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oxirs_arq/advanced_optimizer/
index_advisor.rs

1//! Index Advisor for Automatic Index Recommendation
2//!
3//! This module provides intelligent index recommendation based on query patterns,
4//! usage statistics, and performance characteristics.
5
6use std::collections::{HashMap, HashSet};
7use std::time::{Duration, Instant};
8
9use crate::algebra::{TriplePattern, Variable};
10use crate::optimizer::IndexType;
11
12/// Index advisor for automatic index recommendation
13#[derive(Clone)]
14pub struct IndexAdvisor {
15    #[allow(dead_code)]
16    query_patterns: HashMap<String, QueryPattern>,
17    index_usage_stats: HashMap<IndexType, IndexUsageStats>,
18    recommended_indexes: Vec<IndexRecommendation>,
19}
20
21/// Query pattern for index analysis
22#[derive(Debug, Clone)]
23pub struct QueryPattern {
24    pub pattern_hash: u64,
25    pub triple_patterns: Vec<TriplePattern>,
26    pub join_variables: HashSet<Variable>,
27    pub filter_variables: HashSet<Variable>,
28    pub frequency: usize,
29    pub avg_execution_time: Duration,
30    pub avg_cardinality: usize,
31}
32
33/// Index usage statistics
34#[derive(Debug, Clone, Default)]
35pub struct IndexUsageStats {
36    pub access_count: usize,
37    pub total_access_time: Duration,
38    pub avg_selectivity: f64,
39    pub memory_usage: usize,
40    pub last_updated: Option<Instant>,
41}
42
43/// Index recommendation
44#[derive(Debug, Clone)]
45pub struct IndexRecommendation {
46    pub index_type: IndexType,
47    pub priority: IndexPriority,
48    pub estimated_benefit: f64,
49    pub estimated_cost: f64,
50    pub supporting_patterns: Vec<String>,
51    pub confidence: f64,
52}
53
54/// Index priority levels
55#[derive(Debug, Clone, PartialEq, PartialOrd)]
56pub enum IndexPriority {
57    Critical = 4,
58    High = 3,
59    Medium = 2,
60    Low = 1,
61}
62
63impl IndexAdvisor {
64    /// Create a new index advisor
65    pub fn new() -> Self {
66        Self {
67            query_patterns: HashMap::new(),
68            index_usage_stats: HashMap::new(),
69            recommended_indexes: Vec::new(),
70        }
71    }
72
73    /// Analyze query pattern and update recommendations
74    pub fn analyze_query_pattern(&mut self, _patterns: &[TriplePattern]) -> anyhow::Result<()> {
75        // Implementation will be extracted from the original file
76        Ok(())
77    }
78
79    /// Get current index recommendations
80    pub fn get_recommendations(&self) -> &[IndexRecommendation] {
81        &self.recommended_indexes
82    }
83
84    /// Update usage statistics for an index
85    pub fn update_index_usage(
86        &mut self,
87        index_type: IndexType,
88        access_time: Duration,
89        selectivity: f64,
90    ) {
91        let stats = self.index_usage_stats.entry(index_type).or_default();
92        stats.access_count += 1;
93        stats.total_access_time += access_time;
94        stats.avg_selectivity = (stats.avg_selectivity * (stats.access_count - 1) as f64
95            + selectivity)
96            / stats.access_count as f64;
97        stats.last_updated = Some(Instant::now());
98    }
99
100    /// Get the count of recommendations generated
101    pub fn recommendations_count(&self) -> usize {
102        self.recommended_indexes.len()
103    }
104}
105
106impl Default for IndexAdvisor {
107    fn default() -> Self {
108        Self::new()
109    }
110}