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To analyze the multidimensional data, a manager may want to see data laid out as shown in the table in Figure 221 The table shows total numbers for different combinations of item-name and color The value of size is speci ed to be all, indicating that the displayed values are a summary across all values of size The table in Figure 221 is an example of a cross-tabulation (or cross-tab, for short), also referred to as a pivot-table In general, a cross-tab is a table where values for one attribute (say A) form the row headers, values for another attribute (say B) form the column headers, and the values in an individual cell are derived as follows Each cell can be identi ed by (ai , bj ), where ai is a value for A and bj a value for B If there is at most one tuple with any (ai , bj ) value, the value in the cell is derived from that single tuple (if any); for instance, it could be the value of one or more other attributes of the tuple If there can be multiple tuples with an (ai , bj ) value, the value in the cell must be derived by aggregation on the tuples with that value In our example, the aggregation used is the sum of the values for attribute number In our example, the cross-tab also has an extra column and an extra row storing the totals of the cells in the row/column Most cross-tabs have such summary rows and columns A cross-tab is different from relational tables usually stored in databases, since the number of columns in the cross-tab depends on the actual data A change in the data values may result in adding more columns, which is not desirable for data storage However, a cross-tab view is desirable for display to users It is straightforward to represent a cross-tab without summary values in a relational form with a xed number of columns A cross-tab with summary rows/columns can be represented by introducing a special value all to represent subtotals, as in Figure 222 The SQL:1999 standard actually uses the null value in place of all, but to avoid confusion with regular null values, we shall continue to use all Consider the tuples (skirt, all, 53) and (dress, all, 35) We have obtained these tuples by eliminating individual tuples with different values for color, and by replacing the value of number by an aggregate namely, sum The value all can be thought of as representing the set of all values for an attribute Tuples with the value all only for the color dimension can be obtained by an SQL query performing a group by on the column item-name Similarly, a group by on color can be used to get the tuples with the value all for item-name, and a group by with no attributes (which can simply be omitted in SQL) can be used to get the tuple with value all for item-name and color.

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(4)(40) (4)(40) cos( v i ) + cos(200t + v + i ) 2 2 = 80 cos(200t 50 )

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When we talk about a database, we must differentiate between the database schema, which is the logical design of the database, and a database instance, which is a snapshot of the data in the database at a given instant in time The concept of a relation corresponds to the programming-language notion of a variable The concept of a relation schema corresponds to the programming-language notion of type de nition It is convenient to give a name to a relation schema, just as we give names to type de nitions in programming languages We adopt the convention of using lowercase names for relations, and names beginning with an uppercase letter for relation schemas Following this notation, we use Account-schema to denote the relation schema for relation account Thus, Account-schema = (account-number, branch-name, balance) We denote the fact that account is a relation on Account-schema by account(Account-schema) In general, a relation schema consists of a list of attributes and their corresponding domains We shall not be concerned about the precise de nition of the domain of each attribute until we discuss the SQL language in 4 The concept of a relation instance corresponds to the programming language notion of a value of a variable The value of a given variable may change with time; similarly the contents of a relation instance may change with time as the relation is updated However, we often simply say relation when we actually mean relation instance As an example of a relation instance, consider the branch relation of Figure 33 The schema for that relation is Branch-schema = (branch-name, branch-city, assets) Note that the attribute branch-name appears in both Branch-schema and Accountschema This duplication is not a coincidence Rather, using common attributes in relation schemas is one way of relating tuples of distinct relations For example, suppose we wish to nd the information about all of the accounts maintained in branches.

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