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The organizing principle in a relational database is the table, a rectangular row/column arrangement of data values. Each table in a database has a unique table name that identifies its contents. (Actually, each user can choose his or her own table names without worrying about the names chosen by other users, as explained in 5.) The row/column structure of a table is shown more clearly in Figure 4-7, which is an enlarged view of the OFFICES table. Each horizontal row of the OFFICES table represents a single physical entity a single sales office. Together the five rows of the table represent all five of the company s sales offices. All of the data in a particular row of the table applies to the office represented by that row. Each column of the OFFICES table represents one item of data that is stored in the database for each office. For example, the CITY column holds the location of each office. The SALES column contains each office s year-to-date sales total. The MGR column shows the employee number of the person who manages the office. Each row of a table contains exactly one data value in each column. In the row representing the New York office, for example, the CITY column contains the value New York . The SALES column contains the value $692,637.00 , which is the year-to-date sales total for the New York office. For each column of a table, all of the data values in that column hold the same type of data. For example, all of the CITY column values are text, all of the SALES values are money amounts, and all of the MGR values are integers (representing employee numbers). The set of data values that a column can contain is called the domain of the column. The domain of the CITY column is the set of all names of cities. The domain of the SALES column is any money amount. The domain of the REGION column is just two data values, Eastern and Western , because those are the only two sales regions the company has. Each column in a table has a column name, which is usually written as a heading at the top of the column. The columns of a table must all have different names, but there is no prohibition against two columns in two different tables having identical names. In fact, frequently used column names such as NAME, ADDRESS, QTY, PRICE, and SALES are often found in many different tables of a production database.
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The columns of a table have a left-to-right order, which is defined when the table is first created. A table always has at least one column. The ANSI/ISO SQL standard does not specify a maximum number of columns in a table, but almost all commercial SQL products do impose a limit, which is seldom less than 255 columns. Unlike the columns, the rows in a table do not have any particular order. In fact, if you use two consecutive database queries to display the contents of a table, there is no guarantee that the rows will be listed in the same order twice. Of course you can ask SQL to sort the rows before displaying them, but the sorted order has nothing to do with the actual arrangement of the rows within the table. A table can have any number of rows. A table of zero rows is perfectly legal and is called an empty table (for obvious reasons). An empty table still has a structure, imposed by its columns; it simply contains no data. The ANSI/ISO standard does not limit the number of rows in a table, and many SQL products will allow a table to grow until it exhausts the available storage. Other SQL products impose a limit, but it is always a very generous one 2 billion rows or more is common.
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