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apache / arrow / a1eb440c92ae1c8edc93bc9ae646a8e371d756c6
commita1eb440c92ae1c8edc93bc9ae646a8e371d756c6[log] [tgz]
authorGurwinder Singh <vargwin@gmail.com>Fri Jan 24 18:42:31 2020 +0200
committerNeville Dipale <nevilledips@gmail.com>Fri Jan 24 18:42:31 2020 +0200
tree9b368fb3a1b87208eddaa992dc2230c12430e74a
parent464d55742c9b32928c17ab1aafd5077a72525143 [diff]
ARROW-7659: [Rust] Reduce Rc usage

Closes #6263 from 95th/master and squashes the following commits:

4d4707b18 <Gurwinder Singh> use ref instead of Rc bump
0166584b7 <Gurwinder Singh> Replace ColumnChunkMetaDataPtr
9db1f0971 <Gurwinder Singh> Reduce Rc usage in Parquet

Authored-by: Gurwinder Singh <vargwin@gmail.com>
Signed-off-by: Neville Dipale <nevilledips@gmail.com>
5 files changed
tree: 9b368fb3a1b87208eddaa992dc2230c12430e74a
  1. .github/
  2. c_glib/
  3. ci/
  4. cpp/
  5. csharp/
  6. dev/
  7. docs/
  8. format/
  9. go/
  10. integration/
  11. java/
  12. js/
  13. matlab/
  14. python/
  15. r/
  16. ruby/
  17. rust/
  18. testing
  19. .clang-format
  20. .clang-tidy
  21. .clang-tidy-ignore
  22. .dir-locals.el
  23. .dockerignore
  24. .env
  25. .gitattributes
  26. .gitignore
  27. .gitmodules
  28. .hadolint.yaml
  29. .pre-commit-config.yaml
  30. .readthedocs.yml
  31. appveyor.yml
  32. CHANGELOG.md
  33. cmake-format.py
  34. CODE_OF_CONDUCT.md
  35. CONTRIBUTING.md
  36. docker-compose.yml
  37. header
  38. LICENSE.txt
  39. Makefile.docker
  40. NOTICE.txt
  41. README.md
  42. run-cmake-format.py
README.md

Apache Arrow

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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 a number of 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

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: