Lohman, GuyMitschang, BernhardNicklas, DanielaLeymann, FrankSchöning, HaraldHerschel, MelanieTeubner, JensHärder, TheoKopp, OliverWieland, Matthias2017-06-202017-06-202017978-3-88579-659-6After nearly 4 decades and hundreds of scientific papers, relational query optimization can hardly be characterized as anything but a huge scientific and commercial success. The market in 2016 for relational database products was estimated by IDC to be about $40B, out of a total database market of $45.1B. And SQL still dominates database application development and is widely recognized as the most successful declarative language. None of this would have been possible without the success of query optimization, which transforms declarative SQL statements of what data the user needs into an “optimal” execution plan, i.e., a detailed, procedural specification for how that data will be accessed and processed. So are we “there” yet? Are we done? Are all the big and interesting problems solved? Is query optimization as an area of scientific inquiry dead, relegated to incremental improvements and mere engineering? Why do we continue see so many papers on query optimization? In this talk, I argue that current research appears to be incremental because we are largely attacking the wrong problems while ignoring much harder and more significant problems. We are solving the problems we know how to solve, not the problems that need solving.enText/Conference Paper1617-5468