一、安装mysql

1.Docker命令安装

  • 下载MySQL5.7的docker镜像:
docker pull mysql:5.7
  • 使用如下命令启动MySQL服务:
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/:将数据文件夹挂载到主机
    • -e MYSQL_ROOT_PASSWORD=root:初始化root用户的密码

2.Docker Compose安装

编写mysql-compose.yml配置文件,如下

version: '3'
services:
  mysql:
    image: mysql:5.7
    container_name: mysql
    command: mysqld --character-set-server=utf8mb4 --collation-server=utf8mb4_unicode_ci
    restart: always
    environment:
      - MYSQL_ROOT_PASSWORD=root
    ports:
      - 3306:3306
    volumes:
      - /mydata/mysql/log:/var/log/mysql
      - /mydata/mysql/data:/var/lib/mysql
      - /mydata/mysql/conf:/etc/mysql

然后在当前目录执行命令:

docker-compose -f mysql-compose.yml up -d

3.其他

  • 进入运行MySQL的docker容器:
docker exec -it mysql /bin/bash
  • 使用MySQL命令打开客户端:
mysql -uroot -proot --default-character-set=utf8
  • 创建mall数据库:
create database mall character set utf8
  • 安装上传下载插件,并将xxx.sql上传到Linux服务器上:
yum -y install lrzsz
  • xxx.sql文件拷贝到mysql容器的/目录下:
docker cp /mydata/xxxx.sql mysql:/
  • 将sql文件导入到数据库:
use mall;
source /xxx.sql;
  • 创建一个reader:123456帐号并修改权限,使得任何ip都能访问:
grant all privileges on *.* to 'reader' @'%' identified by '123456';

二、安装redis

1.Docker命令安装

  • 下载Redis5.0的docker镜像:
docker pull redis:5
  • 使用如下命令启动Redis服务:
docker run -p 6379:6379 --name redis \
-v /mydata/redis/data:/data \
-d redis:5 redis-server --appendonly yes
  • 进入Redis容器使用redis-cli命令进行连接:
docker exec -it redis redis-cli

2.Docker Compose安装

编写redis-compose.yml配置文件,如下

version: '3'
services:
  redis:
    image: redis:5
    container_name: redis
    command: redis-server --appendonly yes
    restart: always
    ports:
      - 6739:6739
    volumes:
      - /mydata/redis/data:/data #数据文件挂载

然后在当前目录执行命令:

docker-compose -f redis-compose.yml up -d

三、安装rabbitMQ

1.Docker命令安装

  • 下载rabbitmq3.7.15的docker镜像:
docker pull rabbitmq:3.7.15
  • 使用如下命令启动RabbitMQ服务:
docker run -p 5672:5672 -p 15672:15672 --name rabbitmq \
-d rabbitmq:3.7.15

2.Docker Compose安装

编写rabbitmq-compose.yml配置文件,如下

version: '3'
services:
  rabbitmq:
    image: rabbitmq:3.7.15-management
    container_name: rabbitmq
    restart: always
    ports:
      - 5672:5672
      - 15672:15672
    volumes:
      - /mydata/rabbitmq/log:/var/log/rabbitmq #数据文件挂载
      - /mydata/rabbitmq/data:/var/lib/rabbitmq #日志文件挂载

然后在当前目录执行命令:

docker-compose -f rabbitmq-compose.yml up -d

3.其他

  • 进入容器并开启管理功能:
docker exec -it rabbitmq /bin/bash
rabbitmq-plugins enable rabbitmq_management

img

  • 开启防火墙:
firewall-cmd --zone=public --add-port=15672/tcp --permanent
firewall-cmd --reload

img

  • 输入账号密码并登录:guest guest
  • 创建帐号并设置其角色为管理员:mall mall

img

  • 创建一个新的虚拟host为:/mall

img

  • 点击mall用户进入用户配置页面

img

  • 给mall用户配置该虚拟host的权限

img

四、安装ELK

1.Docker命令安装

Elasticsearch安装

  • 下载Elasticsearch7.6.2的docker镜像:
docker pull elasticsearch:7.6.2
  • 修改虚拟内存区域大小,否则会因为过小而无法启动:
# 改变设置
sysctl -w vm.max_map_count=262144
# 使之立即生效
sysctl -p
  • 使用如下命令启动Elasticsearch服务:
docker run -p 9200:9200 -p 9300:9300 --name elasticsearch \
-e "discovery.type=single-node" \
-e "cluster.name=elasticsearch" \
-v /mydata/elasticsearch/plugins:/usr/share/elasticsearch/plugins \
-v /mydata/elasticsearch/data:/usr/share/elasticsearch/data \
-d elasticsearch:7.6.2
  • 启动时会发现/usr/share/elasticsearch/data目录没有访问权限,只需要修改/mydata/elasticsearch/data目录的权限,再重新启动即可;
chmod 777 /mydata/elasticsearch/data/
  • 安装中文分词器IKAnalyzer,并重新启动:
docker exec -it elasticsearch /bin/bash
#此命令需要在容器中运行
elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v7.6.2/elasticsearch-analysis-ik-7.6.2.zip
docker restart elasticsearch
  • 开启防火墙:
firewall-cmd --zone=public --add-port=9200/tcp --permanent
firewall-cmd --reload

img

Logstash安装

  • 下载Logstash7.6.2的docker镜像:
docker pull logstash:7.6.2
  • 修改Logstash的配置文件logstash.confoutput节点下的Elasticsearch连接地址为es:9200
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}"
  }
}
  • 创建/mydata/logstash目录,并将Logstash的配置文件logstash.conf拷贝到该目录;
mkdir /mydata/logstash
  • 使用如下命令启动Logstash服务;
docker run --name logstash -p 4560:4560 -p 4561:4561 -p 4562:4562 -p 4563:4563 \
--link elasticsearch:es \
-v /mydata/logstash/logstash.conf:/usr/share/logstash/pipeline/logstash.conf \
-d logstash:7.6.2
  • 进入容器内部,安装json_lines插件。
logstash-plugin install logstash-codec-json_lines

Kibana安装

  • 下载Kibana7.6.2的docker镜像:
docker pull kibana:7.6.2
  • 使用如下命令启动Kibana服务:
docker run --name kibana -p 5601:5601 \
--link elasticsearch:es \
-e "elasticsearch.hosts=http://es:9200" \
-d kibana:7.6.2
  • 开启防火墙:
firewall-cmd --zone=public --add-port=5601/tcp --permanent
firewall-cmd --reload

img

2.Docker Compose安装

  • Es需要设置系统内核参数,否则会因为内存不足无法启动;
# 改变设置
sysctl -w vm.max_map_count=262144
# 使之立即生效
sysctl -p
  • 需要创建/mydata/elasticsearch/data目录并设置权限,否则会因为无权限访问而启动失败。
# 创建目录
mkdir /mydata/elasticsearch/data/
mkdir /mydata/elasticsearch/plugins
# 创建并改变该目录权限
chmod 777 /mydata/elasticsearch/data
chmod 777 /mydata/elasticsearch/plugins
  • 修改Logstash的配置文件logstash.confoutput节点下的Elasticsearch连接地址为es:9200
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}"
  }
}
  • 创建/mydata/logstash目录,并将Logstash的配置文件logstash.conf拷贝到该目录。
mkdir /mydata/logstash
  • 创建elk-compose.yml文件
version: '3'
services:
  elasticsearch:
    image: elasticsearch:7.6.2
    container_name: elasticsearch
    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
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m" #设置使用jvm内存大小
    volumes:
      - /mydata/elasticsearch/plugins:/usr/share/elasticsearch/plugins #插件文件挂载
      - /mydata/elasticsearch/data:/usr/share/elasticsearch/data #数据文件挂载
    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: #一键部署时,添加该配置
      - elasticsearch #logstash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:7.6.2
    container_name: kibana
    ports:
      - 5601:5601
    links:
      - elasticsearch:es #可以用es这个域名访问elasticsearch服务
    depends_on:
      - elasticsearch #kibana在elasticsearch启动之后再启动
    environment:
      - "elasticsearch.hosts=http://es:9200" #设置访问elasticsearch的地址
  • 执行命令
docker-compose -f elk-compose.yml up -d

Elasticsearch

需要安装中文分词器IKAnalyzer,并重新启动。

docker exec -it elasticsearch /bin/bash
#此命令需要在容器中运行
elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v6.4.0/elasticsearch-analysis-ik-6.4.0.zip
docker restart elasticsearch

logstash安装

需要安装json_lines插件,并重新启动。

docker exec -it logstash /bin/bash
logstash-plugin install logstash-codec-json_lines
docker restart logstash

# 五、docker(docker-compose)安装mongodb
## 1.Docker命令安装

- 下载mongo:4.2.5的docker镜像:

```bash
docker pull mongo:4.2.5
  • 使用如下命令启动MySQL服务:
docker run -p 27017:27017 --name mongo \
-v /mydata/mongo/db:/data/db \
-d mongo:4.2.5

五、安装mongodb

1.Docker命令安装

  • 下载mongo:4.2.5的docker镜像:
docker pull mongo:4.2.5
  • 使用如下命令启动MySQL服务:
docker run -p 27017:27017 --name mongo \
-v /mydata/mongo/db:/data/db \
-d mongo:4.2.5

2.Docker Compose安装

编写mongo-compose.yml配置文件,如下

version: '3'
services:
  mongo:
    image: mongo:4.2.5
    container_name: mongo
    volumes:
      - /mydata/mongo/db:/data/db #数据文件挂载
    ports:
      - 27017:27017

然后在当前目录执行命令:

docker-compose -f mongo-compose.yml up -d

六、构建应用

version: '3'
services:
  mall-admin:
    image: mall/mall-admin:1.0-SNAPSHOT
    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
  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
  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: #链接外部服务
      - 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

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