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CHAPTER 25 ASYNCHRONOUS METHODS AND PARALLEL LOOPS
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The lambda expression used in the foreach loop calls Stop when the current fruit name begins with b or if the ShouldExitCurrentIteration property returns true. Compiling and running Listing 25-9 produces the following result: grape Found mango apple Press has 5 characters match: banana has 5 characters has 5 characters enter to finish
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The results show that the grape, mango, and apple items were being processed in parallel with the banana item, which triggered a call to the Stop method. The lambda expression checks the ShouldExitCurrentIteration property frequently, which minimizes the amount of needlessly processed data. To change the lambda expression so that it doesn t check this property, do this: Parallel.ForEach<string>(fruits, (dataItem, loopstate) => { if (dataItem[0] == 'b') { Console.WriteLine("Found match: {0}", dataItem); loopstate.Stop(); } else { Console.WriteLine("{0} has {1} characters", dataItem, dataItem.Length); } }); Compiling and running this revised version of Listing 25-9 produces the following output, which shows that more items are processed following the Stop method being called: apple has 5 characters grape has 5 characters mango has 5 characters plum has 4 characters Found match: banana persimmon has 9 characters lime has 4 characters cherry has 6 characters orange has 6 characters Press enter to finish The Break method ensures that at least all of the items that precede the current item are processed the key term is at least, because more data than is required to achieve that goal may be processed. Once again, the use of the ShouldExitCurrentIteration property can help reduce unneeded processing. Listing 25-10 demonstrates the use of the Break method.
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CHAPTER 25 ASYNCHRONOUS METHODS AND PARALLEL LOOPS
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Listing 25-10. Breaking a Parallel Foreach Loop using System; using System.Threading.Tasks; class Listing 09 { static void Main(string[] args) { // create a datasource string[] fruits = new string[] { "apple", "plum", "cherry", "grape", "banana", "pear", "mango" ,"persimmon", "lemon", "lime", "coconut", "pineapple", "orange"}; // create a parallel loop to process each item Parallel.ForEach<string>(fruits, (dataItem, loopstate) => { if (dataItem[0] == 'b' || loopstate.ShouldExitCurrentIteration) { Console.WriteLine("Found match: {0}", dataItem); loopstate.Break(); } else { Console.WriteLine("{0} has {1} characters", dataItem, dataItem.Length); } }); // wait for input before exiting Console.WriteLine("Press enter to finish"); Console.ReadLine(); } } The Break method is called when the banana item is processed (it is the only one that begins with the letter b). This means that all of the items that precede banana in the data source should be processed, even if that means processing chunks that have yet to be started. The output from Listing 25-9 should show that at least the apple, plum, cherry, and grape items should be processed. Compiling and running Listing 25-9 produces the following results: apple has 5 characters orange has 6 characters grape has 5 characters lime has 4 characters mango has 5 characters plum has 4 characters Found match: banana persimmon has 9 characters coconut has 7 characters cherry has 6 characters Press enter to finish
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CHAPTER 25 ASYNCHRONOUS METHODS AND PARALLEL LOOPS
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You can see from the output that all of the required items are indeed processed, as well as some additional items that were not required.
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In this chapter, you have learned about two simple alternatives to the Task-based parallel programming seen in 24. You first looked at asynchronous methods, which pre-date the Task Parallel Library. These methods can be used with library classes that implement Begin and End methods and, via delegates, with any method you are interested in. You also saw how to create a Task from an asynchronous method so that it can be used as the foundation for a continuation chain (see 24 for details of Task chains). You also looked at parallel loops, which are built on the TPL and allow you to create parallel versions of the for and foreach loop. These loops can deliver significant performance increases over their sequentially-executed counterparts and are quick and simple to implement.
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