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Our method has the same declaration as the method in the LINQ source code To see that declaration, type in a query with a operator Use query method syntax, as shown in Listing 415 Place the , right-click, and select Go to de mouse cursor over the word , and you also see the nition You are taken to the declaration for declaration for all the other LINQ operators
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Looking at our query, we see that the delegate is passed the following lambda expression:
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The loop in the method iterates over our collection of numbers, pulling them out one at a time, just as we showed in the section Deferred Execution It pulls the number 1 rst and passes it to the predicate:
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The predicate compares the number 1 to the number 3, sees that it is method then s smaller, and returns true The code in the in the loop found in the this value, and it is printed to the method Then is called again, and this time the number 2 is method It is run through the predicate, returns pulled from our loop and printed to the screen, and so true, is passed back to the is returned, the item on Each item is passed to the predicate, and, if ed Otherwise, the loop simply iterates the next is has been tested through , just as item until the last item in before You are now seeing the entire scope of the LINQ query, witnessing exactly how each portion of it is implemented
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At this stage, you know almost everything there is to know about LINQ to Objects You have seen how extension methods, lambdas, and iterators come together to form a query language that works with collections This background knowledge will act as a foundation on which you can build a deep understanding of LINQ to Objects
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After getting a close look at LINQ to Objects, you might think that this tour through the LINQ architecture would be complete Yet one more key feature is left to explore This feature is not part of LINQ to Objects, but it does play a key role in other technologies, such as LINQ to SQL In LINQ to Objects, the data that is being queried is local and is stored in interface That is not the case, objects that support the however, in LINQ to SQL In that scenario, the data is stored in a different process, which is likely to be running on a different machine And, of course, the data structures in a relational database know nothing about The technology for calling a database from a C# program already exists, so at least that part of the problem is solved Two issues, however, still need to be resolved: How do we translate a query expression into a SQL statement that can be sent to a server How do we convert the data we get back from the SQL server into objects that LINQ can query The answer to the second question is covered later in this book, in s 7 through 10 The rst question, however, is one that you need to come to terms with if you want to understand the LINQ architecture Expression trees allow you to convert code into data In particular, they make it possible to convert a query expression into a data structure A LINQ provider can then parse that data structure, determine what data the developer wants, and then retrieve it For instance, an expression tree can convert
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a LINQ to SQL query expression into a data structure, parse that data structure, and compose a SQL statement based on its contents It can then use conventional techniques to execute that SQL statement and return the results to the developer In this chapter, I ll explain the basics of this process, and then in 17, LINQ Everywhere, you will be introduced to providers that parse entire expression trees and convert them into useful code Let s begin by creating a simple expression tree based on a lambda As you can see from Listing 416, the rst step is to use the namespace After you have included the namespace, you can create an
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