GH-48675: [C++][FlightRPC] Document StatementAttributeId enum values in ODBC SPI (#48676)

### Rationale for this change

https://github.com/apache/arrow/commit/ed36107ad8#diff-cbd67e664d899cd38324e1b1a05b073722bd9c011a3449127c408efcf2f1592eR42-R52

There is a todo in https://github.com/apache/arrow/commit/ed36107ad8 which I presume that the author just forgot to do it.

### What changes are included in this PR?

This PR simply moves the comments to the docs to the attributes per Doxygen.

### Are these changes tested?

No, I did not test.

### Are there any user-facing changes?

No, I believe this is an internal API.

* GitHub Issue: #48675

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: David Li <li.davidm96@gmail.com>
1 file changed
tree: 5ff236910b38301477f007701aeea6f699ab01fa
  1. .github/
  2. c_glib/
  3. ci/
  4. cpp/
  5. dev/
  6. docs/
  7. format/
  8. matlab/
  9. python/
  10. r/
  11. ruby/
  12. .asf.yaml
  13. .clang-format
  14. .clang-tidy
  15. .clang-tidy-ignore
  16. .dockerignore
  17. .editorconfig
  18. .env
  19. .gitattributes
  20. .gitignore
  21. .gitmodules
  22. .hadolint.yaml
  23. .pre-commit-config.yaml
  24. .rubocop.yml
  25. .shellcheckrc
  26. CHANGELOG.md
  27. cmake-format.py
  28. CODE_OF_CONDUCT.md
  29. compose.yaml
  30. CONTRIBUTING.md
  31. CPPLINT.cfg
  32. LICENSE.txt
  33. NOTICE.txt
  34. 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: