#13 - Query Cost Models: Cardinality Estimation (CMU Optimize!)
CMU Database Group · 71:37
This Carnegie Mellon lecture shows how a query optimizer turns catalog summaries (equi-depth histograms, n-distinct / heavy hitters, HyperLogLog) into cardinality estimates—the logical row counts that drive cost compa...