sparrow

KO | EN

gitlite — search

#javascript #python #hacktoberfest #react #ai #typescript #llm #go #golang #android #machine-learning #rust #deep-learning #linux

(★ 144)

C++20 idiomatic APIs for the Apache Arrow Columnar Format

sparrow 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# sparrow

[![GHA Linux](https://github.com/man-group/sparrow/actions/workflows/linux.yml/badge.svg)](https://github.com/man-group/sparrow/actions/workflows/linux.yml)
[![GHA OSX](https://github.com/man-group/sparrow/actions/workflows/osx.yml/badge.svg)](https://github.com/man-group/sparrow/actions/workflows/osx.yml)
[![GHA Windows](https://github.com/man-group/sparrow/actions/workflows/windows.yml/badge.svg)](https://github.com/man-group/sparrow/actions/workflows/windows.yml)
[![GHA Docs](https://github.com/man-group/sparrow/actions/workflows/deploy-pages.yaml/badge.svg)](https://github.com/man-group/sparrow/actions/workflows/deploy-pages.yaml)
[![Codecov](https://codecov.io/gh/man-group/sparrow/graph/badge.svg)](https://app.codecov.io/gh/man-group/sparrow)
[![Integration tests](https://github.com/man-group/sparrow/actions/workflows/integration_tests.yaml/badge.svg?branch=main)](https://github.com/man-group/sparrow/actions/workflows/integration_tests.yaml)

C++20 idiomatic APIs for the Apache Arrow Columnar Format

## Introduction

`sparrow` is an implementation of the Apache Arrow Columnar format in C++. It provides array structures
with idiomatic APIs and convenient conversions from and to the [C interface](https://arrow.apache.org/docs/dev/format/CDataInterface.html#structure-definitions).

Try it online without any installation ! [![Try Sparrow in JupyterLite](https://jupyterlite.rtfd.io/en/latest/_static/badge.svg)](https://man-group.github.io/sparrow/jupyterlite)

`sparrow` requires a modern C++ compiler supporting C++20.

## Installation

### Package managers

We provide a package for the mamba (or conda) package manager:

```bash
mamba install -c conda-forge sparrow
```

### Install from sources

`sparrow` has a few dependencies that you can install in a mamba environment:

```bash
mamba env create -f environment-dev.yml
mamba activate sparrow
```

You can then create a build directory, and build the project and install it with cmake:

```bash
mkdir build
cd build
cmake .. \
    -DCMAKE_BUILD_TYPE=Debug \
    -DCMAKE_INSTALL_PREFIX=$CONDA_PREFIX \
    -DBUILD_EXAMPLES=ON \
    -DBUILD_TESTS=ON \
    -DBUILD_DOCS=ON \
    ..
make install
```

## Usage

### Requirements

Compilers:
- Clang 18 or higher
- GCC 11.2 or higher
- Apple Clang 16 or higher
- MSVC 19.41 or higher

### Initialize data with sparrow and extract C data structures

```cpp
#include "sparrow/sparrow.hpp"
namespace sp = sparrow;

sp::primitive_array<int> ar = { 1, 3, 5, 7, 9 };
auto [arrow_array, arrow_schema] = sp::extract_arrow_structures(std::move(ar));
// Use arrow_array and arrow_schema as you need (serialization, passing it to
// a third party library)
// ...
// You are responsible for releasing the structure in the end
arrow_array.release(&arrow_array);
arrow_schema.release(&arrow_schema);
```

### Initialize data with sparrow and use C data structures

```cpp
#include "sparrow/sparrow.hpp"
namespace sp = sparrow;

sp::primitive_array<int> ar = { 1, 3, 5, 7, 9 };
// Caution: get_arrow_structures returns pointers, not values
auto [arrow_array, arrow_schema] = sp::get_arrow_structures(ar);
// Use arrow_array and arrow_schema as you need (serialization, passing it to
// a third party library)
// ...
// do NOT release the C structures in the end, the "ar" variable will do it for you
```

### Read data from somewhere and pass it to sparrow

```cpp
#include "sparrow/sparrow.hpp"
#include "third-party-lib.hpp"
namespace sp = sparrow;
namespace tpl = third_party_library;

ArrowArray array;
ArrowSchema schema;
tpl::read_arrow_structures(&array, &schema);

sp::array ar(&array, &schema);
// Use ar as you need
// ...
// You are responsible for releasing the structure in the end
array.release(&array);
schema.release(&schema);
```

### Read data from somewhere and move it into sparrow

```cpp
#include "sparrow/sparrow.hpp"
#include "third-party-lib.hpp"
namespace sp = sparrow;
namespace tpl = third_party_library;

ArrowArray array;
ArrowSchema schema;
tpl::read_arrow_structures(&array, &schema);

sp::array ar(std::move(array), std::move(schema));
// Use ar as you need
// ...
// do NOT release the C structures in the end, the "ar" variable will do it for you
```

## Documentation

The documentation (currently being written) can be found at https://man-group.github.io/sparrow/index.html

## Acknowledgements

This development has been funded as part of a collaboration between [ArcticDB](https://github.com/man-group/ArcticDB), Bloomberg, and [QuantStack](https://quantstack.net/).

## License

This software is licensed under the Apache License 2.0. See the [LICENSE](LICENSE) file for details.

sparrow

sparrow 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

sparrow

sparrow 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README