fengxiang
2018-01-04 8ca304e2e1b748f7ce16bcd664c12a193fe7fc95
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
server:
  port: 8001
  session-timeout: 30
  tomcat.max-threads: 0
  tomcat.uri-encoding: UTF-8
 
spring:
  datasource:
    url: jdbc:mysql://47.96.19.115:3306/monitor_db?characterEncoding=UTF-8&useSSL=false&serverTimezone=UTC
    username: root
    password: xOlx8z9L7Pt6y9YI
    #driver-class-name: com.mysql.cj.jdbc.Driver
    type: com.alibaba.druid.pool.DruidDataSource
    # 下面为连接池的补充设置,应用到上面所有数据源中
    # 初始化大小,最小,最大
    initialSize: 1
    minIdle: 3
    maxActive: 20
    # 配置获取连接等待超时的时间
    maxWait: 60000
    # 配置间隔多久才进行一次检测,检测需要关闭的空闲连接,单位是毫秒
    timeBetweenEvictionRunsMillis: 60000
    # 配置一个连接在池中最小生存的时间,单位是毫秒
    minEvictableIdleTimeMillis: 30000
    validationQuery: select 'x'
    testWhileIdle: true
    testOnBorrow: false
    testOnReturn: false
    # 打开PSCache,并且指定每个连接上PSCache的大小
    poolPreparedStatements: true
    maxPoolPreparedStatementPerConnectionSize: 20
    # 配置监控统计拦截的filters,去掉后监控界面sql无法统计,'wall'用于防火墙
    filters: stat,wall,slf4j
    # 通过connectProperties属性来打开mergeSql功能;慢SQL记录
    connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
    # 合并多个DruidDataSource的监控数据
    useGlobalDataSourceStat: true
 
  rabbitmq:
    host: 116.62.12.115
    port: 5672
    username: guest
    password: guest
    channelCacheSize: 10
 
 
  redis:
    host: 47.96.19.115
    port: 6379
    password: redis_pass
    database: 0
    timeout: 0
    pool:
      max-active: 8
      max-wait: -1
      max-idle: 8
      min-idle: 0
 
 
  data:
    mongodb:
      uri: mongodb://47.96.171.62:27017/monitor
 
mybatis:
  mapper-locations: classpath*:/mapper/*Mapper.xml
  type-aliases-packageS: com.moral.entity