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apache / arrow / 99ac74e6890767e1a3cf96d7aff0b96b9503153c
commit99ac74e6890767e1a3cf96d7aff0b96b9503153c[log] [tgz]
authormwish <maplewish117@gmail.com>Mon May 01 22:56:14 2023 +0800
committerGitHub <noreply@github.com>Mon May 01 07:56:14 2023 -0700
treee780990cc627ff0b8caa81052536e14749f67772
parentda6dbd48607089d716505054176e345b704570c5 [diff]
GH-35171: [C++][Parquet] Implement CRC for data page v2 (#35242)



### Rationale for this change

Implement crc for data page v2.

### What changes are included in this PR?

1. When writing, able to write crc for data page v2
2. When reading, able to read crc for data page v2
3. Testing

### Are these changes tested?

Yes, but parquet-testing don't have crc page v2 test. So no integration test

### Are there any user-facing changes?

* Closes: #35171

Authored-by: mwish <maplewish117@gmail.com>
Signed-off-by: Will Jones <willjones127@gmail.com>
7 files changed
tree: e780990cc627ff0b8caa81052536e14749f67772
  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. swift/
  17. testing
  18. .asf.yaml
  19. .clang-format
  20. .clang-tidy
  21. .clang-tidy-ignore
  22. .dir-locals.el
  23. .dockerignore
  24. .env
  25. .gitattributes
  26. .gitignore
  27. .gitmodules
  28. .hadolint.yaml
  29. .pre-commit-config.yaml
  30. .readthedocs.yml
  31. .travis.yml
  32. appveyor.yml
  33. CHANGELOG.md
  34. cmake-format.py
  35. CODE_OF_CONDUCT.md
  36. CONTRIBUTING.md
  37. docker-compose.yml
  38. header
  39. LICENSE.txt
  40. NOTICE.txt
  41. 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: