Here’s the container on the Docker Hub : datastax-studio-docker.
DataStax Enterprise Graph is the first graph database fast enough to power customer facing applications, capable of scaling to massive datasets and advanced integrated tools capable of powering deep analytical queries. Because all of DataStax Enterprise is built on the core architecture of Apache Cassandra™, DataStax Enterprise Graph can scale to billions of objects, spanning hundreds of machines across multiple datacenters with no single point of failure.
Pretty cool, huh ?
There are a lot of things to explore with DSE Graph, and I will very likely present some of them in later posts. Today, I want to focus on a tool that arrived with DSE Graph : DataStax Studio.
DataStax Studio is an interactive tool for exploring and visualizing large datasets using DSE Graph. With Studio, it’s very easy to query and explore your graphs, with the help of an intelligent [Gremlin](https://en.wikipedia.org/wiki/Gremlin_(programming_language) editor.
As soon as I started playing with DSE 5.0, and therefore with DataStax Studio, I realised that Studio would be an ideal candidate for running in a Docker container.
So I created a container for DataStax Studio. Here’s the content of the Dockerfile :
FROM java:8 MAINTAINER Jeremie Vallee <firstname.lastname@example.org> RUN apt-get update # Get DataStax Studio WORKDIR /opt ADD https://downloads.datastax.com/datastax-studio/datastax-studio-1.0.0.tar.gz /opt/ RUN tar -xzvf datastax-studio-1.0.0.tar.gz -C . RUN rm datastax-studio-1.0.0.tar.gz RUN mkdir /var/lib/datastax-studio # Configure DataStax Studio RUN sed -i "s/ httpBindAddress: localhost/ httpBindAddress: 0.0.0.0/" /opt/datastax-studio-1.0.0/conf/configuration.yaml RUN sed -i "s/ baseDirectory: null/ baseDirectory: \/var\/lib\/datastax-studio/" /opt/datastax-studio-1.0.0/conf/configuration.yaml WORKDIR / # Expose DataStax Studio Port EXPOSE 9091 ENTRYPOINT ["/opt/datastax-studio-1.0.0/bin/server.sh"]
You can find the container on the Docker Hub : datastax-studio-docker.
You can also directly get the container with the following command :
docker pull jeremievallee/datastax-studio-docker
Once you have the container, you can start it by typing :
docker run -p 9091:9091 jeremievallee/datastax-studio-docker
Or, if you prefer using Docker Compose, you can use the following
docker-compose.yml file :
--- version: '2' services: dsestudio: image: jeremievallee/datastax-studio-docker:latest ports: - 9091:9091 container_name: dse-studio
And then run :
The service becomes quickly available at
Here’s the related Github project : jeremievallee/datastax-studio-docker.
Visualising your graph database has neven been easier.
Now go and have fun building amazing things with DSE Graph! ;-)