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All the sample programs shown so far in this book have used only a single thread and have executed sequentially from the first statement in the program to the last. This is called synchronous programming. Asynchronous programming refers to programs that spawn multiple threads, which are, at least conceptually, executed at the same time. (They might not actually be executed at the same time.) If the program is running on a multiprocessor system, the different threads might actually be executing at the same time on different processors. This can considerably improve performance, and as multicore processors become the norm, we need to write our programs to take advantage of this opportunity. On a single-processor system, though, clearly only one instruction can be executed by the processor at a time. In this case, the operating system coordinates the threads so that the processor is shared among them. Each thread gets the processor for a short time, called a time slice, before being kicked off the processor and sent to the back of the line. This round-robin sharing of the processor lets all the threads work their ways through the code.



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13. Look at Listings 8-44 and 8-45. Are those two queries logically equivalent Investigate the two queries and explain the differences, if any. Solution 8-13. Making the Difference Visible with FEEDBACK SQL> set feedback 1 SQL> select o.location from offerings o 2 MINUS 3 select d.location from departments d; LOCATION -------SEATTLE





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Now bring up the Attributes Inspector. Click to turn off both the Display When Stopped and Indeterminate checkboxes, then set its Minimum and Current values to 0, and its Maximum value to 4. Now switch to the Bindings Inspector, where you ll configure two bindings. First, bind its Animate attribute to the app delegate s isWorking key, just like you did for the circular progress indicator. Then, bind its Value attribute to the app delegate s completed key. Now save your work, Build & Run, and click the Start button. You should now see that beside the circular progress indicator, a horizontal progress indicator also appears, with a bar moving across as each of the work-methods completes.

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The publisher must provide the event and often provides the code to raise the event. Creating an event is simple it requires only a delegate type and a name. The syntax for an event declaration is shown in the following code, which declares an event called Elapsed. Notice the following about event Elapsed: It is declared inside a class called MyTimerClass. It accepts event handlers with the return type and signature matching the delegate type EventHandler. It is declared public so that other classes and structs can register event handlers with it.

2 rows selected. SQL> select DISTINCT o.location 2 from offerings o 3 where o.location not in 4 (select d.location 5 from departments d); LOCATION -------SEATTLE 1 row selected. SQL> If you change the SQL*Plus FEEDBACK setting to 1, the difference becomes apparent. We have one course offering with unknown location, and (as you know by now) you cannot be too careful with null values. The first query produces two rows. The null value appears in the result because the MINUS operator does not remove the null value. However, if the second query checks the ERM course offering (with the null value) the WHERE clause becomes ... where NULL not in ('NEW YORK','DALLAS','CHICAGO','BOSTON'); This WHERE clause returns UNKNOWN. Therefore, the row does not pass the WHERE clause filter, and as a consequence the result contains only one row.

class MyTimerClass { Keyword Name of event public event EventHandler Elapsed; Delegate type You can declare more than one event in a declaration statement by using a comma-separated list. For example, the following statement declares three events: public event EventHandler MyEvent1, MyEvent2, OtherEvent; Three events You can also make events static, by including the static keyword, as shown in the following declaration: public static event EventHandler Elapsed; Keyword

And there you have it: relatively painless concurrency. Granted, this contrived example isn t much compared to a large application, but these concepts can scale up to handle more complex situations as well. What we ve shown you works well in today s Leopard and iPhone applications, but Apple didn t stop there. Starting with Snow Leopard, most of the design of NSOperation and NSOperationQueue has been reimplemented at a lower level in the OS, resulting in a nice piece of technology called Grand Central Dispatch.

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