datafusion-spark 52.2.0

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# Apache DataFusion Spark-compatible Expressions

[Apache DataFusion] is an extensible query execution framework, written in Rust, that uses [Apache Arrow] as its in-memory format.

This crate is a submodule of DataFusion that provides [Apache Spark] compatible expressions for use with DataFusion.

[apache arrow]: https://arrow.apache.org/
[apache datafusion]: https://datafusion.apache.org/
[apache spark]: https://spark.apache.org/

## Testing Guide

When testing functions by directly invoking them (e.g., `test_scalar_function!()`), input coercion (from the `signature`
or `coerce_types`) is not applied.

Therefore, direct invocation tests should only be used to verify that the function is correctly implemented.

Please be sure to add additional tests beyond direct invocation.
For more detailed testing guidelines, refer to the [Spark SQLLogicTest README].

## Implementation References

When implementing Spark-compatible functions, you can check if there are existing implementations in
the [Sail] or [Comet] projects first.
If you do port functionality from these sources, make sure to port over the corresponding tests too, to ensure
correctness and compatibility.

[spark sqllogictest readme]: ../sqllogictest/test_files/spark/README.md
[sail]: https://github.com/lakehq/sail
[comet]: https://github.com/apache/datafusion-comet