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In the root directory, symfony_docker, create a directory called php. To do this, we will build the PHP container from a Dockerfile.

Unlike the database container, we need to specify some additional instructions to set up our PHP container. We declare a volume in this case so that our database won't be lost when the containers are destroyed or rebuilt. According to the Docker documentation: Volumes are the preferred mechanism for persisting data generated by and used by Docker containers Note: Port 4306 was specified in the event that MySQL service is already running on your computer.įinally, we declare a volume, using the volume key. Using the ports key, we specify a port on our local development machine and map it to a port on the container which will be used to handle database connections. We need a port to connect to our database. Using the environment key, we can specify environment variables such as the database's name, user, and password, as well as the root user's password. In this case, we've specified mysql:8.0 because we want to use version 8 of MySQL.Ĭommand specifies the authentication plugin to be used by MySQL for authenticating users. Image lets Docker know what image (blueprint) we want to build the container from. To get started, create a new directory named symfony_docker and switch to it, using the commands belowĬontainer_name sets the actual name of the container when it runs, rather than letting Docker Compose generate it.

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Feel free to go through it if any of these terms is unfamiliar.

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Jeff Hale wrote a brilliant series that explains these terms.

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In this article, I will show you how to use Docker with a Symfony project.

Containers make shared use of the underlying operating system kernel, but otherwise, run in isolation from one another.īy integrating Docker into your Symfony project, you can be assured that whenever your application is running, the environment and its configuration will be the same-regardless of where it's deployed. It adds predictability to applications by building them in containers, which are small and lightweight execution environments. In fact, it can be even more confusing if an error only occurs on one OS, leading to the famous phrase: It works on my machine. The same is also true of the environments their applications are deployed to.Īs a result, when certain errors occur, it becomes difficult to trace the source of the problem.

While Git has gone a long way in terms of version control and ensuring that everyone can work on a codebase without issues, there's still the risk of disruption as a result of the working environment.ĭevelopers have varying preferences in terms of preferred operating systems ( Windows, macOS, and Linux).

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Developing software across teams is difficult - be it managing codebases or ensuring everything works for everyone at all times.