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Docker-Compose操作笔记

2018-02-23 11:11 246 查看

目标:一个 Haproxy,挂载三个 Web 容器。

创建一个 compose-haproxy-web 目录,作为项目工作目录,并在其中分别创建两个子目录:haproxy 和 web。

web目录:

index.py
import sys
import BaseHTTPServer
from SimpleHTTPServer import SimpleHTTPRequestHandler
import socket
import fcntl
import struct
import pickle
from datetime import datetime
from collections import OrderedDict

class HandlerClass(SimpleHTTPRequestHandler):
def get_ip_address(self,ifname):
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
return socket.inet_ntoa(fcntl.ioctl(
s.fileno(),
0x8915,  # SIOCGIFADDR
struct.pack('256s', ifname[:15])
)[20:24])
def log_message(self, format, *args):
if len(args) < 3 or "200" not in args[1]:
return
try:
request = pickle.load(open("pickle_data.txt","r"))
except:
request=OrderedDict()
time_now = datetime.now()
ts = time_now.strftime('%Y-%m-%d %H:%M:%S')
server = self.get_ip_address('eth0')
host=self.address_string()
addr_pair = (host,server)
if addr_pair not in request:
request[addr_pair]=[1,ts]
else:
num = request[addr_pair][0]+1
del request[addr_pair]
request[addr_pair]=[num,ts]
file=open("index.html", "w")
file.write("<!DOCTYPE html> <html> <body><center><h1><font color=\"blue\" face=\"Georgia, Arial\" size=8><em>HA</em></font> Webpage Visit Results</h1></center>")
for pair in request:
if pair[0] == host:
guest = "LOCAL: "+pair[0]
else:
guest = pair[0]
if (time_now-datetime.strptime(request[pair][1],'%Y-%m-%d %H:%M:%S')).seconds < 3:
file.write("<p style=\"font-size:150%\" >#"+ str(request[pair][1]) +": <font color=\"red\">"+str(request[pair][0])+ "</font> requests " + "from <<font color=\"blue\">"+guest+"</font>> to WebServer <<font color=\"blue\">"+pair[1]+"</font>></p>")
else:
file.write("<p style=\"font-size:150%\" >#"+ str(request[pair][1]) +": <font color=\"maroon\">"+str(request[pair][0])+ "</font> requests " + "from <<font color=\"navy\">"+guest+"</font>> to WebServer <<font color=\"navy\">"+pair[1]+"</font>></p>")
file.write("</body> </html>")
file.close()
pickle.dump(request,open("pickle_data.txt","w"))

if __name__ == '__main__':
try:
ServerClass  = BaseHTTPServer.HTTPServer
Protocol     = "HTTP/1.0"
addr = len(sys.argv) < 2 and "0.0.0.0" or sys.argv[1]
port = len(sys.argv) < 3 and 80 or int(sys.argv[2])
HandlerClass.protocol_version = Protocol
httpd = ServerClass((addr, port), HandlerClass)
sa = httpd.socket.getsockname()
print "Serving HTTP on", sa[0], "port", sa[1], "..."
httpd.serve_forever()
except:
exit()
index.html(生成一个临时的 index.html 文件,其内容会被 index.py 更新。)
$ touch index.html
Dockerfile
FROM python:2.7
WORKDIR /code
ADD . /code
EXPOSE 80
CMD python index.py

haproxy 目录

在其中生成一个 haproxy.cfg 文件,内容为:
global
log 127.0.0.1 local0
log 127.0.0.1 local1 notice

defaults
log global
mode http
option httplog
option dontlognull
timeout connect 5000ms
timeout client 50000ms
timeout server 50000ms

listen stats
bind 0.0.0.0:70
stats enable
stats uri /

frontend balancer
bind 0.0.0.0:80
mode http
default_backend web_backends

backend web_backends
mode http
option forwardfor
balance roundrobin
server weba weba:80 check
server webb webb:80 check
server webc webc:80 check
option httpchk GET /
http-check expect status 200
docker-compose.yml (编写 docker-compose.yml 文件,这个是 Compose 使用的主模板文件。内容十分简单,指定 3 个 web 容器,以及 1 个 haproxy 容器。)
weba:
build: ./web
expose:
- 80

webb:
build: ./web
expose:
- 80

webc:
build: ./web
expose:
- 80

haproxy:
image: haproxy:latest
volumes:
- ./haproxy:/haproxy-override
- ./haproxy/haproxy.cfg:/usr/local/etc/haproxy/haproxy.cfg:ro
links:
- weba
- webb
- webc
ports:
- "80:80"
- "70:70"
expose:
- "80"
- "70"
运行 compose 项目
目录结构
compose-haproxy-web
├── docker-compose.yml
├── haproxy
│   └── haproxy.cfg
└── web
├── Dockerfile
├── index.html
└── index.py
$sudo docker-compose up
WARNING: The Docker Engine you're using is running in swarm mode.

Compose does not use swarm mode to deploy services to multiple nodes in a swarm. All containers will be scheduled on the current node.

To deploy your application across the swarm, use `docker stack deploy`.

Building webb
Step 1/5 : FROM python
latest: Pulling from library/python
此时访问本地的 80 端口,会经过 haproxy 自动转发到后端的某个 web 容器上,刷新页面,可以观察到访问的容器地址的变化。访问本地 70 端口,可以查看到 haproxy 的统计信息。
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