datafusion-expr 38.0.0

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// to you under the Apache License, Version 2.0 (the
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// with the License.  You may obtain a copy of the License at
//
//   http://www.apache.org/licenses/LICENSE-2.0
//
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// specific language governing permissions and limitations
// under the License.

//! Function module contains typing and signature for built-in and user defined functions.

use crate::ColumnarValue;
use crate::{Accumulator, Expr, PartitionEvaluator};
use arrow::datatypes::{DataType, Schema};
use datafusion_common::Result;
use std::sync::Arc;

/// Scalar function
///
/// The Fn param is the wrapped function but be aware that the function will
/// be passed with the slice / vec of columnar values (either scalar or array)
/// with the exception of zero param function, where a singular element vec
/// will be passed. In that case the single element is a null array to indicate
/// the batch's row count (so that the generative zero-argument function can know
/// the result array size).
pub type ScalarFunctionImplementation =
    Arc<dyn Fn(&[ColumnarValue]) -> Result<ColumnarValue> + Send + Sync>;

/// Factory that returns the functions's return type given the input argument types
pub type ReturnTypeFunction =
    Arc<dyn Fn(&[DataType]) -> Result<Arc<DataType>> + Send + Sync>;

/// [`AccumulatorArgs`] contains information about how an aggregate
/// function was called, including the types of its arguments and any optional
/// ordering expressions.
pub struct AccumulatorArgs<'a> {
    /// The return type of the aggregate function.
    pub data_type: &'a DataType,
    /// The schema of the input arguments
    pub schema: &'a Schema,
    /// Whether to ignore nulls.
    ///
    /// SQL allows the user to specify `IGNORE NULLS`, for example:
    ///
    /// ```sql
    /// SELECT FIRST_VALUE(column1) IGNORE NULLS FROM t;
    /// ```
    pub ignore_nulls: bool,

    /// The expressions in the `ORDER BY` clause passed to this aggregator.
    ///
    /// SQL allows the user to specify the ordering of arguments to the
    /// aggregate using an `ORDER BY`. For example:
    ///
    /// ```sql
    /// SELECT FIRST_VALUE(column1 ORDER BY column2) FROM t;
    /// ```
    ///
    /// If no `ORDER BY` is specified, `sort_exprs`` will be empty.
    pub sort_exprs: &'a [Expr],
}

impl<'a> AccumulatorArgs<'a> {
    pub fn new(
        data_type: &'a DataType,
        schema: &'a Schema,
        ignore_nulls: bool,
        sort_exprs: &'a [Expr],
    ) -> Self {
        Self {
            data_type,
            schema,
            ignore_nulls,
            sort_exprs,
        }
    }
}

/// Factory that returns an accumulator for the given aggregate function.
pub type AccumulatorFactoryFunction =
    Arc<dyn Fn(AccumulatorArgs) -> Result<Box<dyn Accumulator>> + Send + Sync>;

/// Factory that creates a PartitionEvaluator for the given window
/// function
pub type PartitionEvaluatorFactory =
    Arc<dyn Fn() -> Result<Box<dyn PartitionEvaluator>> + Send + Sync>;

/// Factory that returns the types used by an aggregator to serialize
/// its state, given its return datatype.
pub type StateTypeFunction =
    Arc<dyn Fn(&DataType) -> Result<Arc<Vec<DataType>>> + Send + Sync>;