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apache / arrow / 0d30a05212b1448f53233f2ab325924311d76e54
commit0d30a05212b1448f53233f2ab325924311d76e54[log] [tgz]
authorJoris Van den Bossche <jorisvandenbossche@gmail.com>Tue May 03 18:50:17 2022 +0200
committerKrisztián Szűcs <szucs.krisztian@gmail.com>Tue May 03 18:54:38 2022 +0200
treede15ba1690864746926389a41fd6b9c86e5eff48
parentffd80740ee629cd5240f3da725b3a9e0020b84bf [diff]
ARROW-16413: [Python] Certain dataset APIs hang with a python filesystem

Closes #13033 from jorisvandenbossche/ARROW-16413

Authored-by: Joris Van den Bossche <jorisvandenbossche@gmail.com>
Signed-off-by: Krisztián Szűcs <szucs.krisztian@gmail.com>
3 files changed
tree: de15ba1690864746926389a41fd6b9c86e5eff48
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  33. CHANGELOG.md
  34. cmake-format.py
  35. CODE_OF_CONDUCT.md
  36. CONTRIBUTING.md
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  38. header
  39. LICENSE.txt
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  41. 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 master.

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: