| 57 |
On Random Sampling over Joins |
1999 |
SIGMOD |
90 |
0.0003999751 |
| 89 |
Automated Selection of Materialized Views and Indexes for SQL Databases |
2000 |
VLDB |
129 |
0.00035265687 |
| 151 |
An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server |
1997 |
VLDB |
120 |
0.00028611216 |
| 196 |
Integrating Vertical and Horizontal Partitioning into Automated Physical Database Design |
2004 |
SIGMOD |
64 |
0.00025581936 |
| 296 |
Towards Estimation Error Guarantees for Distinct Values |
2000 |
PODS |
59 |
0.00021874894 |
| 380 |
AutoAdmin "What-if" Index Analysis Utility |
1998 |
SIGMOD |
75 |
0.00019530546 |
| 493 |
Database Tuning Advisor for Microsoft SQL Server 2005 |
2004 |
VLDB |
67 |
0.0001735831 |
| 518 |
Random Sampling for Histogram Construction: How much is enough? |
1998 |
SIGMOD |
41 |
0.00016918797 |
| 676 |
Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques |
2012 |
VLDB |
46 |
0.00014838681 |
| 690 |
Selectivity Estimation for Range Predicates using Lightweight Models |
2019 |
VLDB |
83 |
0.00014703258 |
| 1,048 |
Accelerating Relational Databases by Leveraging Remote Memory and RDMA |
2016 |
SIGMOD |
29 |
0.00012302514 |
| 1,058 |
Automated Demand-driven Resource Scaling in Relational Database-as-a-Service |
2016 |
SIGMOD |
28 |
0.00012225863 |
| 1,246 |
Compressing SQL Workloads |
2002 |
SIGMOD |
24 |
0.00011355447 |
| 1,282 |
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations |
2019 |
SIGMOD |
59 |
0.00011197535 |
| 1,345 |
SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service |
2013 |
CIDR |
32 |
0.00010952015 |
| 1,513 |
DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems |
2021 |
VLDB |
52 |
0.00010394557 |
| 1,517 |
Automatically Indexing Millions of Databases in Microsoft Azure SQL Database |
2019 |
SIGMOD |
40 |
0.00010385462 |
| 1,587 |
Estimating Progress of Execution for SQL Queries |
2004 |
SIGMOD |
18 |
0.00010119368 |
| 1,916 |
Microsoft Index Tuning Wizard for SQL Server 7.0 |
1998 |
SIGMOD |
8 |
9.3655818e-05 |
| 2,295 |
CPU Sharing Techniques for Performance Isolation in Multi-tenant Relational Database-as-a-Service |
2014 |
VLDB |
22 |
8.677224e-05 |
| 2,661 |
A Robust, Optimization-Based Approach for Approximate Answering of Aggregate Queries |
2001 |
SIGMOD |
21 |
8.1414177e-05 |
| 2,746 |
Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations |
2018 |
VLDB |
21 |
8.0458815e-05 |
| 2,784 |
Automatic Physical Design Tuning: Workload as a Sequence |
2006 |
SIGMOD |
11 |
8.0021123e-05 |
| 3,005 |
Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service |
2015 |
VLDB |
16 |
7.7460817e-05 |
| 3,212 |
Efficiently Approximating Selectivity Functions using Low Overhead Regression Models |
2020 |
VLDB |
24 |
7.5145409e-05 |
| 3,361 |
Exact Cardinality Query Optimization for Optimizer Testing |
2009 |
VLDB |
8 |
7.3621595e-05 |
| 3,406 |
Variance Aware Optimization of Parameterized Queries |
2010 |
SIGMOD |
18 |
7.3151509e-05 |
| 3,852 |
Database Tuning Advisor for Microsoft SQL Server 2005: Demo |
2005 |
SIGMOD |
9 |
6.9614927e-05 |
| 4,268 |
Primitives for Workload Summarization and Implications for SQL |
2003 |
VLDB |
7 |
6.6784565e-05 |
| 4,415 |
Bitvector-aware Query Optimization for Decision Support Queries |
2020 |
SIGMOD |
13 |
6.5965677e-05 |
| 4,701 |
Columnstore and B+ tree – Are Hybrid Physical Designs Important? |
2018 |
SIGMOD |
10 |
6.44638e-05 |
| 4,898 |
Solver-In-The-Loop Cluster Resource Management for Database-as-a-Service |
2023 |
VLDB |
6 |
6.3489037e-05 |
| 4,990 |
Budget-aware Index Tuning with Reinforcement Learning |
2022 |
SIGMOD |
21 |
6.3120056e-05 |
| 5,044 |
Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server |
2023 |
VLDB |
13 |
6.2888728e-05 |
| 5,062 |
Leveraging Query Logs and Machine Learning for Parametric Query Optimization |
2022 |
VLDB |
14 |
6.2791511e-05 |
| 5,101 |
Leveraging Re-costing for Online Optimization of Parameterized Queries with Guarantees |
