97 citations · 97 across the 3 of their papers we have counts for
3 papers
cs.DB2026
LEARNT: A Practical Estimator for Cardinality of LIKE Queries with Formal Accuracy Guarantees
Hai Lan, Zhifeng Bao, Divesh Srivastava +3
We study the problem of cardinality estimation for LIKE queries on string data, focusing on the most common patterns in real workloads: prefix, suffix, and substring queries. We pr…
cs.DB2026
Graph-centric Cross-model Data Integration and Analytics in a Unified Multi-model Database
Zepeng Liu, Sheng Wang, Shixun Huang +6
Graph-centric cross-model data integration and analytics (GCDIA) refer to tasks that leverage the graph model as a central paradigm to integrate relevant information across heterog…
cs.DB2021★ 97 cited
A Survey on Advancing the DBMS Query Optimizer: Cardinality Estimation, Cost Model, and Plan Enumeration
Hai Lan, Zhifeng Bao, Yuwei Peng
Query optimizer is at the heart of the database systems. Cost-based optimizer studied in this paper is adopted in almost all current database systems. A cost-based optimizer introd…