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PGMJoins: Random Join Sampling with Graphical Models

Summary: PGMJoins uses probabilistic graphical models to derive provably uniform samples of join results (n-way key-joins, many-to-many, cyclic/acyclic). Introduces SP-MPA for efficient uniform sampling of the true joint distribution and optimizes graph structure and inference, achieving 2x–28x speedups on TPC-H, JOB, TPC-DS, and Twitter versus prior work. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6193
Venue
SIGMOD
Year
2021
Pagerank
5.2547498e-05
Overall Rank
5,952 | 58.64%
DOI
10.1145/3448016.3457302

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Showing 9 of 9 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 18 of 18 cited papers.

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

Rank Cited Paper Year Venue Pagerank
18 On Random Sampling over Joins 1999 SIGMOD 0.00092569117
71 How Good Are Query Optimizers, Really? 2016 VLDB 0.00059446482
212 Join Synopses for Approximate Query Answering 1999 SIGMOD 0.00033997204
216 Ripple Joins for Online Aggregation 1999 SIGMOD 0.00033560137
606 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00019251186
832 Learning Linear Regression Models over Factorized Joins 2016 SIGMOD 0.00016089705
905 NeuroCard: One Cardinality Estimator for All Tables 2021 VLDB 0.00015423174
941 Wander Join: Online Aggregation via Random Walks 2016 SIGMOD 0.00015147831
974 BayesStore: Managing Large, Uncertain Data Repositories with Probabilistic Graphical Models 2008 VLDB 0.00014882804
1,161 VerdictDB: Universalizing Approximate Query Processing 2018 SIGMOD 0.00013579831
1,172 Learning Generalized Linear Models Over Normalized Data 2015 SIGMOD 0.00013504249
1,372 Random Sampling over Joins Revisited 2018 SIGMOD 0.0001233325
1,425 Scalable Approximate Query Processing With The DBO Engine 2007 SIGMOD 0.00012044433
1,536 Lightweight Graphical Models for Selectivity Estimation Without Independence Assumptions 2011 VLDB 0.00011458359
2,494 DBEst: Revisiting Approximate Query Processing Engines with Machine Learning Models 2019 SIGMOD 8.6457436e-05
2,589 Database Learning: Toward a Database that Becomes Smarter Every Time 2017 SIGMOD 8.4868591e-05
2,779 Hashed Samples: Selectivity Estimators For Set Similarity Selection Queries 2008 VLDB 8.1314377e-05
5,799 Learned Approximate Query Processing: Make it Light, Accurate and Fast 2021 CIDR 5.3219666e-05
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