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SRS: Detecting Logic Bugs of Join Implementation in DBMSs via Set Relation Synthesis

Summary: SRS: a black-box tester that synthesizes transformed join queries (modifying join types, order, and conditions) to enforce set-relations between original and transformed outputs, flagging violations as logic-bug evidence in join implementations beyond optimizer choices. Applied to MySQL, MariaDB, TiDB, PostgreSQL and DuckDB, SRS uncovered 36 unique bugs (33 logic bugs), 12 already fixed, demonstrating practical effectiveness. (summarized by gpt-5-mini on Feb 11 2026)

Paper ID
7425
Venue
SIGMOD
Year
2026
Pagerank
4.1905499e-05
Overall Rank
10,114 | 29.71%
DOI
10.1145/3769828

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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
145 Quickly Generating Billion-Record Synthetic Databases 1994 SIGMOD 0.00041403894
405 Massive Stochastic Testing of SQL 1998 VLDB 0.00024046204
882 QAGen: Generating Query-Aware Test Databases 2007 SIGMOD 0.00015634206
933 Flexible Database Generators 2005 VLDB 0.00015220613
2,657 Detecting Logic Bugs of Join Optimizations in DBMS 2023 SIGMOD 8.3636172e-05
2,899 APOLLO: Automatic Detection and Diagnosis of Performance Regressions in Database Systems 2020 VLDB 7.9478977e-05
4,999 Keep It Simple: Testing Databases via Differential Query Plans 2024 SIGMOD 5.7638722e-05
8,273 Constant Optimization Driven Database System Testing 2025 SIGMOD 4.5392079e-05
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