Struct datafusion::functions::unicode::translate::TranslateFunc

pub struct TranslateFunc { /* private fields */ }

Implementations

impl TranslateFunc

pub fn new() -> TranslateFunc

Trait Implementations

impl Debug for TranslateFunc

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

Formats the value using the given formatter.

impl Default for TranslateFunc

fn default() -> TranslateFunc

Returns the “default value” for a type.

impl ScalarUDFImpl for TranslateFunc

fn as_any(&self) -> &(dyn Any + 'static)

Returns this object as an Any trait object

fn name(&self) -> &str

Returns this function’s name

fn signature(&self) -> &Signature

Returns the function’s Signature for information about what input types are accepted and the function’s Volatility.

fn return_type( &self, arg_types: &[DataType] ) -> Result<DataType, DataFusionError>

What DataType will be returned by this function, given the types of the arguments.

fn invoke( &self, args: &[ColumnarValue] ) -> Result<ColumnarValue, DataFusionError>

Invoke the function on args, returning the appropriate result

fn return_type_from_exprs( &self, _args: &[Expr], _schema: &dyn ExprSchema, arg_types: &[DataType] ) -> Result<DataType, DataFusionError>

What DataType will be returned by this function, given the arguments?

fn invoke_no_args( &self, _number_rows: usize ) -> Result<ColumnarValue, DataFusionError>

Invoke the function without args, instead the number of rows are provided, returning the appropriate result.

fn aliases(&self) -> &[String]

Returns any aliases (alternate names) for this function.

fn monotonicity(&self) -> Result<Option<Vec<Option<bool>>>, DataFusionError>

This function specifies monotonicity behaviors for User defined scalar functions.

fn simplify( &self, args: Vec<Expr>, _info: &dyn SimplifyInfo ) -> Result<ExprSimplifyResult, DataFusionError>

Optionally apply per-UDF simplification / rewrite rules.

fn short_circuits(&self) -> bool

Returns true if some of this exprs subexpressions may not be evaluated and thus any side effects (like divide by zero) may not be encountered Setting this to true prevents certain optimizations such as common subexpression elimination