hostnamectl set-hostname 主机名
1.编辑
vi /etc/docker/daemon.json
2.设置
{
"registry-mirrors": ["http://hub-mirror.c.163.com"]
}
3.重启
systemctl restart docker.service
docker run -p 3306:3306 --name mysql -v /usr/mydata/mysql/log:/var/log/mysql -v /usr/mydata/mysql/data:/var/lib/mysql -v /usr/mydata/mysql/conf:/etc/mysql/conf.d -e MYSQL_ROOT_PASSWORD=123456 --restart=always -d mysql:latest
分析:
docker run -d mysql:latest 以后台的方式运行 mysql 版本的镜像,生成一个容器。
–name mysql 容器名为 mysql
-e MYSQL_ROOT_PASSWORD=123456 设置登陆密码为 123456,登陆用户为 root
-p 3306:3306 将容器内部 3306 端口映射到 主机的 3306 端口,即通过 主机的 3306 可以访问容器的 3306 端口
-v /usr/mydata/mysql/log:/var/log/mysql 将容器的 日志文件夹 挂载到 主机的相应位置
-v /usr/mydata/mysql/data:/var/lib/mysql 将容器的 数据文件夹 挂载到 主机的相应位置
-v /usr/mydata/mysql/conf:/etc/mysql/conf.d 将容器的 自定义配置文件夹 挂载到主机的相应位置
–restart=always docker重启自启
docker run -itd --name redis-one-001 -p 6379:6379 --restart=always -v /usr/mydata/redis/conf/redis.conf:/etc/redis/redis.conf -v /usr/mydata/redis/data:/data redis redis-server /etc/redis/redis.conf --appendonly yes
redis-server /etc/redis/redis.conf:指定配置文件启动redis-server进程
–appendonly yes:开启数据持久化
docker run -d -p 5672:5672 -p 15672:15672 --name rabbitmq --restart=always rabbitmq:management
1.1创建文件 /usr/mydata/nginx/html
user nginx;
worker_processes 1;
error_log /var/log/nginx/error.log warn;
pid /var/run/nginx.pid;
events {
worker_connections 1024;
}
http {
include /etc/nginx/mime.types;
default_type application/octet-stream;
log_format main '$remote_addr - $remote_user [$time_local] "$request" '
'$status $body_bytes_sent "$http_referer" '
'"$http_user_agent" "$http_x_forwarded_for"';
access_log /var/log/nginx/access.log main;
sendfile on;
#tcp_nopush on;
keepalive_timeout 65;
#gzip on;
include /etc/nginx/conf.d/*.conf;
}
1.2创建文件 /usr/mydata/nginx/conf.d/default.conf
server {
listen 80;
server_name localhost;
#charset koi8-r;
#access_log /var/log/nginx/log/host.access.log main;
location / {
#root /data/nginx/html;
root /usr/share/nginx/html;
index index.html index.htm;
#autoindex on;
#try_files $uri /index/index/page.html;
#try_files $uri /index/map/page.html;
}
#error_page 404 /404.html;
# redirect server error pages to the static page /50x.html
#
error_page 500 502 503 504 /50x.html;
location = /50x.html {
root /usr/share/nginx/html;
}
# proxy the PHP scripts to Apache listening on 127.0.0.1:80
#
#location ~ \.php$ {
# proxy_pass http://127.0.0.1;
#}
# pass the PHP scripts to FastCGI server listening on 127.0.0.1:9000
#
#location ~ \.php$ {
# root html;
# fastcgi_pass 127.0.0.1:9000;
# fastcgi_index index.php;
# fastcgi_param SCRIPT_FILENAME /scripts$fastcgi_script_name;
# include fastcgi_params;
#}
# deny access to .htaccess files, if Apache's document root
# concurs with nginx's one
#
#location ~ /\.ht {
# deny all;
#}
}
1.3创建文件 /usr/mydata/nginx/html/index.html
<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8"/>
<title>系统时间title>
head>
<body>
<div id="datetime">
<script>
setInterval("document.getElementById('datetime').innerHTML=new Date().toLocaleString();", 1000);
script>
div>
body>
2.启动
docker run --name nginx81 -d -p 81:80 --restart=always -v /usr/mydata/nginx/html:/usr/share/nginx/html -v /usr/mydata/nginx/conf/nginx.conf:/etc/nginx/nginx.conf -v /usr/mydata/nginx/logs:/var/log/nginx -v /usr/mydata/nginx/conf.d:/etc/nginx/conf.d -d nginx:latest
建立docker网络:docker network create es-net
elasticsearch
挂在data待测试bug
-v /usr/mydata/es/data:/usr/share/elasticsearch/data
docker run -d --name es -p 9200:9200 -p 9300:9300 -e ES_JAVA_OPTS="-Xms512m -Xmx512m" -e "discovery.type=single-node" -v /usr/mydata/es/plugins:/usr/share/elasticsearch/plugins --privileged --network es-net --restart=always elasticsearch:7.12.1
kibana
docker run -d \
--name kibana \
-e ELASTICSEARCH_HOSTS=http://es:9200 \
--network=es-net \
-p 5601:5601 \
--restart=always \
kibana:7.12.1
测试分词器(ik_smart/只组一遍词,ik_max_word/细粒度分词可重复利用字)
POST /_analyze
{
"text":"程序员",
"analyzer":"ik_smart"
}
#结果
{
"tokens" : [
{
"token" : "程序员",
"start_offset" : 0,
"end_offset" : 3,
"type" : "CN_WORD",
"position" : 0
}
]
}
# ik_max_word
{
"tokens" : [
{
"token" : "程序员",
"start_offset" : 0,
"end_offset" : 3,
"type" : "CN_WORD",
"position" : 0
},
{
"token" : "程序",
"start_offset" : 0,
"end_offset" : 2,
"type" : "CN_WORD",
"position" : 1
},
{
"token" : "员",
"start_offset" : 2,
"end_offset" : 3,
"type" : "CN_CHAR",
"position" : 2
}
]
}