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28 lines
1.4 KiB
Markdown
28 lines
1.4 KiB
Markdown
Benchmarks
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==========
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For our benchmark we are using a small subset of the dataset songs.csv. It was generated with this command:
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```
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xsv sample --seed 42 song.csv -o smol-songs.csv
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```
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You can download it [here](https://meili-datasets.s3.fr-par.scw.cloud/benchmarks/smol-songs.csv.gz)
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And the original `songs.csv` dataset is available [here](https://meili-datasets.s3.fr-par.scw.cloud/songs.csv.gz).
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You need to put this file in the current directory: `milli/milli/benches/smol-songs.csv.gz`
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You can run the following command from the root of this git repository
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```
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wget https://meili-datasets.s3.fr-par.scw.cloud/benchmarks/smol-songs.csv.gz -O milli/benches/smol-songs.csv.gz
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```
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- To run all the benchmarks we recommand using `cargo bench`, this should takes around ~4h
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- You can also run the benchmarks on the `songs` dataset with `cargo bench --bench songs`, it should takes around 1h
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- And on the `wiki` dataset with `cargo bench --bench wiki`, it should takes around 3h
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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:
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```
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MILLI_BENCH_DATASETS_PATH=~/Downloads/datasets cargo bench --bench songs
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```
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Our benchmarking suite uses criterion which allow you to do a lot of configuration, see the documentation [here](https://bheisler.github.io/criterion.rs/book/user_guide/user_guide.html)
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