Running TPA in a Docker container#
If you’re using a system for which there are no Installing TPA packages available, and it’s difficult to run TPA after Building and installing from source (for example, because it’s not easy to obtain a working Python 3.9+ interpreter), your last resort might be to build a Docker image and run TPA inside a Docker container.
You don’t need to run TPA in a Docker container to deploy to Docker containers . It’s always preferable to run TPA directly if you can, even on MacOS X.
Quick start#
Make sure you have Docker installed and working on your system.
To clone the tpaexec source repository from Github and build a new
Docker image named tpa/tpaexec , run the following commands:
$ git clone ssh://git@github.com/EnterpriseDB/tpa.git
$ cd tpa
$ docker build -t tpa/tpaexec .
Double-check the created image:
$ docker image ls tpa/tpaexec
REPOSITORY TAG IMAGE ID CREATED SIZE
tpa/tpaexec latest e145cf8276fb 8 seconds ago 1.73GB
$ docker run --platform=linux/amd64 --rm tpa/tpaexec tpaexec info
# TPAexec v20.11-59-g85a62fe3 (branch: master)
tpaexec=/usr/local/bin/tpaexec
TPA_DIR=/opt/EDB/TPA
PYTHON=/opt/EDB/TPA/tpa-venv/bin/python3 (v3.7.3, venv)
TPA_VENV=/opt/EDB/TPA/tpa-venv
ANSIBLE=/opt/EDB/TPA/tpa-venv/bin/ansible (v2.8.15)
Create a TPA container and make your cluster configuration directories available inside the container:
$ docker run --platform=linux/amd64 --rm -v ~/clusters:/clusters \
-it tpa/tpaexec:latest
You can now run commands like tpaexec provision /clusters/speedy at
the container prompt. (When you exit the shell, the container is
removed.)
If you want to provision Docker containers using TPA, you must also allow the container to access the Docker control socket on the host:
$ docker run --platform=linux/amd64 --rm -v ~/clusters:/clusters \
-v /var/run/docker.sock:/var/run/docker.sock \
-it tpa/tpaexec:latest
Run docker ps in the container to make sure that your connection to
the host Docker daemon is working.
Installing Docker#
See the Docker documentation if you need help installing Docker and getting started with it.
On MacOS X, you can and launch Docker from the application menu.