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Listing 28-1. A Simple PLINQ Query using System; using System.Collections.Generic; using System.Linq; class Listing 01 { static void Main(string[] args) { string[] fruits = new string[] { "apple", "plum", "cherry", "grape", "banana", "pear", "mango" , "persimmon", "lemon", "lime", "coconut", "pineapple", "orange"}; // define a regular LINQ to Objects query var regularResults = from e in fruits where e[0] == 'p' select new { Name = e, Length = e.Length }; // enumerate the regular results Console.WriteLine("--- Regular LINQ Results ---"); foreach (var item in regularResults) { Console.WriteLine("Result - Name: {0}, Length: {1}", item.Name, item.Length); } // define the same query using PLINQ var parallelResults = from e in fruits.AsParallel() where e[0] == 'p' select new { Name = e, Length = e.Length }; // enumerate the parallel results Console.WriteLine("--- Parallel LINQ Results ---"); foreach (var item in parallelResults) { Console.WriteLine("Result - Name: {0}, Length: {1}", item.Name, item.Length); } // wait for input before exiting Console.WriteLine("Press enter to finish"); Console.ReadLine(); } }



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The first query in Listing 28-1 filters for items that start with the letter p and projects an anonymous type containing the value and the length of the value. The second query does exactly the same thing, but applies the AsParallel method to the data source (as illustrated by Figure 28-1), meaning that the second query is performed in parallel using PLINQ.





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Figure 28-1. The anatomy of a PLINQ query When you use regular LINQ, each item is taken from the data source and processed sequentially. When you use PLINQ, the items in the data source are divided into chunks and the chunks are processed in parallel using Tasks. This is similar to the difference between a regular loop and a parallel loop as described in 25. You can find out more about Tasks and parallel programming in 24. Compiling and running Listing 28-1 produces the following results: --- Regular LINQ Results --Result - Name: plum, Length: 4 Result - Name: pear, Length: 4 Result - Name: persimmon, Length: Result - Name: pineapple, Length: --- Parallel LINQ Results --Result - Name: persimmon, Length: Result - Name: pineapple, Length: Result - Name: plum, Length: 4 Result - Name: pear, Length: 4 Press enter to finish

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This is a design principle that is fundamental to the WS-Specifications. The term composability alludes to the fact that many of the WS-Specifications are independent of each other and that a given Web service may not need to implement them all. For example, one Web service may require security but not reliable messaging. Another Web service may require transactions, but not policy. Composability allows a developer to implement only those specifications that are required. The WS-Specifications support this because they are implemented as discrete sections within the SOAP message header (see Listing 5-1 for an example).

And that s all it takes to get started with PLINQ: you call the AsParallel method on your data source. There is no C# keyword available for AsParallel, which means that you must mix query and method syntax, or use just method syntax. Listing 28-2 demonstrates the parallel query from Listing 28-1 written using method syntax. Listing 28-2. A Parallel Query Written in Method Syntax using System; using System.Collections.Generic; using System.Linq; class Listing 02 { static void Main(string[] args) { string[] fruits = new string[] { "apple", "plum", "cherry",

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"grape", "banana", "pear", "mango" , "persimmon", "lemon", "lime", "coconut", "pineapple", "orange"}; // define a parallel query using method syntax var parallelResults = fruits.AsParallel() .Where(e => e[0] == 'p') .Select(e => new { Name = e, Length = e.Length }); // enumerate the results foreach (var item in parallelResults) { Console.WriteLine("Result - Name: {0}, Length: {1}", item.Name, item.Length); } // wait for input before exiting Console.WriteLine("Press enter to finish"); Console.ReadLine(); } }

If you are particularly observant, you will have noticed that the output of the PLINQ query in Listing 28-1 was different from the output of the sequential LINQ query the order of the items was different. When you use regular, sequential LINQ, the order of the results depends on the order of the items in the data source. The first item that passes the filter in a where clause, for example, will be the first item projected into the results by a select clause, as illustrated by Figure 28-2.

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