一、安装mysql
1.Docker命令安装
- 下载MySQL
5.7
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
- 将
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Redis
5.0
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rabbitmq
3.7.15
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
- 开启防火墙:
firewall-cmd --zone=public --add-port=15672/tcp --permanent
firewall-cmd --reload
- 访问地址查看是否安装成功:http://192.168.3.101:15672
- 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
- 创建一个新的虚拟host为:/mall
- 点击mall用户进入用户配置页面
- 给mall用户配置该虚拟host的权限
四、安装ELK
1.Docker命令安装
Elasticsearch安装
- 下载Elasticsearch
7.6.2
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
- 访问会返回版本信息:http://192.168.3.101:9200
Logstash安装
- 下载Logstash
7.6.2
的docker镜像:
docker pull logstash:7.6.2
- 修改Logstash的配置文件
logstash.conf
中output
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Kibana
7.6.2
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
- 访问地址进行测试:http://192.168.3.101:5601
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.conf
中output
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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