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apache / arrow / b07027e553a5d9dd0a4b4093ece5f45c93848d2e
commitb07027e553a5d9dd0a4b4093ece5f45c93848d2e[log] [tgz]
authorIan Cook <ianmcook@gmail.com>Fri Mar 05 20:00:09 2021 -0800
committerNeal Richardson <neal.p.richardson@gmail.com>Fri Mar 05 20:00:09 2021 -0800
tree1fa4cfebac80b85994942415797eab3805ca3173
parentd6ba4f8b7dd50a709ba2f0a4bd4b89ec94a13b64 [diff]
ARROW-11735: [R] Allow Parquet and Arrow Dataset to be optional components

Not implemented for Windows yet (that's ARROW-11884)

Closes #9610 from ianmcook/ARROW-11735

Lead-authored-by: Ian Cook <ianmcook@gmail.com>
Co-authored-by: Neal Richardson <neal.p.richardson@gmail.com>
Signed-off-by: Neal Richardson <neal.p.richardson@gmail.com>
32 files changed
tree: 1fa4cfebac80b85994942415797eab3805ca3173
  1. .github/
  2. c_glib/
  3. ci/
  4. cpp/
  5. csharp/
  6. dev/
  7. docs/
  8. format/
  9. go/
  10. java/
  11. js/
  12. julia/
  13. matlab/
  14. python/
  15. r/
  16. ruby/
  17. rust/
  18. testing
  19. .asf.yaml
  20. .clang-format
  21. .clang-tidy
  22. .clang-tidy-ignore
  23. .dir-locals.el
  24. .dockerignore
  25. .env
  26. .gitattributes
  27. .gitignore
  28. .gitmodules
  29. .hadolint.yaml
  30. .pre-commit-config.yaml
  31. .readthedocs.yml
  32. .travis.yml
  33. appveyor.yml
  34. CHANGELOG.md
  35. cmake-format.py
  36. CODE_OF_CONDUCT.md
  37. CONTRIBUTING.md
  38. docker-compose.yml
  39. header
  40. LICENSE.txt
  41. NOTICE.txt
  42. README.md
  43. run-cmake-format.py
README.md

Apache Arrow

Build Status Coverage Status 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: