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LINQ to Objects has optimizations for some special cases. It looks for an implementation of a standard ICollection<T> interface, which defines a Count property. (This is distinct from the Count operator, which, like all LINQ operators, is a method, not a property.) Collections such as arrays and List<T> that know how many items they contain implement this interface. So the Count operator may be able to avoid having to enumerate the whole collection by using the Count property. And more generally, the nature of the Count operator depends on the source database LINQ providers can arrange for the database to calculate the correct value for Count, avoiding the need to churn through an entire table just to count rows. But in cases where there s no way of knowing the count up front, such as the file enumeration in Example 8-1, Count can take a long time to complete.

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LINQ defines some specialized aggregation operators for numeric values. The Sum operator returns the sum of the values of a given expression for all items in a collection. For example, if you want to find out how many hours of meetings you have in a collection of events, you could do this:

double totalHours = events.Sum(ev => ev.Duration.TotalHours);

Average calculates the same sum, but then divides the result by the number of items, returning the mean value. Min and Max return the lowest and highest of the values cal-

culated by the expression. There s also a general-purpose aggregation operator called Aggregate. This lets you perform any operation that builds up some value by performing some calculation on each item in turn. In fact, Aggregate is all you really need the other aggregation operators are simply more convenient. For instance, Example 8-26 shows how to implement Count using Aggregate.

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When a Java program starts running, the code in its main() method is executed first. The main() method in the program creates a new SimpleWebServer object and calls its run() method. The SimpleWebServer object is a data structure that contains both the code and data that make up the web server. When the line containing new SimpleWebServer() executes, it invokes the constructor method. The constructor is simply a method that creates the SimpleWebServer object it allocates memory for it and initializes the data used by the object. Once the SimpleWebServer object is constructed and initialized, the main() method calls the run() method, which handles all the real work done by the server. The run() method consists of an infinite loop while (true) that waits for a connection from a client, and then attempts to process the client s request. The call to the ServerSocket accept() method returns a socket object that corresponds to a unique socket on the server and allows the server to communicate with the client.

int count = events.Aggregate(0, (c, ev) => c + 1);

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The first argument here is a seed value it s the starting point for the value that will be built up as the aggregation runs. In this case, we re building up a count, so we start at 0. You can use any value of any type here Aggregate is a generic method that lets you use whatever type you like. The second argument is a delegate that will be invoked once for each item. It will be passed the current aggregated value (initially the seed value) and the current item. And then whatever this delegate returns becomes the new aggregated value, and will be passed in as the first argument when that delegate is called for the next item, and so

That s true for LINQ to Objects. However, database LINQ providers may implement Sum, Average, and so on using corresponding database query features. They might not be able to do this optimization if you use the general-purpose Aggregate operator.

on. So in this example, the aggregated value starts off at 0, and then we add 1 each time around. The final result is therefore the number of items. Example 8-26 doesn t look at the individual items it just counts them. If we wanted to implement Sum, we d need to add a value from the source item to the running total instead of just adding 1:

The SimpleWebServer object has two important pieces of data (also called data members), as shown here: 21 22 23 24 25 26 /* Run the HTTP server on this TCP port. */ private static final int PORT = 8080; /* The socket used to process incoming connections from web clients. */ private static ServerSocket dServerSocket;

double hours = events.Aggregate(0.0, (total, ev) => total + ev.Duration.TotalHours);

Everything begins and ends with data. The Internet is a global tool to publish, organize, and share data. With that in mind, it is important to understand the formats commonly used in mashups to send, receive, and store data. Remember, the content of data can be endless. It can contain search results, links, photos, news, video, geographic locations, and audio. The list of content that can be formatted and delivered grows all the time.

Calculating an average is a little more involved we need to maintain both a running total and the count of the number of elements we ve seen, which we can do by using an anonymous type as the aggregation value. And then we can use an overload of Aggregate that lets us provide a separate delegate to be used to determine the final value that gives us the opportunity to divide the total by the count:

double averageHours = events.Aggregate( new { TotalHours = 0.0, Count = 0 }, (agg, ev) => new { TotalHours = agg.TotalHours + ev.Duration.TotalHours, Count = agg.Count + 1 }, (agg) => agg.TotalHours / agg.Count);

Obviously, it s easier to use the specialized Count, Sum, and Average operators, but this illustrates the flexibility of Aggregate.

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