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Plan Stitch: Harnessing the Best of Many Plans

Summary: Plan Stitch opportunistically stitches efficient subplans from past plans into a valid new plan cheaper than any single prior plan. Implemented on SQL Server; evaluated with TPC-DS and real workloads, achieving up to 100x cost reductions versus reverting to the cheapest previous plan. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11794
Venue
VLDB
Year
2018
Pagerank
5.5741093e-05
Overall Rank
7,655 | 47.49%
DOI
10.14778/3231751.3231761

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{ding_vldb18,
        title = {{Plan Stitch: Harnessing the Best of Many Plans}},
        author = {Ding, Bailu and Das, Sudipto and Wu, Wentao and Chaudhuri, Surajit and Narasayya, Vivek},
        journal = {PVLDB},
        series = {{VLDB} '18},
        volume = {11},
        number = {10},
        pages = {1123--1136},
        doi = {10.14778/3231751.3231761},
        url = {https://doi.org/10.14778/3231751.3231761},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Rank Citing Paper Year Venue Pagerank
1,279 AI Meets AI: Leveraging Query Executions to Improve Index Recommendations 2019 SIGMOD 0.00011361878
1,548 Automatically Indexing Millions of Databases in Microsoft Azure SQL Database 2019 SIGMOD 0.00010392475
2,313 Active Learning for ML Enhanced Database Systems 2020 SIGMOD 8.762627e-05
5,073 Database Workload Characterization with Query Plan Encoders 2022 VLDB 6.3751266e-05
9,441 Db2une: Tuning Under Pressure via Deep Learning 2024 VLDB 5.2678428e-05
10,081 Rethink Query Optimization in HTAP Databases 2023 SIGMOD 5.158939e-05
10,413 Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis] 2026 SIGMOD 5.093636e-05
10,815 Esc: An Early-Stopping Checker for Budget-aware Index Tuning 2025 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 22 of 22 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1 Access Path Selection in a Relational Database Management System 1979 SIGMOD 0.0024089429
18 How Good Are Query Optimizers, Really? 2016 VLDB 0.00059284255
100 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00034385207
128 Efficient and Extensible Algorithms for Multi Query Optimization 2000 SIGMOD 0.0003072825
222 Adaptive Selectivity Estimation Using Query Feedback 1994 SIGMOD 0.00024193708
365 STHoles: A Multidimensional Workload-Aware Histogram 2001 SIGMOD 0.00020041735
448 Self-tuning Histograms: Building Histograms Without Looking at Data 1999 SIGMOD 0.00018292618
559 Optimizing Queries Using Materialized Views: A Practical, Scalable Solution 2001 SIGMOD 0.00016528822
566 Towards a Robust Query Optimizer: A Principled and Practical Approach 2005 SIGMOD 0.00016436005
664 Exploiting Statistics on Query Expressions for Optimization 2002 SIGMOD 0.00015167825
682 Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques 2012 VLDB 0.00015014887
768 Automatic Physical Database Tuning: A Relaxation-based Approach 2005 SIGMOD 0.00014173242
1,256 Sampling-Based Query Re-Optimization 2016 SIGMOD 0.00011457194
1,470 Design and Analysis of Parametric Query Optimization Algorithms 1998 VLDB 0.00010676869
1,645 AniPQO: Almost Non-intrusive Parametric Query Optimization for Nonlinear Cost Functions 2003 VLDB 0.00010129244
1,771 Plan Selection based on Query Clustering 2002 VLDB 9.7942089e-05
1,997 Efficient Use of the Query Optimizer for Automated Physical Design 2007 VLDB 9.3378162e-05
2,364 To Tune or not to Tune? A Lightweight Physical Design Alerter 2006 VLDB 8.6869645e-05
2,404 Cardinality Estimation Using Sample Views with Quality Assurance 2007 SIGMOD 8.6225576e-05
4,444 Xplus: A SQL-Tuning-Aware Query Optimizer 2010 VLDB 6.6999439e-05
5,281 Leveraging Re-costing for Online Optimization of Parameterized Queries with Guarantees 2017 SIGMOD 6.2842378e-05
5,365 A Pay-As-You-Go Framework for Query Execution Feedback 2008 VLDB 6.2462467e-05
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