Reputation: 61
I'm starting a new project with Symfony 3 and I want to use Docker for the development environment. We will work on this project with a dozen developers so I want to have an easy install process.
Here's my docker-compose.yml
version: '2'
services:
db:
image: mysql
ports:
- "3307:3306"
environment:
MYSQL_ROOT_PASSWORD: root
MYSQL_DATABASE: mydb
MYSQL_USER: root
MYSQL_PASSWORD: root
php:
build: ./php-fpm
expose:
- "9001"
volumes:
- .:/var/www/project
- ./var/logs:/var/www/project/app/logs
links:
- db
nginx:
build: ./nginx
ports:
- "8001:80"
links:
- php
volumes_from:
- php
volumes:
- ./var/logs/nginx/:/var/log/nginx
I installed the recent Docker for Mac application (beta). The big issue is that my symfony app is very very slow (a simple page takes more than 5 seconds). The same app with MAMP is much faster (500ms max). Is this a know issue of Docker ? How can I debug it ?
Upvotes: 5
Views: 6952
Reputation: 1001
Actually I'm using docker to run projects locally. To run Docker faster I used the below setup:
Install normaly the dmg file.
Open your terminal and type:
`$ docker-machine create --driver virtualbox default `
`$ docker-machine env default`
`eval "$(docker-machine env default)"`
Now you have the docker-machine up and running, any docker-compose, docker command will run "inside the machine".
In our case "Symfony" is a large application. The docker-machine file system is under osxfs, so the application will be very slow.
Install with:
curl -s https://raw.githubusercontent.com/adlogix/docker-machine-nfs/master/docker-machine-nfs.sh | sudo tee /usr/local/bin/docker-machine-nfs > /dev/null && \ sudo chmod +x /usr/local/bin/docker-machine-nfs
Running
It will be necessary to type the root password
$ docker-machine-nfs default
Now your docker-machine is running under the nfs file system.
The speed will be regular.
Regulary the docker container will run under 192.168.99.100:9000
Running on terminal:
$ vboxmanage modifyvm default --natpf1 "default-map,tcp,,9000,,9000'
You can access from localhost:9000
Upvotes: 3
Reputation: 2232
It's possible to get performance with Docker for Mac almost as fast as native shared volumes with Linux by using Mutagen. A benchmark is available here.
I created a full example for a Symfony project, it can be used for any type of project in any language.
Upvotes: 1
Reputation: 476
Sorry for the late answer but you could install Docker CE Edge, because it supports cache mode.
docker-compose.yml
fileBlockquote
php:
volumes:
- ${SYMFONY_APP_PATH}:/var/www/symfony:cached
Replace ${SYMFONY_APP_PATH}
by your own path.
Upvotes: 6
Reputation: 903
Known issue
This is known issue https://forums.docker.com/t/file-access-in-mounted-volumes-extremely-slow-cpu-bound/8076.
I won't recommend https://www.docker.com/products/docker-toolbox if you have https://www.docker.com/docker-mac.
Docker for Mac does not use VirtualBox, but rather HyperKit, a lightweight macOS virtualization solution built on top of Hypervisor.framework in macOS 10.10 Yosemite and higher. https://docs.docker.com/docker-for-mac/docker-toolbox/#the-docker-for-mac-environment
My workaround
I have created workaround which may help you. I use http://docker-sync.io/ for my symfony project. Before using docker-sync page was loading 30 sec, now it's below 1 sec - https://github.com/Arkowsky/docker_symfony
Upvotes: 0
Reputation: 9082
I have a detailed solution to this problem in my answer here, docker on OSX slow volumes, please check it out.
I got it where there is no slow downs and no extra software to install.
Upvotes: 0
Reputation: 2019
I had a similar problem. In my case I was running a python script within a docker container and it was really slow. The way I solved this is using the "old" docker-toolbox.
It's not ideal, but worked for me
Upvotes: 0
Reputation: 193
This is a known issue. Your local file system is being mounted in the Docker for Mac linux VM with osxfs, there is some additional latency when reading and writing these mounted files. For small applications this isn't too noticeable, but for larger applications that could read thousands of files on a single request it is can slow things down significantly.
Upvotes: 6