2017 |
SIGMOD |
14 |
6.2623728e-05 |
| 5,132 |
Efficient Estimation of Inclusion Coefficient using HyperLogLog Sketches |
2018 |
VLDB |
5 |
6.2462533e-05 |
| 5,145 |
Fast Foreign-Key Detection in Microsoft SQL Server PowerPivot for Excel |
2014 |
VLDB |
9 |
6.2410756e-05 |
| 5,413 |
Flexible Resource Allocation for Relational Database-as-a-Service |
2023 |
VLDB |
8 |
6.1283496e-05 |
| 5,450 |
Materialized View and Index Selection Tool for Microsoft SQL Server 2000 |
2001 |
SIGMOD |
7 |
6.1103095e-05 |
| 5,490 |
A Pay-As-You-Go Framework for Query Execution Feedback |
2008 |
VLDB |
10 |
6.0970166e-05 |
| 5,598 |
Efficient Computation of Multiple Group By Queries |
2005 |
SIGMOD |
6 |
6.053914e-05 |
| 5,645 |
ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning |
2022 |
SIGMOD |
16 |
6.0354456e-05 |
| 5,850 |
Tenant Placement in Over-subscribed Database-as-a-Service Clusters |
2022 |
VLDB |
8 |
5.9528821e-05 |
| 5,866 |
Compression Aware Physical Database Design |
2011 |
VLDB |
8 |
5.9492579e-05 |
| 6,243 |
Operator and Query Progress Estimation in Microsoft SQL Server Live Query Statistics |
2016 |
SIGMOD |
4 |
5.8220831e-05 |
| 6,470 |
A Statistical Approach Towards Robust Progress Estimation |
2012 |
VLDB |
5 |
5.7564896e-05 |
| 6,768 |
Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities |
2022 |
SIGMOD |
7 |
5.6693759e-05 |
| 7,094 |
Plan Stitch: Harnessing the Best of Many Plans |
2018 |
VLDB |
10 |
5.5863735e-05 |
| 7,170 |
Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel |
2018 |
SIGMOD |
9 |
5.5784388e-05 |
| 7,900 |
Data Cleaning in Microsoft SQL Server 2005 |
2005 |
SIGMOD |
3 |
5.4139981e-05 |
| 7,921 |
DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning |
2022 |
VLDB |
12 |
5.4098206e-05 |
| 8,241 |
Customizable and Scalable Fuzzy Join for Big Data |
2019 |
VLDB |
3 |
5.3560963e-05 |
| 8,341 |
A Demonstration of SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service |
2013 |
SIGMOD |
2 |
5.3347036e-05 |
| 8,812 |
Automatic Workload Driven Index Defragmentation |
2011 |
VLDB |
2 |
5.25724e-05 |
| 9,117 |
Hyperspace: The Indexing Subsystem of Azure Synapse |
2021 |
VLDB |
1 |
5.208561e-05 |
| 9,754 |
Leveraging Query Optimizers to Verify the Soundness of LLM-based Query Rewrites for Real-World Workloads, and More! |
2026 |
CIDR |
3 |
5.115551e-05 |
| 9,829 |
Wii: Dynamic Budget Reallocation In Index Tuning |
2024 |
SIGMOD |
7 |
5.1066866e-05 |
| 9,983 |
Wred: Workload Reduction for Scalable Index Tuning |
2024 |
SIGMOD |
6 |
5.0860177e-05 |
| 10,225 |
COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics |
2021 |
VLDB |
2 |
5.0460607e-05 |
| 10,676 |
Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis] |
2026 |
SIGMOD |
1 |
4.9605343e-05 |
| 10,982 |
Tuning the Lookahead Distance for PostgreSQL Asynchronous IO |
2026 |
VLDB |
0 |
4.9605343e-05 |
| 10,988 |
Evaluating the Practical Effectiveness of LLM-Driven Index Tuning on Microsoft SQL Server |
2026 |
VLDB |
0 |
4.9605343e-05 |
| 11,041 |
Verified LLM-Based Query Rewriting for Microsoft SQL Server |
2026 |
VLDB |
0 |
4.9605343e-05 |
| 11,288 |
Esc: An Early-Stopping Checker for Budget-aware Index Tuning |
2025 |
VLDB |
4 |
4.9605343e-05 |
| 11,718 |
Cache-Efficient Top-k Aggregation over High Cardinality Large Datasets |
2024 |
VLDB |
0 |
4.9605343e-05 |
| 11,925 |
PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication |
2022 |
VLDB |
0 |
4.9605343e-05 |
| 12,813 |
Slicing Long-Running Queries |
2010 |
VLDB |
0 |
4.9605343e-05 |
| 12,835 |
A Framework for Testing Query Transformation Rules |
2009 |
SIGMOD |
0 |
4.9605343e-05 |
| 12,993 |
Bridging the Application and DBMS Profiling Divide for Database Application Developers |
2007 |
VLDB |
1 |
4.9605343e-05 |
| 14,053 |
New Frontiers in Business Intelligence |
2011 |
VLDB |
0 |
- |
| 14,092 |
Bridging the Application and DBMS Divide Using Static Analysis and Dynamic Profiling |
2009 |
SIGMOD |
0 |
- |