1. Database Project Team 4 Group c v Menna Hamza Mohamad Hesham Mona Abdel Mageed Yasmine Shaker

2. Phase 1  Get a working database  Populate database

3. Mall Data base  A Data base for a group of malls  Stored various shops, restaurants and cinemas in the malls  Stores all products that are sold in the Mall  Main user are customers seeking information about where to find a product or a specific shop  Minor support for storing shop renters and mall staff

4. Data Generation(1 st phase)  Goal is 100,000 per table  Tried several data generators  Inheritance problem  There is no hard coded constraint in database that prevents a product from being a video and a processor at the same time  Fix manually  Write scripts to manually distribute products among it’s children tables  Products table grew to 600,000

5. Phase 2  Query Selection  5 queries  3 select  Mall viewer (Mall by name)  GetPlaceByName (Search for shops and restaurants with a given name)  Get Mother Board supported memory and ram

6. Phase 2 cont  2 update queries  PlayNextMovie (Changes a cinema now playing movie to next playing and set next playing with the query parameter)  Add a book (Add a book to the database as an example of adding a poduct)  Run queries and collect statistics  SQL profiler  Client side statistics

7. Phase 3  Optimize queries  Generate new databases (red gate data generator)  It s about size not data correctness  Choose 2 queries  Mall Viewer  GetPlaceByName

8. Performance Enhancement  Mostly from indexes  The application domain was helpful  Select is the most frequent and important operation  Optimizing inserts can only be done by dropping indexes  Not possible because it will severely degrade select

9. Before and after (Time)

10. Before and after (Cost)

11. Size vs. time (Get Place)

12. Size vs. time (Mall Viewer)

13. Over all performance

14. Summary  Speed UP  85.7%  78.3%  Cost improvement  88%  99.6%  Over All Speed up  71.5%