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apache / arrow / 318d22adda3b66bd4a10fddc7789c8a13e4aa540
commit318d22adda3b66bd4a10fddc7789c8a13e4aa540[log] [tgz]
authorRaúl Cumplido <raulcumplido@gmail.com>Wed May 08 22:05:23 2024 +0200
committerGitHub <noreply@github.com>Wed May 08 16:05:23 2024 -0400
tree6291f6153994b51631ae77f8ff540ac0d220a12a
parent5252c6ce13694fa31dbcb2623d1629cd8fe53a47 [diff]
MINOR: [Dev] Remove Dane from collaborators list (#41589)

### Rationale for this change

Dane is a new committer.

### What changes are included in this PR?

Remove the collaborator list.

### Are these changes tested?

Not required.

### Are there any user-facing changes?

No

Authored-by: Raúl Cumplido <raulcumplido@gmail.com>
Signed-off-by: Dane Pitkin <dane@voltrondata.com>
1 file changed
tree: 6291f6153994b51631ae77f8ff540ac0d220a12a
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  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: