分布式文件系统-FastDFS的使用分享_fastdfs use_connection_pool

FastDFS是一个用C语言编写的开源的轻量级分布式文件系统，支持文件上传和下载功能，它由3部分以下组成（FastDFS服务器端有两个角色：跟踪器（tracker）和存储节点（storage））：

•  client，客户端,用来上传和下载图片的
•  tracker, 跟踪服务器，主要做调度工作，起负载均衡的作用
•  storage, 存储服务器, 文件和文件属性都保存到存储服务器上

 使用Docker安装FastDFS服务器段的tracker和storage

1、获取dastdfs镜像

• 1.1.远程下载镜像 sudo docker image pull delron/faskdfs
• 1.2.本地镜像加载 sudo docker load -i 文件路径/faskdfs_docker.tar

2、创建tracker容器

         sudo docker run -itd --network=host --name=tracker -v /var/fdfs/tracker:/var/fdfs delron/fstdfs tracker

        解释： 将delron/fastdfs目录映射到/var/fdfs/目录中，并创建名字为tracker的容器

3、运行tracker

         sudo docker container start tracker

4、创建storage容器 (我虚拟机的IP：192.168.31.198)     

        sudo docker run -dti --network=host --name=storage -e TRACKER_SERVER=192.168.31.198:22122 -v /var/fdfs/storage:/var/fdfs delron/fastdfs storage

注意点： 22122:是tracker的端口 8888:是storage的端口

5、在python虚拟环境中安装第3方库作为客户端

pip3 install py3Fdfs

6、修改client.conf配置文件，主要根据自己的环境情况修改图中圈的两个地方

 client.conf配置文件所有内容如下图：

# connect timeout in seconds
# default value is 30s
connect_timeout=30
 
# network timeout in seconds
# default value is 30s
network_timeout=120
 
# the base path to store log files
base_path=C:/Users/86183/Desktop
 
# tracker_server can ocur more than once, and tracker_server format is
#  "host:port", host can be hostname or ip address
tracker_server=192.168.31.198:22122
 
#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
 
# if use connection pool
# default value is false
# since V4.05
use_connection_pool = false
 
# 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
 
# 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

7、上传文件代码如下

 from fdfs_client import client
 
tracker=client.get_tracker_conf(r'D:\day01\meiduo17\meiduo_mall\meiduo_mall\utils\fdfs\client.conf')
client=client.Fdfs_client(tracker) result=client.upload_by_filename(r'C:\Users\86183\Desktop\shu.jpg')  
 
print(result) 
#输出内容，代表上传成功
{'Group name': b'group1', 'Remote file_id': b'group1/M00/00/00/wKgfxmLTt7SAaNlKAALYUDObmaQ485.jpg', 'Status': 'Upload successed.', 'Local file name': 'C:\ \Users\\86183\\Desktop\\shu.jpg', 'Uploaded size': '182.08KB', 'Storage IP': b'192.168.31.198'} 

8、通过在浏览器端访问192.168.31.198:8888/group1/M00/00/00/wKgfxmLTt7SAaNlKAALYUDObmaQ485.jpg来判断文件有没有上传成功，点击enter之后出现了你上传的图片，说明上传成功