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apache/arrow/5fd30d3dd00baa826d9c24a7c8caf28428c023c9
commit
5fd30d3dd00baa826d9c24a7c8caf28428c023c9
[log]
author
Ed Seidl <etseidl@users.noreply.github.com>
Sun Apr 05 21:15:35 2026 -0700
committer
GitHub <noreply@github.com>
Mon Apr 06 12:15:35 2026 +0800
tree
97d5e2d82387b790792605b0a6ad6e2524b133b6
parent
8eb2ca14530bad4e65853586d95f7b20d1af168e [diff]
GH-49376: [Python][Parquet] Add ability to write Bloom filters from pyarrow (#49377)


Fixes #49376

### Rationale for this change
Adds ability to enable the writing of Parquet Bloom filters via pyarrow.

### What changes are included in this PR?
Adds `bloom_filter_options` to `parquet.write_table`.

### Are these changes tested?
Yes, new tests are added.

### Are there any user-facing changes?
Adds an option (defaults to `None`) to `parquet.write_table`.

* GitHub Issue: #49376

Authored-by: seidl <seidl2@llnl.gov>
Signed-off-by: mwish <maplewish117@gmail.com>
5 files changed
tree: 97d5e2d82387b790792605b0a6ad6e2524b133b6
  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:

Continuous Integration Sponsors

We use runs-on for managing the project self-hosted runners. We use AWS for some of the required infrastructure for the project.