Summary
In this chapter, we learned about the power of PLINQ to introduce parallel processing to our LINQ queries. We started by looking at how PLINQ differs from standard LINQ queries. Next, we explored how to introduce PLINQ into existing code by converting some standard LINQ queries. It is important to understand how PLINQ is impacting the performance of your applications, and we examined some timings in our sample applications. (Later, in Chapter 10, we will discuss some tools to test your application performance while testing it locally.) We covered some optimizations you can make to your queries with merge options and data ordering. Finally, we wrapped up by touching on some other .NET data structures and types to help provide type safety and performance to your applications.
In the next chapter, we will explore each of the concurrent collections in the System.Collections.Concurrent namespace in depth. The concurrent collections are key to ensuring that your parallel and...
