Apache Jena Fuseki with SeCo extensions.
Available in Docker Hub: secoresearch/fuseki.
The Fuseki administrative interface is accessible at http://localhost:3030 with the admin password defined as docker run parameter (see the Run section below).
The container has a preconfigured service/dataset ds that uses TDB for data storage and has a Lucene text index (see assembler.ttl for configuration).
The dataset has the tdb:unionDefaultGraph set to true, meaning that the query patterns on the default graph match against the union of the named graphs. Note: the stored default graph is not part of this union of the named graphs. Thus, if you add data into the default graph, you will have to access the graph data by using the special name <urn:x-arq:DefaultGraph> in a GRAPH pattern.
The query timeout is configured to 60 seconds by default (see the Run section below for instructions on configuration).
The data can be accessed via the default endpoints:
- SPARQL 1.1 query:
http://localhost:3030/ds/sparql - Graph Store HTTP Protocol (read-only):
http://localhost:3030/ds/data
Other endpoints can be enabled, as well (see the Run section for instructions):
- SPARQL 1.1 Update:
http://localhost:3030/ds/update - Graph Store HTTP Protocol with write access:
http://localhost:3030/ds/data - File Upload:
http://localhost:3030/ds/upload
The container includes Jena tdbloader, textindexer, and tdbstats scripts for loading RDF data into TDB model. See the Dockerfile of the congress-legislators dataset for an example.
There are two options for persistent data storage (by default the data is lost when the container is removed):
- Use volume/bind mount for the directory
/fuseki-base/databases. Useful if you need to update the data in runtime, or you don't want to include the data inside your Docker image (e.g. to keep the image size small; see theRunsection below for an example). - Create your own Dockerfile, using secoresearch/fuseki as a parent image, and load the data in the build phase (i.e. the data is included in the Docker image). Useful for static, small(ish), read-only datasets, and for distributing your dataset + Fuseki as a self-contained container image. See the Dockerfile of the congress-legislators dataset for an example.
Note: if you wish to add new datasets using the Fuseki admin UI - and persist them - you also need to use volume/bind mount for the directory /fuseki-base/configuration. In that case, you will have to copy the assembler.ttl on the volume/bind mount so that it is visible for the container as /fuseki-base/configuration/assembler.ttl.
Note on running in OpenShift, if you use this image as a parent image (e.g. use your own Dockerfile to load the data inside the image using TDBLOADER): as containers are run as an arbitrary user, you'll have to ensure the write permission on the TDB and index directories, e.g. by adding the following lines in your Dockerfile after the tdbloader and indexing commands:
# Set permissions to allow fuseki to run as an arbitrary user
RUN chgrp -R 0 $FUSEKI_BASE \
&& chmod -R g+rwX $FUSEKI_BASE
docker build --squash -t secoresearch/fuseki .
docker run --rm -it -p 3030:3030 --name fuseki -e ADMIN_PASSWORD=[PASSWORD] -e ENABLE_DATA_WRITE=[true|false] -e ENABLE_UPDATE=[true|false] -e ENABLE_UPLOAD=[true|false] -e QUERY_TIMEOUT=[number in milliseconds] --mount type=bind,source="$(pwd)"/fuseki-data,target=/fuseki-base/databases secoresearch/fuseki
Or to support adding new datasets using the Fuseki admin UI:
mkdir fuseki-data
mkdir fuseki-configuration
cp -p assembler.ttl fuseki-configuration/
docker run --rm -it -p 3030:3030 --name fuseki -e ADMIN_PASSWORD=[PASSWORD] -e ENABLE_DATA_WRITE=[true|false] -e ENABLE_UPDATE=[true|false] -e ENABLE_UPLOAD=[true|false] -e QUERY_TIMEOUT=[number in milliseconds] --mount type=bind,source="$(pwd)"/fuseki-data,target=/fuseki-base/databases --mount type=bind,source="$(pwd)"/fuseki-configuration,target=/fuseki-base/configuration secoresearch/fuseki
The same run command can be used to pull and run the container from Docker Hub (no need to build the image first).