This is a toy example of an e-commerce system.

Launch a single server instance or a cluster. Here is an example for a single server using Docker, but any other deployment method should work as well:

docker run -it -p 8529:8529 -e ARANGO_NO_AUTH=1 arangodb

Then use the arangosh to import the data (for example with Docker):

docker run -it --net=host -v `pwd`:/mnt arangodb arangosh --javascript.execute /mnt/shop.js

From then on you can use the web UI to look at the collections, the overall setup, the graphs. Furthermore, you can issue queries. To this end the easiest is to click on the "Queries" tab, click "Queries" there again and then in the bottom right corner "Import Queries". Choose the file shopQueries.json. Alternatively, the queries are also as JavaScript code in the file shopQueries.js.

To generate more data, run

docker run -it --net=host -v `pwd`:/mnt arangodb arangosh --javascript.execute /mnt/moreData.js

This creates 100000 random customers, 100000 random items, 100000 sales, 1000 shopping baskets and 100000 reviews with some likes.

To modify these numbers, set the following environment variables in the docker run call:

NRUSERS
NRITEMS
NRSALES
NRREVIEWS
NRSALES

Use, for example, -e NRUSERS=1000000 in docker run for moreData.js above.

There are altogether 6 collections, 4 vertex collections:

• customers
• items
• reviews
• baskets

and 2 edge collections:

• sales
• reviewRel

The general idea is that the sales edge collection has an edge from a customer to an item for each item the customer buys in a sale. Furthermore, the reviewRel collection has edges of type wrote and liked, each pointing from a customer to a review, with the obvious meaning.

The baskets collection is simply using ArangoDB as a key/value store, so it has many shards and no replication configured.

In a single server setup all sharding and replication settings are simply ignored.