上周查出的生产环境安全环保请求慢的问题你看怎么配合技术组处理一下吧，
上周是与管云中老师沟通的。他说是可以直接调用内网地址。
嗯嗯，我在生产环境用curl返回是超时
这两个接口有什么区别吗？
http://aqsc.hntzjt.com/prod-api/system/user/getInfo
http://aqsc.t.hnic.com.cn/prod-api/system/user/getInfo
测试系统返回
http://aqsc.t.hnic.com.cn/prod-api/system/config/configKey/sys.index.name
http://aqsc.t.hnic.com.cn/prod-api/auth/loginByOauthCode
http://aqsc.t.hnic.com.cn/prod-api/system/user/getInfo
http://aqsc.t.hnic.com.cn/prod-api/system/user/getInfo
http://aqsc.t.hnic.com.cn/prod-api/system/menu/getRouters
1、测试内网node ip 访问
1、node ip
2、postman白名单测试
ping aqsc.hntzjt.com
3、远程调试
https://www.jianshu.com/p/302dc10217c0
===========================================================
java -Xdebug -Xrunjdwp:transport=dt_socket,suspend=n,server=y,address=127.0.0.1:5555 -jar huajun-modules-system.jar
==============================================================
# spring配置
spring:
redis:
database: 6
host: 192.168.8.248
port: 6379
password:
datasource:
druid:
stat-view-servlet:
enabled: true
loginUsername: admin
loginPassword: 123456
dynamic:
druid:
initial-size: 5
min-idle: 5
maxActive: 20
maxWait: 60000
timeBetweenEvictionRunsMillis: 60000
minEvictableIdleTimeMillis: 300000
validationQuery: SELECT 1 FROM DUAL
testWhileIdle: true
testOnBorrow: false
testOnReturn: false
poolPreparedStatements: true
maxPoolPreparedStatementPerConnectionSize: 20
filters: stat,wall,slf4j
connectionProperties: druid.stat.mergeSql\=true;druid.stat.slowSqlMillis\=5000
datasource:
# 主库数据源
master:
driver-class-name: com.mysql.cj.jdbc.Driver
url: jdbc:mysql://192.168.8.248:3306/huajun-cloud-event?characterEncoding=UTF-8&useUnicode=true&useSSL=false&tinyInt1isBit=false&allowPublicKeyRetrieval=true&serverTimezone=Asia/Shanghai
username: root
password: root
# 从库数据源
# slave:
# username:
# password:
# url:
# driver-class-name:
# seata: true # 开启seata代理，开启后默认每个数据源都代理，如果某个不需要代理可单独关闭
# rabbitmq配置
rabbitmq:
host: 192.168.8.201
username: admin
password: admin
port: 5672
publisher-confirms: true
publisher-returns: true
virtual-host: /
listener:
simple:
acknowledge-mode: manual
#消费者的最小数量
concurrency: 1
#消费者的最大数量
max-concurrency: 1
#是否支持重试
retry:
enabled: true
# seata配置
seata:
# 默认关闭，如需启用spring.datasource.dynami.seata需要同时开启
enabled: false
# Seata 应用编号，默认为 ${spring.application.name}
application-id: ${spring.application.name}
# Seata 事务组编号，用于 TC 集群名
tx-service-group: ${spring.application.name}-group
# 关闭自动代理
enable-auto-data-source-proxy: false
config:
type: nacos
nacos:
serverAddr: 192.168.8.201:8848
group: SEATA_GROUP
namespace: ffbdf183-c35e-41ea-8166-e807b6968b93
registry:
type: nacos
nacos:
application: seata-server
server-addr: 192.168.8.201:8848
group: SEATA_GROUP
namespace: ffbdf183-c35e-41ea-8166-e807b6968b93
# mybatis配置
mybatis-plus:
# 搜索指定包别名
typeAliasesPackage: com.huajun.event
# 配置mapper的扫描，找到所有的mapper.xml映射文件
mapperLocations: classpath:mapper/**/*.xml
configuration:
log-impl: org.apache.ibatis.logging.stdout.StdOutImpl
global-config:
db-config:
id-type: assign_uuid
capital-mode: false
logic-delete-field: delFlag # 全局逻辑删除的实体字段名(since 3.3.0,配置后可以忽略不配置步骤2)
logic-delete-value: 2 # 逻辑已删除值(默认为 1)
logic-not-delete-value: 0 # 逻辑未删除值(默认为 0)
# swagger配置
swagger:
title: 指挥救援系统接口文档
license: Powered By huajun
licenseUrl: http://www.huajuntec.com.cn
# xxl-job分布式任务配置
xxljob:
adminAddresses: http://192.168.8.201:9080/xxl-job-admin
accessToken: ''
appname: ${spring.application.name}
address:
ip:
port: 0
logPath:
logRetentionDays: 30
======================================================================================
数据库
172.21.1.142
hnicsafety
3306
172.21.1.20
31861
127.0.0.1
6379
获取用户失败:Read timed out executing GET http://huajun-system/user/info/cs007
select distinct r.role_id, r.role_name, r.role_key, r.role_sort, r.data_scope,
r.menu_check_strictly, r.dept_check_strictly, r.status, r.del_flag, r.create_time,
r.remark,r.path,r.component from sys_role r left join sys_user_role
ur on ur.role_id = r.role_id left join sys_user u on u.user_id = ur.user_id
left join sys_dept d on u.dept_id = d.dept_id where r.del_flag = '0' order by r.role_sort
select distinct r.role_id, r.role_name, r.role_key, r.role_sort, r.data_scope, r.menu_check_strictly, r.dept_check_strictly,
r.status, r.del_flag, r.create_time, r.remark,r.path,r.component
from sys_role r
left join sys_user_role ur on ur.role_id = r.role_id
left join sys_user u on u.user_id = ur.user_id
left join sys_dept d on u.dept_id = d.dept_id
select distinct m.menu_id, m.parent_id, m.menu_name, m.path, m.component, m.query, m.visible, m.status, ifnull(m.perms,'') as perms, m.is_frame, m.is_cache, m.menu_type, m.icon, m.order_num, m.create_time
from sys_menu m
left join sys_role_menu rm on m.menu_id = rm.menu_id
left join sys_user_role ur on rm.role_id = ur.role_id
left join sys_role ro on ur.role_id = ro.role_id
select distinct m.perms
from sys_menu m
left join sys_role_menu rm on m.menu_id = rm.menu_id
left join sys_user_role ur on rm.role_id = ur.role_id
left join sys_role r on r.role_id = ur.role_id
where m.status = '0' and r.status = '0'
select distinct m.perms
from sys_menu m
left join sys_role_menu rm on m.menu_id = rm.menu_id
left join sys_user_role ur on rm.role_id = ur.role_id
left join sys_role r on r.role_id = ur.role_id
where m.status = '0' and r.status = '0'
select distinct u.user_id, u.dept_id, u.user_name, u.nick_name, u.email, u.phonenumber, u.status, u.create_time
from sys_user u
left join sys_dept d on u.dept_id = d.dept_id
left join sys_user_role ur on u.user_id = ur.user_id
left join sys_role r on r.role_id = ur.role_id
where u.del_flag = '0'
select distinct u.user_id, u.dept_id, u.user_name, u.nick_name, u.email, u.phonenumber, u.status, u.create_time
from sys_user u
left join sys_dept d on u.dept_id = d.dept_id
left join sys_user_role ur on u.user_id = ur.user_id
left join sys_role r on r.role_id = ur.role_id
where u.del_flag = '0' and (r.role_id != '1' or r.role_id IS NULL)
and u.user_id not in (select u.user_id from sys_user u inner join sys_user_role ur on u.user_id = ur.user_id and
ur.role_id = '1'
哨兵模式的
redis-cluster-redis-ha.redis
6379
redis密码：F2gsdssvs352
