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Nile: a query processing engine for data streams

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13 Author(s)
Hammad, M.A. ; Purdue Univ., West Lafayette, IN, USA ; Mokbel, M.F. ; Ali, M.H. ; Aref, W.G.
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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.

Published in:
Data Engineering, 2004. Proceedings. 20th International Conference on

Date of Conference: 30 March-2 April 2004

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