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Online money management project: How to run with docker

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Manual run

Start app within a LAMP based image

  • Start Docker LAMP
docker run -i -t -p "80:80" -v ${PWD}/app:/app -v ${PWD}/mysql:/var/lib/mysql --restart=unless-stopped mattrayner/lamp:latest

The command leverages mattrayner/lamp image to start a container running the LAMP stack. It expects a folder "app" at the directory where the command was run, where php code is stored.

The container will start a mysql database server, create a mysql folder at the directory where the command is run and mount that folder to var/lib/mysql inside the runnign container.

--restart=unless-stopped flag will automatically restart the container if it crashes, is stopped, or if the host machine reboots, ensuring that the application is always running unless it is explicitly stopped.

  • Create database The app requires the database CreditCard to be created in order to function properly. Create it with
docker exec CONTAINER_ID  mysql -uroot -e "create database CreditCard"

Copy data from XAMPP

The app requires its mysql database to have certain tables and relations already defined in order to function properly. Therefore, it was necessay to export mysql database from this xampp folder. This may be a one-time step only since data is persisted in the docker container ran above.

The following are the step to get data from xampp;

  • export mysql database with mysqldump
mysqldump -u root -p CreditCard > creditcard.sql

where CreditCard is the name of a database in xampp and creditcard.sql is the name of the exported file

  • convert windows endings to unix line endings

If the data was exported on a windows machine, the file will need to be converted for linux (mattrayner/lamp is a linux based image)

dos2unix /path/to/creditcard.sql
  • import mysql database into lamp running instance
mysql -u root -p CreditCard < creditcard.sql

"mysql" command is available inside var/lib/mysql of the running container. The file, creditcard.sql will need to be accessible from within the container. The file can be placed there with docker cp.

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