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apache / arrow / refs/heads/main
commit7820f672edbbd516661740db9c355f2bc42bf602[log] [tgz]
authorGang Wu <ustcwg@gmail.com>Thu Jan 15 17:43:53 2026 +0800
committerGitHub <noreply@github.com>Thu Jan 15 17:43:53 2026 +0800
tree68bed75afbc86dc376ef99012577af617b6fc015
parentfb0bac6fddd1ff5cd7748daeede4d3c774789967 [diff]
GH-34785: [Doc][Parquet] Update doc for bloom filter support (#48860)

### Rationale for this change

Writing support for Parquet bloom filter has been added so the doc is out of date.

### What changes are included in this PR?

Update the doc to reflect the status that bloom filter is fully supported but not integrated with data read api.

### Are these changes tested?

N/A

### Are there any user-facing changes?

No
* GitHub Issue: #34785

Authored-by: Gang Wu <ustcwg@gmail.com>
Signed-off-by: Gang Wu <ustcwg@gmail.com>
1 file changed
tree: 68bed75afbc86dc376ef99012577af617b6fc015
  1. .github/
  2. c_glib/
  3. ci/
  4. cpp/
  5. dev/
  6. docs/
  7. format/
  8. matlab/
  9. python/
  10. r/
  11. ruby/
  12. testing
  13. .asf.yaml
  14. .clang-format
  15. .clang-tidy
  16. .clang-tidy-ignore
  17. .dockerignore
  18. .editorconfig
  19. .env
  20. .gitattributes
  21. .gitignore
  22. .gitmodules
  23. .hadolint.yaml
  24. .pre-commit-config.yaml
  25. .rubocop.yml
  26. .shellcheckrc
  27. CHANGELOG.md
  28. cmake-format.py
  29. CODE_OF_CONDUCT.md
  30. compose.yaml
  31. CONTRIBUTING.md
  32. CPPLINT.cfg
  33. LICENSE.txt
  34. NOTICE.txt
  35. README.md
README.md

Apache Arrow

Fuzzing Status License BlueSky 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:

The ↗ icon denotes that this component of the project is maintained in a separate repository.

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: