Budget-aware Query Tuning: An AutoML Perspective

arXiv:2404.00137v1 Announce Type: cross
Abstract: Modern database systems rely on cost-based query optimizers to come up with good execution plans for input queries. Such query optimizers rely on cost models to estimate the costs of candidate query execution plans. A cost model represents a function from a set of cost units to query execution cost, where each cost unit specifies the unit cost of executing a certain type of query processing operation (such as table scan or join). These cost …

abstract arxiv automl budget cost costs cs.ai cs.db cs.lg database function good modern perspective queries query set systems type units