Relational Constructs   «Prev

Meaningful Information in Database

In the context of relational databases, the term meaningful information refers to information that describes an attribute of an entity represented in a table, such as a customer's first name, last name, address, or phone number.
It might be tempting to use one or more of those attributes in a primary key, but bear in mind that values for those attributes can change. Customers can change their names, move, or install new phone numbers. A customer could be entered into the table twice if one customer-relations staff member entered the address as "17th Ave. SE " and another entered the same address as "SE 17th Ave.".
When you assign arbitrary values, such as a CustID, to each customer, you avoid these problems.
Regardless of whether customers change their name or residence, you will always have their orders and other information tied to their original CustID value.
For concatenated primary keys or composite primary keys:
  1. The concatenation of all of the primary key columns mst be unique
  2. None of the primary keys columns may contain null

Relations, Attributes, and Tuples

The values in a row are related by the fact that they apply to a particular person. Because of this fact, the formal term for a table is a relation[1]. This can cause some confusion because the word relation is also used informally to describe a relationship between two tables. The formal term for a column is an attribute or data element. The formal term for a row is a tuple. This almost makes sense if you think of a two-attribute relation as holding data pairs, a three-attribute relation as holding value triples, and a four-attribute relation as holding data quadruples. Beyond four items, mathematicians would say 5-tuple, 6-tuple, and so forth, hence the name tuple.
Do not confuse the formal term relation (meaning table) with the more general and less precise use of the term that means "related to" as in "these fields form a relation between these two tables".
Similarly, do not confuse the formal term attribute with the less precise use that means "feature of" as in this field has the required attribute.
Theoretically a relation does not impose any ordering on the tuples that it contains nor does it give an ordering to its attributes. Generally the orderings do not matter to mathematical database theory. In practice, however, database applications usually sort the records selected from a table in some manner to make it easier for the user to understand the results. It is also a lot easier to write the program (and for the user to understand) if the order of the fields remains constant, so database products typically return fields in the order in which they were created in the table unless told otherwise.

[1]Relation: Another word for table is a relation, where relations represent entities in database design.