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cs.DB2025
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…
cs.DB2025
Rethinking Analytical Processing in the GPU Era
Bobbi Yogatama, Yifei Yang, Kevin Kristensen +9
The era of GPU-powered data analytics has arrived. In this paper, we argue that recent advances in hardware (e.g., larger GPU memory, faster interconnect and IO, and declining cost…
cs.DB2025
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…