ehr.config/svr-pack-analyzer.yml

spring:
  datasource:
    driver-class-name: com.mysql.jdbc.Driver
    max-active: 20
    max-idle: 8
    min-idle: 8
    validation-query: SELECT 1
    test-on-borrow: true
  # REDIS
  redis:
    database: 0 # Database index used by the connection factory.
    timeout: 0 # Connection timeout in milliseconds.
    #sentinel:
    #  master: # Name of Redis server.
    #  nodes: # Comma-separated list of host:port pairs.
    pool:
      max-active: 8 # Max number of connections that can be allocated by the pool at a given time. Use a negative value for no limit.
      max-idle: 8 # Max number of "idle" connections in the pool. Use a negative value to indicate an unlimited number of idle connections.
      max-wait: -1 # Maximum amount of time (in milliseconds) a connection allocation should block before throwing an exception when the pool is exhausted. Use a negative value to block indefinitely.
      min-idle: 1 # Target for the minimum number of idle connections to maintain in the pool. This setting only has an effect if it is positive.

fast-dfs:
  connect-timeout: 10
  network-timeout: 60
  charset: ISO8859-1
  pool:
    init-size: 5
    max-size: 20
    wait-time: 500
  http:
    tracker-http-port: 80
    anti-steal-token: no
    secret-key: FastDFS1234567890

eip:
  tenant: jkzl

analyze:
  job:
    minSize: 10 #解析入库初始任务数
    maxSize: 10 #解析入库最大任务数
    cronExp: 0/1 * * * * ? #解析任务触发间隔表达式

quality:
  orgCode : 1 #默认机构
  version: 59083976eebd #默认版本号
  cloud: medicalCloud #默认云平台code
  cloudName: 上饶医疗云 #默认云平台name

elasticsearch:
  pool:
    init-size: 5
    max-size: 10

---
spring:
  profiles: prod
  datasource:
    url: jdbc:mysql://172.17.0.2:3310/healtharchive?useUnicode=true&characterEncoding=UTF-8&useSSL=false
    username: healthcloud
    password: GP8Qz4qU
  redis:
    host: 172.17.0.3
    port: 6379
    password: q4YaQemf
  data:
    solr:
      zk-host: node1.jkzl.com,node2.jkzl.com,node3.jkzl.com:2181/solr
fast-dfs:
  tracker-server: 172.17.0.3:22122
  public-server: http://172.17.0.3:8888
elasticsearch:
  cluster-name: elasticsearch
  cluster-nodes: 172.17.0.3:9300