Source code for system.query_optimization.cost_function

#
#    This is ExplainDB, educational database systems materials.
#
#    Copyright (C) 2026 Prof. Dr. Jens Dittrich, Saarland University
#
#    This program is free software: you can redistribute it and/or modify
#    it under the terms of the GNU Affero General Public License as
#    published by the Free Software Foundation, either version 3 of the
#    License, or (at your option) any later version.
#
#    This program is distributed in the hope that it will be useful,
#    but WITHOUT ANY WARRANTY; without even the implied warranty of
#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
#    GNU Affero General Public License for more details.
#
#    You should have received a copy of the GNU Affero General Public License
#    along with this program.  If not, see <https://www.gnu.org/licenses/>.
#
#

"""The classic C_out join cost function implementation."""

from __future__ import annotations

from system.interfaces.cost_functions import CostFunction
from system.interfaces.query_optimization.planning import PlanTable
from system.query_optimization.problems import Problem
from system.query_optimization.cardinality_table import CardinalityTable


[docs] class C_Out(CostFunction): """ Implements the classic cost function C_out. """
[docs] def estimate_join_costs( self, left: Problem, right: Problem, cardinality_table: CardinalityTable, plan_table: PlanTable, ) -> int: """See :meth:`CostFunction.estimate_join_costs`. C_out variant: the join cost is the estimated output cardinality of the join plus the costs already accumulated for the left and right sub-problems. """ return ( cardinality_table.estimate_join_cardinality(left, right) + plan_table.get_costs_for_problem(left) + plan_table.get_costs_for_problem(right) )
[docs] def estimate_filter_costs( self, problem: Problem, cardinality_table: CardinalityTable, ) -> int: """See :meth:`CostFunction.estimate_filter_costs`. C_out variant: the filter cost is the estimated cardinality of the (singleton) problem. """ return cardinality_table.get_cardinality_estimation(problem)