Struct lance_index::vector::sq::storage::ScalarQuantizationStorage

pub struct ScalarQuantizationStorage { /* private fields */ }

Implementations

impl ScalarQuantizationStorage

pub fn new( num_bits: u16, metric_type: MetricType, bounds: Range<f64>, batch: RecordBatch ) -> Result<Self>

pub fn num_bits(&self) -> u16

pub fn metric_type(&self) -> MetricType

pub fn bounds(&self) -> Range<f64>

pub fn batch(&self) -> &RecordBatch

pub fn row_ids(&self) -> &[u64]

pub fn sq_codes(&self) -> &Arc<FixedSizeListArray>

pub async fn load(object_store: &ObjectStore, path: &Path) -> Result<Self>

Trait Implementations

impl Clone for ScalarQuantizationStorage

fn clone(&self) -> ScalarQuantizationStorage

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl QuantizerStorage for ScalarQuantizationStorage

fn load_partition<'life0, 'life1, 'async_trait>( reader: &'life0 FileReader, range: Range<usize>, metric_type: MetricType, metadata: &'life1 Self::Metadata ) -> Pin<Box<dyn Future<Output = Result<Self>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait,

Load a partition of SQ storage from disk.

Parameters

• *reader: file reader
• *range: row range of the partition
• *metric_type: metric type of the vectors
• *metadata: scalar quantization metadata

type Metadata = ScalarQuantizationMetadata

impl VectorStorage for ScalarQuantizationStorage

fn metric_type(&self) -> MetricType

Return the metric type of the vectors.

fn dist_calculator(&self, query: &[f32]) -> Box<dyn DistCalculator>

Create a [DistCalculator] to compute the distance between the query.

Using dist calcualtor can be more efficient as it can pre-compute some values.

fn as_any(&self) -> &dyn Any

fn len(&self) -> usize

fn row_ids(&self) -> &[u64]

fn is_empty(&self) -> bool

Returns true if this graph is empty.