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Continuously Adaptive Continuous Queries

This document discusses the architecture of continuously adaptive continuous queries, focusing on fundamental concepts and structures involved in their implementation. It delves into grouped filtering, tuple state management, and tuple lineage within query processing. Several query examples, including those accessing financial data from quotes and articles, illustrate how these systems maintain relevance and accuracy as data changes. By analyzing tuple lineage and adaptive query responses, this work aims to enhance efficiency and real-time data retrieval in dynamic databases.

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Continuously Adaptive Continuous Queries

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  1. Continuously Adaptive Continuous Queries Sam Madden Mehul Shah DB Lunch, 11/9/01

  2. Basic Architecture

  3. Grouped Filter

  4. Per Tuple State

  5. Tuple Lineage T.c Stem R.a Stem S.b Stem R R R R Query 1 Query 2 Query 3

  6. Tuple Lineage T.c Stem R.a Stem S.b Stem R R R R Query 1 Query 2 Query 3

  7. Tuple Lineage T.c Stem R.a Stem S.b Stem R R R R Query 1 Query 2 Query 3

  8. Tuple Lineage T.c Stem R.a Stem R S.b Stem R R R Query 1 Query 2 Query 3

  9. Tuple Lineage T.c Stem R.a Stem S.b Stem R R R R Query 1 Query 2 Query 3

  10. Tuple Lineage T.c Stem R.a Stem S.b Stem S S S Query 1 Query 2 Query 3

  11. Tuple Lineage T.c Stem R.a Stem S.b Stem S S S Query 1 Query 2 Query 3

  12. NiagaraCQ select from quotes,articles where quotes.price > x and articles.symbol = quotes.symbol

  13. CACQ select from quotes,articles where quotes.price > x and articles.symbol = quotes.symbol

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