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// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing,
// software distributed under the License is distributed on an
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, either express or implied. See the License for the
// specific language governing permissions and limitations
// under the License.
//! [`WindowUDF`]: User Defined Window Functions
use arrow::compute::SortOptions;
use arrow::datatypes::DataType;
use std::cmp::Ordering;
use std::hash::{DefaultHasher, Hash, Hasher};
use std::{
any::Any,
fmt::{self, Debug, Display, Formatter},
sync::Arc,
};
use datafusion_common::{not_impl_err, Result};
use crate::expr::WindowFunction;
use crate::{
function::WindowFunctionSimplification, Expr, PartitionEvaluator,
PartitionEvaluatorFactory, ReturnTypeFunction, Signature,
};
/// Logical representation of a user-defined window function (UDWF)
/// A UDWF is different from a UDF in that it is stateful across batches.
///
/// See the documentation on [`PartitionEvaluator`] for more details
///
/// 1. For simple use cases, use [`create_udwf`] (examples in
/// [`simple_udwf.rs`]).
///
/// 2. For advanced use cases, use [`WindowUDFImpl`] which provides full API
/// access (examples in [`advanced_udwf.rs`]).
///
/// # API Note
/// This is a separate struct from `WindowUDFImpl` to maintain backwards
/// compatibility with the older API.
///
/// [`PartitionEvaluator`]: crate::PartitionEvaluator
/// [`create_udwf`]: crate::expr_fn::create_udwf
/// [`simple_udwf.rs`]: https://github.com/apache/datafusion/blob/main/datafusion-examples/examples/simple_udwf.rs
/// [`advanced_udwf.rs`]: https://github.com/apache/datafusion/blob/main/datafusion-examples/examples/advanced_udwf.rs
#[derive(Debug, Clone, PartialOrd)]
pub struct WindowUDF {
inner: Arc<dyn WindowUDFImpl>,
}
/// Defines how the WindowUDF is shown to users
impl Display for WindowUDF {
fn fmt(&self, f: &mut Formatter) -> fmt::Result {
write!(f, "{}", self.name())
}
}
impl PartialEq for WindowUDF {
fn eq(&self, other: &Self) -> bool {
self.inner.equals(other.inner.as_ref())
}
}
impl Eq for WindowUDF {}
impl Hash for WindowUDF {
fn hash<H: Hasher>(&self, state: &mut H) {
self.inner.hash_value().hash(state)
}
}
impl WindowUDF {
/// Create a new WindowUDF from low level details.
///
/// See [`WindowUDFImpl`] for a more convenient way to create a
/// `WindowUDF` using trait objects
#[deprecated(since = "34.0.0", note = "please implement WindowUDFImpl instead")]
pub fn new(
name: &str,
signature: &Signature,
return_type: &ReturnTypeFunction,
partition_evaluator_factory: &PartitionEvaluatorFactory,
) -> Self {
Self::new_from_impl(WindowUDFLegacyWrapper {
name: name.to_owned(),
signature: signature.clone(),
return_type: Arc::clone(return_type),
partition_evaluator_factory: Arc::clone(partition_evaluator_factory),
})
}
/// Create a new `WindowUDF` from a `[WindowUDFImpl]` trait object
///
/// Note this is the same as using the `From` impl (`WindowUDF::from`)
pub fn new_from_impl<F>(fun: F) -> WindowUDF
where
F: WindowUDFImpl + 'static,
{
Self {
inner: Arc::new(fun),
}
}
/// Return the underlying [`WindowUDFImpl`] trait object for this function
pub fn inner(&self) -> &Arc<dyn WindowUDFImpl> {
&self.inner
}
/// Adds additional names that can be used to invoke this function, in
/// addition to `name`
///
/// If you implement [`WindowUDFImpl`] directly you should return aliases directly.
pub fn with_aliases(self, aliases: impl IntoIterator<Item = &'static str>) -> Self {
Self::new_from_impl(AliasedWindowUDFImpl::new(Arc::clone(&self.inner), aliases))
}
/// creates a [`Expr`] that calls the window function with default
/// values for `order_by`, `partition_by`, `window_frame`.
///
/// See [`ExprFunctionExt`] for details on setting these values.
///
/// This utility allows using a user defined window function without
/// requiring access to the registry, such as with the DataFrame API.
///
/// [`ExprFunctionExt`]: crate::expr_fn::ExprFunctionExt
pub fn call(&self, args: Vec<Expr>) -> Expr {
let fun = crate::WindowFunctionDefinition::WindowUDF(Arc::new(self.clone()));
Expr::WindowFunction(WindowFunction::new(fun, args))
}
/// Returns this function's name
///
/// See [`WindowUDFImpl::name`] for more details.
pub fn name(&self) -> &str {
self.inner.name()
}
/// Returns the aliases for this function.
pub fn aliases(&self) -> &[String] {
self.inner.aliases()
}
/// Returns this function's signature (what input types are accepted)
///
/// See [`WindowUDFImpl::signature`] for more details.
pub fn signature(&self) -> &Signature {
self.inner.signature()
}
/// Return the type of the function given its input types
///
/// See [`WindowUDFImpl::return_type`] for more details.
pub fn return_type(&self, args: &[DataType]) -> Result<DataType> {
self.inner.return_type(args)
}
/// Do the function rewrite
///
/// See [`WindowUDFImpl::simplify`] for more details.
pub fn simplify(&self) -> Option<WindowFunctionSimplification> {
self.inner.simplify()
}
/// Return a `PartitionEvaluator` for evaluating this window function
pub fn partition_evaluator_factory(&self) -> Result<Box<dyn PartitionEvaluator>> {
self.inner.partition_evaluator()
}
/// Returns if column values are nullable for this window function.
///
/// See [`WindowUDFImpl::nullable`] for more details.
pub fn nullable(&self) -> bool {
self.inner.nullable()
}
/// Returns custom result ordering introduced by this window function
/// which is used to update ordering equivalences.
///
/// See [`WindowUDFImpl::sort_options`] for more details.
pub fn sort_options(&self) -> Option<SortOptions> {
self.inner.sort_options()
}
/// See [`WindowUDFImpl::coerce_types`] for more details.
pub fn coerce_types(&self, arg_types: &[DataType]) -> Result<Vec<DataType>> {
self.inner.coerce_types(arg_types)
}
}
impl<F> From<F> for WindowUDF
where
F: WindowUDFImpl + Send + Sync + 'static,
{
fn from(fun: F) -> Self {
Self::new_from_impl(fun)
}
}
/// Trait for implementing [`WindowUDF`].
///
/// This trait exposes the full API for implementing user defined window functions and
/// can be used to implement any function.
///
/// See [`advanced_udwf.rs`] for a full example with complete implementation and
/// [`WindowUDF`] for other available options.
///
///
/// [`advanced_udwf.rs`]: https://github.com/apache/datafusion/blob/main/datafusion-examples/examples/advanced_udwf.rs
/// # Basic Example
/// ```
/// # use std::any::Any;
/// # use arrow::datatypes::DataType;
/// # use datafusion_common::{DataFusionError, plan_err, Result};
/// # use datafusion_expr::{col, Signature, Volatility, PartitionEvaluator, WindowFrame, ExprFunctionExt};
/// # use datafusion_expr::{WindowUDFImpl, WindowUDF};
/// #[derive(Debug, Clone)]
/// struct SmoothIt {
/// signature: Signature
/// }
///
/// impl SmoothIt {
/// fn new() -> Self {
/// Self {
/// signature: Signature::uniform(1, vec![DataType::Int32], Volatility::Immutable)
/// }
/// }
/// }
///
/// /// Implement the WindowUDFImpl trait for AddOne
/// impl WindowUDFImpl for SmoothIt {
/// fn as_any(&self) -> &dyn Any { self }
/// fn name(&self) -> &str { "smooth_it" }
/// fn signature(&self) -> &Signature { &self.signature }
/// fn return_type(&self, args: &[DataType]) -> Result<DataType> {
/// if !matches!(args.get(0), Some(&DataType::Int32)) {
/// return plan_err!("smooth_it only accepts Int32 arguments");
/// }
/// Ok(DataType::Int32)
/// }
/// // The actual implementation would add one to the argument
/// fn partition_evaluator(&self) -> Result<Box<dyn PartitionEvaluator>> { unimplemented!() }
/// }
///
/// // Create a new WindowUDF from the implementation
/// let smooth_it = WindowUDF::from(SmoothIt::new());
///
/// // Call the function `add_one(col)`
/// // smooth_it(speed) OVER (PARTITION BY car ORDER BY time ASC)
/// let expr = smooth_it.call(vec![col("speed")])
/// .partition_by(vec![col("car")])
/// .order_by(vec![col("time").sort(true, true)])
/// .window_frame(WindowFrame::new(None))
/// .build()
/// .unwrap();
/// ```
pub trait WindowUDFImpl: Debug + Send + Sync {
// Note: When adding any methods (with default implementations), remember to add them also
// into the AliasedWindowUDFImpl below!
/// Returns this object as an [`Any`] trait object
fn as_any(&self) -> &dyn Any;
/// Returns this function's name
fn name(&self) -> &str;
/// Returns the function's [`Signature`] for information about what input
/// types are accepted and the function's Volatility.
fn signature(&self) -> &Signature;
/// What [`DataType`] will be returned by this function, given the types of
/// the arguments
fn return_type(&self, arg_types: &[DataType]) -> Result<DataType>;
/// Invoke the function, returning the [`PartitionEvaluator`] instance
fn partition_evaluator(&self) -> Result<Box<dyn PartitionEvaluator>>;
/// Returns any aliases (alternate names) for this function.
///
/// Note: `aliases` should only include names other than [`Self::name`].
/// Defaults to `[]` (no aliases)
fn aliases(&self) -> &[String] {
&[]
}
/// Optionally apply per-UDWF simplification / rewrite rules.
///
/// This can be used to apply function specific simplification rules during
/// optimization. The default implementation does nothing.
///
/// Note that DataFusion handles simplifying arguments and "constant
/// folding" (replacing a function call with constant arguments such as
/// `my_add(1,2) --> 3` ). Thus, there is no need to implement such
/// optimizations manually for specific UDFs.
///
/// Example:
/// [`simplify_udwf_expression.rs`]: <https://github.com/apache/arrow-datafusion/blob/main/datafusion-examples/examples/simplify_udwf_expression.rs>
///
/// # Returns
/// [None] if simplify is not defined or,
///
/// Or, a closure with two arguments:
/// * 'window_function': [crate::expr::WindowFunction] for which simplified has been invoked
/// * 'info': [crate::simplify::SimplifyInfo]
fn simplify(&self) -> Option<WindowFunctionSimplification> {
None
}
/// Return true if this window UDF is equal to the other.
///
/// Allows customizing the equality of window UDFs.
/// Must be consistent with [`Self::hash_value`] and follow the same rules as [`Eq`]:
///
/// - reflexive: `a.equals(a)`;
/// - symmetric: `a.equals(b)` implies `b.equals(a)`;
/// - transitive: `a.equals(b)` and `b.equals(c)` implies `a.equals(c)`.
///
/// By default, compares [`Self::name`] and [`Self::signature`].
fn equals(&self, other: &dyn WindowUDFImpl) -> bool {
self.name() == other.name() && self.signature() == other.signature()
}
/// Returns a hash value for this window UDF.
///
/// Allows customizing the hash code of window UDFs. Similarly to [`Hash`] and [`Eq`],
/// if [`Self::equals`] returns true for two UDFs, their `hash_value`s must be the same.
