Apache DataFusion

Apache 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