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apache / arrow / 89c0214fa43f8d1bf2e19e3bae0fc3009df51e15
commit89c0214fa43f8d1bf2e19e3bae0fc3009df51e15[log] [tgz]
authorSutou Kouhei <kou@clear-code.com>Sat Oct 01 20:46:17 2022 +0900
committerGitHub <noreply@github.com>Sat Oct 01 20:46:17 2022 +0900
treef35bf58270ce2c4beb5b2891a6fc98e5081a21a4
parent4dfa61767095b42822293f29b76e97474dbd3aa3 [diff]
ARROW-17868: [C++][Python] Restore the ARROW_PYTHON CMake option (#14273)

Restore it but it's marked as a deprecated option. Because the Python component in Apache Arrow C++ was moved to PyArrow by ARROW-16340. It' removed in a feature release.

Users should use CMake presets instead of ARROW_PYTHON but CMake presets requires CMake 3.19 or later.

Lead-authored-by: Sutou Kouhei <kou@clear-code.com>
Co-authored-by: Sutou Kouhei <kou@cozmixng.org>
Signed-off-by: Sutou Kouhei <kou@clear-code.com>
25 files changed
tree: f35bf58270ce2c4beb5b2891a6fc98e5081a21a4
  1. .github/
  2. c_glib/
  3. ci/
  4. cpp/
  5. csharp/
  6. dev/
  7. docs/
  8. format/
  9. go/
  10. java/
  11. js/
  12. matlab/
  13. python/
  14. r/
  15. ruby/
  16. testing
  17. .asf.yaml
  18. .clang-format
  19. .clang-tidy
  20. .clang-tidy-ignore
  21. .dir-locals.el
  22. .dockerignore
  23. .env
  24. .gitattributes
  25. .gitignore
  26. .gitmodules
  27. .hadolint.yaml
  28. .pre-commit-config.yaml
  29. .readthedocs.yml
  30. .travis.yml
  31. appveyor.yml
  32. CHANGELOG.md
  33. cmake-format.py
  34. CODE_OF_CONDUCT.md
  35. CONTRIBUTING.md
  36. docker-compose.yml
  37. go.work
  38. go.work.sum
  39. header
  40. LICENSE.txt
  41. NOTICE.txt
  42. 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: