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2 years ago | |
|---|---|---|
| config/db | 2 years ago | |
| spark-packages | 3 years ago | |
| src/spark | 2 years ago | |
| .gitignore | 2 years ago | |
| README.md | 3 years ago | |
| bench.py | 2 years ago | |
| clean.py | 3 years ago | |
| settings.json | 3 years ago | |
| setup.py | 2 years ago | |
| small_test_data.csv | 3 years ago | |
| start_services.sh | 3 years ago | |
| submit.sh | 3 years ago | |
| submit_graph.sh | 3 years ago | |
| submit_partition.sh | 3 years ago |
TODO
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.
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.python3 setup.py from the project root. Per default this will move small_test_data.csv into the transactions table.submit.sh (slow) or submit_graph.sh (faster)python3 clean.py. Be wary that this wipes all table definitions and data.