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It is called with the list of processes returned by Process.GetProcesses. It loops on the list of processes it receives. It filters this list of processes. It returns the filtered list element by element. Although we present the processing as four steps, you already know that the processes are handled one by one thanks to the use of yield return and iterators. If we tell you that OrderByDescending and Select also take IEnumerable<T> and return IEnumerable<T>, you should start to see a pattern. Where, OrderByDescending, and Select are used in turn to refine the processing on the original enumeration. These methods operate on enumerations and generate enumerations. This looks like a Pipeline pattern, don t you think
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Introducing query operators
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Do you remember how we said in chapter 2 that extension methods are basically static methods that can facilitate a chaining or pipelining pattern If we remove the dot notation from this code snippet
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var processes = Process.GetProcesses() .Where(process => process.WorkingSet64 > 20*1024*1024) .OrderByDescending(process => process.WorkingSet64) .Select(process => new { process.Id, Name=process.ProcessName });
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and transform it to use standard static method calls, it becomes listing 3.6.
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Listing 3.6 A query expressed as static method calls
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var processes = Enumerable.Select( Enumerable.OrderByDescending( Enumerable.Where( Process.GetProcesses(), process => process.WorkingSet64 > 20*1024*1024), process => process.WorkingSet64), process => new { process.Id, Name=process.ProcessName });
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Again, you can see how extension methods make this kind of code much easier to read! If you look at the code sample that doesn t use extension methods, you can see how difficult it is to understand that we start the processing with a list of processes. It s also hard to follow how the method calls are chained to refine the results. It is in cases like this one that extension methods show all their power. Until now in this chapter, we ve stressed several characteristics of extension methods such as Where, OrderByDescending, and Select:
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They work on enumerations. They allow pipelined data processing. They rely on delayed execution.
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All these features make these methods useful to write queries. This explains why these methods are called query operators. Here is an interesting analogy. If we consider a query to be a factory, the query operators would be machines or engines, and sequences would be the material the query operators work on (see figure 3.2):
A sequence is provided at the start of the processing.
LINQ building blocks
Figure 3.2 A LINQ query represented as a factory where query operators are machines and sequences are the material.
Several operators are applied on the sequence to refine it. The final sequence is the product of the query.
Don t be misled by figure 3.2. Each element in the sequence is processed only when it is requested. This is how delayed execution works. The elements in sequences are not processed in batch, and maybe even not all processed if not requested. As we ll highlight in chapter 5, some intermediate operations (such as sorting and grouping) require the entire source be iterated over. Our OrderByDescending call is an example of this.
NOTE
If we look at listing 3.6, we could say that queries are just made of a combination of query operators. Query operators are the key to LINQ, even more than language constructs like query expressions.
The standard query operators
Query operators can be combined to perform complex operations and queries on enumerations. Several query operators are predefined and cover a wide range of operations. These operators are called the standard query operators. Table 3.1 classifies the standard query operators according to the type of operation they perform.
Table 3.1 Family Filtering Projection Partitioning Join The standard query operators grouped in families Query operators
OfType, Where Select, SelectMany Skip, SkipWhile, Take, TakeWhile GroupJoin, Join
Introducing query expressions
Table 3.1 Family
The standard query operators grouped in families (continued) Query operators
Concatenation Ordering Grouping Set Conversion Equality Element
Concat OrderBy, OrderByDescending, Reverse, ThenBy, ThenByDescending GroupBy, ToLookup Distinct, Except, Intersect, Union AsEnumerable, AsQueryable, Cast, ToArray, ToDictionary, ToList SequenceEqual ElementAt, ElementAtOrDefault, First, FirstOrDefault, Last, LastOrDefault, Single, SingleOrDefault DefaultIfEmpty, Empty, Range, Repeat All, Any, Contains Aggregate, Average, Count, LongCount, Max, Min, Sum
Generation Quantifiers Aggregation
As you can see, many operators are predefined. For reference, you can find this list augmented with a description of each operator in the appendix. You ll also learn more about the standard query operators in chapter 4, where we ll provide several examples using them. We ll then demonstrate how they can be used to do projections, aggregation, sorting, or grouping. Thanks to the fact that query operators are mainly extension methods working with IEnumerable<T> objects, you can easily create your own query operators. We ll see how to create and use domain-specific query operators in chapter 12, which covers extensibility.
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