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After you have configured the application extension mapping, all requests for that file type are forwarded to ASP.NET and to your handler. To enable normal image processing in most areas of your website, create a separate virtual directory just for dynamically generated images.

div.window{ position: absolute; overflow: auto; background-color: #eeefff; border: solid #0066aa 2px; margin: 8px; padding: 0px; Geometry width: 420px; of element height: 280px; } div.titlebar{ background-color: #0066aa; background-image: url(images/titlebar_bg.png); background-repeat: repeat-x;

Order ord1 = new Order(); ord1.ID = 98; ord1.Date = new DateTime(2002,7,4); ord1.Total = 145.90; emp.Orders.Add(ord1); Order ord2 = new Order(); ord2.ID = 101; ord2.Date = new DateTime(2002,7,24); ord2.Total = 2000.00; emp.Orders.Add(ord2); After initializing the members as shown in the preceding code, the final output looks like this: < xml version="1.0" encoding="utf-16" > <Employee xmlns:d="urn:dino-e-xml" xmlns:x="urn:mspress-xml"> ... <d:LastOrder> <d:ID>123</d:ID> <d:Date>2002-08-12T00:00:00.0000000+02:00</d:Date> <d:Total>1245.23</d:Total> </d:LastOrder> <d:Orders> <d:anyType d3p1:type="d:Order" xmlns:d3p1="http://www.w3.org/2001/XMLSchema-instance"> <d:ID>98</d:ID> <d:Date>2002-07-04T00:00:00.0000000+02:00</d:Date> <d:Total>145.9</d:Total> </d:anyType> <d:anyType d3p1:type="d:Order" xmlns:d3p1="http://www.w3.org/2001/XMLSchema-instance"> <d:ID>101</d:ID> <d:Date>2002-07-24T00:00:00.0000000+02:00</d:Date> <d:Total>2000</d:Total> </d:anyType> </d:Orders> </Employee> As you can see, the XML code being generated contains very little type information. This is not a specific feature of XML serialization, however. The run-time object serialization process also considers type information optional at least in most cases. This standpoint is quite reasonable. Serialization is just a way to persist the state of an object. During deserialization, an instance of the object will be created from the 401

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However, having multiple threads call Console.WriteLine simultaneously actually hurts performance since the Console class internally synchronizes threads, ensuring that only one at a time can access the console window . This prevents text from multiple threads from being interspersed, making the output unintelligible . Use the ForAll method when you intend to perform calculations on each result . Since Parallel LINQ processes items using multiple threads, the items are processed concurrently and the results are returned in an unordered fashion . If you need to have Parallel LINQ preserve the order of items as they are processed, then you can call ParallelEnumerable s AsOrdered method . When you call this method, threads will process items in groups and then the groups are merged back together, preserving the order; this will hurt performance . The following operators produce unordered operations: Distinct, Except, Intersect, Union, Join, GroupBy, GroupJoin, and ToLookup . If you wish to enforce ordering again after one of these operators, just call the AsOrdered method . The following operators produce ordered operations: OrderBy, OrderByDescending, ThenBy, and ThenByDescending . If you wish to go back to unordered processing again to improve performance after one of these operators, just call the AsUnordered method . Parallel LINQ offers some additional ParallelEnumerable methods that you can call to control how the query is processed:

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Provided that a covering index is in place defined with the cursor ordering columns as the index keys and the measure you re aggregating as an included column, the cursor solution scans the data only once without the need for sorting . If you have p partitions with an average of r rows per partition, and a relatively uniform distribution of rows per partition, you can express the cost of this solution as p r + p r o, where o, as before, represents the cursor overhead . Therefore, the complexity of this solution is linearly proportional to the number of partitions and linearly proportional to the partition size . Assuming you have the aforementioned index in place, the cost of the set-based solution can be expressed as p r + p (r + r 2)/2. With respect to the number of partitions, the complexity of the set-based solution is linear, but with respect to the partition size, it s quadratic, or O(n2) . If the partition size grows by a factor of f, the cost increases by almost f 2 . Without the aforementioned index in place, of course, things are even worse . When the partition size is small, the set-based solution will typically be faster than the cursor solution . That s when the cursor s overhead exceeds the set-based solution s extra work of

FileAttributes fa = FileAttributes.System; fa = fa.Set(FileAttributes.ReadOnly); fa = fa.Clear(FileAttributes.System); fa.ForEach(f => Console.WriteLine(f));

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