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apache / arrow / refs/tags/apache-arrow-18.0.0
tag588813341f406fc341045c1f049ea5fbb1db1b80
taggerRaúl Cumplido <raulcumplido@gmail.com>Mon Oct 28 09:54:05 2024 +0100
object037f4c195bab12895f7182d7c167b184bd6953cb 
[Release] Apache Arrow Release 18.0.0
tag037f4c195bab12895f7182d7c167b184bd6953cb
taggerRaúl Cumplido <raulcumplido@gmail.com>Wed Oct 16 11:20:06 2024 +0200
object9105a4109a80a1c01eabb24ee4b9f7c94ee942cb 
[Release] Apache Arrow Release 18.0.0 RC0
commit9105a4109a80a1c01eabb24ee4b9f7c94ee942cb[log] [tgz]
authorRaúl Cumplido <raulcumplido@gmail.com>Wed Oct 16 11:20:06 2024 +0200
committerRaúl Cumplido <raulcumplido@gmail.com>Wed Oct 16 11:20:06 2024 +0200
tree22d7d3bd1c856b21b178e14c5c2847207ff967ae
parente47bf462c9146a1efe71ed9c33e225f7bf0ba48e [diff]
MINOR: [Release] Update versions for 18.0.0
48 files changed
tree: 22d7d3bd1c856b21b178e14c5c2847207ff967ae
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  8. format/
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  31. CHANGELOG.md
  32. cmake-format.py
  33. CODE_OF_CONDUCT.md
  34. CONTRIBUTING.md
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  37. header
  38. LICENSE.txt
  39. NOTICE.txt
  40. README.md
README.md

Apache Arrow

Fuzzing Status License Twitter Follow

Powering In-Memory Analytics

Apache Arrow is a development platform for in-memory analytics. It contains a set of technologies that enable big data systems to process and move data fast.

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: