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Relationships are also classified by minimum cardinality (the minimum number of tuples that must participate in the relationship). If each tuple in one relation must have a matching tuple in the other, the relationship is said to be mandatory in that direction. Similarly, if each tuple in one relation does not require a matching tuple in the other, the relationship is said to be optional in that direction. For example, the relationship between ARTIST_NAMES and ARTIST_AGENCIES is mandatory-mandatory because each artist must have one agency and each ARTIST_AGENCIES tuple must refer to one and only one artist. Business rules must be understood before minimum cardinality can be determined with certainty. For instance, can we have an artist in the database who at some point in time has no CDs in the database (that is, no matching tuples in ARTIST_CDS) If so, then the relationship between ARTIST_NAMES and ARTIST_CDS is mandatory-optional; otherwise it is mandatory-mandatory.
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You mention that relationships between relations help to ensure data integrity. How do relationships make that possible Suppose your data model includes a relation (named ARTIST_NAMES) that lists all the artists who have recorded CDs in your inventory. Your model also includes a relation (named ARTIST_CDS) that matches artist IDs with compact disc IDs. If a relationship exists between the two relations, tuples in one relation will always correspond to tuples in the other relation. As a result, you could prevent certain actions that could compromise data. For example, you would not be able to add an artist ID to the ARTIST_CDS relation if that ID wasn t listed in the ARTIST_NAMES relation. Nor would you be able to delete an artist from the ARTIST_NAMES relation if the artist ID was referenced in the ARTIST_CDS relation. What do you mean by the term data model By data model, I m referring to a design, often presented using diagrams, that represents the structure of a database. The model identifies the relations, attributes, keys, domains, and relationships within that database. Some database designers will create a logical model and physical model. The logical model is based more on relational theory and applies the appropriate principles of normalization to the data. The physical model, on the other hand, is concerned with the actual implementation, as the data will be stored in an RDBMS. Based on the logical design, the physical design brings the data structure down to the real world of implementation.
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SQL: A Beginner s Guide
Try This 1-1
Normalizing Data and Identifying Relationships
As a beginning SQL programmer, it s unlikely that you ll be responsible for normalization of the database. Still, it s important that you understand these concepts, just as it s important that you understand the sorts of relationships that can exist between relations. Normalization and relationships, like the relations themselves, help to provide the foundation on which SQL is built. As a result, this Try This exercise focuses on the process of normalizing data and identifying the relationships between relations. To complete the exercise, you need only a paper and pencil on which to sketch the data model.
Step by Step
1. Review the relation in the following illustration:
CD_ID
99301 99302 99304 99305 99306 99307
CD_NAME
CATEGORY Folk, Pop Folk, Pop New Age New Age, Classical Christmas, Classics Country, Pop, Classics
Famous Blue Raincoat Blue Past Light Kojiki That Christmas Feeling Patsy Cline: 12 Greatest Hits
2. Identify any elements that do not conform to the three normal forms. You will find that the
CATEGORY attribute contains more than one value for each tuple, which violates the first normal form.
3. Normalize the data according to the normal forms. Sketch out a data model that includes the
appropriate relations, attributes, and tuples. Your model will include three tables, one for the list of CDs, one for the list of music categories (for example, Pop), and one that associates the CDs with the appropriate categories of music. View the Try_This_01-1a.jpg file online for an example of how your data model might look.
4. On the illustration you drew, identify the relationships between the relations. Remember
that each CD can be associated with one or more categories, and each category can be associated with zero, one, or more CDs. View the Try_This_01-1b.jpg file online to view the relationships between relations.
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