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Weighted Hypertree Decompositions and Optimal Query Plans

Summary: Weighted hypertree decompositions: hypertree decompositions annotated with cost functions to combine structural and quantitative information (cardinalities/selectivities); minimal-weight decompositions are generally intractable but become polynomial-time (and sometimes parallel) under mild cost/target-tree restrictions. Use a query-cost function to derive optimal logical query plans and show experiments where this hybrid optimizer outperforms a commercial DBMS on large multi-join queries. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1323
Venue
PODS
Year
2004
Pagerank
0.00014492414
Overall Rank
1,038 | 92.79%
DOI
-

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
297 Complexity of Answering Queries Using Materialized Views 1998 PODS 0.00028596715
325 The History of Histograms (abridged) 2003 VLDB 0.00027378328
407 Conjunctive-Query Containment and Constraint Satisfaction 1998 PODS 0.00024004562
431 On the Complexity of Database Queries (Extended Abstract) 1997 PODS 0.00023370207
4,977 Constraint Satisfaction and Database Theory: a Tutorial 2000 PODS 5.7881576e-05
5,553 On the Complexity of Join Predicates 2001 PODS 5.439162e-05
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