use std::collections::HashSet; use super::{Edge, RankingRuleGraph, RankingRuleGraphTrait}; use crate::search::new::interner::Interner; use crate::search::new::small_bitmap::SmallBitmap; use crate::search::new::{QueryGraph, SearchContext}; use crate::Result; impl RankingRuleGraph { /// Build the ranking rule graph from the given query graph pub fn build(ctx: &mut SearchContext, query_graph: QueryGraph) -> Result { let QueryGraph { nodes: graph_nodes, edges: graph_edges, .. } = &query_graph; let mut conditions_interner = Interner::default(); let mut edges_store = vec![]; let mut edges_of_node = vec![]; for (node_idx, node) in graph_nodes.iter().enumerate() { edges_of_node.push(HashSet::new()); let new_edges = edges_of_node.last_mut().unwrap(); let Some(source_node_data) = G::build_step_visit_source_node(ctx, node)? else { continue }; for successor_idx in graph_edges[node_idx].successors.iter() { let dest_node = &graph_nodes[successor_idx as usize]; let edges = G::build_step_visit_destination_node( ctx, &mut conditions_interner, dest_node, &source_node_data, )?; if edges.is_empty() { continue; } for (cost, condition) in edges { edges_store.push(Some(Edge { source_node: node_idx as u16, dest_node: successor_idx, cost, condition, })); new_edges.insert(edges_store.len() as u16 - 1); } } } let edges_of_node = edges_of_node .into_iter() .map(|edges| SmallBitmap::from_iter(edges.into_iter(), edges_store.len() as u16)) .collect(); Ok(RankingRuleGraph { query_graph, edges_store, edges_of_node, conditions_interner }) } }