///
/// By default, hashes [`Self::name`] and [`Self::signature`].
fn hash_value(&self) -> u64 {
let hasher = &mut DefaultHasher::new();
self.name().hash(hasher);
self.signature().hash(hasher);
hasher.finish()
}
/// Allows customizing nullable of column for this window UDF.
///
/// By default, the final result of evaluating the window UDF is
/// allowed to have null values. But if that is not the case then
/// it can be customized in the window UDF implementation.
fn nullable(&self) -> bool {
true
}
/// Allows the window UDF to define a custom result ordering.
///
/// By default, a window UDF doesn't introduce an ordering.
/// But when specified by a window UDF this is used to update
/// ordering equivalences.
fn sort_options(&self) -> Option<SortOptions> {
None
}
/// Coerce arguments of a function call to types that the function can evaluate.
///
/// This function is only called if [`WindowUDFImpl::signature`] returns [`crate::TypeSignature::UserDefined`]. Most
/// UDWFs should return one of the other variants of `TypeSignature` which handle common
/// cases
///
/// See the [type coercion module](crate::type_coercion)
/// documentation for more details on type coercion
///
/// For example, if your function requires a floating point arguments, but the user calls
/// it like `my_func(1::int)` (aka with `1` as an integer), coerce_types could return `[DataType::Float64]`
/// to ensure the argument was cast to `1::double`
///
/// # Parameters
/// * `arg_types`: The argument types of the arguments this function with
///
/// # Return value
/// A Vec the same length as `arg_types`. DataFusion will `CAST` the function call
/// arguments to these specific types.
fn coerce_types(&self, _arg_types: &[DataType]) -> Result<Vec<DataType>> {
not_impl_err!("Function {} does not implement coerce_types", self.name())
}
}
impl PartialEq for dyn WindowUDFImpl {
fn eq(&self, other: &Self) -> bool {
self.equals(other)
}
}
impl PartialOrd for dyn WindowUDFImpl {
fn partial_cmp(&self, other: &Self) -> Option<Ordering> {
match self.name().partial_cmp(other.name()) {
Some(Ordering::Equal) => self.signature().partial_cmp(other.signature()),
cmp => cmp,
}
}
}
/// WindowUDF that adds an alias to the underlying function. It is better to
/// implement [`WindowUDFImpl`], which supports aliases, directly if possible.
#[derive(Debug)]
struct AliasedWindowUDFImpl {
inner: Arc<dyn WindowUDFImpl>,
aliases: Vec<String>,
}
impl AliasedWindowUDFImpl {
pub fn new(
inner: Arc<dyn WindowUDFImpl>,
new_aliases: impl IntoIterator<Item = &'static str>,
) -> Self {
let mut aliases = inner.aliases().to_vec();
aliases.extend(new_aliases.into_iter().map(|s| s.to_string()));
Self { inner, aliases }
}
}
impl WindowUDFImpl for AliasedWindowUDFImpl {
fn as_any(&self) -> &dyn Any {
self
}
fn name(&self) -> &str {
self.inner.name()
}
fn signature(&self) -> &Signature {
self.inner.signature()
}
fn return_type(&self, arg_types: &[DataType]) -> Result<DataType> {
self.inner.return_type(arg_types)
}
fn partition_evaluator(&self) -> Result<Box<dyn PartitionEvaluator>> {
self.inner.partition_evaluator()
}
fn aliases(&self) -> &[String] {
&self.aliases
}
fn simplify(&self) -> Option<WindowFunctionSimplification> {
self.inner.simplify()
}
fn equals(&self, other: &dyn WindowUDFImpl) -> bool {
if let Some(other) = other.as_any().downcast_ref::<AliasedWindowUDFImpl>() {
