End Sub

 

Note: The calls to the Select(), OrderBy(), and Where() methods, which were previously being made on Enumerable, are now being made on ParallelEnumerable. Also notice that a call to AsParallel() has been added to the data source.

 

9. Build and run the application.

10. You should observe the LINQ query no longer performs the operations in a particular order. Also note that in this example the parallelized version completes in less time than the non-parallelized version (in this case, it completed in roughly half the time due to it being run on a dual-core machine; your results will vary based on the hardware you run this example on).

Figure 14

Output from a parallelized LINQ query

 

Note: The operations are executed in parallel with as many operations occurring concurrently as the number of physical cores will allow.

 

 

Task 2 – Using the ParallelEnumerable Class’ Extension Methods to Parallelize LINQ

As mentioned earlier, a more succinct way to take advantage of the Enumerable and ParallelEnumerable classes’ static LINQ methods is to use them as Extension methods.

1. Converting a non-parallelized LINQ query implemented using extension methods to a PLINQ query is straight forward. Replace the PLINQ query in the Main() method to match the following LINQ query:

C#

static void Main(string[] args)

{

...

// Methods to call