Name
Abstract | ||
|---|---|---|
Continuous Query (CQ) systems typically exploit commonality among query expressions to achieve improved efficiency through shared processing. Recently proposed CQ systems have introduced window specifications in order to support unbounded data streams. There has been, however, little investigation of sharing for windowed query operators. In this paper, we address the shared execution of windowed joins, a core operator for CQ systems. We show that the strategy used in systems to date has a previously unreported performance flaw that can negatively impact queries with relatively small windows. We then propose two new execution strategies for shared joins. We evaluate the alternatives using both analytical models and implementation in a DBMS. The results show that one strategy, called MQT, provides the best performance over a range of workload settings. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1016/B978-012722442-8/50034-3 | VLDB |
Keywords | Field | DocType |
windowed query operator,shared window,shared execution,shared processing,query expression,new execution strategy,continuous query,best performance,impact query,cq system,data stream,unreported performance flaw | Data stream mining,Joins,Expression (mathematics),Scheduling (computing),Computer science,Workload,Exploit,Operator (computer programming),Database,Distributed computing | Conference |
ISSN | ISBN | Citations |
Proceedings 2003 VLDB Conference | 0-12-722442-4 | 85 |
PageRank | References | Authors |
4.79 | 14 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Moustafa A. Hammad | 1 | 297 | 19.61 |
| Michael J. Franklin | 2 | 17423 | 1681.10 |
| Walid G. Aref | 3 | 4502 | 419.49 |
| Ahmed K. Elmagarmid | 4 | 3720 | 626.92 |