149 lines
5.1 KiB
Markdown
149 lines
5.1 KiB
Markdown
# docker环境部署
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## docker环境安装
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### docker安装
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1. 安装yum-utils：
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yum install -y yum-utils \
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device-mapper-persistent-data \
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lvm2
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2. 为yum源添加docker仓库位置：
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yum-config-manager \
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--add-repo \
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https://download.docker.com/linux/centos/docker-ce.repo
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3. 安装docker:
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yum install docker-ce
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4. 启动docker:
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systemctl start docker
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注：常见命令见macro/spring-cloud-demo中的docker.md
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5. 安装上传下载插件：
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yum -y install lrzsz
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### docker compose安装
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1. 下载地址：https://github.com/docker/compose/releases
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2. 安装地址：/usr/local/bin/docker-compose
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3. 设置为可执行：sudo chmod +x /usr/local/bin/docker-compose
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4. 测试是否安装成功：docker-compose --version
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## mysql安装
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### 下载镜像文件
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docker pull mysql:5.7
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### 创建实例并启动
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docker run -p 3306:3306 --name mysql \
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-v /mydata/mysql/log:/var/log/mysql \
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-v /mydata/mysql/data:/var/lib/mysql \
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-v /mydata/mysql/conf:/etc/mysql \
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-e MYSQL_ROOT_PASSWORD=root \
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-d mysql:5.7
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> 参数说明
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- -p 3306:3306：将容器的3306端口映射到主机的3306端口
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- -v /mydata/mysql/conf:/etc/mysql：将配置文件夹挂在到主机
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- -v /mydata/mysql/log:/var/log/mysql：将日志文件夹挂载到主机
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- -v /mydata/mysql/data:/var/lib/mysql/：将配置文件夹挂载到主机
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- -e MYSQL_ROOT_PASSWORD=root：初始化root用户的密码
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### 通过容器的mysql命令行工具连接
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docker exec -it mysql mysql -uroot -proot
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### 设置远程访问
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grant all privileges on *.* to 'root' @'%' identified by 'root';
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flush privileges;
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### 进入容器文件系统
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docker exec -it mysql /bin/bash
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## redis安装
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### 下载镜像文件
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docker pull redis:3.2
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### 创建实例并启动
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docker run -p 6379:6379 --name redis -v /mydata/redis/data:/data -d redis:3.2 redis-server --appendonly yes
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### 使用redis镜像执行redis-cli命令连接
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docker exec -it redis redis-cli
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## nginx安装
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### 下载镜像文件
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docker pull nginx:1.10
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### 创建实例并启动
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docker run -p 80:80 --name nginx \
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-v /mydata/nginx/html:/usr/share/nginx/html \
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-v /mydata/nginx/logs:/var/log/nginx \
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-d nginx:1.10
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### 修改nginx配置
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1. 将容器内的配置文件拷贝到当前目录：docker container cp nginx:/etc/nginx .
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2. 修改文件名称：mv nginx conf
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3. 终止容器：docker stop nginx
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4. 执行命令删除原容器：docker rm $ContainerId
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5. 执行以下命令：
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docker run -p 80:80 --name nginx \
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-v /mydata/nginx/html:/usr/share/nginx/html \
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-v /mydata/nginx/logs:/var/log/nginx \
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-v /mydata/nginx/conf:/etc/nginx \
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-d nginx:1.10
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## rabbitmq安装
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### 下载镜像文件
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docker pull rabbitmq:management
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### 创建实例并启动
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docker run -d --name rabbitmq --publish 5671:5671 \
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--publish 5672:5672 --publish 4369:4369 --publish 25672:25672 --publish 15671:15671 --publish 15672:15672 \
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rabbitmq:management
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## elasticsearch安装
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### 下载镜像文件
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docker pull elasticsearch:6.4.0
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### 创建实例并运行
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docker run -p 9200:9200 -p 9300:9300 --name elasticsearch \
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-v /mydata/elasticsearch/plugins:/usr/share/elasticsearch/plugins \
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-v /mydata/elasticsearch/data:/usr/share/elasticsearch/data \
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-d elasticsearch:6.4.0
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### 测试
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访问会返回版本信息：http://192.168.1.66:9200/
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### 安装目录位置
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/usr/share/elasticsearch
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### 安装head插件(可以不安装，仅用于测试)
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1. 进入docker内部bash:docker exec -it elasticsearch /bin/bash
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2. 安装插件，具体参考：https://github.com/mobz/elasticsearch-head
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3. 测试：http://192.168.1.66:9200/_plugin/head/
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### 安装中文分词器IKAnalyzer
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1. 进入docker内部bash:docker exec -it elasticsearch /bin/bash
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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
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3. 测试：
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- 访问header插件：打开地址http://192.168.1.66:9200/_plugin/head/
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- 选择复合查询，输入地址：POST:http://192.168.1.66:9200/_analyze
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- 输入参数：JSON:{"analyzer":"ik","text":"我们是大数据开发人员"}
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## mongodb安装
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### 下载镜像文件
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docker pull mongo:3.2
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### 创建实例并运行
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docker run -p 27017:27017 --name mongo -v /mydata/mongo/db:/data/db -d mongo:3.2
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### 使用mongo命令进入容器
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docker exec -it mongo mongo
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## SpringBoot应用命令部署
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**docker容器间进行连接才能互相访问**
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### 部署mall-admin
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docker run -p 8080:8080 --name mall-admin \
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--link mysql:db \
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-v /etc/timezone:/etc/timezone \
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-v /etc/localtime:/etc/localtime \
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-v /mydata/app/admin/logs:/var/logs \
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-d mall/mall-admin:0.0.1-SNAPSHOT
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### 部署mall-search
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docker run -p 8081:8081 --name mall-search \
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--link elasticsearch:es \
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--link mysql:db \
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-v /etc/timezone:/etc/timezone \
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-v /etc/localtime:/etc/localtime \
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-v /mydata/app/search/logs:/var/logs \
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-d mall/mall-search:0.0.1-SNAPSHOT
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### 部署mall-port
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docker run -p 8085:8085 --name mall-portal \
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--link mysql:db \
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--link redis:redis \
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--link mongo:mongo \
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-v /etc/timezone:/etc/timezone \
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-v /etc/localtime:/etc/localtime \
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-v /mydata/app/portal/logs:/var/logs \
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-d mall/mall-portal:0.0.1-SNAPSHOT
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## SpringBoot应用自动化部署
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### 部署文件
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document/docker/docker-compose.yml
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### 部署命令
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docker-compose up -d |