DataFusion: SQL Query Execution in Rust

DataFusion is a SQL parser, planner, and query execution library for Rust. A DataFrame API is also provided.

The following features are currently supported:

SQL Parser, Planner and Optimizer
DataFrame API
Columnar processing using Apache Arrow
Support for local CSV and Apache Parquet files
Single-threaded execution of SQL queries, supporting:
- Projection
- Selection
- Scalar Functions
- Aggregates (Min, Max, Count)
- Grouping
User-defined Scalar Functions (UDFs)

DataFusion can be used as a crate dependency in your project to add SQL support for custom data sources.

A Docker image is also available if you just want to run SQL queries against your CSV and Parquet files.

I have plans to make DataFusion a fully distributed compute platform with features similar to Apache Spark, but I need help from contributors to get there.

Project Home Page

The project home page is now at https://datafusion.rs and contains the roadmap as well as documentation for using this crate. I am using GitHub issues to track development tasks and feedback.

Prerequisites

Rust nightly (required by parquet-rs crate)

Building DataFusion

See BUILDING.md.

Gitter

There is a Gitter channel where you can ask questions about the project or make feature suggestions too.

Contributing