Struct TensorQueryOptimizer

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pub struct TensorQueryOptimizer {
    pub enabled_rules: Vec<OptimizationRule>,
    pub total_optimizations: u64,
    pub total_cost_saved: u64,
}

Expand description

Optimises TensorLogic query plans by repeatedly applying rewriting rules.

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§enabled_rules: Vec<OptimizationRule>

Ordered list of rules to apply during each pass.

§total_optimizations: u64

Cumulative count of Self::optimize invocations.

§total_cost_saved: u64

Cumulative cost units saved across all invocations.

Implementations§

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impl TensorQueryOptimizer

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pub fn new(rules: Vec<OptimizationRule>) -> Self

Create a new optimizer with the given rule set.

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pub fn optimize(&mut self, root: QueryNode) -> (QueryNode, OptimizationResult)

Optimise root, returning the new plan and an OptimizationResult.

Rules are applied in order; the process repeats until the plan is stable or 10 passes have been completed.

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pub fn stats(&self) -> OptimizerStats

Return a snapshot of lifetime statistics.

Auto Trait Implementations§

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impl UnwindSafe for TensorQueryOptimizer

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