Struct AdaptiveQueryOptimizer 

pub struct AdaptiveQueryOptimizer { /* private fields */ }

Adaptive query optimizer that learns from execution feedback.

Uses a RuntimeFeedbackStore to guide pattern ordering decisions.

Implementations

impl AdaptiveQueryOptimizer

pub fn new() -> Self

Create a new optimizer with default (empty) feedback.

pub fn with_feedback(feedback: RuntimeFeedbackStore) -> Self

Create an optimizer pre-loaded with the given feedback store.

pub fn set_base_selectivity( &mut self, pattern: impl Into<String>, selectivity: f64, )

Set a static base selectivity for a pattern (used as fallback).

pub fn optimize_join_order(&self, patterns: &[String]) -> Vec<String>

Sort patterns by their estimated selectivity (ascending).

Patterns with lower estimated selectivity are placed first so the query executor processes the most restrictive filters early.

pub fn feedback(&self) -> &RuntimeFeedbackStore

Immutable access to the underlying feedback store.

pub fn feedback_mut(&mut self) -> &mut RuntimeFeedbackStore

Mutable access to the underlying feedback store.

pub fn record_execution(&mut self, query_hash: u64, stats: QueryStats)

Record an execution result, forwarding it to the feedback store.

pub fn hash_query(query_str: &str) -> u64

Compute a 64-bit hash for an arbitrary query string using the djb2 algorithm, suitable for use as a cache/feedback key.

pub fn estimate_cardinality(&self, pattern: &str, base_estimate: usize) -> usize

Estimate the cardinality of a pattern using feedback data.

Trait Implementations

impl Default for AdaptiveQueryOptimizer

fn default() -> Self

Returns the “default value” for a type.