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apache / datafusion / refs/tags/27.0.0
commit4ab8be57dee3bfa72dd105fbd7b8901b873a4878[log] [tgz]
authorAndy Grove <andygrove73@gmail.com>Mon Jun 26 15:48:36 2023 -0600
committerAndy Grove <andygrove73@gmail.com>Mon Jun 26 15:48:36 2023 -0600
treefc0de2dd1926d46b7edcebf098cb4b04e14756e0
parent9674c77253e8d9f64f78c24aadb50b76ed60a559 [diff]
changelog
1 file changed
tree: fc0de2dd1926d46b7edcebf098cb4b04e14756e0
  1. .github/
  2. benchmarks/
  3. ci/
  4. conbench/
  5. datafusion/
  6. datafusion-cli/
  7. datafusion-examples/
  8. dev/
  9. docs/
  10. python/
  11. test-utils/
  12. parquet-testing
  13. testing
  14. .asf.yaml
  15. .dockerignore
  16. .editorconfig
  17. .gitattributes
  18. .github_changelog_generator
  19. .gitignore
  20. .gitmodules
  21. .pre-commit-config.yaml
  22. Cargo.toml
  23. CHANGELOG.md
  24. CODE_OF_CONDUCT.md
  25. CONTRIBUTING.md
  26. header
  27. LICENSE.txt
  28. NOTICE.txt
  29. pre-commit.sh
  30. README.md
  31. rustfmt.toml
README.md

DataFusion

Coverage Status

DataFusion is a very fast, extensible query engine for building high-quality data-centric systems in Rust, using the Apache Arrow in-memory format. Python Bindings are also available.

DataFusion offers SQL and Dataframe APIs, excellent performance, built-in support for CSV, Parquet, JSON, and Avro, extensive customization, and a great community.

https://arrow.apache.org/datafusion/ contains the project's documentation.

Using DataFusion

The example usage section in the user guide and the datafusion-examples code in the crate contain information on using DataFusion.

Contributing to DataFusion

The developer’s guide contains information on how to contribute.