FastLanes is like Parquet with 40% better compression and 40× faster decoding.

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Getting Started

Python

import pyfastlanes

# Connect to FastLanes
conn = pyfastlanes.connect()

# Convert a CSV directory to FastLanes format
conn.inline_footer().read_csv("path/to/csv_dir").to_fls("data.fls")

# Read back and write to CSV
reader = conn.read_fls("data.fls")
reader.to_csv("decoded.csv")

C++

Add FastLanes as a dependency via CMake:

include(FetchContent)
FetchContent_Declare(
        fastlanes
        GIT_REPOSITORY https://github.com/cwida/FastLanes.git
        GIT_TAG dev
)
FetchContent_MakeAvailable(fastlanes)

add_executable(example example.cpp)
target_link_libraries(example PRIVATE FastLanes)

Example usage:

#include "fastlanes.hpp"

int main() {
    fastlanes::Connection conn;
    conn.read_csv("data/csv_dir").to_fls("data.fls");

    auto reader = fastlanes::Connection().read_fls("data.fls");
    reader->to_csv("decoded.csv");
    return EXIT_SUCCESS;
}

Rust

Add FastLanes Rust bindings to your Cargo.toml:

[dependencies]
fls-rs = { path = "./rust" }

use anyhow::Result;
use fls_rs::connect;

fn main() -> Result<()> {
    let mut conn = connect();
    conn.inline_footer()
        .read_csv("data/csv_dir")
        .to_fls("data.fls");

    conn.read_fls("data.fls")
        .to_csv("decoded.csv");
    Ok(())
}

Coming Soon

• CUDA support for FastLanes CUDA reader

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Publications

• Azim Afroozeh & Peter Boncz, “The FastLanes Compression Layout: Decoding > 100 Billion Integers per Second with Scalar Code,” PVLDB, 16(9): 2132–2144, May 2023

  • Read the paper
  • Source code

• Azim Afroozeh, Lotte Felius & Peter Boncz, “Accelerating GPU Data Processing Using FastLanes Compression,” DaMoN ’24, Proceedings of the 20th International Workshop on Data Management on New Hardware, Santiago, Chile, June 2024

  • Read the paper
  • Source code

• Azim Afroozeh, Leonardo Kuffó & Peter Boncz, “ALP: Adaptive Lossless Floating-Point Compression,” SIGMOD ’24, ACM SIGMOD, June 2024

  • Read the paper
  • Source code

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How to Cite

If you use FastLanes in your research or projects, please cite:

@article{afroozeh2023fastlanes,
    author = {Afroozeh, Azim and Boncz, Peter},
    title = {The FastLanes Compression Layout: Decoding > 100 Billion Integers per Second with Scalar Code},
    journal = {Proceedings of the VLDB Endowment},
    volume = {16},
    number = {9},
    pages = {2132--2144},
    month = may,
    year = {2023},
    publisher = {VLDB Endowment}
}

@inproceedings{afroozeh2024accelerating,
    author = {Afroozeh, Azim and Felius, Lotte and Boncz, Peter},
    title = {Accelerating GPU Data Processing Using FastLanes Compression},
    booktitle = {DaMoN ’24: Proceedings of the 20th International Workshop on Data Management on New Hardware},
    pages = {1--11},
    month = jun,
    year = {2024},
    organization = {ACM},
    doi = {10.1145/3662010.3663450}
}

@inproceedings{afroozeh2024alp,
    author = {Afroozeh, Azim and Kuffó, Leonardo and Boncz, Peter},
    title = {ALP: Adaptive Lossless Floating-Point Compression},
    booktitle = {SIGMOD ’24: Proceedings of the 2024 ACM SIGMOD International Conference on Management of Data},
    pages = {1--13},
    month = jun,
    year = {2024},
    organization = {ACM},
    doi = {10.1145/3626717}
}

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License

This project is released under the MIT License.

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Join Our Community

Come discuss FastLanes, share feedback, and help shape the future of data formats on Discord: