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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.
use std::any::Any;
use std::fmt::{Debug, Display};
use std::hash::{Hash, Hasher};
use std::sync::Arc;
use crate::expressions::column::Column;
use crate::utils::scatter;
use arrow::array::BooleanArray;
use arrow::compute::filter_record_batch;
use arrow::datatypes::{DataType, Schema, SchemaRef};
use arrow::record_batch::RecordBatch;
use datafusion_common::tree_node::{Transformed, TreeNode};
use datafusion_common::{internal_err, not_impl_err, plan_err, Result};
use datafusion_expr::interval_arithmetic::Interval;
use datafusion_expr::sort_properties::ExprProperties;
use datafusion_expr::ColumnarValue;
/// See [create_physical_expr](https://docs.rs/datafusion/latest/datafusion/physical_expr/fn.create_physical_expr.html)
/// for examples of creating `PhysicalExpr` from `Expr`
pub trait PhysicalExpr: Send + Sync + Display + Debug + PartialEq<dyn Any> {
/// Returns the physical expression as [`Any`] so that it can be
/// downcast to a specific implementation.
fn as_any(&self) -> &dyn Any;
/// Get the data type of this expression, given the schema of the input
fn data_type(&self, input_schema: &Schema) -> Result<DataType>;
/// Determine whether this expression is nullable, given the schema of the input
fn nullable(&self, input_schema: &Schema) -> Result<bool>;
/// Evaluate an expression against a RecordBatch
fn evaluate(&self, batch: &RecordBatch) -> Result<ColumnarValue>;
/// Evaluate an expression against a RecordBatch after first applying a
/// validity array
fn evaluate_selection(
&self,
batch: &RecordBatch,
selection: &BooleanArray,
) -> Result<ColumnarValue> {
let tmp_batch = filter_record_batch(batch, selection)?;
let tmp_result = self.evaluate(&tmp_batch)?;
if batch.num_rows() == tmp_batch.num_rows() {
// All values from the `selection` filter are true.
Ok(tmp_result)
} else if let ColumnarValue::Array(a) = tmp_result {
scatter(selection, a.as_ref()).map(ColumnarValue::Array)
} else {
Ok(tmp_result)
}
}
/// Get a list of child PhysicalExpr that provide the input for this expr.
fn children(&self) -> Vec<&Arc<dyn PhysicalExpr>>;
/// Returns a new PhysicalExpr where all children were replaced by new exprs.
fn with_new_children(
self: Arc<Self>,
children: Vec<Arc<dyn PhysicalExpr>>,
) -> Result<Arc<dyn PhysicalExpr>>;
/// Computes the output interval for the expression, given the input
/// intervals.
///
/// # Arguments
///
/// * `children` are the intervals for the children (inputs) of this
/// expression.
///
/// # Example
///
/// If the expression is `a + b`, and the input intervals are `a: [1, 2]`
/// and `b: [3, 4]`, then the output interval would be `[4, 6]`.
fn evaluate_bounds(&self, _children: &[&Interval]) -> Result<Interval> {
not_impl_err!("Not implemented for {self}")
}
/// Updates bounds for child expressions, given a known interval for this
/// expression.
///
/// This is used to propagate constraints down through an expression tree.
///
/// # Arguments
///
/// * `interval` is the currently known interval for this expression.
/// * `children` are the current intervals for the children of this expression.
///
/// # Returns
///
/// A `Vec` of new intervals for the children, in order.
///
/// If constraint propagation reveals an infeasibility for any child, returns
/// [`None`]. If none of the children intervals change as a result of propagation,
/// may return an empty vector instead of cloning `children`. This is the default
/// (and conservative) return value.
///
/// # Example
///
/// If the expression is `a + b`, the current `interval` is `[4, 5]` and the
/// inputs `a` and `b` are respectively given as `[0, 2]` and `[-∞, 4]`, then
/// propagation would return `[0, 2]` and `[2, 4]` as `b` must be at least
/// `2` to make the output at least `4`.
fn propagate_constraints(
&self,
_interval: &Interval,
_children: &[&Interval],
) -> Result<Option<Vec<Interval>>> {
Ok(Some(vec![]))
}
/// Update the hash `state` with this expression requirements from
/// [`Hash`].
