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apache / arrow / 9ba789d1115494b00e6772a3170c8ba2f1a9a02c
commit9ba789d1115494b00e6772a3170c8ba2f1a9a02c[log] [tgz]
authorCurt Hagenlocher <curt@hagenlocher.org>Sun Sep 15 19:20:59 2024 -0700
committerGitHub <noreply@github.com>Sun Sep 15 19:20:59 2024 -0700
tree9724f45603077602ae2f28b08920c3edb7859310
parenta5d40d0324721f2004fa93a1d12260c7516c4813 [diff]
GH-43267: [C#] Correctly import sliced arrays through the C Data interface (#44117)

### What changes are included in this PR?

Changes to the C Data importer to correctly handle nonzero offsets.

### Are these changes tested?

Yes

### Are there any user-facing changes?

No

Closes #43267 
* GitHub Issue: #43267

Authored-by: Curt Hagenlocher <curt@hagenlocher.org>
Signed-off-by: Curt Hagenlocher <curt@hagenlocher.org>
7 files changed
tree: 9724f45603077602ae2f28b08920c3edb7859310
  1. .github/
  2. c_glib/
  3. ci/
  4. cpp/
  5. csharp/
  6. dev/
  7. docs/
  8. format/
  9. go/
  10. java/
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  12. matlab/
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  14. r/
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  16. swift/
  17. testing
  18. .asf.yaml
  19. .clang-format
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  23. .dockerignore
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  30. .pre-commit-config.yaml
  31. .readthedocs.yml
  32. appveyor.yml
  33. CHANGELOG.md
  34. cmake-format.py
  35. CODE_OF_CONDUCT.md
  36. CONTRIBUTING.md
  37. CPPLINT.cfg
  38. docker-compose.yml
  39. header
  40. LICENSE.txt
  41. NOTICE.txt
  42. 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: