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Apache DataFusion

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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:

Optional features:

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