blob: 561ef1dc15e7de7516dfdc92ed12d01baabb926b [file]
// 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.
use crate::{ReturnFieldArgs, ScalarFunctionArgs, ScalarUDF, ScalarUDFImpl};
use arrow::datatypes::{DataType, FieldRef};
use async_trait::async_trait;
use datafusion_common::error::Result;
use datafusion_common::internal_err;
use datafusion_expr_common::columnar_value::ColumnarValue;
use datafusion_expr_common::signature::Signature;
use std::any::Any;
use std::fmt::{Debug, Display};
use std::hash::{Hash, Hasher};
use std::sync::Arc;
/// A scalar UDF that can invoke using async methods
///
/// Note this is less efficient than the ScalarUDFImpl, but it can be used
/// to register remote functions in the context.
///
/// The name is chosen to mirror ScalarUDFImpl
#[async_trait]
pub trait AsyncScalarUDFImpl: ScalarUDFImpl {
/// The ideal batch size for this function.
///
/// This is used to determine what size of data to be evaluated at once.
/// If None, the whole batch will be evaluated at once.
fn ideal_batch_size(&self) -> Option<usize> {
None
}
/// Invoke the function asynchronously with the async arguments
async fn invoke_async_with_args(
&self,
args: ScalarFunctionArgs,
) -> Result<ColumnarValue>;
}
/// A scalar UDF that must be invoked using async methods
///
/// Note this is not meant to be used directly, but is meant to be an implementation detail
/// for AsyncUDFImpl.
#[derive(Debug)]
pub struct AsyncScalarUDF {
inner: Arc<dyn AsyncScalarUDFImpl>,
}
impl PartialEq for AsyncScalarUDF {
fn eq(&self, other: &Self) -> bool {
// Deconstruct to catch any new fields added in future
let Self { inner } = self;
inner.dyn_eq(other.inner.as_any())
}
}
impl Eq for AsyncScalarUDF {}
impl Hash for AsyncScalarUDF {
fn hash<H: Hasher>(&self, state: &mut H) {
// Deconstruct to catch any new fields added in future
let Self { inner } = self;
inner.dyn_hash(state);
}
}
impl AsyncScalarUDF {
pub fn new(inner: Arc<dyn AsyncScalarUDFImpl>) -> Self {
Self { inner }
}
/// The ideal batch size for this function
pub fn ideal_batch_size(&self) -> Option<usize> {
self.inner.ideal_batch_size()
}
/// Turn this AsyncUDF into a ScalarUDF, suitable for
/// registering in the context
pub fn into_scalar_udf(self) -> ScalarUDF {
ScalarUDF::new_from_impl(self)
}
/// Invoke the function asynchronously with the async arguments
pub async fn invoke_async_with_args(
&self,
args: ScalarFunctionArgs,
) -> Result<ColumnarValue> {
self.inner.invoke_async_with_args(args).await
}
}
impl ScalarUDFImpl for AsyncScalarUDF {
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 return_field_from_args(&self, args: ReturnFieldArgs) -> Result<FieldRef> {
self.inner.return_field_from_args(args)
}
fn invoke_with_args(&self, _args: ScalarFunctionArgs) -> Result<ColumnarValue> {
internal_err!("async functions should not be called directly")
}
}
impl Display for AsyncScalarUDF {
fn fmt(&self, f: &mut std::fmt::Formatter) -> std::fmt::Result {
write!(f, "AsyncScalarUDF: {}", self.inner.name())
}
}
#[cfg(test)]
mod tests {
use std::{
hash::{DefaultHasher, Hash, Hasher},
sync::Arc,
};
use arrow::datatypes::DataType;
use async_trait::async_trait;
use datafusion_common::error::Result;
use datafusion_expr_common::{columnar_value::ColumnarValue, signature::Signature};
use crate::{
async_udf::{AsyncScalarUDF, AsyncScalarUDFImpl},
ScalarFunctionArgs, ScalarUDFImpl,
};
#[derive(Debug, PartialEq, Eq, Hash, Clone)]
struct TestAsyncUDFImpl1 {
a: i32,
}
impl ScalarUDFImpl for TestAsyncUDFImpl1 {
fn as_any(&self) -> &dyn std::any::Any {
self
}
fn name(&self) -> &str {
todo!()
}
fn signature(&self) -> &Signature {
todo!()
}
fn return_type(&self, _arg_types: &[DataType]) -> Result<DataType> {
todo!()
}
fn invoke_with_args(&self, _args: ScalarFunctionArgs) -> Result<ColumnarValue> {
todo!()
}
}
#[async_trait]
impl AsyncScalarUDFImpl for TestAsyncUDFImpl1 {
async fn invoke_async_with_args(
&self,
_args: ScalarFunctionArgs,
) -> Result<ColumnarValue> {
todo!()
}
}
#[derive(Debug, PartialEq, Eq, Hash, Clone)]
struct TestAsyncUDFImpl2 {
a: i32,
}
impl ScalarUDFImpl for TestAsyncUDFImpl2 {
fn as_any(&self) -> &dyn std::any::Any {
self
}
fn name(&self) -> &str {
todo!()
}
fn signature(&self) -> &Signature {
todo!()
}
fn return_type(&self, _arg_types: &[DataType]) -> Result<DataType> {
todo!()
}
fn invoke_with_args(&self, _args: ScalarFunctionArgs) -> Result<ColumnarValue> {
todo!()
}
}
#[async_trait]
impl AsyncScalarUDFImpl for TestAsyncUDFImpl2 {
async fn invoke_async_with_args(
&self,
_args: ScalarFunctionArgs,
) -> Result<ColumnarValue> {
todo!()
}
}
fn hash<T: Hash>(value: &T) -> u64 {
let hasher = &mut DefaultHasher::new();
value.hash(hasher);
hasher.finish()
}
#[test]
fn test_async_udf_partial_eq_and_hash() {
// Inner is same cloned arc -> equal
let inner = Arc::new(TestAsyncUDFImpl1 { a: 1 });
let a = AsyncScalarUDF::new(Arc::clone(&inner) as Arc<dyn AsyncScalarUDFImpl>);
let b = AsyncScalarUDF::new(inner);
assert_eq!(a, b);
assert_eq!(hash(&a), hash(&b));
// Inner is distinct arc -> still equal
let a = AsyncScalarUDF::new(Arc::new(TestAsyncUDFImpl1 { a: 1 }));
let b = AsyncScalarUDF::new(Arc::new(TestAsyncUDFImpl1 { a: 1 }));
assert_eq!(a, b);
assert_eq!(hash(&a), hash(&b));
// Negative case: inner is different value -> not equal
let a = AsyncScalarUDF::new(Arc::new(TestAsyncUDFImpl1 { a: 1 }));
let b = AsyncScalarUDF::new(Arc::new(TestAsyncUDFImpl1 { a: 2 }));
assert_ne!(a, b);
assert_ne!(hash(&a), hash(&b));
// Negative case: different functions -> not equal
let a = AsyncScalarUDF::new(Arc::new(TestAsyncUDFImpl1 { a: 1 }));
let b = AsyncScalarUDF::new(Arc::new(TestAsyncUDFImpl2 { a: 1 }));
assert_ne!(a, b);
assert_ne!(hash(&a), hash(&b));
}
}