Struct GraphFunctions

pub struct GraphFunctions;

Basic graph functions for SQL integration These are simplified implementations to establish the foundation Full DataFusion UDF integration will be implemented in a future iteration

Implementations

impl GraphFunctions

pub fn new() -> Self

pub fn graph_density(&self, _edges_table: &str) -> DataFusionResult<f64>

Calculate graph density: edges / (nodes * (nodes - 1))

pub fn clustering_coefficient( &self, _node_id: &str, _edges_table: &str, ) -> DataFusionResult<f64>

Calculate clustering coefficient for a specific node

pub fn pagerank( &self, _node_id: &str, _edges_table: &str, _damping_factor: Option<f64>, ) -> DataFusionResult<f64>

Calculate PageRank score for a specific node

pub fn degree_centrality( &self, _node_id: &str, _edges_table: &str, ) -> DataFusionResult<f64>

Calculate degree centrality for a specific node

pub fn betweenness_centrality( &self, _node_id: &str, _edges_table: &str, ) -> DataFusionResult<f64>

Calculate betweenness centrality for a specific node

pub fn graph_match( &self, _pattern: &str, _nodes_table: &str, _edges_table: &str, ) -> DataFusionResult<bool>

Basic graph pattern matching

pub fn connected_components( &self, _edges_table: &str, _algorithm: Option<&str>, ) -> DataFusionResult<u64>

Count connected components

pub fn shortest_path_batch( &self, _sources: &[String], _targets: &[String], _edges_table: &str, ) -> DataFusionResult<Vec<f64>>

Batch shortest path calculation (simplified)

Trait Implementations

impl Default for GraphFunctions

fn default() -> Self

Returns the “default value” for a type.