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apache / arrow / 384ea25e7a4583da170dfb65d29702a6c8ad14f4
commit384ea25e7a4583da170dfb65d29702a6c8ad14f4[log] [tgz]
authorSutou Kouhei <kou@clear-code.com>Sat Jan 31 10:37:33 2026 +0900
committerGitHub <noreply@github.com>Sat Jan 31 10:37:33 2026 +0900
tree515eeda79cbcd642195e20a86e345702e536e3f8
parentacb62888c66b8b6b2265e7e8b883a92ab3720ca9 [diff]
GH-49071: [Ruby] Add support for writing list and large list arrays (#49072)

### Rationale for this change

They use different offset size.

### What changes are included in this PR?

* Add `ArrowFormat::ListType#to_flatbuffers`
* Add `ArrowFormat::LargeListType#to_flatbuffers`
* Add `ArrowFormat::VariableSizeListArray#child`
* Add `ArrowFormat::VariableSizeListArray#each_buffer`
* `garrow_array_get_null_bitmap()` returns `NULL` when null bitmap doesn't exist
* Add `garrow_list_array_get_value_offsets_buffer()`
* Add `garrow_large_list_array_get_value_offsets_buffer()`

### Are these changes tested?

Yes.

### Are there any user-facing changes?

Yes.
* GitHub Issue: #49071

Authored-by: Sutou Kouhei <kou@clear-code.com>
Signed-off-by: Sutou Kouhei <kou@clear-code.com>
8 files changed
tree: 515eeda79cbcd642195e20a86e345702e536e3f8
  1. .github/
  2. c_glib/
  3. ci/
  4. cpp/
  5. dev/
  6. docs/
  7. format/
  8. matlab/
  9. python/
  10. r/
  11. ruby/
  12. testing
  13. .asf.yaml
  14. .clang-format
  15. .clang-tidy
  16. .clang-tidy-ignore
  17. .dockerignore
  18. .editorconfig
  19. .env
  20. .gitattributes
  21. .gitignore
  22. .gitmodules
  23. .hadolint.yaml
  24. .pre-commit-config.yaml
  25. .rubocop.yml
  26. .shellcheckrc
  27. CHANGELOG.md
  28. cmake-format.py
  29. CODE_OF_CONDUCT.md
  30. compose.yaml
  31. CONTRIBUTING.md
  32. CPPLINT.cfg
  33. LICENSE.txt
  34. NOTICE.txt
  35. README.md
README.md

Apache Arrow

Fuzzing Status License BlueSky Follow

Powering In-Memory Analytics

Apache Arrow is a universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics. It contains a set of technologies that enable data systems to efficiently store, process, and move data.

Major components of the project include:

The ↗ icon denotes that this component of the project is maintained in a separate repository.

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:

Continuous Integration Sponsors

We use runs-on for managing the project self-hosted runners. We use AWS for some of the required infrastructure for the project.