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Rather than filling the buffer completely, the number of read bytes is returned by the read() method When you know the exact size of the input, you should use the DataInputStreamreadFully( byte[] ) method instead A third problem is that you do not close the input stream when the read() method throws an exception This could lead to memory leaks in your application Listing 15-6 Reading a Resource Incorrectly public byte[] readResource( String url ) throws IOException { InputStream in = getClass()getResourceAsStream( url ); // the following always returns 0 on Symbian and Motorola: int available = inavailable(); byte[] buffer = new byte[ available ]; // this is not guaranteed to work either: inread( buffer ); // the input stream is not guaranteed to be closed, // since inread() may throw an exception in.

Figure 4-6. The mapTypeControl positioned at the bottom These positions are relative to the other controls in the map. So, if you have two controls at the same position, the one added first will be the one closest to the edge of the map.

EmployeeStatus status = emp.getStatus(); double accruedDays = calculateAccrual(status); if accruedDays > 0 { em.lock(emp, LockModeType.PESSIMISTIC_WRITE); emp.setVacationDays(emp.getVacationDays() + accruedDays); }

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close(); return buffer; } Listing 15-7 shows a defensive implementation of the same method that works on Motorola and Symbian devices as well You read the resource as long as the read() method signals the end of the stream by returning -1 You also use a ByteArrayOutputStream for buffering the read bytes Last but not least, you surround the actual reading of the resource with a try {..} finally block The finally block executes even when an exception occurs in the surrounded code The resulting application is much more complicated than the original one, but, hey, it works!.

The session bean uses container-managed transactions, thus a new transaction is started when the accrueEmployeeVacation() method is called The pessimistic lock is within the container transaction and happens only if there is something to add, so we appear to not be acquiring the lock unnecessarily On the surface it all seems to be clever and correct It isn t, however, and has some flaws that must be remedied before any process that calls this code should be started Ignoring the possibility that the employee may not exist (and the find() method might return null) the most serious problem is that the code assumes the pessimistic lock is retroactive to the time the employee was read.

The map type control displays the different map types available for the user. You can control which map types will appear with the help of the property mapTypeIds. It takes an array containing the different MapType controls you want to use. Listing 4-6 shows how to add ROADMAP and SATELLITE as possible choices for the mapControlType control. Don t worry if you find the syntax confusing. I will explain how arrays work in more detail in 5. Listing 4-6. The mapTypeControlOptions mapTypeIDs Property var options = { zoom: 3, center: new google.maps.LatLng(37.09, -95.71), mapTypeId: google.maps.MapTypeId.ROADMAP, mapTypeControl: true, mapTypeControlOptions: { mapTypeIds: [ google.maps.MapTypeId.ROADMAP, google.maps.MapTypeId.SATELLITE ] } };

Locking at the last minute in order to minimize the time the exclusive lock is held is the right idea, but the employee data that is being locked in the database might not actually be the same as the state that we are looking at The problem is rooted in the fact that we read the employee at the beginning of the method, but locked it much later, leaving the window open for another process to change the employee Meanwhile, we are using the state of the employee that we initially read, and modifying it If we don t have a version field on the Employee entity, the change that some other process made would be overridden with our stale copy, even though we used a pessimistic lock.

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