DBScholar

Back to papers

An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server

Summary: Industrial-strength SQL Server index advisor that stays synchronized with the optimizer for cost-driven workload tuning. Prunes syntactically/cost-inferior candidates, accelerates index-set evaluation, and iteratively handles multicolumn indexes, achieving near-optimal choices efficiently. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
8606
Venue
VLDB
Year
1997
Pagerank
0.00028636811
Overall Rank
156 | 98.94%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{chaudhuri_vldb97,
        title = {{An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server}},
        author = {Chaudhuri, Surajit and Narasayya, Vivek},
        journal = {PVLDB},
        series = {{VLDB} '97},
        pages = {146},
        year = {1997}
}

Incoming Citations (Sorted by Pagerank)

Showing 50 of 115 citing papers.

Rank Citing Paper Year Venue Pagerank
4,101 Automated Generation of Materialized Views in Oracle 2020 VLDB 6.9009734e-05
4,217 The Case for a Wide-Table Approach to Manage Sparse Relational Data Sets 2007 SIGMOD 6.8269451e-05
4,468 One Model to Rule them All: Towards Zero-Shot Learning for Databases 2022 CIDR 6.6819041e-05
4,489 COLT: Continuous On-Line Database Tuning 2006 SIGMOD 6.6675192e-05
4,550 Index Interactions in Physical Design Tuning: Modeling, Analysis, and Applications 2009 VLDB 6.635765e-05
4,637 Columnstore and B+ tree – Are Hybrid Physical Designs Important? 2018 SIGMOD 6.592197e-05
4,826 Design Tradeoffs of Data Access Methods 2016 SIGMOD 6.4904836e-05
5,039 Holistic Indexing in Main-memory Column-stores 2015 SIGMOD 6.3909067e-05
5,091 Budget-aware Index Tuning with Reinforcement Learning 2022 SIGMOD 6.3669569e-05
5,176 Predicting Cost Amortization for Query Services 2011 SIGMOD 6.3326746e-05
5,307 Materialized View and Index Selection Tool for Microsoft SQL Server 2000 2001 SIGMOD 6.2728074e-05
5,359 QUIET: Continuous Query-driven Index Tuning 2003 VLDB 6.2492097e-05
5,558 HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning 2023 VLDB 6.1749098e-05
5,573 Eraser: Eliminating Performance Regression on Learned Query Optimizer 2024 VLDB 6.1682747e-05
5,755 Compression Aware Physical Database Design 2011 VLDB 6.0974171e-05
5,766 Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty 2022 VLDB 6.094771e-05
5,767 A Comparative Study and Component Analysis of Query Plan Representation Techniques in ML4DB Studies 2024 VLDB 6.0945741e-05
5,869 ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning 2022 SIGMOD 6.0610922e-05
5,974 Towards instance-optimized data systems 2021 VLDB 6.0230488e-05
5,978 From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems 2019 SIGMOD 6.0212877e-05
6,042 Pando: Enhanced Data Skipping with Logical Data Partitioning 2023 VLDB 5.9970052e-05
6,045 Helios: Hyperscale Indexing for the Cloud & Edge 2020 VLDB 5.9957544e-05
6,327 Breaking It Down: An In-depth Study of Index Advisors 2024 VLDB 5.9124005e-05
6,434 Yannakakis+: Practical Acyclic Query Evaluation with Theoretical Guarantees 2025 SIGMOD 5.8799421e-05
6,462 PilotScope: Steering Databases with Machine Learning Drivers 2024 VLDB 5.8717744e-05
6,600 A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning 2023 SIGMOD 5.8250114e-05
6,651 Progressive Indexes: Indexing for Interactive Data Analysis 2019 VLDB 5.8141997e-05
6,670 Replicated Layout for In-Memory Database Systems 2022 VLDB 5.8074043e-05
6,753 Optimal Indexing Using Near-Minimal Space [Extended Abstract] 2003 PODS 5.7836523e-05
6,939 Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities 2022 SIGMOD 5.7338637e-05
7,076 Refactoring Index Tuning Process with Benefit Estimation 2024 VLDB 5.7098893e-05
7,750 DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning 2022 VLDB 5.5523652e-05
7,917 ESDB: Processing Extremely Skewed Workloads in Real-time 2022 SIGMOD 5.5181056e-05
8,076 Leveraging Dynamic and Heterogeneous Workload Knowledge to Boost the Performance of Index Advisors 2024 VLDB 5.4927414e-05
8,452 A Storage Advisor for Hybrid-Store Databases 2012 VLDB 5.4230061e-05
8,583 Query Log Compression for Workload Analytics 2019 VLDB 5.4079618e-05
8,591 A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach 2025 SIGMOD 5.4059856e-05
8,601 Goals and Benchmarks for Autonomic Configuration Recommenders 2005 SIGMOD 5.4048965e-05
8,703 Divergent Physical Design Tuning for Replicated Databases 2012 SIGMOD 5.3813751e-05
8,927 Hyperspace: The Indexing Subsystem of Azure Synapse 2021 VLDB 5.3483178e-05
8,982 Automatic Index Selection for Large-Scale Datalog Computation 2019 VLDB 5.3397715e-05
8,984 Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems 2024 VLDB 5.3395569e-05
9,490 Robustness of Updatable Learning-based Index Advisors against Poisoning Attack 2024 SIGMOD 5.2629522e-05
9,598 Online Optimization and Fair Costing for Dynamic Data Sharing in a Cloud Data Market 2014 SIGMOD 5.2494989e-05
9,615 Wii: Dynamic Budget Reallocation In Index Tuning 2024 SIGMOD 5.2436464e-05
9,775 Twisted Twin: A Collaborative and Competitive Memory Management Approach in HTAP Systems 2025 VLDB 5.2209769e-05
9,966 Generating Application-Specific Data Layouts for In-memory Databases 2019 VLDB 5.1870939e-05
10,082 Wred: Workload Reduction for Scalable Index Tuning 2024 SIGMOD 5.1587525e-05
10,327 Rainbow: Risk-aware Index Benefit Estimation Facing Out Of Distribution Workloads 2026 SIGMOD 5.093636e-05
10,413 Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis] 2026 SIGMOD 5.093636e-05
Previous Page 2 / 3 Next

Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers