Apache Arrow: колоночный формат и протоколы для обмена данными

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# Apache Arrow

[](https://bugs.chromium.org/p/oss-fuzz/issues/list?sort=-opened&can=1&q=proj:arrow) [](https://github.com/apache/arrow/blob/main/LICENSE.txt) [](https://bsky.app/profile/arrow.apache.org)

## Powering In-Memory Analytics

Apache Arrow is a universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics. It contains a set of technologies that enable data systems to efficiently store, process, and move data.

Major components of the project include:

- [The Arrow Columnar Format](https://arrow.apache.org/docs/dev/format/Columnar.html): a standard and efficient in-memory representation of various datatypes, plain or nested - [The Arrow IPC Format](https://arrow.apache.org/docs/dev/format/Columnar.html#serialization-and-interprocess-communication-ipc): an efficient serialization of the Arrow format and associated metadata, for communication between processes and heterogeneous environments - [ADBC (Arrow Database Connectivity)](https://github.com/apache/arrow-adbc/) `↗`: Arrow-powered API, drivers, and libraries for access to databases and query engines - [The Arrow Flight RPC protocol](https://github.com/apache/arrow/tree/main/format/Flight.proto): based on the Arrow IPC format, a building block for remote services exchanging Arrow data with application-defined semantics (for example a storage server or a database) - [C++ libraries](https://github.com/apache/arrow/tree/main/cpp) - [C bindings using GLib](https://github.com/apache/arrow/tree/main/c_glib) - [.NET libraries](https://github.com/apache/arrow-dotnet) `↗` - [Gandiva](https://github.com/apache/arrow/tree/main/cpp/src/gandiva): an [LLVM](https://llvm.org)-based Arrow expression compiler, part of the C++ codebase - [Go libraries](https://github.com/apache/arrow-go) `↗` - [Java libraries](https://github.com/apache/arrow-java) `↗` - [JavaScript libraries](https://github.com/apache/arrow-js) `↗` - [Julia implementation](https://github.com/apache/arrow-julia) `↗` - [Python libraries](https://github.com/apache/arrow/tree/main/python) - [R libraries](https://github.com/apache/arrow/tree/main/r) - [Ruby libraries](https://github.com/apache/arrow/tree/main/ruby) - [Rust libraries](https://github.com/apache/arrow-rs) `↗` - [Swift libraries](https://github.com/apache/arrow-swift) `↗`

The `↗` icon denotes that this component of the project is maintained in a separate repository.

Arrow is an [Apache Software Foundation](https://www.apache.org) project. Learn more at [arrow.apache.org](https://arrow.apache.org).

## What's in the Arrow libraries?

The reference Arrow libraries contain many distinct software components:

- Columnar vector and table-like containers (similar to data frames) supporting flat or nested types - Fast, language agnostic metadata messaging layer (using Google's FlatBuffers library) - Reference-counted off-heap buffer memory management, for zero-copy memory sharing and handling memory-mapped files - IO interfaces to local and remote filesystems - Self-describing binary wire formats (streaming and batch/file-like) for remote procedure calls (RPC) and interprocess communication (IPC) - Integration tests for verifying binary compatibility between the implementations (e.g. sending data from Java to C++) - Conversions to and from other in-memory data structures - Readers and writers for various widely-used file formats (such as Parquet, CSV)

## Implementation status

The official Arrow libraries in this repository are in different stages of implementing the Arrow format and related features. See our current [feature matrix](https://arrow.apache.org/docs/dev/status.html) on git main.

## How to Contribute

Please read our latest [project contribution guide][4].

If you are using AI coding tools, please review our [AI-generated code guidance][7].

## Getting involved

Even if you do not plan to contribute to Apache Arrow itself or Arrow integrations in other projects, we'd be happy to have you involved:

- Join the mailing list: send an email to [dev-subscribe@arrow.apache.org][1]. Share your ideas and use cases for the project. - Follow our activity on [GitHub issues][3] - [Learn the format][2] - Contribute code to one of the reference implementations

## Continuous Integration Sponsors

We use [runs-on][5] for managing the project self-hosted runners. We use [AWS][6] for some of the required infrastructure for the project.

[1]: mailto:dev-subscribe@arrow.apache.org [2]: https://github.com/apache/arrow/tree/main/format [3]: https://github.com/apache/arrow/issues [4]: https://arrow.apache.org/docs/dev/developers/index.html [5]: https://runs-on.com/ [6]: https://aws.amazon.com/ [7]: https://arrow.apache.org/docs/dev/developers/overview.html#ai-generated-code