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A Comparative Study and Component Analysis of Query Plan Representation Techniques in ML4DB Studies

Summary: Benchmarks 10 query-plan representations across cost estimation, index selection, and query optimization, testing cross-task transferability. Component analysis reveals error-metric-dependent effects and challenges assumptions about tree-model importance. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h20bf28e1c791d4a5
Venue
VLDB
Year
2024
Pagerank
6.1125124e-05
Overall Rank
5,481 | 63.15%
DOI
10.14778/3636218.3636235

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zhao_vldb24,
        title = {{A Comparative Study and Component Analysis of Query Plan Representation Techniques in ML4DB Studies}},
        author = {Zhao, Yue and Li, Zhaodonghui and Cong, Gao},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {4},
        pages = {823--835},
        doi = {10.14778/3636218.3636235},
        url = {https://doi.org/10.14778/3636218.3636235},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 13 of 13 citing papers.

Rank Citing Paper Year Venue Pagerank
2,039 LLM-R^2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency 2025 VLDB 9.1493268e-05
4,385 R-Bot: An LLM-based Query Rewrite System 2025 VLDB 6.6235293e-05
5,683 How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks 2025 SIGMOD 6.0392183e-05
9,133 Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems 2024 VLDB 5.2229655e-05
9,956 Graph Transformers for Query Plan Representation: Potentials and Challenges 2025 VLDB 5.1038322e-05
10,412 Are Learned DBMS Components Robust to Workload Drift?: [Experiments & Analysis] 2026 SIGMOD 4.9793485e-05
10,681 RIB: Robust Learning-based Index Benefit Estimation 2026 SIGMOD 4.9793485e-05
10,693 Practical Parameterized Query Optimization via Efficient Plan Reuse and List-wise Ranking 2026 SIGMOD 4.9793485e-05
10,735 AQD: Online Adaptive Query Dispatcher for HTAP Databases 2026 VLDB 4.9793485e-05
10,919 ScaleSense: Cost-Intelligent Scaling Framework via Learned Resource Estimation in Alibaba AnalyticDB 2026 VLDB 4.9793485e-05
10,924 TATA: An Efficient Framework for Task Transfer in Query Plan Representation 2026 VLDB 4.9793485e-05
11,238 PlanRGCN: Predicting SPARQL Query Performance 2025 VLDB 4.9793485e-05
11,443 LEAP: A Low-cost Spark SQL Query Optimizer using Pairwise Comparison 2025 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 24 of 24 cited papers.

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

Rank Cited Paper Year Venue Pagerank
15 How Good Are Query Optimizers, Really? 2016 VLDB 0.00061066921
85 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035864347
88 Automated Selection of Materialized Views and Indexes for SQL Databases 2000 VLDB 0.00035351639
123 Schism: a Workload-Driven Approach to Database Replication and Partitioning 2010 VLDB 0.00030762995
145 Neo: A Learned Query Optimizer 2019 VLDB 0.0002908188
151 An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server 1997 VLDB 0.00028672526
272 An Overview of Query Optimization in Relational Systems 1998 PODS 0.00022509573
362 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00019989474
378 AutoAdmin "What-if" Index Analysis Utility 1998 SIGMOD 0.00019549382
461 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.00017829982
479 The Making of TPC-DS 2006 VLDB 0.00017622471
560 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.00016403151
982 Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation 2022 VLDB 0.00012714044
1,064 Are We Ready For Learned Cardinality Estimation? 2021 VLDB 0.00012202282
1,279 AI Meets AI: Leveraging Query Executions to Improve Index Recommendations 2019 SIGMOD 0.00011226878
1,397 Magic mirror in my hand, which is the best in the land? An Experimental Evaluation of Index Selection Algorithms 2020 VLDB 0.00010789242
2,250 QueryFormer: A Tree Transformer Model for Query Plan Representation 2022 VLDB 8.7533306e-05
2,342 Learned Cardinality Estimation: An In-depth Study 2022 SIGMOD 8.6060437e-05
2,522 Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation 2022 VLDB 8.3477168e-05
3,562 Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning 2021 VLDB 7.2046519e-05
3,978 Efficient Deep Learning Pipelines for Accurate Cost Estimations Over Large Scale Query Workload 2021 SIGMOD 6.8807882e-05
4,538 One Model to Rule them All: Towards Zero-Shot Learning for Databases 2022 CIDR 6.553705e-05
5,194 Database Workload Characterization with Query Plan Encoders 2022 VLDB 6.2353557e-05
6,416 A Unified Transferable Model for ML-Enhanced DBMS 2022 CIDR 5.7920805e-05
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