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SortEliminationOptimizer

linkrs_query::optimizer::cost_based::topn_optimization

Struct SortEliminationOptimizer 

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pub struct SortEliminationOptimizer { /* private fields */ }
Expand description

Sorting Elimination Optimizer

A sorting optimizer based on a cost model, which focuses on the decision-making process for converting the “Sort + Limit” operation into the retrieval of the TopN results.

Heuristic optimizations such as the elimination of index orderliness have been completed during the rewrite phase.

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impl SortEliminationOptimizer

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pub fn new(cost_calculator: Arc<CostCalculator>) -> Self

Create a new sorting and elimination optimizer

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pub fn with_topn_threshold(self, threshold: f64) -> Self

Set the TopN conversion threshold

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pub fn with_min_limit(self, min_limit: i64) -> Self

Set the minimum limit value

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pub fn optimize(&self, context: &SortContext) -> SortEliminationDecision

Optimize the sorting operation

The decision to convert from Sort + Limit to TopN is based on a cost analysis.

§Parameters

context: Sort context

§Returns

Sorting optimization decision (whether to maintain the original sorting order or convert the data into a TopN list)

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pub fn optimize_with_memory( &self, context: &SortContext, available_memory: Option<usize>, ) -> SortEliminationDecision

Optimize sorting with memory awareness

This method considers available memory when making the sort vs TopN decision. If the sort operation would require more memory than available, it forces TopN conversion.

§Parameters
  • context: Sort context
  • available_memory: Available memory in bytes (None means unlimited)
§Returns

Sorting optimization decision

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pub fn check_topn_conversion_cost( &self, sort_items: &[SortItem], limit: i64, input_rows: u64, ) -> Option<(f64, f64)>

Check whether it is possible to convert this into TopN nodes.

§Parameters
  • sort_items: Functions to sort items
  • limit: The value of the limit parameter
  • input_rows: The number of input rows
§Back
  • If conversion is possible, return (TopN cost, original sorting cost).
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pub fn get_optimization_advice(&self, context: &SortContext) -> Vec<String>

Obtain suggestions for sorting optimization

Analyze the sorting operation and provide optimization suggestions.

Trait Implementations§

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impl Debug for SortEliminationOptimizer

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more

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