The starefossen/pgrouting Image provides a Docker Image with Postgres, PostGIS, and pgRouting installed. This image is based on the postgres and mdillon/postgis Docker Images.

Demo using pgRouting on Docker

The following Docker Image tags are supported.

pgRouting extends the PostGIS / PostgreSQL geospatial database to provide geospatial routing functionality.

In order to run a basic container capable of serving a pgRouting-enabled database, start a container as follows:

$ docker run --name some-pgrouting \
 -e POSTGRES_PASSWORD=mysecretpassword \
 -d starefossen/pgrouting

For more detailed instructions about how to start and control your Postgres container, see the documentation for the postgres image here.

Once you have started a database container, you can then connect to the database as follows:

$ docker run -it --link some-pgrouting:postgres --rm postgres \
 sh -c 'exec psql -h "$POSTGRES_PORT_5432_TCP_ADDR" -p "$POSTGRES_PORT_5432_TCP_PORT" -U postgres'

The starefossen/pgrouting images come in two flavors, each designed for a specific use case.

starefossen/pgrouting:latest

This is the bleeding edge latest version of the image. You should use this under active development, but not for stable production usage.

starefossen/pgrouting:<version>

This is the locked down version of the image. If comes in two variants, major versions major+minor for Postgres, PostGIS, and pgRouting as the version tag.

This Docker image is licensed under the MIT License.

Software contained in this image is licensed under the following:

• PostgreSQL: PostgreSQL License
• PostGIS: GNU GPL v2
• pgRouting: GNU GPL v2

This image is officially supported on Docker version 1.8.1.

Support for older versions (down to 1.0) is provided on a best-effort basis.

• Postgres
• PostGIS
• pgRouting

If you have any problems with or questions about this image, please contact us through a GitHub issue.

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.