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Efficient Database Query Result Caching Using Change Notifications

This paper discusses a novel approach for managing database query result caching through change notifications in SQL Server. It addresses the common issue of outdated cached results following database updates. Utilizing a three-tier architecture for web applications, the proposed method incorporates time-to-live strategies and non-materialized indexed views for effective change detection. The solution enables mid-tier caching, ensuring clients are promptly updated with price changes, enhancing performance and reliability in dynamic querying scenarios. Experience a live demo to see its benefits firsthand.

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Efficient Database Query Result Caching Using Change Notifications

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  1. Database Change Notifications: Primitives for Efficient Database Query Result Caching Cesar Galindo-Legaria, Torsten Grabs, Christian Kleinerman, Florian WaasSQL Server EngineMicrosoft Corp. Redmond, WAUSAVLDB 2005, Trondheim, Norway http://www.microsoft.com/sql/2005/

  2. Motivation HTTP HTTP HTTP SELECT price FROM books WHERE title = ‘T-SQL’ UPDATE booksSET price = 20.00WHERE title = ‘T-SQL’ • Three-tier architecture for web applications • Time-to-life based approaches for caching of read-mostly dynamic results at mid-tier for performance reasons • Problem: Outdated results in case of database updates Clients Mid-tier cache: Web serverfarm DBS 20.00

  3. Demo Highlights HTTP Query Plan Update Plan Change Notification:- cache re-run query, or- send delta 20.00 UPDATE • “Non-materialized” indexed view for change detection • Query plan rewrite to register cached query results • Update rewrite to notify caches of changes in case of non-empty materialized view maintenance delta stream • Note: No DBMS installation necessary at the mid tier Clients Mid-tier cache: Web serverfarm 20.00 SELECT DBS

  4. ? Questions ? Come and see the Demo!!!

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