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
- Project Site
- Rust Getting Started
- Rust DataFrame API
- Rust API docs
- Rust Examples
- Python DataFrame API
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
This crate has several features which can be specified in your
compression: reading files compressed with
crypto_expressions: cryptographic functions such as
parquet: support for reading the Apache Parquet format
regex_expressions: regular expression functions, such as
unicode_expressions: Include unicode aware functions such as
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
simd: enable arrow-rs's manual
SIMDkernels (requires Rust
Rust Version Compatibility
This crate is tested with the latest stable version of Rust. We do not currently test against other, older versions of the Rust compiler.