server:
  port: 8080 # 服务端口
  tomcat:
    accept-count: 1000
    max-connections: 10000

spring:
  application:
    name: know-streaming
  profiles:
    active: dev
  main:
    allow-bean-definition-overriding: true
  jackson:
    time-zone: GMT+8
  datasource:
    know-streaming: # know-streaming 自身数据库的配置
      jdbc-url: jdbc:mariadb://127.0.0.1:3306/know_streaming?useUnicode=true&characterEncoding=utf8&jdbcCompliantTruncation=true&allowMultiQueries=true&useSSL=false&alwaysAutoGeneratedKeys=true&serverTimezone=GMT%2B8&allowPublicKeyRetrieval=true
      username: root
      password: mysql_pass
      driver-class-name: org.mariadb.jdbc.Driver
      maximum-pool-size: 20
      idle-timeout: 30000
      connection-test-query: SELECT 1
  logi-job:  # know-streaming 依赖的 logi-job 模块的数据库的配置，默认与 know-streaming 的数据库配置保持一致即可
    jdbc-url: jdbc:mariadb://127.0.0.1:3306/know_streaming?useUnicode=true&characterEncoding=utf8&jdbcCompliantTruncation=true&allowMultiQueries=true&useSSL=false&alwaysAutoGeneratedKeys=true&serverTimezone=GMT%2B8&allowPublicKeyRetrieval=true
    username: root
    password: mysql_pass
    driver-class-name: org.mariadb.jdbc.Driver
    max-lifetime: 60000
    init-sql: true
    init-thread-num: 20
    max-thread-num: 50
    log-expire: 3 # 日志保存天数，以天为单位
    app-name: know-streaming
    claim-strategy: com.didiglobal.logi.job.core.consensual.RandomConsensual
  logi-security: # know-streaming 依赖的 logi-security 模块的数据库的配置，默认与 know-streaming 的数据库配置保持一致即可
    jdbc-url: jdbc:mariadb://127.0.0.1:3306/know_streaming?useUnicode=true&characterEncoding=utf8&jdbcCompliantTruncation=true&allowMultiQueries=true&useSSL=false&alwaysAutoGeneratedKeys=true&serverTimezone=GMT%2B8&allowPublicKeyRetrieval=true
    username: root
    password: mysql_pass
    driver-class-name: org.mariadb.jdbc.Driver
    app-name: know-streaming
    resource-extend-bean-name: myResourceExtendImpl
    login-extend-bean-name: logiSecurityDefaultLoginExtendImpl

logging:
  config: classpath:logback-spring.xml

# 线程池大小相关配置
thread-pool:
  scheduled:
    thread-num: 2 # @Scheduled任务的线程池大小，默认是一个

  collector:                        # 采集模块的配置
    future-util:                    # 采集模块线程池配置
      num: 3                        # 线程池个数
      thread-num: 64                # 每个线程池核心线程数
      queue-size: 10000             # 每个线程池队列大小
      select-suitable-enable: true  # 任务是否自动选择合适的线程池，非主要，可不修改
      suitable-queue-size: 1000     # 线程池理想的队列大小，非主要，可不修改

  task:                             # 任务模块的配置
    metrics:                        # metrics采集任务配置
      thread-num: 18                # metrics采集任务线程池核心线程数
      queue-size: 180               # metrics采集任务线程池队列大小
    metadata:                       # metadata同步任务配置
      thread-num: 27                # metadata同步任务线程池核心线程数
      queue-size: 270               # metadata同步任务线程池队列大小
    common:                         # 剩余其他任务配置
      thread-num: 15                # 剩余其他任务线程池核心线程数
      queue-size: 150               # 剩余其他任务线程池队列大小


# 客户端池大小相关配置
client-pool:
  kafka-consumer:
    min-idle-client-num: 2        # 最小空闲客户端数
    max-idle-client-num: 20       # 最大空闲客户端数
    max-total-client-num: 20      # 最大客户端数
    borrow-timeout-unit-ms: 5000  # 租借超时时间，单位秒


# ES客户端配置
es:
  client:
    address: 127.0.0.1:8091,127.0.0.1:8061,127.0.0.1:8061
    pass:                         # ES账号密码，如果有账号密码，按照 username:password 的格式填写，没有则不需要填写
    client-cnt: 10                # 创建的ES客户端数
    io-thread-cnt: 2
    max-retry-cnt: 5

# 普罗米修斯指标导出相关配置
management:
  endpoints:
    web:
      base-path: /metrics
      exposure:
        include: '*'
  health:
    elasticsearch:
      enabled: false
  metrics:
    export:
      prometheus:
        descriptions: true
        enabled: true
    tags:
      application: know-streaming