datafusion-physical-expr 17.0.0

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//
//   http://www.apache.org/licenses/LICENSE-2.0
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//! IS NULL expression

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;

/// IS NULL expression
#[derive(Debug)]
pub struct IsNullExpr {
    /// Input expression
    arg: Arc<dyn PhysicalExpr>,
}

impl IsNullExpr {
    /// Create new not expression
    pub fn new(arg: Arc<dyn PhysicalExpr>) -> Self {
        Self { arg }
    }

    /// Get the input expression
    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 {
    /// Return a reference to Any that can be used for downcasting
    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())))
    }
}

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)
    }
}
/// Create an IS NULL expression
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]);

        // expression: "a is null"
        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(())
    }
}