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Benchmarks
For our benchmark we are using a small subset of the dataset songs.csv. It was generated with this command:
xsv sample --seed 42 song.csv -o smol-songs.csv
You can download it here
And the original songs.csv
dataset is available here.
You need to put this file in the current directory: milli/milli/benches/smol-songs.csv.gz
You can run the following command from the root of this git repository
wget https://meili-datasets.s3.fr-par.scw.cloud/benchmarks/smol-songs.csv.gz -O milli/benches/smol-songs.csv.gz
- To run all the benchmarks we recommand using
cargo bench
, this should takes around ~4h - You can also run the benchmarks on the
songs
dataset withcargo bench --bench songs
, it should takes around 1h - And on the
wiki
dataset withcargo bench --bench wiki
, it should takes around 3h
By default the benchmarks expect the datasets to be uncompressed and present in milli/milli/benches
, but you can also specify your own path with the environment variable MILLI_BENCH_DATASETS_PATH
like that:
MILLI_BENCH_DATASETS_PATH=~/Downloads/datasets cargo bench --bench songs
Our benchmarking suite uses criterion which allow you to do a lot of configuration, see the documentation here