datafusion-execution 31.0.0

Execution configuration support for DataFusion query engine
Documentation 
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# DataFusion

<img src="https://arrow.apache.org/datafusion/_images/DataFusion-Logo-Background-White.png" width="256" alt="logo"/>

DataFusion is a very fast, extensible query engine for building high-quality data-centric systems in
[Rust](http://rustlang.org), using the [Apache Arrow](https://arrow.apache.org)
in-memory format. [Python Bindings](https://github.com/apache/arrow-datafusion-python) are also available. DataFusion offers SQL and Dataframe APIs, excellent [performance](https://benchmark.clickhouse.com/), built-in support for CSV, Parquet, JSON, and Avro, extensive customization, and a great community.

Here are links to some important information

- [Project Site](https://arrow.apache.org/datafusion)
- [Rust Getting Started](https://arrow.apache.org/datafusion/user-guide/example-usage.html)
- [Rust DataFrame API](https://arrow.apache.org/datafusion/user-guide/dataframe.html)
- [Rust API docs](https://docs.rs/datafusion/latest/datafusion)
- [Rust Examples](https://github.com/apache/arrow-datafusion/tree/master/datafusion-examples)
- [Python DataFrame API](https://arrow.apache.org/datafusion-python/)
- [Architecture](https://docs.rs/datafusion/latest/datafusion/index.html#architecture)

## Building your project with DataFusion

DataFusion is great for building projects and products like SQL interfaces, time series platforms, and domain specific query engines. [Click Here](https://arrow.apache.org/datafusion/user-guide/introduction.html#known-users) to see a list known users.

## Contributing to DataFusion

The [developer’s guide] contains information on how to contribute.

[developer’s guide]: https://arrow.apache.org/datafusion/contributor-guide/index.html#developer-s-guide