Google Git
Sign in
apache / arrow / 5d7987b94a4389e098461ae013522a64eb2fe6fe
commit5d7987b94a4389e098461ae013522a64eb2fe6fe[log] [tgz]
authorSutou Kouhei <kou@clear-code.com>Wed Oct 16 18:03:45 2024 +0900
committerRaúl Cumplido <raulcumplido@gmail.com>Wed Oct 16 11:08:47 2024 +0200
tree037aadb6d23cc2abe947ca8ca65d899e758ea3a7
parent70a2245b6046f95d8d87397d82074bdfd94cbb99 [diff]
GH-44422: [Packaging][Release][Linux] Upload artifacts before test (#44425)

### Rationale for this change

It seems that the current `quay.io/centos/centos:stream9` for `linux/aarch64` is broken.

We use it for building and testing but testing is only broken for now. Because we use cached (a bit old) `quay.io/centos/centos:stream9` for now. Building will be failed when the cache is expired.

### What changes are included in this PR?

Change upload phase to after the build from after the test. Test is still failing but we can proceed our release process by this.

### Are these changes tested?

Yes.

### Are there any user-facing changes?

No.
* GitHub Issue: #44422

Authored-by: Sutou Kouhei <kou@clear-code.com>
Signed-off-by: Raúl Cumplido <raulcumplido@gmail.com>
1 file changed
tree: 037aadb6d23cc2abe947ca8ca65d899e758ea3a7
  1. .github/
  2. c_glib/
  3. ci/
  4. cpp/
  5. csharp/
  6. dev/
  7. docs/
  8. format/
  9. java/
  10. js/
  11. matlab/
  12. python/
  13. r/
  14. ruby/
  15. swift/
  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. appveyor.yml
  31. CHANGELOG.md
  32. cmake-format.py
  33. CODE_OF_CONDUCT.md
  34. CONTRIBUTING.md
  35. CPPLINT.cfg
  36. docker-compose.yml
  37. header
  38. LICENSE.txt
  39. NOTICE.txt
  40. 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 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: