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136 lines
5.0 KiB
Plaintext
136 lines
5.0 KiB
Plaintext
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## kafka-manager的配置文件，该文件中的配置会覆盖默认配置
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## 下面的配置信息基本就是jar中的 application.yml默认配置了;
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## 可以只修改自己变更的配置,其他的删除就行了; 比如只配置一下mysql
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server:
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port: 8080
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tomcat:
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accept-count: 1000
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max-connections: 10000
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max-threads: 800
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min-spare-threads: 100
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spring:
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application:
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name: kafkamanager
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profiles:
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active: dev
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datasource:
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kafka-manager:
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jdbc-url: jdbc:mysql://localhost:3306/logi_kafka_manager?characterEncoding=UTF-8&useSSL=false&serverTimezone=GMT%2B8
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username: root
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password: 123456
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driver-class-name: com.mysql.cj.jdbc.Driver
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main:
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allow-bean-definition-overriding: true
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servlet:
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multipart:
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max-file-size: 100MB
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max-request-size: 100MB
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logging:
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config: classpath:logback-spring.xml
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custom:
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idc: cn
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store-metrics-task:
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community:
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topic-metrics-enabled: true
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didi: # 滴滴Kafka特有的指标
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app-topic-metrics-enabled: false
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topic-request-time-metrics-enabled: false
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topic-throttled-metrics-enabled: false
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# 任务相关的配置
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task:
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op:
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sync-topic-enabled: false # 未落盘的Topic定期同步到DB中
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order-auto-exec: # 工单自动化审批线程的开关
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topic-enabled: false # Topic工单自动化审批开关, false:关闭自动化审批, true:开启
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app-enabled: false # App工单自动化审批开关, false:关闭自动化审批, true:开启
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metrics:
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collect: # 收集指标
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broker-metrics-enabled: true # 收集Broker指标
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sink: # 上报指标
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cluster-metrics: # 上报cluster指标
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sink-db-enabled: true # 上报到db
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broker-metrics: # 上报broker指标
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sink-db-enabled: true # 上报到db
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delete: # 删除指标
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delete-limit-size: 1000 # 单次删除的批大小
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cluster-metrics-save-days: 14 # 集群指标保存天数
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broker-metrics-save-days: 14 # Broker指标保存天数
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topic-metrics-save-days: 7 # Topic指标保存天数
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topic-request-time-metrics-save-days: 7 # Topic请求耗时指标保存天数
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topic-throttled-metrics-save-days: 7 # Topic限流指标保存天数
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app-topic-metrics-save-days: 7 # App+Topic指标保存天数
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thread-pool:
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collect-metrics:
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thread-num: 256 # 收集指标线程池大小
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queue-size: 5000 # 收集指标线程池的queue大小
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api-call:
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thread-num: 16 # api服务线程池大小
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queue-size: 5000 # api服务线程池的queue大小
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client-pool:
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kafka-consumer:
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min-idle-client-num: 24 # 最小空闲客户端数
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max-idle-client-num: 24 # 最大空闲客户端数
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max-total-client-num: 24 # 最大客户端数
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borrow-timeout-unit-ms: 3000 # 租借超时时间，单位毫秒
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account:
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jump-login:
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gateway-api: false # 网关接口
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third-part-api: false # 第三方接口
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ldap:
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enabled: false
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url: ldap://127.0.0.1:389/
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basedn: dc=tsign,dc=cn
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factory: com.sun.jndi.ldap.LdapCtxFactory
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filter: sAMAccountName
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security:
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authentication: simple
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principal: cn=admin,dc=tsign,dc=cn
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credentials: admin
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auth-user-registration: true
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auth-user-registration-role: normal
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kcm: # 集群安装部署，仅安装broker
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enabled: false # 是否开启
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s3: # s3 存储服务
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endpoint: s3.didiyunapi.com
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access-key: 1234567890
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secret-key: 0987654321
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bucket: logi-kafka
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n9e: # 夜莺
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base-url: http://127.0.0.1:8004 # 夜莺job服务地址
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user-token: 12345678 # 用户的token
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timeout: 300 # 当台操作的超时时间
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account: root # 操作时使用的账号
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script-file: kcm_script.sh # 脚本，已内置好，在源码的kcm模块内，此处配置无需修改
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logikm-url: http://127.0.0.1:8080 # logikm部署地址，部署时kcm_script.sh会调用logikm检查部署中的一些状态
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monitor:
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enabled: false
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n9e:
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nid: 2
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user-token: 1234567890
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mon:
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base-url: http://127.0.0.1:8000 # 夜莺v4版本，默认端口统一调整为了8000
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sink:
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base-url: http://127.0.0.1:8000 # 夜莺v4版本，默认端口统一调整为了8000
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rdb:
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base-url: http://127.0.0.1:8000 # 夜莺v4版本，默认端口统一调整为了8000
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notify:
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kafka:
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cluster-id: 95
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topic-name: didi-kafka-notify
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order:
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detail-url: http://127.0.0.1
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