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apache / arrow / a49493d96bc3021af1a126ce33f859bfb7a2ec80
commita49493d96bc3021af1a126ce33f859bfb7a2ec80[log] [tgz]
authorDavid Li <li.davidm96@gmail.com>Tue Aug 27 11:44:19 2024 +0900
committerGitHub <noreply@github.com>Tue Aug 27 11:44:19 2024 +0900
tree0b94f34c68aeccfbf7a273fcebe850349d149e85
parent11f92491b1d2ecf700e6e023a1e413ec4c4345ae [diff]
MINOR: [Java] Downgrade gRPC to 1.65 (#43839)

### Rationale for this change
Newer versions don't run in all CI pipelines due to protoc using a newer glibc.

### What changes are included in this PR?

This reverts commit 4af1e491df7ac22217656668b65c3e8d55f5b5ab.

### Are these changes tested?

N/A

### Are there any user-facing changes?

No

Authored-by: David Li <li.davidm96@gmail.com>
Signed-off-by: David Li <li.davidm96@gmail.com>
1 file changed
tree: 0b94f34c68aeccfbf7a273fcebe850349d149e85
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  6. dev/
  7. docs/
  8. format/
  9. go/
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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: