升级Spring Cloud Hoxton & Alibaba,认证授权改用Oauth2。

This commit is contained in:
macro
2020-08-15 10:51:40 +08:00
parent d004888a10
commit dae82f62ed
258 changed files with 4671 additions and 3092 deletions

View File

@@ -5,23 +5,78 @@ services:
container_name: mall-admin
ports:
- 8080:8080
volumes:
- /mydata/app/mall-admin/logs:/var/logs
- /etc/localtime:/etc/localtime
environment:
- 'TZ="Asia/Shanghai"'
external_links:
- mysql:db #可以用db这个域名访问mysql服务
- nacos-registry:nacos-registry #可以用nacos-registry这个域名访问nacos服务
mall-search:
image: mall/mall-search:1.0-SNAPSHOT
container_name: mall-search
ports:
- 8081:8081
volumes:
- /mydata/app/mall-search/logs:/var/logs
- /etc/localtime:/etc/localtime
environment:
- 'TZ="Asia/Shanghai"'
external_links:
- elasticsearch:es #可以用es这个域名访问elasticsearch服务
- mysql:db #可以用db这个域名访问mysql服务
- nacos-registry:nacos-registry #可以用nacos-registry这个域名访问nacos服务
mall-portal:
image: mall/mall-portal:1.0-SNAPSHOT
container_name: mall-portal
ports:
- 8085:8085
volumes:
- /mydata/app/mall-portal/logs:/var/logs
- /etc/localtime:/etc/localtime
environment:
- 'TZ="Asia/Shanghai"'
external_links:
- redis:redis #可以用redis这个域名访问redis服务
- mongo:mongo #可以用mongo这个域名访问mongo服务
- mysql:db #可以用db这个域名访问mysql服务
- rabbitmq:rabbit #可以用rabbit这个域名访问rabbitmq服务
- rabbitmq:rabbit #可以用rabbit这个域名访问rabbitmq服务
- nacos-registry:nacos-registry #可以用nacos-registry这个域名访问nacos服务
mall-auth:
image: mall/mall-auth:1.0-SNAPSHOT
container_name: mall-auth
ports:
- 8401:8401
volumes:
- /mydata/app/mall-auth/logs:/var/logs
- /etc/localtime:/etc/localtime
environment:
- 'TZ="Asia/Shanghai"'
external_links:
- nacos-registry:nacos-registry #可以用nacos-registry这个域名访问nacos服务
mall-gateway:
image: mall/mall-gateway:1.0-SNAPSHOT
container_name: mall-gateway
ports:
- 8201:8201
volumes:
- /mydata/app/mall-gateway/logs:/var/logs
- /etc/localtime:/etc/localtime
environment:
- 'TZ="Asia/Shanghai"'
external_links:
- redis:redis #可以用redis这个域名访问redis服务
- nacos-registry:nacos-registry #可以用nacos-registry这个域名访问nacos服务
mall-monitor:
image: mall/mall-monitor:1.0-SNAPSHOT
container_name: mall-monitor
ports:
- 8101:8101
volumes:
- /mydata/app/mall-monitor/logs:/var/logs
- /etc/localtime:/etc/localtime
environment:
- 'TZ="Asia/Shanghai"'
external_links:
- nacos-registry:nacos-registry #可以用nacos-registry这个域名访问nacos服务

View File

@@ -14,7 +14,7 @@ services:
- /mydata/mysql/data/conf:/etc/mysql/conf.d #配置文件挂载
- /mydata/mysql/log:/var/log/mysql #日志文件挂载
redis:
image: redis:3.2
image: redis:5
container_name: redis
command: redis-server --appendonly yes
volumes:
@@ -40,8 +40,9 @@ services:
- 5672:5672
- 15672:15672
elasticsearch:
image: elasticsearch:6.4.0
image: elasticsearch:7.6.2
container_name: elasticsearch
user: root
environment:
- "cluster.name=elasticsearch" #设置集群名称为elasticsearch
- "discovery.type=single-node" #以单一节点模式启动
@@ -52,8 +53,24 @@ services:
ports:
- 9200:9200
- 9300:9300
logstash:
image: logstash:7.6.2
container_name: logstash
environment:
- TZ=Asia/Shanghai
volumes:
- /mydata/logstash/logstash.conf:/usr/share/logstash/pipeline/logstash.conf #挂载logstash的配置文件
depends_on:
- elasticsearch #kibana在elasticsearch启动之后再启动
links:
- elasticsearch:es #可以用es这个域名访问elasticsearch服务
ports:
- 4560:4560
- 4561:4561
- 4562:4562
- 4563:4563
kibana:
image: kibana:6.4.0
image: kibana:7.6.2
container_name: kibana
links:
- elasticsearch:es #可以用es这个域名访问elasticsearch服务
@@ -64,9 +81,16 @@ services:
ports:
- 5601:5601
mongo:
image: mongo:3.2
image: mongo:4.2.5
container_name: mongo
volumes:
- /mydata/mongo/db:/data/db #数据文件挂载
ports:
- 27017:27017
- 27017:27017
nacos-registry:
image: nacos/nacos-server:1.3.0
container_name: nacos-registry
environment:
- "MODE=standalone"
ports:
- 8848:8848

View File

@@ -1,149 +0,0 @@
# docker环境部署
## docker环境安装
### docker安装
1. 安装yum-utils
yum install -y yum-utils \
device-mapper-persistent-data \
lvm2
2. 为yum源添加docker仓库位置
yum-config-manager \
--add-repo \
https://download.docker.com/linux/centos/docker-ce.repo
3. 安装docker:
yum install docker-ce
4. 启动docker:
systemctl start docker
常见命令见document/reference文件夹中的docker.md
5. 安装上传下载插件:
yum -y install lrzsz
### docker compose安装
1. 下载地址https://github.com/docker/compose/releases
2. 安装地址:/usr/local/bin/docker-compose
3. 设置为可执行sudo chmod +x /usr/local/bin/docker-compose
4. 测试是否安装成功docker-compose --version
## mysql安装
### 下载镜像文件
docker pull mysql:5.7
### 创建实例并启动
docker run -p 3306:3306 --name mysql \
-v /mydata/mysql/log:/var/log/mysql \
-v /mydata/mysql/data:/var/lib/mysql \
-v /mydata/mysql/conf:/etc/mysql \
-e MYSQL_ROOT_PASSWORD=root \
-d mysql:5.7
> 参数说明
- -p 3306:3306将容器的3306端口映射到主机的3306端口
- -v /mydata/mysql/conf:/etc/mysql将配置文件夹挂在到主机
- -v /mydata/mysql/log:/var/log/mysql将日志文件夹挂载到主机
- -v /mydata/mysql/data:/var/lib/mysql/:将配置文件夹挂载到主机
- -e MYSQL_ROOT_PASSWORD=root初始化root用户的密码
### 通过容器的mysql命令行工具连接
docker exec -it mysql mysql -uroot -proot
### 设置远程访问
grant all privileges on *.* to 'root' @'%' identified by 'root';
flush privileges;
### 进入容器文件系统
docker exec -it mysql /bin/bash
## redis安装
### 下载镜像文件
docker pull redis:3.2
### 创建实例并启动
docker run -p 6379:6379 --name redis -v /mydata/redis/data:/data -d redis:3.2 redis-server --appendonly yes
### 使用redis镜像执行redis-cli命令连接
docker exec -it redis redis-cli
## nginx安装
### 下载镜像文件
docker pull nginx:1.10
### 创建实例并启动
docker run -p 80:80 --name nginx \
-v /mydata/nginx/html:/usr/share/nginx/html \
-v /mydata/nginx/logs:/var/log/nginx \
-d nginx:1.10
### 修改nginx配置
1. 将容器内的配置文件拷贝到当前目录docker container cp nginx:/etc/nginx .
2. 修改文件名称mv nginx conf
3. 终止容器docker stop nginx
4. 执行命令删除原容器docker rm $ContainerId
5. 执行以下命令:
docker run -p 80:80 --name nginx \
-v /mydata/nginx/html:/usr/share/nginx/html \
-v /mydata/nginx/logs:/var/log/nginx \
-v /mydata/nginx/conf:/etc/nginx \
-d nginx:1.10
## rabbitmq安装
### 下载镜像文件
docker pull rabbitmq:management
### 创建实例并启动
docker run -d --name rabbitmq --publish 5671:5671 \
--publish 5672:5672 --publish 4369:4369 --publish 25672:25672 --publish 15671:15671 --publish 15672:15672 \
rabbitmq:management
## elasticsearch安装
### 下载镜像文件
docker pull elasticsearch:6.4.0
### 创建实例并运行
docker run -p 9200:9200 -p 9300:9300 --name elasticsearch \
-v /mydata/elasticsearch/plugins:/usr/share/elasticsearch/plugins \
-v /mydata/elasticsearch/data:/usr/share/elasticsearch/data \
-d elasticsearch:6.4.0
### 测试
访问会返回版本信息http://192.168.1.66:9200/
### 安装目录位置
/usr/share/elasticsearch
### 安装head插件(可以不安装,仅用于测试)
1. 进入docker内部bash:docker exec -it elasticsearch /bin/bash
2. 安装插件具体参考https://github.com/mobz/elasticsearch-head
3. 测试http://192.168.1.66:9200/_plugin/head/
### 安装中文分词器IKAnalyzer
1. 进入docker内部bash:docker exec -it elasticsearch /bin/bash
2. 安装中文分词插件执行以下命令elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v6.2.2/elasticsearch-analysis-ik-6.2.2.zip
3. 测试:
- 访问header插件打开地址http://192.168.1.66:9200/_plugin/head/
- 选择复合查询输入地址POST:http://192.168.1.66:9200/_analyze
- 输入参数JSON:{"analyzer":"ik","text":"我们是大数据开发人员"}
## mongodb安装
### 下载镜像文件
docker pull mongo:3.2
### 创建实例并运行
docker run -p 27017:27017 --name mongo -v /mydata/mongo/db:/data/db -d mongo:3.2
### 使用mongo命令进入容器
docker exec -it mongo mongo
## SpringBoot应用命令部署
**docker容器间进行连接才能互相访问**
### 部署mall-admin
docker run -p 8080:8080 --name mall-admin \
--link mysql:db \
-v /etc/timezone:/etc/timezone \
-v /etc/localtime:/etc/localtime \
-v /mydata/app/admin/logs:/var/logs \
-d mall/mall-admin:1.0-SNAPSHOT
### 部署mall-search
docker run -p 8081:8081 --name mall-search \
--link elasticsearch:es \
--link mysql:db \
-v /etc/timezone:/etc/timezone \
-v /etc/localtime:/etc/localtime \
-v /mydata/app/search/logs:/var/logs \
-d mall/mall-search:1.0-SNAPSHOT
### 部署mall-port
docker run -p 8085:8085 --name mall-portal \
--link mysql:db \
--link redis:redis \
--link mongo:mongo \
-v /etc/timezone:/etc/timezone \
-v /etc/localtime:/etc/localtime \
-v /mydata/app/portal/logs:/var/logs \
-d mall/mall-portal:1.0-SNAPSHOT
## SpringBoot应用自动化部署
### 部署文件
document/docker/docker-compose.yml
### 部署命令
docker-compose up -d

View File

@@ -1,14 +0,0 @@
input {
tcp {
mode => "server"
host => "0.0.0.0"
port => 4560
codec => json_lines
}
}
output {
elasticsearch {
hosts => "es:9200"
index => "springboot-logstash-%{+YYYY.MM.dd}"
}
}

View File

@@ -0,0 +1,49 @@
input {
tcp {
mode => "server"
host => "0.0.0.0"
port => 4560
codec => json_lines
type => "debug"
}
tcp {
mode => "server"
host => "0.0.0.0"
port => 4561
codec => json_lines
type => "error"
}
tcp {
mode => "server"
host => "0.0.0.0"
port => 4562
codec => json_lines
type => "business"
}
tcp {
mode => "server"
host => "0.0.0.0"
port => 4563
codec => json_lines
type => "record"
}
}
filter{
if [type] == "record" {
mutate {
remove_field => "port"
remove_field => "host"
remove_field => "@version"
}
json {
source => "message"
remove_field => ["message"]
}
}
}
output {
elasticsearch {
hosts => "es:9200"
index => "mall-%{type}-%{+YYYY.MM.dd}"
}
}

Binary file not shown.

Before

Width:  |  Height:  |  Size: 63 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 32 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 36 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 28 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 17 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 22 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 25 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 17 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 30 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 25 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 71 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 86 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 37 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 6.9 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 20 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 21 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 13 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 39 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 34 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 35 KiB