An Introduction to the Expressive Stream Language ( ESL ) 1 WEB
نویسندگان
چکیده
ESL is the application language of the Stream Mill system that supports2: • Continuous queries on data streams, • Ad hoc queries on (i) database tables and (ii) on concrete views created from streaming data, • Spanning applications that combine and compare incoming live data with stored data. ESL is based on SQL to help users to learn it, and use it on spanning applications. For the same reasons, ESL strives to minimize the SQL extensions introduced to handle data streams (rather than database tables). Within this minimalist’s approach, however, ESL provides a quantum leap in expressive power: ESL is Turing complete and can support efficiently applications that are well beyond the capabilities of SQL:2003 —e.g., Data Mining queries and time series queries. This report is as short tutorial on ESL for simple data stream applications; the reader should refer to http:\\wis.cs.ucla.edu for more advanced applications, including data mining queries and time series queries. The main contributors to the design and implementation of ESL and Stream Mill are: Yijian Bai ([email protected]), Richard Chang Luo ([email protected]), Hetal Thakkar ([email protected]), Haixun Wang ([email protected]), and Carlo Zaniolo ([email protected]) Feature not yet implemented.
منابع مشابه
Introducing Stream Mill: User-Guide to the Data Stream Management System, its Expressive Stream Language ESL, and the Data Stream Mining Workbench SMM
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