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The problem with documentation (specifically, with motivating yourself to actually do it) is that it s easy to think that of course you ll remember exactly what you did to fix a particular problem. Immediately after you ve just spent several hours, or even several days on it, it s all very clear in your mind and seems incredibly memorable, even obvious. So, you don t stop to document it but instead hurry on to the next problem in your queue. Unfortunately, whatever you may optimistically think, you really don t have that good a memory (sorry!). In six months, when something else similar, or even the same thing on a different machine, crops up, you ll be left with a vague feeling of recognition and maybe a detail or two. Even while you re actually in the process of investigating a problem, it can be easy to lose track of what you re doing. You make lots of changes in a hurry, changing various factors in the hope of getting more information or finding a fix, and then you forget what you just changed, what you changed before that, why you changed it, and whether you tested properly between times. That s why proper documentation, even if only for yourself, really is worth the effort both while you re working and as a record afterward.

Listing 10-2 shows an example of a regular query with its result. The query is a join over three tables, providing information about all employees and their departments. Note that we use an alias in the SELECT clause (see line 6) to make sure that all columns in the query result have different names. See line 2, where you select the ENAME column, too. Listing 10-2. A Regular Query, Joining Three Tables SQL> 2 3 4 5 6 7 8 9 10 11 select , , , , , from e.empno e.ENAME e.init d.dname d.location m.ENAME as MANAGER employees e join departments d using (deptno) join employees m on (e.empno = d.mgr); INIT ----N JAM TF JM P R AB SCJ CC JJ AA R MG TJA DNAME ---------TRAINING SALES SALES TRAINING SALES SALES ACCOUNTING TRAINING ACCOUNTING SALES TRAINING SALES TRAINING ACCOUNTING LOCATION -------DALLAS CHICAGO CHICAGO DALLAS CHICAGO CHICAGO NEW YORK DALLAS NEW YORK CHICAGO DALLAS CHICAGO DALLAS NEW YORK MANAGER ------JONES BLAKE BLAKE JONES BLAKE BLAKE CLARK JONES CLARK BLAKE JONES BLAKE JONES CLARK

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int main(int argc, char *argv[]) { NSAutoreleasePool *pool = [NSAutoreleasePool new]; int retVal = UIApplicationMain(argc, argv, nil, @"HelloWorldAppDelegate"); [pool release]; return retVal; }

The first part of the documentation problem is to keep track of what you re doing while you re doing it. This recipe assumes that you re using bash and a fairly standard Linux setup. While you re actively troubleshooting, do your best to make at least a brief note of everything you try. A dead-tree notebook can be really helpful here. As well as helping you keep track of what you ve already tried, the act of writing things down can sometimes generate new realizations. If you lose track of where you are or what you ve done, scrolling back through your bash history (or looking at ~/.bash_history) will remind you. There are a couple of history settings that you can change to make this easier and more informative. Try adding these lines to your ~/.bashrc:

EMPNO -------7369 7499 7521 7566 7654 7698 7782 7788 7839 7844 7876 7900 7902 7934

Really, the only interesting point to take away from this is that every iOS application uses an NSAutoreleasePool to help you manage memory. In short, by using the autorelease message on objects, you don t have to worry about sending them a release message. The autorelease pool ensures that the memory of autorelease objects is eventually released.

Similarly, if you re implementing something on box 1 and one of your interim tests also passes on box 2, which you haven t changed, then you may be doing more work than you need to do. This is particularly true when working on client-server software, when a change to the server can affect all the clients without you having to do any more work. Checking against your comparison client can find these sorts of problems. Testing regularly can also be a useful part of a system monitoring setup; see 3 for more on system monitoring.

14 rows selected. SQL> Listing 10-3 shows how you can transform this query into a view definition, by inserting one additional line at the beginning of the command.

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