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Grep: A Graph Learning Based Database Partitioning System

Summary: Grep leverages a graph-based encoding of data and queries (columns as nodes, query relations as edges; weights from data diversity and joins) with graph neural networks to learn partitioning keys. An evaluation model predicts partitioning performance without repartitioning; deployed in a commercial DB, it delivers 68% throughput gain on 30K banking queries. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6598
Venue
SIGMOD
Year
2023
Pagerank
4.5837691e-05
Overall Rank
8,095 | 43.74%
DOI
10.1145/3588948

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Outgoing Citations (Sorted by Pagerank)

Showing 34 of 34 cited papers.

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

Rank Cited Paper Year Venue Pagerank
71 How Good Are Query Optimizers, Really? 2016 VLDB 0.00059446482
208 Schism: a Workload-Driven Approach to Database Replication and Partitioning 2010 VLDB 0.00034478612
285 Automating Physical Database Design in a Parallel Database 2002 SIGMOD 0.00028978423
662 Database Tuning Advisor for Microsoft SQL Server 2005 2004 VLDB 0.00018478597
779 QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning 2019 VLDB 0.00016719473
804 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.0001643674
1,473 Fine-grained Partitioning for Aggressive Data Skipping 2014 SIGMOD 0.00011786148
1,683 Cardinality Estimation: An Experimental Survey 2018 VLDB 0.0001091276
1,697 Bridging the Archipelago between Row-Stores and Column-Stores for Hybrid Workloads 2016 SIGMOD 0.00010859294
1,892 Black or White? How to Develop an AutoTuner for Memory-based Analytics 2020 SIGMOD 0.00010176219
2,167 Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation 2015 SIGMOD 9.3879598e-05
2,566 Combating Web Spam with TrustRank 2004 VLDB 8.5304697e-05
2,985 Supporting Table Partitioning By Reference in Oracle 2008 SIGMOD 7.7758625e-05
3,006 Clay: Fine-Grained Adaptive Partitioning for General Database Schemas 2017 VLDB 7.7285127e-05
3,066 Learning a Partitioning Advisor for Cloud Databases 2020 SIGMOD 7.6255556e-05
3,219 Query Optimization Techniques for Partitioned Tables 2011 SIGMOD 7.3592303e-05
3,241 A Learned Query Rewrite System using Monte Carlo Tree Search 2022 VLDB 7.32744e-05
3,455 Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation 2022 VLDB 7.0760196e-05
3,466 AI Meets Database: AI4DB and DB4AI 2021 SIGMOD 7.0645718e-05
3,580 Query Performance Prediction for Concurrent Queries using Graph Embedding 2020 VLDB 6.9460425e-05
3,729 Cost-based or Learning-based? A Hybrid Query Optimizer for Query Plan Selection 2022 VLDB 6.8078013e-05
3,825 Locality-aware Partitioning in Parallel Database Systems 2015 SIGMOD 6.7225803e-05
4,151 openGauss: An Autonomous Database System 2021 VLDB 6.4020605e-05
4,216 Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation 2021 VLDB 6.3448176e-05
4,377 HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements 2022 SIGMOD 6.2331947e-05
4,543 FACE: A Normalizing Flow based Cardinality Estimator 2022 VLDB 6.0953507e-05
5,116 AdaptDB: Adaptive Partitioning for Distributed Joins 2017 VLDB 5.6805476e-05
5,289 LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning 2022 SIGMOD 5.5790771e-05
5,696 Exact Cardinality Query Optimization with Bounded Execution Cost 2019 SIGMOD 5.367449e-05
6,440 From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems 2019 SIGMOD 5.0546781e-05
6,655 Fast and Effective Distribution-Key Recommendation for Amazon Redshift 2020 VLDB 4.9693109e-05
7,713 Query Centric Partitioning and Allocation for Partially Replicated Database Systems 2017 SIGMOD 4.6662571e-05
8,180 Demonstrating UDO: A Unified Approach for Optimizing Transaction Code, Physical Design, and System Parameters via Reinforcement Learning 2021 SIGMOD 4.5627116e-05
8,434 SageDB: An Instance-Optimized Data Analytics System 2022 VLDB 4.5077955e-05
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