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Listing 4-30. Simple CASE Expression Example select attendee, begindate , case evaluation when 1 then 'bad' when 2 then 'mediocre' when 3 then 'ok' when 4 then 'good' when 5 then 'excellent' else 'not filled in' end from registrations where course = 'S02'; ATTENDEE -------7499 7698 7698 7788 7839 7876 7902 7902 7934 BEGINDATE --------12-APR-99 12-APR-99 13-DEC-99 04-OCT-99 04-OCT-99 12-APR-99 04-OCT-99 13-DEC-99 12-APR-99 CASEEVALUATIO ------------good good not filled in not filled in ok mediocre good not filled in excellent
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Listing 4-31 shows an example of a searched CASE expression. Listing 4-31. Searched CASE Expression Example select ename, job , case when job = 'TRAINER' then ' when job = 'MANAGER' then ' when ename = 'SMITH' then ' else ' end as raise from employees order by raise desc, ename; ENAME -------BLAKE CLARK JONES ADAMS FORD SCOTT SMITH ALLEN JONES KING JOB RAISE -------- ----MANAGER 20% MANAGER 20% MANAGER 20% TRAINER 10% TRAINER 10% TRAINER 10% TRAINER 10% SALESREP 0% ADMIN 0% DIRECTOR 0% 10%' 20%' 30%' 0%'
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0% 0% 0% 0%
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In Listing 4-31, note that SMITH gets only a 10% raise, despite the fourth line of the query. This is because he is a trainer, which causes the second line to result in a match; therefore, the remaining WHEN expressions are not considered.
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Note CASE expressions may contain other CASE expressions. The only limitation is that a single CASE may have a maximum of 255 conditional expressions. Even though you can create large CASE expressions, take care to not use so many embedded conditions that your logic is hard to follow.
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CASE expressions are very powerful and flexible; however, they sometimes become rather long. That s why Oracle offers several functions that you could interpret as abbreviations (or shorthand notations) for CASE expressions, such as COALESCE and NULLIF (both of these functions are part of the ANSI/ISO SQL standard), NVL, NVL2, and DECODE. We will look at some of these functions in the next chapter.
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4.8 Subqueries
Section 4.6 introduced the IN operator. This section introduces the concept of subqueries by starting with an example of the IN operator. Suppose you want to launch a targeted e-mail campaign, because you have a brand-new course that you want to promote. The target audience for the new course is the developer community, so you want to know who attended one or more build (BLD category) courses in the past. You could execute the following query to get the desired result: select attendee from registrations where course in ('JAV','PLS','XML') This solution has at least two problems. To start with, you have looked at the COURSES table to check which courses belong to the BLD course category, apparently (evidenced by the JAV, PLS, and XML in the WHERE clause). However, the original question was not referring to any specific courses; it referred to BLD courses. This lookup trick is easy in our demo database, which has a total of only ten courses, but this might be problematic, or even impossible, in real information systems. Another problem is that the solution is rather rigid. Suppose you want to repeat the e-mail promotion one year later for another new course. In that case, you may need to revise the query to reflect the current set of BLD courses. A much better solution to this problem is to use a subquery. This way, you leave it up to the Oracle DBMS to query the COURSES table, by replacing the list of course codes between the parentheses (JAV, PLS, and XML) with a query that retrieves the desired course codes for you. Listing 4-32 shows the subquery for this example.
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