Nile: a query processing engine for data streams
| Autor: | Mohamed G. Elfeky, Thanaa M. Ghanem, R. Gwadera, Mohamed Y. Eltabakh, Ihab F. Ilyas, Mohamed Ali, Mirette Marzouk, Ahmed K. Elmagarmid, Walid G. Aref, Moustafa A. Hammad, Mohamed F. Mokbel, Ann Christine Catlin, Xiaopeng Xiong |
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| Rok vydání: | 2004 |
| Předmět: |
SQL
Alias Relational database View Computer science Data definition language computer.software_genre Query language Query optimization Database design Database tuning Search-oriented architecture Query expansion In-Memory Processing Query by Example computer.programming_language Database model Information retrieval Database Data stream mining Materialized view InformationSystems_DATABASEMANAGEMENT Online aggregation Spatial query Object Query Language Sargable Database theory computer |
| Zdroj: | ICDE |
| DOI: | 10.1109/icde.2004.1320080 |
| Popis: | We present the demonstration of the design of "STEAM", Purdue Boiler Makers' stream database system that allows for the processing of continuous and snap-shot queries over data streams. Specifically, the demonstration focuses on the query processing engine, "Nile". Nile extends the query processor engine of an object-relational database management system, PREDATOR, to process continuous queries over data streams. Nile supports extended SQL operators that handle sliding-window execution as an approach to restrict the size of the stored state in operators such as join. |
| Databáze: | OpenAIRE |
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