pub struct IndexSelectionRule {}
Implementations§
source§impl IndexSelectionRule
impl IndexSelectionRule
fn gen_index_lookup( &self, logical_scan: &LogicalScan, index: &IndexCatalog, ) -> (PlanRef, IndexCost)
sourcefn index_merge_selection(
&self,
logical_scan: &LogicalScan,
) -> Option<(PlanRef, IndexCost)>
fn index_merge_selection( &self, logical_scan: &LogicalScan, ) -> Option<(PlanRef, IndexCost)>
Index Merge Selection Deal with predicate like a = 1 or b = 1 Merge index scans from a table, currently merge is union semantic.
sourcefn gen_paths(
&self,
conjunctions: &[ExprImpl],
logical_scan: &LogicalScan,
primary_table_row_size: usize,
) -> Vec<PlanRef>
fn gen_paths( &self, conjunctions: &[ExprImpl], logical_scan: &LogicalScan, primary_table_row_size: usize, ) -> Vec<PlanRef>
Generate possible paths that can be used to access.
The schema of output is the order key of primary table, so it can be used to lookup primary
table later.
Method gen_paths
handles the complex condition recursively which may contains nested AND
and OR
. However, Method gen_index_path
handles one arm of an OR clause which is a
basic unit for index selection.
sourcefn clustering_disjunction(
&self,
disjunctions: Vec<ExprImpl>,
) -> (HashMap<usize, ExprImpl>, Vec<ExprImpl>)
fn clustering_disjunction( &self, disjunctions: Vec<ExprImpl>, ) -> (HashMap<usize, ExprImpl>, Vec<ExprImpl>)
Clustering disjunction or expr by column index. If expr is complex, classify them as others.
a = 1, b = 2, b = 3 -> map: [a, (a = 1)], [b, (b = 2 or b = 3)], others: []
a = 1, (b = 2 and c = 3) -> map: [a, (a = 1)], others:
(a > 1 and a < 8) or (c > 1 and c < 8) -> map: [], others: [(a > 1 and a < 8), (c > 1 and c < 8)]
sourcefn gen_index_path(
&self,
column_index: Option<usize>,
conjunctions: &[ExprImpl],
logical_scan: &LogicalScan,
) -> Vec<PlanRef>
fn gen_index_path( &self, column_index: Option<usize>, conjunctions: &[ExprImpl], logical_scan: &LogicalScan, ) -> Vec<PlanRef>
Given a conjunctions from one arm of an OR clause (basic unit to index selection), generate
all matching index path (including primary index) for the relation.
column_index
(refers to primary table) is a hint can be used to prune index.
Steps:
- Take the combination of
conjunctions
to extract the potential clauses. - For each potential clauses, generate index path if it can.
sourcefn build_index_access(
&self,
index: Rc<IndexCatalog>,
predicate: Condition,
ctx: OptimizerContextRef,
as_of: Option<AsOf>,
) -> Option<PlanRef>
fn build_index_access( &self, index: Rc<IndexCatalog>, predicate: Condition, ctx: OptimizerContextRef, as_of: Option<AsOf>, ) -> Option<PlanRef>
build index access if predicate (refers to primary table) is covered by index
fn merge(&self, paths: Vec<PlanRef>) -> Option<PlanRef>
fn choose_min_cost_path( &self, paths: &[PlanRef], primary_table_row_size: usize, ) -> Option<(PlanRef, IndexCost)>
fn estimate_table_scan_cost( &self, scan: &LogicalScan, row_size: usize, ) -> IndexCost
fn estimate_full_table_scan_cost( &self, scan: &LogicalScan, row_size: usize, ) -> IndexCost
fn create_null_safe_equal_expr( left: usize, left_data_type: DataType, right: usize, right_data_type: DataType, ) -> ExprImpl
source§impl IndexSelectionRule
impl IndexSelectionRule
pub fn create() -> Box<dyn FallibleRule>
Trait Implementations§
source§impl Description for IndexSelectionRule
impl Description for IndexSelectionRule
fn description(&self) -> &str
Auto Trait Implementations§
impl Freeze for IndexSelectionRule
impl RefUnwindSafe for IndexSelectionRule
impl Send for IndexSelectionRule
impl Sync for IndexSelectionRule
impl Unpin for IndexSelectionRule
impl UnwindSafe for IndexSelectionRule
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