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session (as opposed to integers, objects, etc) This is more of a convention than a hard-and-fast rule, but it s worth following Session dictionary keys that begin with an underscore are reserved for internal use by Django In practice, the framework uses only a small number of underscore-prefixed session variables, but unless you know what they all are (and you are willing to keep up with any changes in Django itself ), staying away from underscore prefixes will keep Django from interfering with your application Don t replace requestsession with a new object, and don t access or set its attributes Use it like a Python dictionary Let s take a look at a few quick examples This simplistic view sets a has_commented variable to True after a user posts a comment.

// Recruit a professor to teach each of the sections. p3.agreeToTeach(sec1); p2.agreeToTeach(sec2); p1.agreeToTeach(sec3); p3.agreeToTeach(sec4); p1.agreeToTeach(sec5); p2.agreeToTeach(sec6); p3.agreeToTeach(sec7); We then simulate student registration by having Students enroll in the various Sections using the enroll method. Recall that this method returns one of a set of predefined status values as defined by our EnrollmentStatus enum(eration), and so in order to display which status is returned in each case, we created a housekeeping reportStatus method solely for the purpose of formatting an informational message: System.out.println("==============================="); System.out.println("Student registration has begun!"); System.out.println("==============================="); System.out.println(); // Simulate students attempting to enroll in sections of // various courses. System.out.println("Student " + s1.getName() + " is attempting to enroll in " + sec1.toString()); EnrollmentStatus status = sec1.enroll(s1); this.reportStatus(status); Since the preceding three lines of code the println, enroll, and reportStatus method calls are going to be repeated multiple times, we have written a housekeeping method called attemptToEnroll that does these three things, and will use the more concise attemptToEnroll(...) syntax for the remainder of this program. (The attemptToEnroll method is discussed separately shortly.) // Try concurrently enrolling the same Student in a different Section // of the SAME Course! This should fail. attemptToEnroll(s1, sec2); // This enrollment request should be fine ... attemptToEnroll(s2, sec2); // ... but here, the student in question hasn't satisfied the // prerequisites, so the enrollment request should be rejected. attemptToEnroll(s2, sec3);

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When considering the storage of redundant data in an information system, it is important to distinguish two types of information systems: Online transaction processing (OLTP) systems, which typically have continuous data changes and high volume Decision support (DSS) systems, which are mainly, or even exclusively, used for data retrieval and reporting, and are loaded or refreshed at certain frequencies with data from OLTP systems.

It s a simple (but not particularly secure) way of preventing a user from posting more than one comment: def post_comment(request, new_comment): if requestsessionget('has_commented', False): return HttpResponse("You've already commented") c = commentsComment(comment=new_comment) csave().

// These requests should both be fine. attemptToEnroll(s2, sec7); attemptToEnroll(s3, sec1); // // // // // // When the dust settles, here's what folks wound up being SUCCESSFULLY registered for: sec1: sec2: sec7: s1, s3 s2 s2

Next, we simulate the assignment of grades at the end of the semester by invoking the postGrade method for each Student Section combination: // Semester is finished (boy, that was quick!). Professors // assign grades for specific students. sec1.postGrade(s1, "C+"); sec1.postGrade(s3, "A"); sec2.postGrade(s2, "B+"); sec7.postGrade(s2, "A-"); Finally, we put our various display methods to good use by displaying the internal state of the various objects that we created in essence, an object dump : // Let's see if everything got set up properly // by calling various display() methods. System.out.println("===================="); System.out.println("Schedule of Classes:"); System.out.println("===================="); System.out.println(); scheduleOfClasses.display(); System.out.println("======================"); System.out.println("Professor Information:"); System.out.println("======================"); System.out.println(); p1.display(); p2.display(); p3.display(); System.out.println("===================="); System.out.println("Student Information:"); System.out.println("===================="); System.out.println(); s1.display(); s2.display(); s3.display(); }

In DSS systems, it is common practice to store a lot of redundant data to improve system response times. Retrieval of stored data is typically faster than data derivation, and the risk of inconsistency, although present for load and update of data, is less likely because most DSS systems are often read-only from the end user s perspective.

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