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apache / arrow / refs/heads/main
commitdc581f09f8670ee44e15a801742d574ac93541d1[log] [tgz]
authorSutou Kouhei <kou@clear-code.com>Thu Jan 23 14:35:58 2025 +0900
committerGitHub <noreply@github.com>Thu Jan 23 14:35:58 2025 +0900
treee83bba373a2de84e68c5952f35f9d5b10c13195d
parent12f62653c825fbf305bfde61c112d2aa69203c62 [diff]
GH-45316: [Release][C#] Use GitHub Releases for artifacts (#45317)

### Rationale for this change

We don't need to use Artifactory for NuGet packages because it's not
published to Artifactory.

### What changes are included in this PR?

* Use GitHub Releases for easy to maintain
* Use `.github/workflows/csharp.yml` instead of nightly job for easy to
maintain

### Are these changes tested?

Almost yes.

### Are there any user-facing changes?

No.
* GitHub Issue: #45316
15 files changed
tree: e83bba373a2de84e68c5952f35f9d5b10c13195d
  1. .github/
  2. c_glib/
  3. ci/
  4. cpp/
  5. csharp/
  6. dev/
  7. docs/
  8. format/
  9. js/
  10. matlab/
  11. python/
  12. r/
  13. ruby/
  14. swift/
  15. testing
  16. .asf.yaml
  17. .clang-format
  18. .clang-tidy
  19. .clang-tidy-ignore
  20. .dockerignore
  21. .editorconfig
  22. .env
  23. .gitattributes
  24. .gitignore
  25. .gitmodules
  26. .hadolint.yaml
  27. .pre-commit-config.yaml
  28. appveyor.yml
  29. CHANGELOG.md
  30. cmake-format.py
  31. CODE_OF_CONDUCT.md
  32. CONTRIBUTING.md
  33. CPPLINT.cfg
  34. docker-compose.yml
  35. header
  36. LICENSE.txt
  37. NOTICE.txt
  38. README.md
README.md

Apache Arrow

Fuzzing Status License Twitter 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:

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: