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Database tuning project using Bayesian Optimization.

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Database tuning project

I used an Anaconda environment with Python3.8. The dependencies are in the requirements.txt file. To replicate the environment, you can just run:

conda create --name <envname> --file requirements.txt


Running python project/setup_optimizer_config.py will create the the json file(s) that are needed for hypermapper. The benchmark programs are located in project/programs and can be imported and run in the main file using python main.py. The benchmark class for RocksDB is defined in project/benchmark.py

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Database tuning project using Bayesian Optimization.

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