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<img src="./docs/source/_static/images/2x_bgwhite_original.png" width="512" alt="logo"/>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
- Project Site
- Installation
- Rust Getting Started
- Rust DataFrame API
- Rust API docs
- Rust Examples
- Python DataFrame API
- Architecture
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:
nested_expressions
: functions for working with nested type function such asarray_to_string
compression
: reading files compressed withxz2
,bzip2
,flate2
, andzstd
crypto_expressions
: cryptographic functions such asmd5
andsha256
datetime_expressions
: date and time functions such asto_timestamp
encoding_expressions
:encode
anddecode
functionsparquet
: support for reading the Apache Parquet formatregex_expressions
: regular expression functions, such asregexp_match
unicode_expressions
: Include unicode aware functions such ascharacter_length
unparser
: enables support to reverse LogicalPlans back into SQL
Optional features:
avro
: support for reading the Apache Avro formatbacktrace
: include backtrace information in error messagespyarrow
: conversions between PyArrow and DataFusion typesserde
: enable arrow-schema'sserde
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