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Result Visualization

Note

Before proceeding with result visualization, you need to test and obtain some result files according to the process in step-by-step-guide-for-benchmark.md

Preparation

Gather Test Results

MyScaleResults.jpg

Clone Our Benchmark Repo

git clone git@github.com:myscale/benchmark.git

Handle Test Results

Step1. Update Monthly Cost

The test results do not include the price of the cluster you tested, so you need to manually add the monthly price to the test results. You can modify the specific price information within the script

cd vector-db-benchmark/scripts
python3 handle_price.py

Step2. Generate benchmark.json

cd vector-db-benchmark/scripts
python3 process_result_files.py

If you are dealing with a filtered type of dataset, please refer to the more detailed documentation:

Then you will get a json file named benchmark.json, please replace old_benchmark.json with your new benchmark.json.

View Plotly Chart

Please start your website according to the readme, each result file corresponds one-to-one with a point in the scatter plot. ResultsVisualizePlotly.png