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Designing tables from a data model (Chapter 6) One base table for each entity.

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Presentation on theme: "Designing tables from a data model (Chapter 6) One base table for each entity."— Presentation transcript:

1 Designing tables from a data model (Chapter 6) One base table for each entity.

2 Define primary key for each table. Usually choose attributes than are unambiguous and dataless However, a key might contain data (information) if it does not change. For example, a room number

3 Some systems use a surrogate key (one generated by the dbms). For your projects I recommend simple keys such as integers or short strings. It will make your life easier when you have to develop the application to access the data. With a surrogate key, uniqueness may be a problem when combining data from different databases (prose on p. 194).

4 Each attribute has a type Types may differ across different systems. Use primitive types (int, float, string, date, etc.). Can assign default values or NULL values (no data available). NULL value results in a false result with ANY comparison with data.

5 Makes it a better choice than a default value such as 0 for numeric fields. Example: a supplier may have a numeric status assigned to it. Good (bad) suppliers have a status above (below) a specified value. You might want to list all good suppliers and all bad suppliers. Maybe a supplier is new and hasnt been assigned a status yet. A default value would cause it to appear in one of these lists.

6 Another problem resulting from using a specific (sentinel) value to take a specific action. Some years ago a database was being created containing cities and nations throughout the world. For some reason, the software stopped working part way through the process. After much frustration and debugging it was discovered the software quit each time it read the Ecuadorian city of Quito.

7 Integrity Constraints entity integrity Primary key must never be null.

8 Define appropriate constraints Gpa (must lie between 0 and 4) letter grade (only certain letter combinations) $$ value (usually non-negative), etc have constraints. Use them. A database with such constraints will disallow any attempt to insert or modify a record unless constraints are met. May be called domain or range constraints.

9 Interrelation constraint Value must be consistent with that in other tables. Student GPA, for example, must be consistent with grades received Often need programming logic to enforce these (i.e. Triggers)

10 Implementing relationships. Foreign key an attribute in one table whose value must match a primary key in another table, or be wholly NULL. Student table may have an advisor attribute. It must match the ID of an existing advisor or be NULL A table consisting of orders must have foreign keys matching a customer number and a product code.

11 What if a primary key changes? What about matching foreign keys? Another reason to keep primary keys dataless.

12 What if a record is deleted? What about other entries that reference it? Some choices: disallow delete provide cascading delete (delete all records with a matching foreign key) May affect numerous tables change foreign keys to NULL (if allowed). Can be specified when designing tables.

13 Examples If a faculty member is deleted, might change the student advisor field to NULL. If an employee is deleted, will probably delete all dependent entities also. An employee may be given a list of company supplies when hired. Do not delete employee if he/she still possesses some of those things.

14 One-to-one relationship: Use a foreign key in one entity to match the primary key in the other but where? Ex: employee companyCar should employee have a CarId as a foreign key or should companyCar have an employeeId as a foreign key? What do you think? See also Fig. 6-8 on page 198

15 One-to-many relationship and ID- Dependent relationships. Need a foreign key on the many side (child side). Ex. Department and Employee Employee has a Dept ID that is a foreign key Student and Major Advisor: Student has an advisor ID that is a foreign key See also Fig. 6-9 on page 199

16 Many-to-many relationship Must convert into two 1-to-many relationships with a separate intersection table. The intersection table has two foreign keys each matching one of the primary keys in one of the connecting tables – it may contain nothing else If there is other data, its called an association table instead

17 Examples A many-to-many relationship between Suppliers and Parts requires a shipment table having Supplier ID and Part ID as foreign keys and perhaps nothing else. A many-to-many relationship between Students and Courses may require a courses taken table having a Student ID and Course ID as foreign keys and perhaps a grade. See also examples on pages 200-204.

18 Implementing multivalued attributes or Archetype/Instance patterns Can treat as ID dependent relationships Ex: a salesperson may have many regions. Theres a one-to-many relationship between the salesperson entity and a region entity. Ex: Classes and sections Theres a one-to-many relationship between a class and its sections Examples on page 205 and beyond

19 Implementing subtypes Subtype entity contains a primary key that also matches the primary key in the supertype. The key is both a primary key and a foreign key. Its a type of ID dependent relationship. Diagram on page 208

20 Create a patient table in a medical database. Use patient ID as the primary key. Create a female patient table in the database. Patient ID is both a primary key and a foreign key to the above table. Proceed similarly for a male patient table.

21 Recursive relationships An entity could have a foreign key matching a primary key of some instance of the same entity. Ex: Employees may be supervisors or mentors for other employees May have an intersection table with two course numbers, where one represents a prerequisite of the other. Examples on page 209-210

22 Designing for cardinality More difficult since it is not a structural issue. Usually have to code procedures or programming logic to implement these.

23 CAN design for minimum cardinality (mandatory or optional requirements) in some cases. If a parent entity is mandatory, can put a NOT NULL constraint on the childs foreign key. See Figure 6-28 on page 215 and 6-30 on page 218.

24 Triggers are something we will discuss later, but will skip for now. They can be useful but can also cause all kinds of unexpected problems if not done correctly. Book has lots of examples; go through them.

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