self.inner.equals(other.inner.as_ref()) && self.aliases == other.aliases
} else {
false
}
}
fn hash_value(&self) -> u64 {
let hasher = &mut DefaultHasher::new();
self.inner.hash_value().hash(hasher);
self.aliases.hash(hasher);
hasher.finish()
}
fn nullable(&self) -> bool {
self.inner.nullable()
}
fn sort_options(&self) -> Option<SortOptions> {
self.inner.sort_options()
}
fn coerce_types(&self, arg_types: &[DataType]) -> Result<Vec<DataType>> {
self.inner.coerce_types(arg_types)
}
}
/// Implementation of [`WindowUDFImpl`] that wraps the function style pointers
/// of the older API (see <https://github.com/apache/datafusion/pull/8719>
/// for more details)
pub struct WindowUDFLegacyWrapper {
/// name
name: String,
/// signature
signature: Signature,
/// Return type
return_type: ReturnTypeFunction,
/// Return the partition evaluator
partition_evaluator_factory: PartitionEvaluatorFactory,
}
impl Debug for WindowUDFLegacyWrapper {
fn fmt(&self, f: &mut Formatter) -> fmt::Result {
f.debug_struct("WindowUDF")
.field("name", &self.name)
.field("signature", &self.signature)
.field("return_type", &"<func>")
.field("partition_evaluator_factory", &"<func>")
.finish_non_exhaustive()
}
}
impl WindowUDFImpl for WindowUDFLegacyWrapper {
fn as_any(&self) -> &dyn Any {
self
}
fn name(&self) -> &str {
&self.name
}
fn signature(&self) -> &Signature {
&self.signature
}
fn return_type(&self, arg_types: &[DataType]) -> Result<DataType> {
// Old API returns an Arc of the datatype for some reason
let res = (self.return_type)(arg_types)?;
Ok(res.as_ref().clone())
}
fn partition_evaluator(&self) -> Result<Box<dyn PartitionEvaluator>> {
(self.partition_evaluator_factory)()
}
}
#[cfg(test)]
mod test {
use crate::{PartitionEvaluator, WindowUDF, WindowUDFImpl};
use arrow::datatypes::DataType;
use datafusion_common::Result;
use datafusion_expr_common::signature::{Signature, Volatility};
use std::any::Any;
use std::cmp::Ordering;
#[derive(Debug, Clone)]
struct AWindowUDF {
signature: Signature,
}
impl AWindowUDF {
fn new() -> Self {
Self {
signature: Signature::uniform(
1,
vec![DataType::Int32],
Volatility::Immutable,
),
}
}
}
/// Implement the WindowUDFImpl trait for AddOne
impl WindowUDFImpl for AWindowUDF {
fn as_any(&self) -> &dyn Any {
self
}
fn name(&self) -> &str {
"a"
}
fn signature(&self) -> &Signature {
&self.signature
}
fn return_type(&self, _args: &[DataType]) -> Result<DataType> {
unimplemented!()
}
fn partition_evaluator(&self) -> Result<Box<dyn PartitionEvaluator>> {
unimplemented!()
}
}
#[derive(Debug, Clone)]
struct BWindowUDF {
signature: Signature,
}
impl BWindowUDF {
fn new() -> Self {
Self {
signature: Signature::uniform(
1,
vec![DataType::Int32],
Volatility::Immutable,
),
}
}
}
/// Implement the WindowUDFImpl trait for AddOne
impl WindowUDFImpl for BWindowUDF {
fn as_any(&self) -> &dyn Any {
self
}
fn name(&self) -> &str {
"b"
}
fn signature(&self) -> &Signature {
&self.signature
}
fn return_type(&self, _args: &[DataType]) -> Result<DataType> {
unimplemented!()
}
fn partition_evaluator(&self) -> Result<Box<dyn PartitionEvaluator>> {
unimplemented!()
}
}
#[test]
fn test_partial_ord() {
let a1 = WindowUDF::from(AWindowUDF::new());
let a2 = WindowUDF::from(AWindowUDF::new());
assert_eq!(a1.partial_cmp(&a2), Some(Ordering::Equal));
let b1 = WindowUDF::from(BWindowUDF::new());
assert!(a1 < b1);
assert!(!(a1 == b1));
}
}