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SQL> select * 2 from course_days 3 where days > 10; EMPNO -------7499 7698 7788 SQL> Now, the original problem is rather easy to solve. Listing 10-9 shows the solution. Listing 10-9. Working Toward a Solution: The Final Step SQL> select * 2 from course_days 3 where days > (select avg(days) 4 from course_days); EMPNO -------7499 7698 7788 7839 7876 7902 SQL> Of course, you could argue that you could solve this query directly against the two base tables, but it is easy to make a little mistake. Moreover, your solution will probably be difficult to interpret. We could have used an inline view as well, or we could have separated the query in Listing 10-7 into a WITH clause, as described in Section 9.4 of 9. Inline views and subquery factoring (using the WITH clause) are good alternatives if you don t have the right system privileges to create views. A big advantage of using views, compared with inline views and subquery factoring, is the fact that view definitions are persistent; that is, you might benefit from the same view for more than one problem. Views occupy very little space (the DBMS stores the query text only), and there is no redundancy at all. ENAME DAYS -------- -------ALLEN 11 BLAKE 12 SCOTT 12 KING 8 ADAMS 9 FORD 9 ENAME DAYS -------- -------ALLEN 11 BLAKE 12 SCOTT 12

You can use views to change the (logical) external interface of the database, as exposed to database users and applications, without the need to change the underlying database structures themselves. In other words, you can use views to implement logical data independency. For example, different database users can have different views on the same base tables. You can rearrange columns, filter on rows, change table and column names, and so on. Distributed databases often use views (or synonyms) to implement logical data independency and hide complexity. For example, you can define (and store) a view as a local database object. Behind the

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scenes, the view query accesses data from other databases on the network, but this is completely transparent to database users and applications. You can also provide derivable information via views; that is, you implement redundancy at the logical level. The COURSE_DAYS view we created in Listing 10-8 is an example, because that view derives the number of course days.

base.OnInit(e); this.OrdersGrid.Visible = !this.User.IsInRole("Order approver"); this.OrdersGridForApprovers.Visible = this.User.IsInRole("Order approver");

In 2, you saw that SQL supports the following standard SQL operators: Arithmetic operators: +, -, *, and / Alphanumeric operator: || (concatenation)

When you create a chart, Word automatically opens a data sheet where you can modify the information represented in the chart. The first column of the data sheet contains the data series. These are the items that are plotted on the graph. The first row of the data sheet contains the categories. The categories appear along the horizontal axis of the chart. The cells where the rows and columns intersect contain the values. You can change the way your chart represents the data. Simply choose Data and select Series in Columns or Series in Rows.

Besides using these operators, you can also perform many operations on your data using functions. You can use functions virtually anywhere within queries: in the SELECT, WHERE, HAVING, and ORDER BY clauses. You can recognize functions as follows: they have a name, followed by one or more arguments (between parentheses). In general, function arguments can be constants, variables, or expressions, and sometimes function arguments contain functions themselves. Functions inside function arguments are referred to as nested functions. In some cases, function arguments are optional. This means that you can omit the optional argument and allow Oracle to use a standard (or default) value.

Note Oracle SQL Reference uses different terms for two similar concepts: functions without arguments and pseudo columns. For example, SYSDATE and USER are listed as functions, and ROWNUM, LEVEL, and NEXTVAL are listed as pseudo columns. If you check older versions of the documentation, you will see that Oracle changed terminology over the years. In version 5.1, both SYSDATE and USER were pseudo columns; in version 6.0, SYSDATE was promoted to a function, but USER was still a pseudo column; and in version 7.3, both SYSDATE and USER were documented as functions. You could argue that SYSDATE and USER return the same value for every row, while ROWNUM, LEVEL, and NEXTVAL normally return different values. According to the current Oracle SQL Reference, functions take zero or more arguments. This book sometimes refers to items as pseudo columns where Oracle SQL Reference refers to them as functions.

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