///
/// This method is required to support hashing [`PhysicalExpr`]s. To
/// implement it, typically the type implementing
/// [`PhysicalExpr`] implements [`Hash`] and
/// then the following boiler plate is used:
///
/// # Example:
/// ```
/// // User defined expression that derives Hash
/// #[derive(Hash, Debug, PartialEq, Eq)]
/// struct MyExpr {
/// val: u64
/// }
///
/// // impl PhysicalExpr {
/// // ...
/// # impl MyExpr {
/// // Boiler plate to call the derived Hash impl
/// fn dyn_hash(&self, state: &mut dyn std::hash::Hasher) {
/// use std::hash::Hash;
/// let mut s = state;
/// self.hash(&mut s);
/// }
/// // }
/// # }
/// ```
/// Note: [`PhysicalExpr`] is not constrained by [`Hash`]
/// directly because it must remain object safe.
fn dyn_hash(&self, _state: &mut dyn Hasher);
/// Calculates the properties of this [`PhysicalExpr`] based on its
/// children's properties (i.e. order and range), recursively aggregating
/// the information from its children. In cases where the [`PhysicalExpr`]
/// has no children (e.g., `Literal` or `Column`), these properties should
/// be specified externally, as the function defaults to unknown properties.
fn get_properties(&self, _children: &[ExprProperties]) -> Result<ExprProperties> {
Ok(ExprProperties::new_unknown())
}
}
impl Hash for dyn PhysicalExpr {
fn hash<H: Hasher>(&self, state: &mut H) {
self.dyn_hash(state);
}
}
/// Returns a copy of this expr if we change any child according to the pointer comparison.
/// The size of `children` must be equal to the size of `PhysicalExpr::children()`.
pub fn with_new_children_if_necessary(
expr: Arc<dyn PhysicalExpr>,
children: Vec<Arc<dyn PhysicalExpr>>,
) -> Result<Arc<dyn PhysicalExpr>> {
let old_children = expr.children();
if children.len() != old_children.len() {
internal_err!("PhysicalExpr: Wrong number of children")
} else if children.is_empty()
|| children
.iter()
.zip(old_children.iter())
.any(|(c1, c2)| !Arc::ptr_eq(c1, c2))
{
Ok(expr.with_new_children(children)?)
} else {
Ok(expr)
}
}
/// Rewrites an expression according to new schema; i.e. changes the columns it
/// refers to with the column at corresponding index in the new schema. Returns
/// an error if the given schema has fewer columns than the original schema.
/// Note that the resulting expression may not be valid if data types in the
/// new schema is incompatible with expression nodes.
pub fn with_new_schema(
expr: Arc<dyn PhysicalExpr>,
schema: &SchemaRef,
) -> Result<Arc<dyn PhysicalExpr>> {
Ok(expr
.transform_up(|expr| {
if let Some(col) = expr.as_any().downcast_ref::<Column>() {
let idx = col.index();
let Some(field) = schema.fields().get(idx) else {
return plan_err!(
"New schema has fewer columns than original schema"
);
};
let new_col = Column::new(field.name(), idx);
Ok(Transformed::yes(Arc::new(new_col) as _))
} else {
Ok(Transformed::no(expr))
}
})?
.data)
}
pub fn down_cast_any_ref(any: &dyn Any) -> &dyn Any {
if any.is::<Arc<dyn PhysicalExpr>>() {
any.downcast_ref::<Arc<dyn PhysicalExpr>>()
.unwrap()
.as_any()
} else if any.is::<Box<dyn PhysicalExpr>>() {
any.downcast_ref::<Box<dyn PhysicalExpr>>()
.unwrap()
.as_any()
} else {
any
}
}