1 citations · 1 across the 3 of their papers we have counts for
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One Join Order Does Not Fit All: Reducing Intermediate Results with Per-Split Query Plans
Yujun He, Hangdong Zhao, Simon Frisk +4
Minimizing intermediate results is critical for efficient multi-join query processing. Although the seminal Yannakakis algorithm offers strong guarantees for acyclic queries, cycli…
Marlin: Efficient Coordination for Autoscaling Cloud DBMS (Extended Version)
Wenjie Hu, Guanzhou Hu, Mahesh Balakrishnan +1
Modern cloud databases are shifting from converged architectures to storage disaggregation, enabling independent scaling and billing of compute and storage. However, cloud database…
Debunking the Myth of Join Ordering: Toward Robust SQL Analytics
Junyi Zhao, Kai Su, Yifei Yang +3
Join order optimization is critical in achieving good query performance. Despite decades of research and practice, modern query optimizers could still generate inferior join plans…
Enhancing Computation Pushdown for Cloud OLAP Databases
Yifei Yang, Xiangyao Yu, Marco Serafini +2
Network is a major bottleneck in modern cloud databases that adopt a storage-disaggregation architecture. Computation pushdown is a promising solution to tackle this issue, which o…