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apache / datafusion / refs/tags/37.0.0
commit1fa25ae5d50c5f34f17e77e9f635f854ef5e7642[log] [tgz]
authorwiedld <wiedld@users.noreply.github.com>Sun Mar 31 05:09:06 2024 -0700
committerAndy Grove <andygrove73@gmail.com>Sun Mar 31 13:52:41 2024 -0600
tree37bae0618c1aaf6304f5f5b1766b7bf5848d78e4
parent799be5e76bd631608b2357dbbe600afc2cebc359 [diff]
fix(9870): common expression elimination optimization, should always re-find the correct expression during re-write. (#9871)

* test(9870): reproducer of error with jumping traversal patterns in common-expr-elimination traversals

* refactor: remove the IdArray ordered idx, since the idx ordering does not always stay in sync with the updated TreeNode traversal

* refactor: use the only reproducible key (expr_identifer) for expr_set, while keeping the (stack-popped) symbol used for alias.

* refactor: encapsulate most of the logic within ExprSet, and delineate the expr_identifier from the alias symbol

* test(9870): demonstrate that the sqllogictests are now passing
3 files changed
tree: 37bae0618c1aaf6304f5f5b1766b7bf5848d78e4
  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. clippy.toml
  25. CODE_OF_CONDUCT.md
  26. CONTRIBUTING.md
  27. header
  28. LICENSE.txt
  29. NOTICE.txt
  30. pre-commit.sh
  31. README.md
  32. rustfmt.toml
  33. taplo.toml
README.md

DataFusion

Crates.io Apache licensed Build Status Discord chat

Website | Guides | API Docs | Chat

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

What can you do with this crate?

DataFusion is great for building projects such as domain specific query engines, new database platforms and data pipelines, query languages and more. It lets you start quickly from a fully working engine, and then customize those features specific to your use. Click Here to see a list known users.

Contributing to DataFusion

Please see the contributor guide and communication pages for more information.

Crate features

This crate has several features which can be specified in your Cargo.toml.

Default features:

  • array_expressions: functions for working with arrays such as array_to_string
  • compression: reading files compressed with xz2, bzip2, flate2, and zstd
  • crypto_expressions: cryptographic functions such as md5 and sha256
  • datetime_expressions: date and time functions such as to_timestamp
  • encoding_expressions: encode and decode functions
  • parquet: support for reading the Apache Parquet format
  • regex_expressions: regular expression functions, such as regexp_match
  • unicode_expressions: Include unicode aware functions such as character_length
  • unparser : enables support to reverse LogicalPlans back into SQL

Optional features:

  • avro: support for reading the Apache Avro format
  • backtrace: include backtrace information in error messages
  • pyarrow: conversions between PyArrow and DataFusion types
  • serde: enable arrow-schema's serde feature

Rust Version Compatibility Policy

DataFusion's Minimum Required Stable Rust Version (MSRV) policy is to support each stable Rust version for 6 months after it is released. This generally translates to support for the most recent 3 to 4 stable Rust versions.

We enforce this policy using a MSRV CI Check