GraphDB Container Images

This repository provides GraphDB container images published to GitHub Container Registry with support for linux/amd64 and linux/arm64.

Building

You will need docker and make installed on your machine.

1. Checkout this repository
2. Run

make build VERSION=<the-version-that-you-got>

For example the most recent version as of this writing is 10.0.2 so run

make build VERSION=10.0.2

This will build and push an image that you can use called ghcr.io/ternaustralia/graphdb:10.0.2. You can run the image now with

docker run -d -p 7200:7200 ghcr.io/ternaustralia/graphdb:10.0.2

Consult the docker hub documentation for more information.

Preload a repository

Go to the preload folder to run the bulk load data when GraphDB is stopped.

cd preload

By default it will:

• Create or override a repository defined in the graphdb-repo-config.ttl file (can be changed manually in the file, default is demo)
• Upload a test ntriple file from the preload/import subfolder.

See the GraphDB preload documentation for more details.

When running the preload docker-compose various parameters can be provided in the preload/.env file:

GRAPHDB_VERSION=10.0.0
GRAPHDB_HEAP_SIZE=2g
GRAPHDB_HOME=../graphdb-data
REPOSITORY_CONFIG_FILE=./graphdb-repo.ttl

Build and run:

docker-compose build
docker-compose up -d

GraphDB data will go to /data/graphdb

Go back to the root of the git repository to start GraphDB:

cd ..

Start GraphDB

To start GraphDB run the following from the root of the git repository:

docker-compose up -d

It will use the repo created by the preload in graphdb-data/

Feel free to add a .env file similar to the preload repository to define variables.

Issues

You can report issues in the GitHub issue tracker or at graphdb-support at ontotext.com

Contributing

You are invited to contribute new features, fixes, or updates, large or small; we are always thrilled to receive pull requests, and do our best to process them as fast as we can.

Before you start to code, we recommend discussing your plans through a GitHub issue, especially for more ambitious contributions. This gives other contributors a chance to point you in the right direction, give you feedback on your design, and help you find out if someone else is working on the same thing.