1 / 18

Database Design

Database Design. Dr. M.E. Fayad, Professor Computer Engineering Department, Room #283I College of Engineering San José State University One Washington Square San José, CA 95192-0180 http://www.engr.sjsu.edu/~fayad. Lesson 6: The MLPQ System. 2. Lesson Objectives.

carol
Télécharger la présentation

Database Design

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Database Design Dr. M.E. Fayad, Professor Computer Engineering Department, Room #283I College of Engineering San José State University One Washington Square San José, CA 95192-0180 http://www.engr.sjsu.edu/~fayad SJSU -- CmpE -- M.E. Fayad

  2. Lesson 6: The MLPQ System 2 SJSU -- CmpE -- M.E. Fayad

  3. Lesson Objectives • Understand the MLPQ System • Learn about: • The Database’s System Architecture • MLPQ Input Files • MLPQ Graphical User Interface • Database Setup 3 SJSU -- CmpE -- M.E. Fayad

  4. MLPQ • MLPQ is short for Management of liner programming queries. • MLPQ is a constraint database system for rational linear constraint databases. • It allows: • Datalog Queries • Minimum and maximum aggregation operations over linear objective functions • And other operators 4 SJSU -- CmpE -- M.E. Fayad

  5. Two Main Application Areas • Operations research when the available data in a database needs to be reformulated by some database query before we can solve a problem by linear programming. • Dealing with spatial and spatiotemporal data. This System allows the ability to go beyond two or three dimensions of mutually constrained data. 5 SJSU -- CmpE -- M.E. Fayad

  6. System consists of six main modules: Representation Query Evaluation Visualization Approximation Update Export Conversion Refer to Chapter 18 for a diagram and more details The MLPQ Database System Architecture 6 SJSU -- CmpE -- M.E. Fayad

  7. MLPQ Input Files • Each Input File has this structure: begin %moduleName% 1 2 . . n end %moduleName% Where i is a Datalog Rule or Rational Linear Constraint Tuple. 7 SJSU -- CmpE -- M.E. Fayad

  8. Differences between Datalog and MLPQ Input File • Each Linear constraint has the form: a1x1 + a2x2 + … + anxn b Where each ai is a constant and each xi is a variable, and i is a relation operator of the from =, <, >, <=, or >=. • The optional aggregate operator has the from OP(f) where OP is one of the aggregate operators: max, min, MAX, MIN, sum_max, sum_min, and f is a liner function of the variables in the rule. 8 SJSU -- CmpE -- M.E. Fayad

  9. Differences ( continued ) • For negation the symbol ! Is used instead of the word not. • The Module Name controls what type of query evaluation methods will be used. It should be one of these strings: • MLPQ– to evaluate only non-recursive Datalog Queries. • RECURSIVE – to evaluation recursive Datalog Queries • GIS – to evaluate both Datalog and iconic queries 9 SJSU -- CmpE -- M.E. Fayad

  10. Example Database file – regions.txt begin%Test% country(id,x,y,t):- id = 1, x >= 0, x <= 4, y >=5 , y <= 15, t >=1800 , t <=1950. country(id,x,y,t):- id = 1, x >= 0, x <= 8, y >=5, y <=15, t >=1950 , t <= 2000. country(id,x,y,t):- id = 2, x >= 4, x <= 12, y >=5 , y <=15 , t >= 1800, t <=1950 . country(id,x,y,t):- id = 2, x >= 8, x <= 12, y >=5 , y <=15 , t >= 1950, t <= 2000. country(id,x,y,t):- id = 3, x >= 0, x <= 12, y >=0 , y <=5 , t >= 1800, t <= 2000. location(c,x,y):- x = 3, y = 2, c = 101. location(c,x,y):- x = 7, y = 3, c = 102. location(c,x,y):- x = 5, y = 6, c = 103. location(c,x,y):- x = 7, y = 10, c = 104. location(c,x,y):- x = 10, y = 8, c = 105. location(c,x,y):- x = 1, y = 7, c = 106. location(c,x,y):- x = -8, y = 6, c = 107. growth(t,c,p):- c = 101, p = 10000 , t >=1800 , t <= 2000. growth(t,c,p):- c = 102, p = 20000 , t >=1800 , t <= 2000. growth(t,c,p):- c = 103, p = 10000 , t >=1800 , t <= 2000. growth(t,c,p):- c = 104, p = 30000 , t >=1800 , t <= 2000. growth(t,c,p):- c = 105, p = 40000 , t >=1800 , t <= 2000. growth(t,c,p):- c = 106, p = 35000 , t >=1800 , t <= 2000. end%Test% 10 SJSU -- CmpE -- M.E. Fayad

  11. The MLPQ Graphical User Interface 11 SJSU -- CmpE -- M.E. Fayad

  12. SQL Query • Find all cities that in 1900 belonged to the USA and had a population of over 10000. Click [Qs], click SQL - Basic button In Create View field enter: “cityUSA1900” In Select field enter: “growth.c, location.x, location.y” In From field enter: “growth, location, country” In Where field enter: “growth.c = location.c, location.x = country.x, location.y = country.y, growth.t = 1900, growth.p > 10000, country.id = 1, country.t = 1900” 12 SJSU -- CmpE -- M.E. Fayad

  13. Preparing a SQL Query 13 SJSU -- CmpE -- M.E. Fayad

  14. Results 14 SJSU -- CmpE -- M.E. Fayad

  15. Many Operators 15 SJSU -- CmpE -- M.E. Fayad

  16. Where to get the MLPQ DB System • Go to Dr. Fayad’s web site for this course • Click the MLPQ-PRESTO System executable and sample database link near the bottom of the page. • Also read the Getting started, Tips, and Specification documents 16 SJSU -- CmpE -- M.E. Fayad

  17. Database Setup • There is not a installer included with this database • Just create a directory, unzip the contents of the archive file into this directory • Locate and double click the mlpq_nt.exe file. 17 SJSU -- CmpE -- M.E. Fayad

  18. Questions? 18 SJSU -- CmpE -- M.E. Fayad

More Related