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use std::any::Any;
use std::sync::Arc;
use arrow::array::ArrayRef;
use arrow::compute::kernels::arithmetic::negate;
use arrow::{
array::{Float32Array, Float64Array, Int16Array, Int32Array, Int64Array, Int8Array},
datatypes::{DataType, Schema},
record_batch::RecordBatch,
};
use crate::PhysicalExpr;
use datafusion_common::{DataFusionError, Result};
use datafusion_expr::{type_coercion::is_signed_numeric, ColumnarValue};
macro_rules! compute_op {
($OPERAND:expr, $OP:ident, $DT:ident) => {{
let operand = $OPERAND
.as_any()
.downcast_ref::<$DT>()
.expect("compute_op failed to downcast array");
Ok(Arc::new($OP(&operand)?))
}};
}
#[derive(Debug)]
pub struct NegativeExpr {
arg: Arc<dyn PhysicalExpr>,
}
impl NegativeExpr {
pub fn new(arg: Arc<dyn PhysicalExpr>) -> Self {
Self { arg }
}
pub fn arg(&self) -> &Arc<dyn PhysicalExpr> {
&self.arg
}
}
impl std::fmt::Display for NegativeExpr {
fn fmt(&self, f: &mut std::fmt::Formatter) -> std::fmt::Result {
write!(f, "(- {})", self.arg)
}
}
impl PhysicalExpr for NegativeExpr {
fn as_any(&self) -> &dyn Any {
self
}
fn data_type(&self, input_schema: &Schema) -> Result<DataType> {
self.arg.data_type(input_schema)
}
fn nullable(&self, input_schema: &Schema) -> Result<bool> {
self.arg.nullable(input_schema)
}
fn evaluate(&self, batch: &RecordBatch) -> Result<ColumnarValue> {
let arg = self.arg.evaluate(batch)?;
match arg {
ColumnarValue::Array(array) => {
let result: Result<ArrayRef> = match array.data_type() {
DataType::Int8 => compute_op!(array, negate, Int8Array),
DataType::Int16 => compute_op!(array, negate, Int16Array),
DataType::Int32 => compute_op!(array, negate, Int32Array),
DataType::Int64 => compute_op!(array, negate, Int64Array),
DataType::Float32 => compute_op!(array, negate, Float32Array),
DataType::Float64 => compute_op!(array, negate, Float64Array),
_ => Err(DataFusionError::Internal(format!(
"(- '{:?}') can't be evaluated because the expression's type is {:?}, not signed numeric",
self,
array.data_type(),
))),
};
result.map(|a| ColumnarValue::Array(a))
}
ColumnarValue::Scalar(scalar) => {
Ok(ColumnarValue::Scalar((scalar.arithmetic_negate())?))
}
}
}
}
pub fn negative(
arg: Arc<dyn PhysicalExpr>,
input_schema: &Schema,
) -> Result<Arc<dyn PhysicalExpr>> {
let data_type = arg.data_type(input_schema)?;
if !is_signed_numeric(&data_type) {
Err(DataFusionError::Internal(
format!("Can't create negative physical expr for (- '{:?}'), the type of child expr is {}, not signed numeric", arg, data_type),
))
} else {
Ok(Arc::new(NegativeExpr::new(arg)))
}
}