Selinger's algorithm

GPTKB entity

Statements (51)
Predicate Object
gptkbp:instance_of gptkb:Artificial_Intelligence
gptkbp:adapted_into distributed databases
gptkbp:aims_to minimize execution time
gptkbp:applies_to relational databases
gptkbp:can_be_used_with cost models
gptkbp:dependency cardinality estimates
gptkbp:developed_by Michael Selinger
gptkbp:evaluates access paths
gptkbp:has multiple variations
https://www.w3.org/2000/01/rdf-schema#label Selinger's algorithm
gptkbp:improves query execution plans
gptkbp:influenced_by Heuristic optimization techniques
gptkbp:introduced_in 1970s
gptkbp:is_analyzed_in research studies
gptkbp:is_associated_with query rewriting
gptkbp:is_based_on dynamic programming
gptkbp:is_challenged_by complex queries
data volatility
gptkbp:is_compared_to rule-based optimization
gptkbp:is_considered a foundational technique
join order
gptkbp:is_critical_for large-scale data processing
gptkbp:is_documented_in academic papers
gptkbp:is_enhanced_by machine learning techniques
user-defined functions
gptkbp:is_evaluated_by performance metrics
benchmark tests
other optimization algorithms
gptkbp:is_implemented_in various database systems
commercial database systems
gptkbp:is_influenced_by database theory
gptkbp:is_integrated_with database management tools
gptkbp:is_maintained_by user feedback
gptkbp:is_optimized_for SQL queries
gptkbp:is_part_of database management systems
modern database systems
query optimization strategies
gptkbp:is_recognized_as a significant contribution
gptkbp:is_related_to query planning
gptkbp:is_supported_by database vendors
gptkbp:is_taught_in database courses
gptkbp:is_tested_for real-world applications
gptkbp:is_used_in data warehousing
gptkbp:is_used_to reduce resource consumption
gptkbp:is_utilized_for data retrieval
gptkbp:requires statistical information
gptkbp:supports parallel query execution
gptkbp:used_for query optimization
gptkbp:utilizes cost-based optimization
gptkbp:bfsParent gptkb:Patricia_G._Selinger
gptkbp:bfsLayer 7