mirror of
https://github.com/didi/KnowStreaming.git
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梳理Task模块任务-BrokerMetrics任务梳理
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zengqiao
@@ -27,7 +27,6 @@ spring:
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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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@@ -37,28 +36,32 @@ logging:
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config: classpath:logback-spring.xml
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custom:
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idc: cn # 部署的数据中心, 忽略该配置, 后续会进行删除
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jmx:
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max-conn: 10 # 2.3版本配置不在这个地方生效
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idc: cn
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store-metrics-task:
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community:
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broker-metrics-enabled: true # 社区部分broker metrics信息收集开关, 关闭之后metrics信息将不会进行收集及写DB
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topic-metrics-enabled: true # 社区部分topic的metrics信息收集开关, 关闭之后metrics信息将不会进行收集及写DB
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didi:
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app-topic-metrics-enabled: false # 滴滴埋入的指标, 社区AK不存在该指标，因此默认关闭
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topic-request-time-metrics-enabled: false # 滴滴埋入的指标, 社区AK不存在该指标，因此默认关闭
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topic-throttled-metrics-enabled: false # 滴滴埋入的指标, 社区AK不存在该指标，因此默认关闭
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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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# 任务相关的开关
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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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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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delete-metrics:
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delete-limit-size: 1000
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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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@@ -66,64 +69,6 @@ task:
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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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# ldap相关的配置
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account:
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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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# 集群升级部署相关的功能，需要配合夜莺及S3进行使用
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kcm:
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enabled: false
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s3:
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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:
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base-url: http://127.0.0.1:8004
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user-token: 12345678
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timeout: 300
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account: root
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script-file: kcm_script.sh
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# 监控告警相关的功能，需要配合夜莺进行使用
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# enabled: 表示是否开启监控告警的功能, true: 开启, false: 不开启
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# n9e.nid: 夜莺的节点ID
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# n9e.user-token: 用户的密钥，在夜莺的个人设置中
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# n9e.mon.base-url: 监控地址
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# n9e.sink.base-url: 数据上报地址
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# n9e.rdb.base-url: 用户资源中心地址
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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: # 通知的功能
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kafka: # 默认通知发送到kafka的指定Topic中
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cluster-id: 95 # Topic的集群ID
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topic-name: didi-kafka-notify # Topic名称
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order: # 部署的KM的地址
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detail-url: http://127.0.0.1
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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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@@ -137,4 +82,51 @@ client-pool:
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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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borrow-timeout-unit-ms: 3000 # 租借超时时间，单位毫秒
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account:
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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:
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enabled: false
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s3:
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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:
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base-url: http://127.0.0.1:8004
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user-token: 12345678
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timeout: 300
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account: root
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script-file: kcm_script.sh
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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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