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apache/arrow/c7e31227d086a13a0864c239140222de63459e2b
commit
c7e31227d086a13a0864c239140222de63459e2b
[log]
author
Curt Hagenlocher <curt@hagenlocher.org>
Mon Dec 02 17:16:44 2024 -0800
committer
GitHub <noreply@github.com>
Mon Dec 02 17:16:44 2024 -0800
tree
a3b18fb3c6852413e3ea53dfad71f1a48e623582
parent
5e476b3d36591dac7ce24067167bb5efa24fd63d [diff]
GH-44911: [C#] Choose port numbers dynamically for ArrowStreamWriterTests (#44912)

### What changes are included in this PR?

`ArrowStreamWriterTests.CanWriteToNetworkStream` and `ArrowStreamWriterTests.CanWriteToNetworkStreamAsync` pick ports dynamically instead of hardcoding a static port.

### Are these changes tested?

Yes.

### Are there any user-facing changes?

No.

Resolves #44911.
* GitHub Issue: #44911

Authored-by: Curt Hagenlocher <curt@hagenlocher.org>
Signed-off-by: Curt Hagenlocher <curt@hagenlocher.org>
1 file changed
tree: a3b18fb3c6852413e3ea53dfad71f1a48e623582
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  6. dev/
  7. docs/
  8. format/
  9. java/
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  27. .hadolint.yaml
  28. .pre-commit-config.yaml
  29. appveyor.yml
  30. CHANGELOG.md
  31. cmake-format.py
  32. CODE_OF_CONDUCT.md
  33. CONTRIBUTING.md
  34. CPPLINT.cfg
  35. docker-compose.yml
  36. header
  37. LICENSE.txt
  38. NOTICE.txt
  39. 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: