Project Description

TODO

Installation

Prerequisites:

• Python3
• Apache spark 3.2 (https://spark.apache.org/downloads.html)
• Cassandra DB (https://cassandra.apache.org/_/index.html, locally the docker build is recommended: https://hub.docker.com/_/cassandra)

For the graph implementation specifically you need to install graphframes manually from a third party since the official release is incompatible with spark 3.x (pull request pending). A prebuilt copy is supplied in the spark-packages directory.

• graphframes (https://github.com/eejbyfeldt/graphframes/tree/spark-3.3)

Setting up

• Modify settings.json to reflect your setup. If you are running everything locally you can use start_services.sh to turn everything on in one swoop. It might take a few minutes for Cassandra to become available.
• Load the development database by running python3 setup.py from the project root. Per default this will move small_test_data.csv into the transactions table.

Deploying:

• Start the spark workload by either running submit.sh (slow) or submit_graph.sh (faster)
• If you need to clean out the Database you can run python3 clean.py. Be wary that this wipes all table definitions and data.