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139 lines
4.3 KiB
Markdown
139 lines
4.3 KiB
Markdown
# Podman Compose
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## [](https://github.com/containers/podman-compose/actions/workflows/test.yml)
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An implementation of [Compose Spec](https://compose-spec.io/) with [Podman](https://podman.io/) backend.
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This project focuses on:
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* rootless
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* daemon-less process model, we directly execute podman, no running daemon.
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This project only depends on:
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* `podman`
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* [podman dnsname plugin](https://github.com/containers/dnsname): It is usually found in
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the `podman-plugins` or `podman-dnsname` distro packages, those packages are not pulled
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by default and you need to install them. This allows containers to be able to resolve
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each other if they are on the same CNI network. This is not necessary when podman is using
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netavark as a network backend.
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* Python3
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* [PyYAML](https://pyyaml.org/)
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* [python-dotenv](https://pypi.org/project/python-dotenv/)
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And it's formed as a single Python file script that you can drop into your PATH and run.
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## References:
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* [spec.md](https://github.com/compose-spec/compose-spec/blob/master/spec.md)
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* [docker-compose compose-file-v3](https://docs.docker.com/compose/compose-file/compose-file-v3/)
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* [docker-compose compose-file-v2](https://docs.docker.com/compose/compose-file/compose-file-v2/)
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## Alternatives
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As in [this article](https://fedoramagazine.org/use-docker-compose-with-podman-to-orchestrate-containers-on-fedora/) you can setup a `podman.socket` and use unmodified `docker-compose` that talks to that socket but in this case you lose the process-model (ex. `docker-compose build` will send a possibly large context tarball to the daemon)
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For production-like single-machine containerized environment consider
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- [k3s](https://k3s.io) | [k3s github](https://github.com/rancher/k3s)
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- [MiniKube](https://minikube.sigs.k8s.io/)
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For the real thing (multi-node clusters) check any production
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OpenShift/Kubernetes distribution like [OKD](https://www.okd.io/).
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## Versions
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If you have legacy version of `podman` (before 3.1.0) you might need to stick with legacy `podman-compose` `0.1.x` branch.
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The legacy branch 0.1.x uses mappings and workarounds to compensate for rootless limitations.
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Modern podman versions (>=3.4) do not have those limitations, and thus you can use latest and stable 1.x branch.
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If you are upgrading from `podman-compose` version `0.1.x` then we no longer have global option `-t` to set mapping type
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like `hostnet`. If you desire that behavior, pass it the standard way like `network_mode: host` in the YAML.
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## Installation
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### Pip
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Install the latest stable version from PyPI:
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```bash
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pip3 install podman-compose
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```
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pass `--user` to install inside regular user home without being root.
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Or latest development version from GitHub:
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```bash
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pip3 install https://github.com/containers/podman-compose/archive/main.tar.gz
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```
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### Homebrew
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```bash
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brew install podman-compose
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```
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### Manual
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```bash
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curl -o /usr/local/bin/podman-compose https://raw.githubusercontent.com/containers/podman-compose/main/podman_compose.py
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chmod +x /usr/local/bin/podman-compose
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```
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or inside your home
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```bash
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curl -o ~/.local/bin/podman-compose https://raw.githubusercontent.com/containers/podman-compose/main/podman_compose.py
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chmod +x ~/.local/bin/podman-compose
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```
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or install from Fedora (starting from f31) repositories:
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```bash
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sudo dnf install podman-compose
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```
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## Basic Usage
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We have included fully functional sample stacks inside `examples/` directory.
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You can get more examples from [awesome-compose](https://github.com/docker/awesome-compose).
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A quick example would be
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```bash
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cd examples/busybox
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podman-compose --help
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podman-compose up --help
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podman-compose up
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```
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A more rich example can be found in [examples/awx3](examples/awx3)
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which have
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- A Postgres Database
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- RabbitMQ server
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- MemCached server
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- a django web server
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- a django tasks
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When testing the `AWX3` example, if you got errors, just wait for db migrations to end.
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There is also AWX 17.1.0
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## Tests
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Inside `tests/` directory we have many useless docker-compose stacks
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that are meant to test as many cases as we can to make sure we are compatible
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### Unit tests with unittest
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run a unittest with following command
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```shell
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python3 -m unittest discover tests/unit
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```
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# Contributing guide
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If you are a user or a developer and want to contribute please check the [CONTRIBUTING](CONTRIBUTING.md) section
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