1. Database Design 1 CMS 476 Dr. Karl Horak, Instructor

2. Session 3 Week in Review Week in Review Application du Jour Application du Jour Lecture: Lecture: –Delimiters –Logical operators and expressions –Multiple table queries Demonstration: AND, OR, NOT & Null Demonstration: AND, OR, NOT & Null Demonstration: Relationships & Joins Demonstration: Relationships & Joins Exercises Exercises

3. Week in Review In a word, frantic RPT goes to Merry Old England RPT goes to Merry Old England Web portal end-of-FY deadline Web portal end-of-FY deadline On-going portals On-going portals

4. Lecture Topic A: Delimiters Most compilers (and database engines) never allow variables to begin with a digit (or a minus sign). Most compilers (and database engines) never allow variables to begin with a digit (or a minus sign). Hence, anything starting with a digit is either: Hence, anything starting with a digit is either: –An integer or –Floating point Things beginning with characters can be all sorts of other stuff Things beginning with characters can be all sorts of other stuff

5. Delimiters Things with digits or +/- signs are always numeric. Things with digits or +/- signs are always numeric. Everything else needs to be characterized for the database engine. Everything else needs to be characterized for the database engine. –[xyz] in Access indicates that xyz is a field name or a parameter (more on that later) –“xyz” and ‘xyz’ tell the system that xyz is a string of characters –#1/26/53# is how one indicates a date in Access Otherwise, the database engine divides 1 by 26 by 53 and you get a mess Otherwise, the database engine divides 1 by 26 by 53 and you get a mess Actually, you get 0.0007257 Actually, you get 0.0007257

6. String Delimiters ‘Moby Dick’—a string ‘Moby Dick’—a string “Moby Dick”—a string “Moby Dick”—a string [Moby Dick]—the Moby Dick(!) field [Moby Dick]—the Moby Dick(!) field but “Prisoner’s Dilemma” is needed for an embedded single apostrophe but “Prisoner’s Dilemma” is needed for an embedded single apostrophe ‘Prisoner’s Dilemma’ returns an error for unmatched delimiters ‘Prisoner’s Dilemma’ returns an error for unmatched delimiters [First Name] will indicate a field name, parameter, or variable [First Name] will indicate a field name, parameter, or variable Hint: Omit spaces in field names and [ ] are not needed Hint: Omit spaces in field names and [ ] are not needed

7. Dates and Times While we’re talking about dates: –‘<’ (less than) is “before” –‘>’ (greater than) is “after” Always remember and don’t ever forget: –Dates are stored as floating point numbers, usually based on the number of days since something like January 1, 1900 –Times are stored as decimal fractions of a day 6:00 AM is 1/4 of a day, so its 0.25 6:00 AM is 1/4 of a day, so its 0.25 Some time functions are accurate to seconds Some time functions are accurate to seconds Other time functions are accurate to milliseconds Other time functions are accurate to milliseconds

8. Intervals An interval has: A start time A start timeAND A finish time A finish timeExample: #1/1/1714# <= Mydate <= #3/26/1837# or (#1/1/1714# <= Mydate) AND (Mydate <= #3/26/1837#)

9. Lecture Topic B: Logical Operators and Expressions Only two values in Boolean logic: Only two values in Boolean logic: –True & False –Yes & No –On & Off –0 & -1* But then there’s that pesky Null thingie But then there’s that pesky Null thingie * Clever trick #437: Often any non-zero value is treated as True

10. Boolean Operators AND—True if both are true AND—True if both are true OR—True if either or both are true OR—True if either or both are true NOT—True  False & False  True NOT—True  False & False  True XOR—Exclusive OR; rarely seen, true if either one or the other but not both are true XOR—Exclusive OR; rarely seen, true if either one or the other but not both are true

11. Venn Diagrams NOT p = True Not(p) = Truep = False

12. AND p = True q = True p and q

13. OR p = True q = True p or q

14. XOR p = True q = True p xor q What the heck is this gray area?

15. Some more examples p = True q = True r = True A? D? B? C?

16. Boolean Logic in the QBE SELECT [IT survey].Name FROM [IT survey] WHERE ([IT survey].Staff=False AND [IT survey].A<>False) OR ([IT survey].Staff=False AND [IT survey].B<>False);

17. Null An unknown value An unknown value Not 0 Not 0 Neither true nor false Neither true nor false Not an empty string, “” Not an empty string, “” Not ASCII 0 (or \0) Not ASCII 0 (or \0) Not /dev/null Not /dev/null Not a Nil pointer Not a Nil pointer Frankly, its not anything except Null Frankly, its not anything except Null Almost any operation or function on Null will return a surprising and often incorrect value Almost any operation or function on Null will return a surprising and often incorrect value Tests for Null values Tests for Null values –Isnull() in expressions –‘Is Null’ in WHERE clauses

18. Operations on Null A = Null is neither True nor False A = Null is neither True nor False A <> Null is neither True nor False A <> Null is neither True nor False Null and False = False Null and False = False Null or True = True Null or True = True

19. Lecture Topic C: Multi-table Queries—Joins Observation #1—You can keep adding tables (and queries) to the QBE grid Observation #1—You can keep adding tables (and queries) to the QBE grid What is the percentage of Iranian enrichment capacity relative to the U.S?

20. Joining Tables Observation #2—You can drag-and- drop lines connecting tables in the QBE grid Observation #2—You can drag-and- drop lines connecting tables in the QBE grid What are the enrichment facilities in Western Europe?

21. Relationships Observation #3—You can connect more than two tables in the QBE grid Observation #3—You can connect more than two tables in the QBE grid What are the enrichment facilities in Europe?

22. Key Fields The “key” to joining tables is to have common information that references the same data in each table. The “key” to joining tables is to have common information that references the same data in each table. A “primary key” is a unique identifier for a record. A “primary key” is a unique identifier for a record. A “foreign key” is used as a look-up value and matches a primary key in another table. A “foreign key” is used as a look-up value and matches a primary key in another table.

23. Compound Keys Keys may be made up of more than one field Keys may be made up of more than one field [Last Name] + [First Name] [State] + [City] Keys may include expressions Keys may include expressions Left([Last Name],1)

24. Relationships A “relationship” means that there are corresponding primary and foreign keys between tables. A “relationship” means that there are corresponding primary and foreign keys between tables. Temporary relationships may be created “on the fly” in the QBE Temporary relationships may be created “on the fly” in the QBE Permanent relationships may be created with the Tools | Relationships Permanent relationships may be created with the Tools | Relationships

25. Joining Tables with Where Clauses* SELECT [EFAC data].[Plant Name/Location], MemberStates.IAEAregion FROM [EFAC data], MemberStates WHERE [EFAC data].Country = MemberStates.Country; * Access will automatically convert these into JOIN statements

26. Inner Joins SELECT [EFAC data].[Plant Name/Location], MemberStates.IAEAregion FROM [EFAC data] INNER JOIN MemberStates ON [EFAC data].Country = MemberStates.Country;

27. Outer Joins May be either Left or Right Joins May be either Left or Right Joins SELECT [EFAC data].[Plant Name/Location], MemberStates.Country FROM [EFAC data] LEFT JOIN MemberStates ON [EFAC data].Country = MemberStates.Country;

28. Use the Force, Luke Left Join Inner Join

29. Kick it up another notch NB: All arrows “point” in the same direction.

30. Gives you… SELECT [EFAC data].[Plant Name/Location], Continents.Continent FROM ([EFAC data] LEFT JOIN MemberStates ON [EFAC data].Country = MemberStates.Country) LEFT JOIN Continents ON MemberStates.IAEAregion = Continents.IAEAregion;

31. Next Week Database Design & Relationships Database Design & Relationships –Modeling Relationships –Entity-Relationship (ER) Diagrams –Normalization 3 rd Normal Form 3 rd Normal Form –Object-Role Modeling for perfect 3NF

32. Demonstration Boolean expressions Boolean expressions Date logic Date logic Relationships—Joins Relationships—Joins http://70.56.215.209/khorak/CSF/SQLExercises.mdb (Download new version—lots of new tables are included.)

33. Exercises and Q&A 1. List all the inventions created between 1835 and 1845 inclusive along with their inventors. 2. Which was invented first, the microscope or the thermometer? 3. Who invented the seed drill? (What the heck is a ‘seed drill’ anyway?) 4. Did DeGuerre (of DeGuerrotype fame) invent photography? 5. Claude Bernard is rarely credited with inventing what process with a more famous colleague?

34. More Exercises 6. List the names of those in IT who are also in Distribution Group A. 7. List the names of staff who are characterized as ‘B’. 8. List all those in ‘C’ or those who did not respond (neither in ‘A’, ‘B’, nor ‘C’). 9. Who has a ‘K’ or ‘k’ in their name? 10. Provide a list of persons sorted by first name.

35. Still More Exercises 11. List employees and their department names and locations. 12. List all departments, including one without any current employees. 13. Draw a map of the five hypothetical countries showing which ones are adjacent. 14. In the Inventions table, write a query that will fill in the columns Year and Inventor from the original Scratch field (copied out of Wikipedia)