一、FastDFS概述

1. 概述
   

2. 上传交互过程
   
   两个服务：Tracker Server 和Storage Server

• Tracker Server
  跟踪服务，负责调度和负载均衡

• Storage Server
  存储服务，负责文件存储

3. 下载交互过程
   
   

二、安装FastDFS

注：fastDFS可以查看github上的官方文档

1. 拉取镜像

1. 查看fastdfs镜像
   

2. 拉取镜像命令

sudo docker pull delron/fastdfs

3. 查看镜像
   

2. 安装tracker

安装tracker

sudo docker run -dti --network=host --name tracker01 -v /var/fdfs/tracker:/var/fdfs delron/fastdfs tracker #--network设置网络，=host表示和本机处于一个局域网中 -dti使用交互式终端  /var/fdfs/tracker 容器的tracker目录 挂载到 本机的/var/fdfs目录中 delron/fastdfs镜像文件名  tracker：终端

操作如下：

3. 安装storage

1. 查看tracker服务器的ip地址，tracker server的端口默认为22122

ifconfig #查看IP地址

安装storage，必须和tracker server 在同一个网络中

sudo docker run -dti --network=host --name storage01 -e TRACKER_SERVER=xxx.xxx.xxx.xxx:22122 -v /var/fdfs/storage:/var/fdfs delron/fastdfs storage

storage无法启动解决办法：

4. NGINX服务启动

在nginx官网下载nginx的windows版本，直接解压
nginx的端口默认是8888，确保nginx的服务有运行起来。

至此，fastDFS的基础服务tacker容器、storage容器、nginx服务都已配置好！

5. 其他命令

ps -aux|grep 8888 #查看监听端口

三、配置和依赖

配置

1. 在utils文件下新建一个fastdfs的文件夹
   
2. 在fastdfs文件下再创建一个logs文件夹存放日志信息以及client.conf的配置文件
   
3. 在官方文档中找到conf ——client.conf，将其中的内容复制到项目中的client.conf的配置文件中

配置内容已经复制下来，如下，做对应修改即可，步骤已写在注释中：

# connect timeout in seconds
# default value is 30s
# Note: in the intranet network (LAN), 2 seconds is enough.
connect_timeout = 5 #连接超时时间

# network timeout in seconds
# default value is 30s
network_timeout = 60 #网络超时时间

# the base path to store log files
base_path = utils/fastdfs/logs # 1.修改日志文件路径为fastdfs的日志存放路径

# tracker_server can ocur more than once for multi tracker servers.
# the value format of tracker_server is "HOST:PORT",
#   the HOST can be hostname or ip address,
#   and the HOST can be dual IPs or hostnames seperated by comma,
#   the dual IPS must be an inner (intranet) IP and an outer (extranet) IP,
#   or two different types of inner (intranet) IPs.
#   for example: 192.168.2.100,122.244.141.46:22122
#   another eg.: 192.168.1.10,172.17.4.21:22122

tracker_server = xxx.xxx.xxx.xxx:22122 # 2. 改成自己的tracker server 的ip地址和端口
# tracker_server = 192.168.0.196:22122 #有多个tracker server 就写多个

#standard log level as syslog, case insensitive, value list:
### emerg for emergency
### alert
### crit for critical
### error
### warn for warning
### notice
### info
### debug
log_level = info #日志等级为info

# if use connection pool
# default value is false
# since V4.05
use_connection_pool = false #是否使用连接池

# connections whose the idle time exceeds this time will be closed
# unit: second
# default value is 3600
# since V4.05
connection_pool_max_idle_time = 3600 #连接池的最大延时时间

# if load FastDFS parameters from tracker server
# since V4.05
# default value is false
load_fdfs_parameters_from_tracker = false

# if use storage ID instead of IP address
# same as tracker.conf
# valid only when load_fdfs_parameters_from_tracker is false
# default value is false
# since V4.05
use_storage_id = false

# specify storage ids filename, can use relative or absolute path
# same as tracker.conf
# valid only when load_fdfs_parameters_from_tracker is false
# since V4.05
storage_ids_filename = storage_ids.conf


#HTTP settings
http.tracker_server_port = 80

#use "#include" directive to include HTTP other settiongs
##include http.conf

依赖

下载py3Fdfs、mutagen、requests

上传验证，检查环境有无问题

通过nginx的ip地址+file_id可访问到图