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192d232d41f2a61ae45ab520af870675af674355

GH-44008: [C++][Parquet] Add support for arrow::ArrayStatistics: boolean (#44009)

kkou committed 4 hours ago
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a6f736c962adddd0f7078a10338fe8f1445c583b

GH-44155: [Archery][Integration] Rename "language" to "implementation" (#44156)

kkou committed a day ago
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4013815efbd6d8680c21379655a66f392f073751

GH-43873: [Go][CI] Remove Go related test CI (#44143)

rraulcd committed a day ago
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ee188600c511503b2973a569d7ec47b257655ebd

MINOR: [Docs] Fix number of minor format versions since 1.0.0 (#44163)

iianmcook committed a day ago
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acf15bb1290e8b6a5795f753dbeeb2d911579214

MINOR: [C++][CI] Move ThreadSanitizer build to Ubuntu 24.04 (#44159)

ppitrou committed a day ago
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1c1f7f359d61b59e446b0a47e0279728551ed89f

GH-43964: [Python] Build macOS and manylinux wheels for free-threading (#43965)

llysnikolaou committed 2 days ago

README

The README file for this repository.

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: