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apache / arrow / refs/tags/apache-arrow-19.0.0.dev
commit510be3629e86f31aab823e54429b41b3aef2b7fe[log] [tgz]
authorSutou Kouhei <kou@clear-code.com>Wed Oct 30 06:17:45 2024 +0900
committerSutou Kouhei <kou@clear-code.com>Wed Oct 30 06:17:45 2024 +0900
tree17a08fdb4f47636cfbd87415026ce2638e2cd43f
parent7f28835888c39205dd23c1c7a25acc2d89e121ee [diff]
MINOR: [Release] Update .deb/.rpm changelogs for 18.0.0
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tree: 17a08fdb4f47636cfbd87415026ce2638e2cd43f
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README.md

Apache Arrow

Fuzzing Status License Twitter Follow

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:

Arrow is an Apache Software Foundation project. Learn more at 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 on git main.

How to Contribute

Please read our latest project contribution guide.

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: