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// Store object in a local file. using(Stream fStream = new FileStream("user.dat", FileMode.Create, FileAccess.Write, FileShare.None)) { binFormat.Serialize(fStream, userData); } Console.ReadLine(); } .NET object serialization makes it easy to persist objects; however, the processes used behind the scenes are quite sophisticated. For example, when an object is persisted to a stream, all associated data (e.g., base class data and contained objects) are automatically serialized, as well. Therefore, if you attempt to persist a derived class, all data up the chain of inheritance comes along for the ride. As you will see, you use an object graph to represent a set of interrelated objects. .NET serialization services also allow you to persist an object graph in a variety of formats. The previous code example uses the BinaryFormatter type; therefore, the state of the UserPrefs object is persisted as a compact binary format. You can also persist an object graph into SOAP or XML format using other types. These formats can be quite helpful when you wish to ensure that your persisted objects travel well across operating systems, languages, and architectures.



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Note WCF prefers a slightly different mechanism for serializing objects to/from WCF service operations; it uses the [DataContract] and [DataMember] attributes. You ll learn more about this in 25.

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Finally, understand that you can persist an object graph into any System.IO.Stream-derived type. In the previous example, you use the FileStream type to persist a UserPrefs object into a local file. However, if you would rather store an object to a specific region of memory, you could use a MemoryStream type instead. All that matters is the fact that the sequence of data correctly represents the state of objects within the graph.





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base.CurrentOrder.CreditCard. ExpYear.ToString(); labelBillingAddress.Text = base.CurrentOrder.CreditCard. Address.AddressLine; labelBillingAddress2.Text = base.CurrentOrder.CreditCard. Address.AddressLine2; labelBillingCity.Text = base.CurrentOrder.CreditCard. Address.City; labelBillingState.Text = base.CurrentOrder.CreditCard. Address.State; labelBillingPostalCode.Text = base.CurrentOrder.CreditCard. Address.PostalCode; labelSubTotal.Text = string.Format( "{0:c}" , base.CurrentOrder.SubTotal ); labelTax.Text = string.Format( "{0:c}" , base.CurrentOrder.Tax ); labelShippingCost.Text = string.Format( "{0:c}" , base.CurrentOrder.ShippingTotal ); labelTotal.Text = string.Format( "{0:c}" , Convert.ToDecimal ( base.CurrentOrder.SubTotal ) + base.CurrentOrder.Tax + base.CurrentOrder.ShippingTotal ); } private void LoadShoppingCart() { LittleItalyVineyard.Common.ShoppingCart shoppingcart = new LittleItalyVineyard.Common.ShoppingCart(); shoppingcart.CartGUID = Utilities.GetCartGUID(); ProcessGetShoppingCart processgetcart = new ProcessGetShoppingCart(); processgetcart.ShoppingCart = shoppingcart; try { processgetcart.Invoke(); gridviewShoppingCart.DataSource = processgetcart.ResultSet; gridviewShoppingCart.DataBind(); } catch { Response.Redirect( "ErrorPage.aspx" ); } }

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When the CLR is attempting to locate unreachable objects, is does not literally examine each and every object placed on the managed heap. Doing so, obviously, would involve considerable time, especially in larger (i.e., real-world) applications. To help optimize the process, each object on the heap is assigned to a specific generation. The idea behind generations is simple: the longer an object has existed on the heap, the more likely it is to stay there. For example, the class that defined the main window of a desktop application will be in memory until the program terminates. Conversely, objects that have only recently been placed on the heap (such as an object allocated within a method scope) are likely to be unreachable rather quickly. Given these assumptions, each object on the heap belongs to one of the following generations: Generation 0: Identifies a newly allocated object that has never been marked for collection. Generation 1: Identifies an object that has survived a garbage collection (i.e., it was marked for collection but was not removed due to the fact that the sufficient heap space was acquired). Generation 2: Identifies an object that has survived more than one sweep of the garbage collector.

Note Generations 0 and 1 are termed ephemeral generations. As explained in the next section, you will see that the garbage collection process does treat ephemeral generations differently.

The garbage collector will investigate all generation 0 objects first. If marking and sweeping (or said more plainly, getting rid of) these objects results in the required amount of free memory, any surviving objects are promoted to generation 1. To see how an object s generation affects the collection process, ponder Figure 8-5, which diagrams how a set of surviving generation 0 objects (A, B, and E) are promoted once the required memory has been reclaimed.

If all generation 0 objects have been evaluated, but additional memory is still required, generation 1 objects are then investigated for reachability and collected accordingly. Surviving generation 1 objects are then promoted to generation 2. If the garbage collector still requires additional memory, generation 2 objects are evaluated. At this point, if a generation 2 object survives a garbage collection, it remains a generation 2 object given the predefined upper limit of object generations. The bottom line is that by assigning a generational value to objects on the heap, newer objects (such as local variables) will be removed quickly, while older objects (such as a program s application object) are not bothered as often.

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