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1620 Show that there are schedules that are possible under the two-phase locking protocol, but are not possible under the timestamp protocol, and vice versa 1621 For each of the following protocols, describe aspects of practical applications that would lead you to suggest using the protocol, and aspects that would suggest not using the protocol: Two-phase locking Two-phase locking with multiple-granularity locking The tree protocol Timestamp ordering Validation Multiversion timestamp ordering Multiversion two-phase locking

1622 Under a modi ed version of the timestamp protocol, we require that a commit bit be tested to see whether a read request must wait Explain how the commit bit can prevent cascading abort Why is this test not necessary for write requests 1623 Explain why the following technique for transaction execution may provide better performance than just using strict two-phase locking: First execute the transaction without acquiring any locks and without performing any writes to the database as in the validation based techniques, but unlike in the validation techniques do not perform either validation or perform writes on the database Instead, rerun the transaction using strict two-phase locking (Hint: Consider waits for disk I/O) 1624 Under what conditions is it less expensive to avoid deadlock than to allow deadlocks to occur and then to detect them 1625 If deadlock is avoided by deadlock avoidance schemes, is starvation still possible Explain your answer 1626 Consider the timestamp ordering protocol, and two transactions, one that writes two data items p and q, and another that reads the same two data items Give a schedule whereby the timestamp test for a write operation fails and causes the rst transaction to be restarted, in turn causing a cascading abort of the other transaction Show how this could result in starvation of both transactions (Such a situation, where two or more processes carry out actions, but are unable to complete their task because of interaction with the other processes, is called a livelock) 1627 Explain the phantom phenomenon Why may this phenomenon lead to an incorrect concurrent execution despite the use of the two-phase locking protocol 1628 Devise a timestamp-based protocol that avoids the phantom phenomenon 1629 Explain the reason for the use of degree-two consistency What disadvantages does this approach have

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We now look at the database-design requirements of a banking enterprise in more detail, and develop a more realistic, but also more complicated, design than what we have seen in our earlier examples However, we do not attempt to model every aspect of the database-design for a bank; we consider only a few aspects, in order to illustrate the process of database design

StdCity SEATTLE BOTHELL StdClass JUN JUN OfferNo 01 02 03 02 OffTerm FALL FALL SPRING FALL OffYear 2006 2006 2007 2006 EnrGrade 35 33 31 34 CourseNo C1 C2 C3 C2 CrsDesc DB VB OO VB

The initial speci cation of user requirements may be based on interviews with the database users, and on the designer s own analysis of the enterprise The description that arises from this design phase serves as the basis for specifying the conceptual structure of the database Here are the major characteristics of the banking enterprise The bank is organized into branches Each branch is located in a particular city and is identi ed by a unique name The bank monitors the assets of each branch

The McGraw Hill Companies, 2001

AUXILIARY PORT OVERVIEW AND PINOUT To connect a modem to the auxiliary port, use the RJ-45 to RJ-45 rollover cable with the male RJ-

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I N F prohibits nesting or repeating groups in tables A table not in I N F is unnormalized or nonnormalized In Table 73, the university table is unnormalized because the two rows contain repeating groups or nested tables To convert an unnormalized table into INF, you replace each value o f a repeating group with a row In a n e w row, y o u copy the nonrepeat ing columns You can see the conversion by comparing Table 73 with Table 71 (two rows with repeating groups versus four rows without repeating groups) Because most commercial D B M S s require I N F tables, y o u normally do not need to con vert tables into INF However, you often need to perform the reverse process ( I N F tables to unnormalized tables) for report generation A s discussed in 10, reports use nest ing to show relationships However, the underlying tables do not have nesting

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