Struct datafusion_physical_expr::ScalarFunctionExpr

pub struct ScalarFunctionExpr { /* private fields */ }

Physical expression of a scalar function

Implementations

impl ScalarFunctionExpr

pub fn new( name: &str, fun: ScalarFunctionImplementation, args: Vec<Arc<dyn PhysicalExpr>>, return_type: &DataType ) -> Self

Create a new Scalar function

pub fn fun(&self) -> &ScalarFunctionImplementation

Get the scalar function implementation

pub fn name(&self) -> &str

The name for this expression

pub fn args(&self) -> &[Arc<dyn PhysicalExpr>]

Input arguments

pub fn return_type(&self) -> &DataType

Data type produced by this expression

Trait Implementations

impl Debug for ScalarFunctionExpr

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Display for ScalarFunctionExpr

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq<dyn Any + 'static> for ScalarFunctionExpr

fn eq(&self, other: &dyn Any) -> bool

Comparing name, args and return_type

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl PhysicalExpr for ScalarFunctionExpr

fn as_any(&self) -> &dyn Any

Return a reference to Any that can be used for downcasting

fn data_type(&self, _input_schema: &Schema) -> Result<DataType>

Get the data type of this expression, given the schema of the input

fn nullable(&self, _input_schema: &Schema) -> Result<bool>

Determine whether this expression is nullable, given the schema of the input

fn evaluate(&self, batch: &RecordBatch) -> Result<ColumnarValue>

Evaluate an expression against a RecordBatch

fn children(&self) -> Vec<Arc<dyn PhysicalExpr>>

Get a list of child PhysicalExpr that provide the input for this expr.

fn with_new_children( self: Arc<Self>, children: Vec<Arc<dyn PhysicalExpr>> ) -> Result<Arc<dyn PhysicalExpr>>

Returns a new PhysicalExpr where all children were replaced by new exprs.

fn evaluate_selection( &self, batch: &RecordBatch, selection: &BooleanArray ) -> Result<ColumnarValue>

Evaluate an expression against a RecordBatch after first applying a validity array

fn analyze(&self, context: AnalysisContext) -> AnalysisContext

Return the boundaries of this expression. This method (and all the related APIs) are experimental and subject to change.