1 citations · 1 across the 3 of their papers we have counts for
4 papers
Query Performance Tuning with Optimal Exploration of Optimizer Cost Model Parameter Space
Wentao Wu, Xiaoying Wang, Vivek Narasayya +1
Modern query optimizers use analytical cost models to estimate the cost of a given query plan. Such cost models are typically functions of a set of "cost units" that specify unit C…
Evaluating the Practical Effectiveness of LLM-Driven Index Tuning on Microsoft SQL Server
Xiaoying Wang, Wentao Wu, Vivek Narasayya +1
Indexes are crucial for database performance. Index tuning, i.e., selecting appropriate indexes for a database workload, is an important problem. The state-of-the-art index tuning…
Esc: An Early-stopping Checker for Budget-aware Index Tuning
Xiaoying Wang, Wentao Wu, Vivek Narasayya +1
Index tuning is a time-consuming process. One major performance bottleneck in existing index tuning systems is the large amount of "what-if" query optimizer calls that estimate the…
Wii: Dynamic Budget Reallocation In Index Tuning
Xiaoying Wang, Wentao Wu, Chi Wang +2
Index tuning aims to find the optimal index configuration for an input workload. It is often a time-consuming and resource-intensive process, largely attributed to the huge amount…