use std::hash::{Hash, Hasher};
use std::{any::Any, sync::Arc};
use arrow::compute;
use arrow::{
datatypes::{DataType, Schema},
record_batch::RecordBatch,
};
use crate::physical_expr::down_cast_any_ref;
use crate::PhysicalExpr;
use datafusion_common::Result;
use datafusion_common::ScalarValue;
use datafusion_expr::ColumnarValue;
#[derive(Debug, Hash)]
pub struct IsNullExpr {
arg: Arc<dyn PhysicalExpr>,
}
impl IsNullExpr {
pub fn new(arg: Arc<dyn PhysicalExpr>) -> Self {
Self { arg }
}
pub fn arg(&self) -> &Arc<dyn PhysicalExpr> {
&self.arg
}
}
impl std::fmt::Display for IsNullExpr {
fn fmt(&self, f: &mut std::fmt::Formatter) -> std::fmt::Result {
write!(f, "{} IS NULL", self.arg)
}
}
impl PhysicalExpr for IsNullExpr {
fn as_any(&self) -> &dyn Any {
self
}
fn data_type(&self, _input_schema: &Schema) -> Result<DataType> {
Ok(DataType::Boolean)
}
fn nullable(&self, _input_schema: &Schema) -> Result<bool> {
Ok(false)
}
fn evaluate(&self, batch: &RecordBatch) -> Result<ColumnarValue> {
let arg = self.arg.evaluate(batch)?;
match arg {
ColumnarValue::Array(array) => Ok(ColumnarValue::Array(Arc::new(
compute::is_null(array.as_ref())?,
))),
ColumnarValue::Scalar(scalar) => Ok(ColumnarValue::Scalar(
ScalarValue::Boolean(Some(scalar.is_null())),
)),
}
}
fn children(&self) -> Vec<Arc<dyn PhysicalExpr>> {
vec![self.arg.clone()]
}
fn with_new_children(
self: Arc<Self>,
children: Vec<Arc<dyn PhysicalExpr>>,
) -> Result<Arc<dyn PhysicalExpr>> {
Ok(Arc::new(IsNullExpr::new(children[0].clone())))
}
fn dyn_hash(&self, state: &mut dyn Hasher) {
let mut s = state;
self.hash(&mut s);
}
}
impl PartialEq<dyn Any> for IsNullExpr {
fn eq(&self, other: &dyn Any) -> bool {
down_cast_any_ref(other)
.downcast_ref::<Self>()
.map(|x| self.arg.eq(&x.arg))
.unwrap_or(false)
}
}
pub fn is_null(arg: Arc<dyn PhysicalExpr>) -> Result<Arc<dyn PhysicalExpr>> {
Ok(Arc::new(IsNullExpr::new(arg)))
}
#[cfg(test)]
mod tests {
use super::*;
use crate::expressions::col;
use arrow::{
array::{BooleanArray, StringArray},
datatypes::*,
record_batch::RecordBatch,
};
use datafusion_common::cast::as_boolean_array;
use std::sync::Arc;
#[test]
fn is_null_op() -> Result<()> {
let schema = Schema::new(vec![Field::new("a", DataType::Utf8, true)]);
let a = StringArray::from(vec![Some("foo"), None]);
let expr = is_null(col("a", &schema)?).unwrap();
let batch = RecordBatch::try_new(Arc::new(schema), vec![Arc::new(a)])?;
let result = expr.evaluate(&batch)?.into_array(batch.num_rows());
let result =
as_boolean_array(&result).expect("failed to downcast to BooleanArray");
let expected = &BooleanArray::from(vec![false, true]);
assert_eq!(expected, result);
Ok(())
}
}