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If you want to store the value of a SQL*Plus variable (at least temporarily) so you can use it multiple times, you need the next category of SQL*Plus variables: user-defined variables. You can use the SQL*Plus DEFINE command to declare user-defined variables and to assign values to them, as shown in Listing 11-7. Listing 11-7. Assigning Values to User-Defined Variables with DEFINE SQL> define x=7500 SQL> select ename from employees 2 where empno between &x and &x+100;

6:

FIGURE 9-11

Notice that Listing 9-14 uses the ROWNUM pseudo column. You can use this pseudo column in every query. It represents the order in which the rows arrived in the query result. In Exercise 12, Section 9.8, we will look at the ROWNUM pseudo column in more detail.

Antenna Use Considerations You will want to include at least two of the three primary antenna types in your site survey kit, including

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The superior hierarchy is the structure from 1A as the lowest level, reporting to 1B, which in turn reports to 1C, followed through to 1G as the most superior node The U shows the customer master record is Unique in the customer, and the value CHT represents the customer hierarchy type Should you create a new customer account group, for example, a copy of 0001, do not forget to assign the new account group to the list of allowed account groups for partner determination This may be seen in Figure 9-12 The account group assigned to the partner function controls the partner functions that may be used for the account group Now you can proceed with the assignment of the partner functions to a partner determination procedure

In Listing 9-14, the subquery contains an ORDER BY clause. That is rather unusual for a subquery. Normally, you always sort your results in the main query; you never specify an ORDER BY clause in subqueries. However, the Top-N SQL feature is relying on the fact that the subquery is sorted. You could argue that the ROWNUM <= 3 condition is merged into the subquery. Note that the following SQL statement will not give you the same performance as the query in Listing 9-14, because it performs a full sort before even looking at the WHERE clause: SQL> 2 3 4 select from where order empno, sal history rownum <= 3 by msal desc;

The two to include, at a minimum, are omni- and semidirectional antennas Highly directional antennas are more likely to be needed for outdoor site surveys, but you may wish to include this antenna type in any site survey kit just to be certain you are prepared Including multiple omnidirectional antennas with different levels of gain may also be beneficial For example, you could include a standard omni, which is usually around 22 dBi, along with 7 and 12 dBi gain antennas By providing different antenna types, you can test AP installation with patch or panel antennas against omni antennas This can help you provide the right coverage in the right place instead of simply allowing RF energy to be leaked into unneeded areas and, therefore, be wasted

FIGURE 9-12

When determining client connectivity requirements, three questions should be answered:

For further details about the ROWNUM pseudo column and the Top-N SQL feature, refer to Oracle SQL Reference. So far, this chapter expanded your knowledge about subqueries with the ANY, ALL, and EXISTS operators. Moreover, we looked at correlated subqueries and subqueries in other places than the WHERE clause. The next section about subqueries introduces the WITH clause.

To conclude partner determination, we will follow the steps used to create a new determination procedure for a sales document header

What types of clients need to connect At what speeds do they need to connect From what locations do they need to connect

Listing 9-13 showed an example of using a subquery in a FROM clause. We could have written the same query with a slightly different syntax, as shown in Listing 9-15. Listing 9-15. WITH Clause Example SQL> 2 3 4 5 6 7 8 9 10 WITH g AS (select x.deptno , avg(x.msal) avg_sal from employees x group by x.deptno) select e.ename, e.init, e.msal from employees e join g using (deptno) where e.msal > g.avg_sal;

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