Massive Stochastic Testing of SQL
Summary: RAGS stochastically generates valid SQL statements to stress-test DBMSs, greatly expanding the SQL input domain beyond manual testing. It achieves a million-fold speedup over human generation and execution, enabling scalable, massive workload-based reliability evaluation. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Don Slutz
Incoming Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,887 | SQLStorm: Taking Database Benchmarking into the LLM Era | 2025 | VLDB | 4.6218382e-05 |
| 145 | Quickly Generating Billion-Record Synthetic Databases | 1994 | SIGMOD | 0.00041403894 |
| 5,363 | An In-Depth Benchmarking of Text-to-SQL Systems | 2021 | SIGMOD | 5.5467941e-05 |
| 11,580 | RASQL: A Powerful Language and its System for Big Data Applications | 2020 | SIGMOD | 4.1905499e-05 |
| 2,280 | Generating Targeted Queries for Database Testing | 2008 | SIGMOD | 9.1247368e-05 |
| 8,700 | Stochastic Package Queries in Probabilistic Databases | 2020 | SIGMOD | 4.4603778e-05 |
| 882 | QAGen: Generating Query-Aware Test Databases | 2007 | SIGMOD | 0.00015634206 |
| 3,563 | Counting, Enumerating, and Sampling of Execution Plans in a Cost-Based Query Optimizer | 2000 | SIGMOD | 6.9686532e-05 |
| 10,118 | Test Data Generation for Complex SQL Queries | 2026 | SIGMOD | 4.1905499e-05 |
| 4,640 | A genetic approach for random testing of database systems | 2007 | VLDB | 6.0226611e-05 |