Struct LanceStorage 

pub struct LanceStorage { /* private fields */ }

Lance-based storage backend for ArrowSpace graph embeddings.

Stores dense and sparse matrices as Lance datasets using a columnar format (row, col, value for sparse; col_* for dense) schema for efficient random and columnar access.

Implementations

impl LanceStorage

pub fn new(_base: String, _name: String) -> Self

Creates a new Lance storage backend.

This is used for on-the-fly creation. For proper setup use Genefold<...>::seed.

Arguments

• _base - Base directory path for all storage files
• _name - Name prefix for this storage instance

pub async fn spawn( base_path: String, ) -> Result<(LanceStorage, GeneMetadata), StorageError>

Spawn a LanceStorage from an existing seeded directory (with metadata.json)

Trait Implementations

impl Clone for LanceStorage

fn clone(&self) -> LanceStorage

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for LanceStorage

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

Formats the value using the given formatter.

impl StorageBackend for LanceStorage

fn basepath_to_uri(&self) -> String

Converts the base path for the store to a file:// URI for Lance.

fn path_to_uri(path: &Path) -> String

Converts a full file path to a file:// URI for Lance.

async fn save_dense( &self, key: &str, matrix: &DenseMatrix<f64>, md_path: &Path, ) -> StorageResult<()>

Save dense matrix using Lance-optimized vector format.

Each row of the matrix becomes a FixedSizeList entry for efficient vector operations. This format is optimized for vector search and enables Lance’s full-zip encoding.

Arguments

• filename - Type identifier (e.g., “rawinput”, “sub_centroids”)
• matrix - Dense matrix to save (N rows × F cols)
• md_path - Metadata file path for validation

async fn load_dense(&self, key: &str) -> StorageResult<DenseMatrix<f64>>

Load dense matrix from Lance-optimized vector format.

Reads FixedSizeList vectors and reconstructs a column-major DenseMatrix.

Arguments

• filename - Type identifier (e.g., “rawinput”, “sub_centroids”)

Returns

Column-major DenseMatrix matching smartcore conventions

async fn load_dense_from_file( &self, path: &Path, ) -> StorageResult<DenseMatrix<f64>>

Load initial data using columnar format from a file path.

Async test helper that avoids any internal blocking runtimes.

async fn save_centroid_map( &self, map: &[usize], md_path: &Path, ) -> StorageResult<()>

Save centroid_map (item-to-centroid assignments)

async fn load_centroid_map(&self) -> StorageResult<Vec<usize>>

Load centroid_map

async fn save_subcentroid_lambdas( &self, lambdas: &[f64], md_path: &Path, ) -> StorageResult<()>

Save subcentroid_lambdas (tau values for subcentroids)

async fn load_subcentroid_lambdas(&self) -> StorageResult<Vec<f64>>

Load subcentroid_lambdas

async fn save_subcentroids( &self, subcentroids: &DenseMatrix<f64>, md_path: &Path, ) -> StorageResult<()>

Save subcentroids (dense matrix)

async fn load_subcentroids(&self) -> StorageResult<Vec<Vec<f64>>>

Load subcentroids as Vec<Vec>

async fn save_item_norms( &self, item_norms: &[f64], md_path: &Path, ) -> StorageResult<()>

Save item norms vector

async fn load_item_norms(&self) -> StorageResult<Vec<f64>>

Load item norms vector

fn get_base(&self) -> String

Base directory of the instance

fn get_name(&self) -> String

Name of the instance

fn base_path(&self) -> PathBuf

Returns the base directory path.

fn metadata_path(&self) -> PathBuf

Returns the metadata path.

fn file_path(&self, key: &str) -> PathBuf

Compute the full Lance/parquet file path for a logical filetype.

async fn save_sparse( &self, key: &str, matrix: &CsMat<f64>, md_path: &Path, ) -> StorageResult<()>

Saves a sparse matrix. Requires metadata to exist.

async fn load_sparse(&self, key: &str) -> StorageResult<CsMat<f64>>

Loads a sparse matrix from storage.

async fn save_lambdas( &self, lambdas: &[f64], md_path: &Path, ) -> StorageResult<()>

Saves lambda eigenvalues. Requires metadata to exist.

async fn load_lambdas(&self) -> StorageResult<Vec<f64>>

Loads lambda eigenvalues from storage.

async fn save_metadata(&self, metadata: &GeneMetadata) -> StorageResult<PathBuf>

Initializes storage by saving metadata. Must be called first.

async fn load_metadata(&self) -> StorageResult<GeneMetadata>

Loads metadata from storage.

async fn save_vector( &self, key: &str, vector: &[f64], md_path: &Path, ) -> StorageResult<()>

save a generic f64 sequence

async fn save_index( &self, key: &str, vector: &[usize], md_path: &Path, ) -> StorageResult<()>

Save vectors that are not lambdas but indices.

async fn load_vector(&self, filename: &str) -> StorageResult<Vec<f64>>

async fn load_index(&self, filename: &str) -> StorageResult<Vec<usize>>

Load index or generic usize vector from storage.

async fn save_cluster_assignments( &self, assignments: &[Option<usize>], md_path: &Path, ) -> StorageResult<()>

Save cluster assignments (Vec<Option>)

async fn load_cluster_assignments(&self) -> StorageResult<Vec<Option<usize>>>

Load cluster assignments

fn exists(path: &str) -> (bool, Option<PathBuf>)

Returns true and the path to the metadata file if metadata file exists and is valid, false otherwise. This is used to avoid overwriting existing indexes.