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What is new in the implementation of the method doPost is that there is no implementation. This is because the implementation of doPost is completely specific to the application. In the case of the server push, it means receiving data on the writing stream that is used to update a specific resource. In the case of the example, that means processing the sent data and assigning it to the UserState object instance.

This level is also known as striping with parity. It is very similar to RAID 0, with one additional disk needed to hold the parity bit that gets striped across all disks. Figure 3 5 illustrates an example configuration. Without a doubt, RAID 5 is a favorite RAID level, and I have seen it used by many administrators.

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The other place where issues of interface started to show up were again, based on the MULTICS mode from the beginning we had a strong distinction between the kernel and what today we would call the shell This was early enough in the development of operating systems that we didn t realize that you could, in fact, build a shell with essentially no special privileges The shell was a user-mode program, but it had a lot of special privileges But there were some issues about what facilities the kernel had to give the shell what things the shell should be able to do directly and what things it should have to make kernel calls for We saw interface-design choices just emerging from the task That was the point in my career at which I dimly started to become aware that interfaces.

L Peter Deutsch between entities really needed to be designed separately, that the interfaces between them were also an important design issue So responding to your question about whether the way I programmed in the small changed as I started to work with larger systems, the answer is, yes As I built larger and larger systems, I found that when sitting down to write any piece of code, more and more the question I would ask myself first is, OK, what s the interface between this and everything around it going to look like What gets passed in What gets passed out How much of a task should be on which side of an interface Those kinds of questions started to become a larger and larger part of what I was dealing with And they did affect the way that I wrote individual smaller chunks of code, I think.

As a side note, remember that the HTTP server handles authentication. Therefore, if the methods doGet, doPost, and so on are reached, the programmer can be assured that the user has been authenticated and allowed access to that URL. Most web servers, such as Apache and Tomcat, allow a great deal of fine-tuning of the authentication. If that is not enough, or your HTTP server does not support such fine-tuning, you will need to write an authentication filter. The authentication code should under no circumstances be added to the ServerCommunicator. The modified implementation of doGet is as follows: private int getSentVersion(HttpServletRequest request, String user) { Cookie[] cookies = request.getCookies(); String cookieIdentifier = "VersionId" + user; if(cookies != null) { for(int c1 = 0; c1 < cookies.length; c1 ++) { if(cookies[ c1].getName().compareTo( cookieIdentifier) == 0) { return Integer.parseInt(cookies[cl].getValue()) } } } return 0; } private UserState getUser(String user) { EBVN Iterator iter = _users.iterator(); while(iter.hasNext()) { UserState userstate = (UserState)iter.next(); if(userstate.getUserIdentifier().compareTo(user) == 0) { return userstate; } } return null; } protected void doGet(HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException { UserState userstate = getUser( request.getRequestURI().substring( _baseDirectory.length())); if(userstate != null) { int sentVersion = getSentVersion( request, userstate.getUserIdentifier()); int waitCount = 0; while(waitCount < 10) { if(sentVersion < userstate.getVersion()) { PrintWriter out = response.getWriter(); out.println("User (" + userstate.toString() + ")");

Seibel: And this was a natural consequence of working on bigger systems eventually the systems get big enough that you just have to find some way to break them apart Deutsch: That s right In that sense I agree that software is fractal in that decomposition is an issue that happens at many different levels I was going to say I don t think that the kinds of decomposition at bigger grains are qualitatively the same as the kinds of decomposition that happen at smaller grains I m not sure When you re doing decomposition at a smaller grain you may not be thinking, for example, about resource allocation; when you re doing decomposition at a larger grain you have to.

Seibel: Have you worked with people who, in your opinion, were very good programmers, yet who could only work at a certain scale Like they could work well on problems up to a sort of certain size but beyond that, they just didn t have the mentality for breaking systems apart and thinking about them that way Deutsch: I ve worked with programmers who were very smart but who didn t have experience at larger-scale programming And for Ghostscript, I did have some pretty serious disagreements with two of the engineers who were brought into the team as it was getting handed over to the company that I started Both very smart and hardworking guys, both experienced I thought they were very good programmers, good designers But they were not system thinkers Not only were they not used to thinking in terms of.

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