Struct EdgeTypeStatistics 

pub struct EdgeTypeStatistics {

    pub edge_type: String,
    pub edge_count: u64,
    pub allocated_slots: Option<u64>,
    pub avg_out_degree: f64,
    pub avg_in_degree: f64,
    pub max_out_degree: u64,
    pub max_in_degree: u64,
    pub unique_src_vertices: u64,
    pub out_degree_std_dev: f64,
    pub in_degree_std_dev: f64,
    pub degree_gini_coefficient: f64,
    pub hot_vertices: Vec<HotVertexInfo>,
    pub space: Option<String>,
    pub schema_version: Option<u64>,
}

Edge type statistics information

Fields

edge_type: String

Edge Type Name

edge_count: u64

Total number of edges

allocated_slots: Option<u64>

Allocated slots including deleted-but-unreclaimed holes, when the storage engine exposes a table cardinality snapshot. None means unknown and costs fall back to the live count (zero holes).

avg_out_degree: f64

Average frequency of use

avg_in_degree: f64

Average Indegree

max_out_degree: u64

Maximum Outdegree

max_in_degree: u64

Maximum In-degree

unique_src_vertices: u64

The number of unique source vertices

out_degree_std_dev: f64

Outlier standard deviation (a measure of the degree of dispersion of a distribution)

in_degree_std_dev: f64

In-degree standard deviation

degree_gini_coefficient: f64

Gini coefficient (ranging from 0 to 1; the higher the value, the more unequal the distribution)

hot_vertices: Vec<HotVertexInfo>

List of the top K vertices (vertices with the highest degree)

space: Option<String>

Space this statistics was collected for (None = default).

schema_version: Option<u64>

Schema version at collection time (used for staleness checks).

Implementations

impl EdgeTypeStatistics

pub fn new(edge_type: String) -> Self

Create new statistical information for edge types.

pub fn with_version(self, space: String, schema_version: u64) -> Self

Attach space and schema version provenance.

pub fn estimate_expand_cost(&self, start_nodes: u64) -> f64

Estimate the cost of expansion

pub fn hole_rate(&self) -> f64

Hole rate 1 - live / allocated, clamped to [0, 1).

Same contract as the tag-level helper: unknown or inconsistent snapshots report zero.

pub fn apply_table_snapshot( &mut self, snapshot: Option<&TableCardinalitySnapshot>, )

Fill the allocated slot count from a storage table snapshot. Snapshots that carry no rows leave the field unknown.

pub fn is_heavily_skewed(&self) -> bool

Determine whether there is a significant inclination.

pub fn skewness_level(&self) -> SkewnessLevel

Obtaining the inclination level

pub fn skew_penalty(&self) -> f64

Shared skew penalty so cost and row estimation use one definition.

pub fn skew_row_factor(&self) -> f64

Shared conservative row factor for skewed expansion.

pub fn calculate_skewed_expand_cost(&self, start_nodes: u64) -> f64

Calculate the cost of tilt perception (use a more conservative estimate for tilted data)

pub fn has_hot_vertices(&self) -> bool

Determine whether it contains a hot spot vertex.

pub fn hot_vertex_count(&self) -> usize

Obtain the number of hot vertices

Trait Implementations

impl Clone for EdgeTypeStatistics

fn clone(&self) -> Self

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for EdgeTypeStatistics

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

Formats the value using the given formatter.

impl Default for EdgeTypeStatistics

fn default() -> Self

Returns the “default value” for a type.