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Figure 7-15. Example of CollapsiblePanel (in expanded mode)

benchmark@ORA10G> select distinct deptno from emp; 10 20 30. We also create two tables, above_avg_emp and below_avg_emp, which are essentially copies of table emp with no data: benchmark@ORA10G> create table above_avg_emp as select * from emp where 1!=1; Table created. benchmark@ORA10G> create table below_avg_emp as select * from emp where 1!=1; Table created. Our requirement specification can be directly translated into a PL/SQL procedure, insert_emp_plsql, which we will define soon. First, we create an object type, dept_avg_sal, that can hold a department number and its average salary. We also create a nested table of the preceding type called dept_avg_sal_list: benchmark@ORA10G> create or replace type dept_avg_sal as object 2 ( 3 deptno number(2), 4 avg_sal number 5 ); 6 / Type created. benchmark@ORA10G> create or replace type dept_avg_sal_list as table of dept_avg_sal; 2 / Type created. We are now ready to define our PL/SQL procedure called insert_emp_plsql, which will implement our requirements. In this procedure (defined in the following code), we first bulk collect the department-wide average salary into a variable of type dept_avg_sal_list (please see the section Using Bulk Operations to Boost Performance of 17 if you are not familiar with the bulk collect clause). We then loop through a join between the emp table and the nested table variable l_dept_avg_sal_list (see 8 if you are not familiar with the table clause we use), and insert the data into the appropriate table based on our requirements: benchmark@ORA10G> create or replace procedure insert_emp_plsql 2 as 3 l_dept_avg_sal_list dept_avg_sal_list; 4 begin 5 -- first store the average salary 6 select dept_avg_sal( deptno, avg(sal) )

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7 bulk collect into l_dept_avg_sal_list 8 from emp 9 group by deptno; 10 11 for i in ( select emp.deptno, ename, sal, t.avg_sal as avg_sal 12 from emp, table( l_dept_avg_sal_list ) t 13 where emp.deptno = t.deptno ) 14 loop 15 if( i.sal >= i.avg_sal ) then 16 insert into above_avg_emp( deptno, ename, sal) values( i.deptno, i.ename, i.sal ); 17 else 18 insert into below_avg_emp( deptno, ename, sal) values( i.deptno, i.ename, i.sal ); 19 end if; 20 end loop; 21 end; 22 / Procedure created. This procedure works, but can we use our SQL knowledge to improve upon it Yes, indeed we can (we will compare performance of all these alternatives later). We need a SQL statement that selects the department name, employee name, and salary, and a flag that indicates whether or not the employee salary is above the average salary for the department. We can then use the multitable insert technique to write a single SQL statement that does our job. We will test our SQL statement in the SCOTT schema. We will also set autotrace on to measure the LIOs incurred. The following SQL statement uses a co-related subquery to achieve our objective (note again that we run it in the SCOTT schema). Apart from the required columns, it computes a flag called above_avg_flag, which has the value Y for employees with above average salaries, and the value N otherwise: scott@ORA10G> select deptno, ename, sal, 'Y' as above_avg_flag 2 from emp e1 3 where e1.sal >= (select avg(sal) 4 from emp e2 5 where e1.deptno = e2.deptno) 6 union all 7 select deptno, ename, sal, 'N' 8 from emp e1 9 where e1.sal < (select avg(sal) 10 from emp e2 11 where e1.deptno = e2.deptno) 12 order by deptno, ename, sal;

DEPTNO ---------10 10 10 20 20 20 20 20 30 30 30 30 30 30

The ConfirmButtonExtender control, as the name suggests, captures the Click event of a button and displays a confirmation dialog box. If the user clicks OK after that, the button will function as implemented; otherwise, the Click event will simply be ignored. This control is so simple that it only has two properties: TargetControlID and ConfirmText. As you probably have guessed already, TargetControlID contains the ID of the target button, and ConfirmText holds the text message that will be displayed in the dialog box requiring user confirmation.

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