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apache / datafusion / refs/heads/Jimexist-patch-1
commitd8ce32ee1d7274460c3a0e3866d5816272bb24f5[log] [tgz]
authorJiayu Liu <Jimexist@users.noreply.github.com>Sat Sep 16 22:40:10 2023 +0800
committerGitHub <noreply@github.com>Sat Sep 16 22:40:10 2023 +0800
treee30d1db9af3fe315a660210c097276d8fdfcfc68
parent93f78b28acacd4a275906815efa662add61d56de [diff]
Create codeql.yml
1 file changed
tree: e30d1db9af3fe315a660210c097276d8fdfcfc68
  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

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.

Here are links to some important information

Building your project with DataFusion

DataFusion is great for building projects and products like SQL interfaces, time series platforms, and domain specific query engines. Click Here to see a list known users.

Contributing to DataFusion

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