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Paint pdf417 2d barcode in visual C#.net Returning Formal Data Structures

CHAPTER 8 UNDERSTANDING PERFORMANCE OPTIMIZATION METHODS
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Figure 12-4. Name the new class ZStackPanel.
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internal Uri Uri { get; set; } internal Uri RedirectUri { get; set; } internal object Content { get; set; } The following is the implementation of the constructor. public AuthLoaderAsyncResult(Uri uri, object asyncState) { this.AsyncState = asyncState; this.Uri = uri; }
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A StackPanel is a simple layout control that organizes controls into vertical or horizontal stacks; that is, the controls are placed one after the other in order. We are going to use vertical StackPanel controls in the first two columns of our Grid control to organize the Label and TextBox controls that make up the left side of the display. Drag a StackPanel to the leftmost column in the Grid, and drop it there. We want the StackPanel to fill the column entirely and to resize as the column resizes. We could do this using the design surface, but it is quicker to simply change some property values. Select the StackPanel, and open the Layout section of the Properties window. For each property in the Layout section, right-click the black diamond, and select Reset value from the pop-up menu. The Width and Height properties will reset to Auto, and the HorizontalAlignment and VerticalAlignment properties will reset to Stretch, making sure that the StackPanel will fill the Grid column in which it resides and resize when the column resizes. The Margin property defines how much space there is around a control. We don t want any margin at all, so resetting it to zero removes any border around the StackPanel. The Grid.ColumnSpan property defines how many columns in the Grid the StackPanel covers. We want it to fill only one column, so resetting it completes our layout of this first StackPanel. When you have reset the values, you should see something very similar to Figure 35-6 on your design surface.
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The addRole procedure adds a new entry to the Roles table. CREATE PROCEDURE [dbo].[addRole] ( @id int, @name varchar(50), @newLastChanged timestamp output ) AS INSERT INTO Roles (Id,Name) VALUES (@id,@name)
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Figure 13-17. Make the InstallContainer hidden during design time.
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The second method, referred to as optimistic locking, defers all locking up to the point right before the update is performed. In other words, we will modify the information on the screen without a lock being acquired. We are optimistic that the data will not be changed by some other user; hence we wait until the very last moment to find out if we are right. This locking method works in all environments, but it does increase the probability that a user performing an update will lose. That is, when that user goes to update her row, she finds that the data has been modified, and she has to start over. One popular implementation of optimistic locking is to keep the old and new values in the application, and upon updating the data, use an update like this: Update table Set column1 = :new_column1, column2 = :new_column2, .... Where primary_key = :primary_key And decode( column1, :old_column1, 1 ) = 1 And decode( column2, :old_column2, 1 ) = 1 ... Here, we are optimistic that the data doesn t get changed. In this case, if our update updates one row, we got lucky; the data didn t change between the time we read it and the time we got around to submitting the update. If we update zero rows, we lose; someone else changed the data and now we must figure out what we want to do to continue in the application. Should we make the end user re-key the transaction after querying the new values for the row (potentially causing the user frustration, as there is a chance the row will have changed yet again) Should we try to merge the values of the two updates by performing update conflict-resolution based on business rules (lots of code) The preceding UPDATE will, in fact, avoid a lost update, but it does stand a chance of being blocked, hanging while it waits for an UPDATE of that row by another session to complete. If all of your applications use optimistic locking, then using a straight UPDATE is generally OK since rows are locked for a very short duration as updates are applied and committed. However, if some of your applications use pessimistic locking, which will hold locks on rows for relatively long periods of time, or if there is any application (such as a batch process) that might lock rows for a long period of time (more than a second or two is considered long!), then you should consider using a SELECT FOR UPDATE NOWAIT instead to verify the row was not changed, and lock it immediately prior to the UPDATE to avoid getting blocked by another session.
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This feature (abbreviated as JITA), enables an instance of an object to survive for the span of only a single method call. Even if a consumer of this type holds a reference to an instance of it for a long period of time, instances will only be created when the consumer actually calls a method. JITA is configured on a class using the JustInTimeActivation attribute, as in the following class declaration. [JustInTimeActivation(true)] public class JITA : ServicedComponent { //Class Implementation } The only other thing necessary to have COM+ destroy the object after a call is to apply the DeactivateOnReturn attribute. To illustrate the effect JITA has on object lifetimes, examine it via this simple service method. (This class can be found in the Serviced project of the Code07 solution.) //[JustInTimeActivation(true)] public class JITA : ServicedComponent { private DateTime m_CreateStamp; public JITA() { m_CreateStamp = DateTime.Now(); }
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