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In 11, we learned about HTTP requests and responses in the context of the browser We learned that when a browser needs to load a resource, it sends a request to a server, which the server answers with a response The browser then parses this response to display the data or update the interface This side of the process should be familiar to you by now However, we still haven t considered the other piece of the puzzle: the server itself We know how to send requests and process the received response, but we don t know anything about how the server actually creates those responses Web servers come in different forms, from simple ones written in languages like Lua or Io, to much more complex systems like the Apache HTTP Server and Nginx.

4. Filter the URLs against a set of exclusion and inclusion filters. 5. Filter the URLs against a do not fetch list. 6. Filter the URLs against a recently seen set. 7. Fetch the URLs. 8. Fingerprint the content items. 9. Update the recently seen set. 10. Prepare the work list for the next application. I had 20 machines to work with on this project. The previous incarnation of the application was very complex and used an open source queuing framework for distribution. It performed very poorly. Hundreds of work hours were invested in writing and tuning the application, and the project was on the brink of failure. Hadoop was suggested by a member of a different team. After spending a day getting a cluster running on the 20 machines, and running the examples, the team spent a few hours working up a plan for nine map methods and three reduce methods. The goal was to have each map or reduce method take less than 100 lines of code. By the end of the first week, our Hadoop-based application was running substantially faster and more reliably than the prior implementation. Figure 1-2 illustrates its architecture. The fingerprint step used a third-party library that had a habit of crashing and occasionally taking down the entire machine.

All of them, however, follow a very simple formula when it comes to the request and response cycle It begins, of course, with the web server software itself As I said, web servers take a multitude of forms, and there s really no general engineering format that can describe them all There is, however, a similarity in their architecture: all web servers will have some form of listening loop that lets them listen for incoming connections Like the long-running programs we discussed in 10, web servers will sit and wait for events to happen In this case, the events are client connections and requests When a client, such as a browser, connects to a server and sends a request, the server performs an inverse operation from the one we saw in 11 Say we have the following GET request: GET /indexhtml HTTP/11 User-Agent: BrowserX/1.

the Basics of a Mapreduce Job . . . . . . . . . . . . . . . . . . . . . . . . . . . 27

Windows Communication Foundation is a collection of formalized web services extensions that are part of the .NET Framework in version 3.0. WCF formalizes the web service framework, opening up the endpoints, schema definitions, enhancements, and other aspects of web services to a uniform framework that makes it easier to build robust, powerful web services that can interoperate with .NET web services and other platforms. Again, InfoPath 2007 does not natively interact with WCF services, but it s possible to interoperate with them by writing managed code within the form.

The Parts of a Hadoop MapReduce Job 27 Input Splitting 31 A Simple Map Function: IdentityMapper 31 A Simple Reduce Function: IdentityReducer 34 Configuring a Job 36 Specifying Input Formats 45 Setting the Output Parameters 47 Configuring the Reduce Phase 51 Running a Job 53.

1 Accept: text/html Host: exampleorg The server, like the browser, understands the HTTP protocol, and therefore knows how to parse this message In this case, the server knows that the client is requesting to retrieve (GET) a resource named /indexhtml and wants to receive files of the text/html type..