Derive WindowUDFImpl equality, hash from Eq, Hash traits
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WindowUDFImpl equality, hash from Eq, Hash traits
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Thanks @findepi -- I think the code is looking good here
The only thing I think is missing is some additional documentation in the Upgrading.md guide to explain to people upgrading what they will need to do (add PartialEq and Eq derivation to their functions, right?)
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The dependency PRs have been merged, will rebase |
Use `DynEq` and `DynHash` traits from physical expressions crate to a common crate for physical and logical expressions. This allows them to be used by logical expressions.
Previously, the `WindowUDFImpl` trait contained `equals` and `hash_value` methods with contracts following the `Eq` and `Hash` traits. However, the existence of default implementations of these methods made it error-prone, with many functions (scalar, aggregate, window) missing to customize the equals even though they ought to. There is no fix to this that's not an API breaking change, so a breaking change is warranted. Removing the default implementations would be enough of a solution, but at the cost of a lot of boilerplate needed in implementations. Instead, this removes the methods from the trait, and reuses `DynEq`, `DynHash` traits used previously only for physical expressions. This allows for functions to provide their implementations using no more than `#[derive(PartialEq, Eq, Hash)]` in a typical case.
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Thank you @findepi @xudong963 and @kosiew
Co-authored-by: Andrew Lamb <andrew@nerdnetworks.org>
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All comments addressed. Thank you @alamb @xudong963 @timsaucer @kosiew for your diligent reviews! |
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Previously, the
WindowUDFImpltrait containedequalsandhash_valuemethods with contracts following theEqandHashtraits. However, the existence of default implementations of these
methods made it error-prone, with many functions (scalar, aggregate,
window) missing to customize the equals even though they ought to.
There is no fix to this that's not an API breaking change, so a breaking
change is warranted.
Removing the default implementations would be enough of a solution, but
at the cost of a lot of boilerplate needed in implementations.
Instead, this removes the methods from the trait, and reuses
DynEq,DynHashtraits used previously only for physical expressions. Thisallows for functions to provide their implementations using no more than
#[derive(PartialEq, Eq, Hash)]in a typical case.WindowUDFImpl) #16870WindowUDFImpl::{equals,hash_value}withUdfHash,UdfEqtraits #16873