Automated Clustering Recommendation With Database Zone Maps
Summary: Automates clustering choice by analyzing workload and recommending linear and z-order clustering plus zone maps. Shows substantial gains on TPC-H and real data; first auto-clustering approach, to be released in Oracle Autonomous Database. (summarized by gpt-5-nano on Feb 09 2026)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 380 | Towards Estimation Error Guarantees for Distinct Values | 2000 | PODS | 0.00024943236 |
| 407 | Database Cracking | 2007 | CIDR | 0.00023941779 |
| 1,608 | Qd-tree: Learning Data Layouts for Big Data Analytics | 2020 | SIGMOD | 0.00011169837 |
| 3,777 | Instance-Optimized Data Layouts for Cloud Analytics Workloads | 2021 | SIGMOD | 6.7713324e-05 |
| 4,954 | Dimensions Based Data Clustering and Zone Maps | 2017 | VLDB | 5.8058349e-05 |
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