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apache/arrow/b14a5378ad7b5cbcad637d2839298dbf4711e29c
commit
b14a5378ad7b5cbcad637d2839298dbf4711e29c
[log]
author
Srinivas Lade <srinulade1@gmail.com>
Thu Sep 11 08:48:06 2025 -0700
committer
GitHub <noreply@github.com>
Thu Sep 11 08:48:06 2025 -0700
tree
b44c1a90ab49a240cf369fa801ac9f03153050ab
parent
37faf3e79512c2c036b004d80770bb522af035f1 [diff]
GH-43694: [C++] Add `Executor *` Option to `arrow::dataset::ScanOptions` (#43698)

### Rationale for this change

(See https://github.com/apache/arrow/issues/43694)

### What changes are included in this PR?

Added the option `Executor *executor` to `arrow::dataset::ScanOptions` and modified the scanner and sub-functions to either use the internally specified thread pool or the default internal pool when necessary.

### Are these changes tested?

Added a Parquet scanner test that uses the new ExecContext using a separate thread pool for each fragment.

### Are there any user-facing changes?

Yes, adds a new option. I'm not sure how to update the documentation though
* GitHub Issue: #43694

Lead-authored-by: Scott Routledge <scott@bodo.ai>
Co-authored-by: Srinivas Lade <srinulade1@gmail.com>
Co-authored-by: scott-routledge2 <scott@bodo.ai>
Co-authored-by: Raúl Cumplido <raulcumplido@gmail.com>
Signed-off-by: Rossi Sun <zanmato1984@gmail.com>
5 files changed
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  29. CHANGELOG.md
  30. cmake-format.py
  31. CODE_OF_CONDUCT.md
  32. CONTRIBUTING.md
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  34. docker-compose.yml
  35. LICENSE.txt
  36. NOTICE.txt
  37. 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: