Struct StringEncoding 

pub struct StringEncoding;

Implementations

impl StringEncoding

pub fn data_type() -> DataType

Returns the type of the StringEncoding.

pub fn encode_term( &self, term: ThinResult<TermRef<'_>>, ) -> DFResult<StringEncodingScalar>

Encodes the term as a StringEncodingScalar.

Trait Implementations

impl Debug for StringEncoding

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

Formats the value using the given formatter.

impl TermEncoder<StringEncoding> for StringEncoding

type Term<'data> = TermRef<'data>

The value type that is being encoded.

fn encode_terms<'data>( &self, terms: impl IntoIterator<Item = ThinResult<Self::Term<'data>>>, ) -> DFResult<StringTermArray>

Allows encoding an iterator over RDF terms in an Arrow array.

fn encode_term( &self, term: ThinResult<Self::Term<'_>>, ) -> DFResult<StringEncodingScalar>

Allows encoding a scalar RDF term in an Arrow scalar.

impl TermEncoding for StringEncoding

type Array = StringTermArray

Represents a wrapper for Arrow arrays of this encoding. This can be used in conjunction with TermDecoder to obtain the values from an Arrow array.

type Scalar = StringEncodingScalar

Represents a wrapper for Arrow scalars of this encoding. This can be used in conjunction with TermDecoder to obtain the values from an Arrow scalar.

fn name(&self) -> EncodingName

Returns the name of the encoding.

fn data_type(&self) -> &DataType

Returns the DataType that is used for this encoding.

fn try_new_array(self: &Arc<Self>, array: ArrayRef) -> DFResult<Self::Array>

Checks whether array contains a value with the correct encoding (i.e., type and possibly metadata checks). If yes, returns an instance of Self::Array. Otherwise, an error is returned.

fn try_new_scalar( self: &Arc<Self>, scalar: ScalarValue, ) -> DFResult<Self::Scalar>

Checks whether scalar contains a value with the correct encoding (i.e., type and possibly metadata checks). If yes, returns an instance of Self::Scalar. Otherwise, an error is returned.

fn try_new_datum( self: &Arc<Self>, value: ColumnarValue, number_rows: usize, ) -> DFResult<EncodingDatum<Self>>

Checks whether value contains a value with the correct encoding (i.e., type and possibly metadata checks). If yes, returns a datum that either wraps an array or a scalar. Otherwise, an error is returned.