## kafka-manager的配置文件，该文件中的配置会覆盖默认配置
## 下面的配置信息基本就是jar中的 application.yml默认配置了;
## 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


server:
  port: 8080
  tomcat:
    accept-count: 1000
    max-connections: 10000
    max-threads: 800
    min-spare-threads: 100

spring:
  application:
    name: kafkamanager
    version: 2.6.0
  profiles:
    active: dev
  datasource:
    kafka-manager:
      jdbc-url: jdbc:mysql://localhost:3306/logi_kafka_manager?characterEncoding=UTF-8&useSSL=false&serverTimezone=GMT%2B8
      username: root
      password: 123456
      driver-class-name: com.mysql.cj.jdbc.Driver
  main:
    allow-bean-definition-overriding: true

  servlet:
    multipart:
      max-file-size: 100MB
      max-request-size: 100MB

logging:
  config: classpath:logback-spring.xml

custom:
  idc: cn
  store-metrics-task:
    community:
      topic-metrics-enabled: true
    didi: # 滴滴Kafka特有的指标
      app-topic-metrics-enabled: false
      topic-request-time-metrics-enabled: false
      topic-throttled-metrics-enabled: false

# 任务相关的配置
task:
  op:
    sync-topic-enabled: false                       # 未落盘的Topic定期同步到DB中
    order-auto-exec:                                # 工单自动化审批线程的开关
      topic-enabled: false                          # Topic工单自动化审批开关, false:关闭自动化审批, true:开启
      app-enabled: false                            # App工单自动化审批开关, false:关闭自动化审批, true:开启
  metrics:
    collect:                                # 收集指标
      broker-metrics-enabled: true          # 收集Broker指标
    sink:                                       # 上报指标
      cluster-metrics:                          # 上报cluster指标
        sink-db-enabled: true                   # 上报到db
      broker-metrics:                           # 上报broker指标
        sink-db-enabled: true                   # 上报到db
    delete:                                           # 删除指标
      delete-limit-size: 1000                         # 单次删除的批大小
      cluster-metrics-save-days: 14                   # 集群指标保存天数
      broker-metrics-save-days: 14                    # Broker指标保存天数
      topic-metrics-save-days: 7                      # Topic指标保存天数
      topic-request-time-metrics-save-days: 7         # Topic请求耗时指标保存天数
      topic-throttled-metrics-save-days: 7            # Topic限流指标保存天数
      app-topic-metrics-save-days: 7                  # App+Topic指标保存天数

thread-pool:
  collect-metrics:
    thread-num: 256  # 收集指标线程池大小
    queue-size: 5000 # 收集指标线程池的queue大小
  api-call:
    thread-num: 16   # api服务线程池大小
    queue-size: 5000 # api服务线程池的queue大小

client-pool:
  kafka-consumer:
    min-idle-client-num: 24       # 最小空闲客户端数
    max-idle-client-num: 24       # 最大空闲客户端数
    max-total-client-num: 24      # 最大客户端数
    borrow-timeout-unit-ms: 3000  # 租借超时时间，单位毫秒

account:
  jump-login:
    gateway-api: false            # 网关接口
    third-part-api: false         # 第三方接口
  ldap:
    enabled: false
    url: ldap://127.0.0.1:389/
    basedn: dc=tsign,dc=cn
    factory: com.sun.jndi.ldap.LdapCtxFactory
    filter: sAMAccountName
    security:
      authentication: simple
      principal: cn=admin,dc=tsign,dc=cn
      credentials: admin
    auth-user-registration: true
    auth-user-registration-role: normal

kcm:                                  # 集群安装部署，仅安装broker
  enabled: false                      # 是否开启
  s3:                                   # s3 存储服务
    endpoint: s3.didiyunapi.com
    access-key: 1234567890
    secret-key: 0987654321
    bucket: logi-kafka
  n9e:                                  # 夜莺
    base-url: http://127.0.0.1:8004     # 夜莺job服务地址
    user-token: 12345678                # 用户的token
    timeout: 300                        # 当台操作的超时时间
    account: root                       # 操作时使用的账号
    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
    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

monitor:
  enabled: false
  n9e:
    nid: 2
    user-token: 1234567890
    mon:
      base-url: http://127.0.0.1:8000 # 夜莺v4版本，默认端口统一调整为了8000
    sink:
      base-url: http://127.0.0.1:8000 # 夜莺v4版本，默认端口统一调整为了8000
    rdb:
      base-url: http://127.0.0.1:8000 # 夜莺v4版本，默认端口统一调整为了8000

notify:
  kafka:
    cluster-id: 95
    topic-name: didi-kafka-notify
  order:
    detail-url: http://127.0.0.1