pub struct VertexDataset { /* private fields */ }Implementations§
Source§impl VertexDataset
impl VertexDataset
pub fn new(base_uri: &str, label: &str, label_id: u16) -> VertexDataset
Sourcepub fn compute_vertex_uid(
label: &str,
ext_id: Option<&str>,
properties: &HashMap<String, Value>,
) -> UniId
pub fn compute_vertex_uid( label: &str, ext_id: Option<&str>, properties: &HashMap<String, Value>, ) -> UniId
Compute UniId from vertex content. Canonical form: sorted JSON of (label, ext_id, properties)
pub async fn open(&self) -> Result<Arc<Dataset>, Error>
pub async fn open_at(&self, version: Option<u64>) -> Result<Arc<Dataset>, Error>
pub async fn open_raw(&self) -> Result<Dataset, Error>
Sourcepub fn build_record_batch(
&self,
vertices: &[(Vid, Vec<String>, HashMap<String, Value>)],
deleted: &[bool],
versions: &[u64],
schema: &Schema,
) -> Result<RecordBatch, Error>
pub fn build_record_batch( &self, vertices: &[(Vid, Vec<String>, HashMap<String, Value>)], deleted: &[bool], versions: &[u64], schema: &Schema, ) -> Result<RecordBatch, Error>
Build a record batch from vertices with optional timestamp metadata.
If timestamps are not provided, they default to None (null).
Sourcepub fn build_record_batch_with_timestamps(
&self,
vertices: &[(Vid, Vec<String>, HashMap<String, Value>)],
deleted: &[bool],
versions: &[u64],
schema: &Schema,
created_at: Option<&HashMap<Vid, i64>>,
updated_at: Option<&HashMap<Vid, i64>>,
) -> Result<RecordBatch, Error>
pub fn build_record_batch_with_timestamps( &self, vertices: &[(Vid, Vec<String>, HashMap<String, Value>)], deleted: &[bool], versions: &[u64], schema: &Schema, created_at: Option<&HashMap<Vid, i64>>, updated_at: Option<&HashMap<Vid, i64>>, ) -> Result<RecordBatch, Error>
Build a record batch with explicit timestamp metadata.
§Arguments
vertices- Vertex ID, labels, and properties triplesdeleted- Deletion flags per vertexversions- Version numbers per vertexschema- Database schemacreated_at- Optional map of Vid -> nanoseconds since epochupdated_at- Optional map of Vid -> nanoseconds since epoch
pub fn get_arrow_schema(&self, schema: &Schema) -> Result<Arc<Schema>, Error>
Sourcepub async fn open_or_create(
&self,
backend: &(dyn StorageBackend + 'static),
schema: &Schema,
) -> Result<(), Error>
pub async fn open_or_create( &self, backend: &(dyn StorageBackend + 'static), schema: &Schema, ) -> Result<(), Error>
Open or create a vertex table via the storage backend.
Sourcepub async fn write_batch(
&self,
backend: &(dyn StorageBackend + 'static),
batch: RecordBatch,
_schema: &Schema,
) -> Result<(), Error>
pub async fn write_batch( &self, backend: &(dyn StorageBackend + 'static), batch: RecordBatch, _schema: &Schema, ) -> Result<(), Error>
Write a batch to a vertex table.
Creates the table if it doesn’t exist, otherwise appends to it.
Sourcepub async fn ensure_default_indexes(
&self,
backend: &(dyn StorageBackend + 'static),
) -> Result<(), Error>
pub async fn ensure_default_indexes( &self, backend: &(dyn StorageBackend + 'static), ) -> Result<(), Error>
Ensure default scalar indexes exist on system columns (_vid, _uid, ext_id).
Sourcepub fn table_name(&self) -> String
pub fn table_name(&self) -> String
Get the table name for this vertex dataset.
Sourcepub async fn replace(
&self,
backend: &(dyn StorageBackend + 'static),
batch: RecordBatch,
schema: &Schema,
) -> Result<(), Error>
pub async fn replace( &self, backend: &(dyn StorageBackend + 'static), batch: RecordBatch, schema: &Schema, ) -> Result<(), Error>
Replace a vertex table’s contents atomically.
Used by compaction to rewrite the table with merged data.
Auto Trait Implementations§
impl Freeze for VertexDataset
impl RefUnwindSafe for VertexDataset
impl Send for VertexDataset
impl Sync for VertexDataset
impl Unpin for VertexDataset
impl UnsafeUnpin for VertexDataset
impl UnwindSafe for VertexDataset
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