What to do if there is an error in docker mapping port

Solution to the docker mapping port error: 1. Switch to the root account; 2. Check the pid of the program running through the "netstat -nap" command; 3. Kill it through the "kill -9 2901 su u260517" command program and switch programs.

The operating environment of this tutorial: linux7.3 system, docker version 19.03, Dell G3 computer.

What should I do if there is an error in docker mapping port?

Docker mapping port error solution

1. Problem

docker run -itd --name hyperlpr_fastapi -p8668:8668 hyperlpr_fastapi:v1.0

When running the docker image, the port binding has been used:

docker: Error response from daemon: driver failed programming external connectivity on endpoint hyperlpr_fastapi (646d9ef9ad18cab0a5dd981d8fd2280f010d62c2b7c06dd1c17370fceeebfe86): Error starting userland proxy: listen tcp 0.0.0.0:8668: bind: address already in use.

2 , Solution

Switch to the root account, netstat -nap to check the pid of the program running, and look for the 8668 port. You can find that it is indeed occupied. Remember the PID

. Of course, you can also directly find a certain port. Check whether the port is occupied, command: netstat -nap | grep 8668

su root # 切换到root账户
netstat -nap | grep 8668 # 查看pid
tcp        0      0 0.0.0.0:8668            0.0.0.0:*               LISTEN      2901/python     
tcp   540778      0 127.0.0.1:54836         127.0.0.1:8668          CLOSE_WAIT  24527/python    
tcp   540778      0 127.0.0.1:54740         127.0.0.1:8668          CLOSE_WAIT  24527/python    
tcp   540778      0 127.0.0.1:54820         127.0.0.1:8668          CLOSE_WAIT  24527/python    
tcp   540778      0 127.0.0.1:54792         127.0.0.1:8668          CLOSE_WAIT  24527/python    
tcp   540778      0 127.0.0.1:54742         127.0.0.1:8668          CLOSE_WAIT  24527/python    
tcp   540778      0 127.0.0.1:54766         127.0.0.1:8668          CLOSE_WAIT  24527/python

kill PID, kill the process, here is kill 0

kill -9 2901 # 杀死程序
su u260517 # 切换到普通用户

Recommended study: "docker video tutorial》

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