报告题目：Random Sampling over Joins Revisited
邀请人：东北大学 澳门新葡亰手机版 李芳芳 讲师
东北大学 澳门新葡亰手机版 马安香 讲师
东北大学 澳门新葡亰手机版 寇月 副教授
Join operator is one of the most important questions in relational algebra. Yet, it is often very time-consuming to compute in full on a large database. On the other hand, it is often the case that a user only needs a fairly accurate approximate query result for an aggregation query instead of an exact answer. Towards that, we have investigated how we can efficiently retrieve samples directly from the join results without computing them in full and how to utilize them.
Zhuoyue Zhao is a Ph.D at University of Utah. He is interested in query processing and query optimization in OLAP databases and his main focus is on approximate query processing and sampling from complex queries. He has published many high quality research papers in top international conference and journals, including PLVDB, ACM SIGMOD, ACM TOS, USENIX ATC. Zhuoyue received the best paper award in SIGMOD'16 and received the Google PhD Fellowship in 2019. He received B.S.E degree from Shanghai Jiao Tong University.