0.1 #单机
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#password:
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#database: 0
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#集群 真实环境开启
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# cluster:
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# nodes:
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# - 127.0.0.1:6379
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# - 127.0.0.1:6380
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# - 127.0.0.1:6381
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lettuce:
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pool:
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max-active: 8 #连接池最大连接 默认8
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max-idle: 8 #连接池中最大空闲连接 默认8
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min-idle: 1 #连接池中最小空闲连接 默认0
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max-wait: 2000ms #连接池最大阻塞等待时间 使用负值表示没有限制
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minio:
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accessKey: admin
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secretKey: zzkj@688737
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endpoint: http://192.168.0.236:9000
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prefixUrl: http://192.168.0.236:9000
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#跳过登录：true ,不跳过：false
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skipLogin: false
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3
data-collect-service/src/main/resources/application.yml
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3
data-collect-service/src/main/resources/application.yml
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spring:
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profiles:
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active: dev
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73
data-collect-service/src/main/resources/bootstrap.yml
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data-collect-service/src/main/resources/bootstrap.yml
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spring:
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#caffeine缓存
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cache:
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type: caffeine
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caffeine:
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spec: initialCapacity=50,maximumSize=500,expireAfterWrite=300s
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cache-names: stationBySn,device,modelConfigList,topologyList
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mybatis:
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type-aliases-package: com.ho.datacollect.entity
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mapper-locations: classpath:mapper/*.xml
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configuration:
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#驼峰
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mapUnderscoreToCamelCase: true
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#Logging
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logging:
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config: classpath:logback.xml
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level:
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com.ho.datacollect.mapper: info
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#水电气转换系数 todo 转换系数
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energy:
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convertFactor:
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elec: 2
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water: 2
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gas: 2
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#二氧化碳到煤的转换系数
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co2ToCole: 0.4
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#二氧化碳到树的转化系数
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co2ToTree: 1800
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#二氧化碳到汽油的转化系数
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co2ToGasoline: 2.30
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#树到平方公里的转化系数
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treeToSquareKilometer: 40000
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#对比电站下的采集点时间差值
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station:
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timeDifference: 10
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#逆变器配置
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inverter:
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#查询逆变器发电量的时间间隔 分钟
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timeInterval: 15
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co2Factor: 0.997
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five: 5
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# 大屏配置
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largeScreen:
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#收益系数
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income: 0.6
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#mqtt接外部数据使用
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mqtt1:
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url: tcp://1.95.131.171:1883
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userName: root
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passWord: zzkj@688737
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timeout: 5000
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keepAlive: 60
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#默认逻辑开关控制 使用默认逻辑为true，不使用为false
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switch:
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#心跳
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controlResponseConsumerDefaultLogic: true
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#登录
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loginRequestConsumerDefaultLogic: true
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#响应边端
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readResponseConsumerDefaultLogic: true
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#上送
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reportPushConsumerDefaultLogic: true
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#写返回
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writeResponseConsumerDefaultLogic: true
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70
data-collect-service/src/main/resources/logback.xml
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70
data-collect-service/src/main/resources/logback.xml
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<?xml version="1.0" encoding="UTF-8"?>
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<!DOCTYPE xml>
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<configuration>
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<appender name="console" class="ch.qos.logback.core.ConsoleAppender">
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<encoder>
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<pattern>%date{yyyy-MM-dd HH:mm:ss.SSS,CTT} [%thread] %-5level %logger{36} - %msg%n
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</pattern>
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</encoder>
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</appender>
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<appender name="rollingFile" class="ch.qos.logback.core.rolling.RollingFileAppender">
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<file>/home/hocloud/logs/datacollect-service/datacollect-service.log</file>
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<rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
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<fileNamePattern>/home/hocloud/logs/datacollect-service/datacollect-service.%d{yyyy-MM-dd}-%i.log
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</fileNamePattern>
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<maxHistory>10</maxHistory>
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<!-- 除按日志记录之外，还配置了日志文件不能超过2M，若超过2M，日志文件会以索引0开始，
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命名日志文件，例如log-error-2013-12-21.0.log -->
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<timeBasedFileNamingAndTriggeringPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP">
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<maxFileSize>256MB</maxFileSize>
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</timeBasedFileNamingAndTriggeringPolicy>
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</rollingPolicy>
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<encoder>
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<pattern>%date{yyyy-MM-dd HH:mm:ss.SSS,CTT} [%thread] %-5level %logger{36} - %msg%n
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</pattern>
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</encoder>
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</appender>
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<!--Error级别-->
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<appender name="errorFile" class="ch.qos.logback.core.rolling.RollingFileAppender">
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<file>/home/hocloud/logs/datacollect-service/datacollect-service-error.log</file>
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<rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
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<fileNamePattern>/home/hocloud/logs/datacollect-service/datacollect-service-error.%d{yyyy-MM-dd}-%i.log
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</fileNamePattern>
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<!--180天-->
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<maxHistory>10</maxHistory>
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<!-- 除按日志记录之外，还配置了日志文件不能超过2M，若超过2M，日志文件会以索引0开始，
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命名日志文件，例如log-error-2013-12-21.0.log -->
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<timeBasedFileNamingAndTriggeringPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP">
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<maxFileSize>256MB</maxFileSize>
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</timeBasedFileNamingAndTriggeringPolicy>
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</rollingPolicy>
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<encoder>
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<pattern>%date{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %msg%n
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</pattern>
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</encoder>
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<!-- 此filter过滤debug级别以下的日志-->
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<filter class="ch.qos.logback.classic.filter.ThresholdFilter">
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<level>ERROR</level>
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</filter>
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<!-- 级别过滤器，根据日志级别进行过滤。-->
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<filter class="ch.qos.logback.classic.filter.LevelFilter">
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<level>ERROR</level>
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<onMatch>ACCEPT</onMatch>
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<onMismatch>DENY</onMismatch>
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</filter>
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</appender>
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<!-- project default level -->
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<logger name="com.ho.business" level="info"/>
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<!--log4jdbc -->
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<logger name="jdbc.sqltiming" level="DEBUG"/>
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<root level="INFO">
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<appender-ref ref="console"/>
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<appender-ref ref="rollingFile"/>
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<appender-ref ref="errorFile"/>
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</root>
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</configuration>
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