3 citations · 6 across the 6 of their papers we have counts for
7 papers · 1 filter
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…
MINT: Multi-Vector Search Index Tuning
Jiongli Zhu, Yue Wang, Bailu Ding +3
Vector search plays a crucial role in many real-world applications. In addition to single-vector search, multi-vector search becomes important for multi-modal and multi-feature sce…
COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics
Tarique Siddiqui, Surajit Chaudhuri, Vivek Narasayya
Data analysis often involves comparing subsets of data across many dimensions for finding unusual trends and patterns. While the comparison between subsets of data can be expressed…
Bitvector-aware Query Optimization for Decision Support Queries (extended version)
Bailu Ding, Surajit Chaudhuri, Vivek Narasayya
Bitvector filtering is an important query processing technique that can significantly reduce the cost of execution, especially for complex decision support queries with multiple jo…