[Win10 Home Docker environment memo (WSL2 or vagrant)] How to deal with the problem that the loading time of localhost is abnormally long

This Qiita is a memo of the process and result of trying to create a Docker environment.

In conclusion, it was important to ** set up and use WSL2 properly **.

environment

• Windows 10 Home
• WSL2(ubuntu 18.04)
• CPU: Core-i7
• RAM: 16GB
• Docker for windows

What I wanted to do

I want to run a super funny rails project in a Docker environment.

[What I did 1] Create a Docker environment with Vagrant operation

I found that using WSL2 caused some troublesome problems, so I decided to create a virtual environment with VM ware.

Procedure (miscellaneous)

1. Install Vagrant
2. Install Virtual Box
3. vagrant up , vagrant ssh
4. At the ssh login destination, the docker command

Conclusion

It takes about 4 or 5 minutes to access localhost and display the top page after rails s.

[What I did 2-1] Docker for windows part-1 with WSL2

Windows 10 Home does not have a Hyper-V environment, but if you use WSL2 well, you can use Docker, so I tried it.

Procedure (miscellaneous)

1. Install Docker for Windows
2. Allow WSL2 integration
3. It was usable

Problems that occurred

Like vagrant, the loading time to access localhost is unusually long ... (5,6 minutes)

[What I did 2-2] Docker for windows part-2 with WSL2

The problem that occurred above was that the loading time was abnormally long.

Cause

Upon investigation, the cause of this seems to be that disk access is taking a long time.

Specifically, in the above [What I did 2-1], ** from the ubuntu terminal with / mnt / c (go to the windows directory), I specified the project I want to run **, loading time Turned out to be abnormally long

solution

** Instead of going to the windows directory in / mnt / c, create a project on ubuntu where you want to run docker and run it. ** **

The loading time is about 10s.

Summary

Building a docker environment on Windows 10 Home is really annoying: thumbsdown:

However, if you set WSL2 properly, you can build an environment much faster than VM.