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(CSV) data files, which are supported by practically every office suite program ever made.
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ClickOnce applications use security certificates to identify the identity of an application author (publisher) to the user installing the application. Figure 7-9 depicts the philosophy behind security certificates.
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These options relate to the specific application you re using. For example, if you select to customize a toolbar within Writer, the Application category menu will offer functions to start AutoPilots (effectively wizards) that will build word processor documents. This category offers options related to the look and feel of the suite, such as which items are visible within the program interface. In this category, you ll find options related to the creation and use of document templates. This category contains options related to cutting, pasting, and copying items within the document, as well as updating elements within it. These are various options that relate to configuration choices in, allowing you to control how it works. Options under this category relate to the creation and playback of macros. This category includes options related to inserting objects, such as sound, graphics, and elements from other documents. This category provides options specific to document control, such as those related to exporting documents as PDF files or simply saving files. Here, you ll find a range of options related largely to text formatting, but also some concerned with formatting other elements, such as drawings and images.
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In the past, we have used 1 / num_distinct for the correction factor and not worried about whether we should perhaps use the density. In most cases, it is actually the density that needs to be used, so our formula becomes the following: selectivity = ('required range' / 'total range of bucket' ) + 2 * density = (20030105 - 20021230) / (20030111 - 20021227) + 2 * 0.000547345 = 8875 / 8884 + 0.00109469 = 1.00008 But this is the selectivity that has to be applied to the number of rows in the buckets involved not to the entire table and there are 1,827 / 120 = 15 rows per bucket round(15 * 1.00008) = 15, as required. You will notice that every single value in the table appears exactly the same number of times. There are no values with very large numbers of occurrences. According to the traditional rules of thumb (small number of popular values, etc.) this data set does not need a histogram. But as you can see, a histogram makes an enormous difference to the optimizer.
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animations, 3D, graphics APIs, multimedia, and more. If you want to look more into WPF, it s a good idea to check out Foundations of WPF: An Introduction to Windows Presentation Foundation (Apress, 2006), which takes you through a primer in this development API, and Applications = Code + Markup (Microsoft Press, 2006), which gives a very detailed look at the XAML API, going into depth on each of the tags, from controls to timelines and from layouts to multimedia.
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You can back up not only the data, but also, and just as importantly, the transaction log for the database. Just to recap, the transaction log is a file used by databases to log every transaction, including DML actions such as rebuilding indexes. In other words, every data modification that has taken place on any table within the database will be recorded within the transaction log. The transaction log is then used in many different scenarios within a database solution, but where it is most useful, from a database recovery point of view, is when a database crashes. In this case, the transaction log can be used to move forward from the last data backup, using the transactions listed within the transaction log. If a database crash occurs, then the full and differential backups will only take you to the last valid backup. For data entered since that point, the only way to restore the information is to then replay the transactions that were committed and recorded as committed in the transaction log. Any actions that were in progress at the time of the failure that were within a transaction that was still in progress would have to be rerun from the start. So, to clarify, if you were in the process of deleting data within a table and the power was switched off, you would use your full and differential backups to restore the data. You would then use the information within the transaction log to replay all successful transactions, but because the delete had not been successful, the table would have all the data still within it. Backing up the transaction log is a good strategy to employ when a large number of updates occur to the data through the day. A transaction log backup should take place at set times throughout the day depending on how large the transaction log has grown and how crucial it was to get your system back up and running after any unexpected outage. When a transaction log is backed up, the transaction log itself is logically shrunk in size so that the transaction log is kept small. It also gives you point-in-time recoverability; this means that you can quickly restore to any time in the past where the transaction was backed up. Backing up a transaction log is similar to backing up a database. The full syntax is as follows and really only differs from a database backup by using the LOG keyword instead of DATABASE and the options NO_TRUNCATE and NORECOVERY/STANDBY: BACKUP LOG { database_name | @database_name_var } { TO <backup_device> [ ,...n ] [ [ MIRROR TO <backup_device> [ ,...n ] ] [ ] ] [ WITH [ BLOCKSIZE = { blocksize | @blocksize_variable } ] [ [ , ] { CHECKSUM | NO_CHECKSUM } ] [ [ , ] { STOP_ON_ERROR | CONTINUE_AFTER_ERROR } ] [ [ , ] DESCRIPTION = { 'text' | @text_variable } ] [ [ ,] EXPIREDATE = { date | @date_var } | RETAINDAYS = { days | @days_var } ] [ [ , ] PASSWORD = { password | @password_variable } ] [ [ , ] { FORMAT | NOFORMAT } ] [ [ , ] { INIT | NOINIT } ] [ [ , ] { NOSKIP | SKIP } ] [ [ , ] MEDIADESCRIPTION = { 'text' | @text_variable } ] [ [ , ] MEDIANAME = { media_name | @media_name_variable } ] [ [ , ] MEDIAPASSWORD = { mediapassword | @mediapassword_variable } ]
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#import <UIKit/UIKit.h> #include <AudioToolbox/AudioToolbox.h> #import <ExternalAccessory/ExternalAccessory.h> #import "GameController.h" #import "pongAppDelegate.h" @interface pongViewController : UIViewController { pongAppDelegate *appDelegate;
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3: The Portlet Life Cycle
private void start() { state = STATE_LOADING; status.setText("Loading"); if (player == null) { (new Thread() { public void run() { try { if (location != null) { player = Manager.createPlayer(location); } else { player = Manager.createPlayer(source, type);
Figure 14-23. Report output As Figure 14-23 shows, the report output has the proper data grouping on ProductModel. You ll also notice that automatic subtotals are available for each group. Since we selected the block table layout, all data appears with blocks with all the borders (top, bottom, right, and left) set. What if you would like to change the color or size of the borders Well, feel free to modify this report as you do normally. Once the wizard is finished with its process, the ball comes back to your court. You can fine tune the report s look and content according to your requirements.
public abstract class UserAccountDaoTestHelper extends TestCase { private UserAccountDao dao; private ConfigHelper helper; public void testSaveUserRoles() { final UserAccount account = new UserAccount("testuser3"); final UserRole admin = new UserRole("admin"); account.getRoles().add(admin); dao.create(account); helper.clear(); assertNotNull(account.getId()); assertNotNull(admin.getId());
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