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namespace Example_5_17_ _ _ _The_break_and_continue_Statements { class Program { public static int Main( ) { string signal = "0"; // initialize to neutral while (signal != "X") // X indicates stop { Console.Write("Enter a signal. 0 for normal conditions, X to stop, A to Abort: "); signal = Console.ReadLine( ); // do some work here, no matter what signal you // receive Console.WriteLine("Received: {0}", signal); if (signal == "A") { // faulty - abort signal processing // Log the problem and abort. Console.WriteLine("Fault! Abort\n"); break; } if (signal == "0") { // normal traffic condition // log and continue on Console.WriteLine("All is well.\n"); continue; } // Problem. Take action and then log the problem // and then continue on Console.WriteLine("{0} -- raise alarm!\n", signal); } return 0; } } }

versioning of the primary data will greatly reduce the logging volume Resetting of the database to a prior version does not solve all recovery problems An e ect of a transaction which was carried out after the transaction to be undone will also be lost if the later transaction updated the same block More information is required if this case is to be handled correctly Even more problematic is dealing with the e ects of concurrent transactions The activity-logging techniques described in Sec 11-4 address these issues 11-3-4 Transaction Execution Transactions may be update requests with new data or may be queries Queries do not have a second phase The execution of update transaction is now accompanied by logging of su cient information to guarantee abort or completion The transaction manager, after receiving the commit request, veri es that all data required for completion have been secured and grants the transaction the permit to go ahead In a distributed database this veri cation may require communication with multiple or even all nodes Saving of the prior database state by logging also makes the undoing of a speci c transaction possible Transaction logging is often incorporated into a larger scheme for database protection, activity logging, which will be covered in Sec 11-4 The speci c data elements being logged are described there Activity logging also considers correction of erroneous output for query transactions The data elements logged for a transaction must be identi ed The transaction identi er must be unique and should be serial if the e ect of one transaction upon other transactions is to be evaluated For this purpose we may assign a sequential identi cation number to every transaction A time stamp with a su ciently small time increment can also provide a sequence number The date and time of transaction arrival is always useful It is in general important that the sequence in which the transactions were executed matches the sequence in which they may be restored.

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The signals are simulated by entering numerals and uppercase characters from the keyboard, using the Console.ReadLine( ) method, which reads a line of text from the keyboard. ReadLine( ) reads a line of text into a string variable. The program ends when you press the A key. The algorithm is simple: receipt of a 0 (zero) means normal conditions, and no further action is required except to log the event. (In this case, the program simply writes a message to the console; a real application might enter a timestamped record in a database.) On receipt of an Abort signal (simulated with an uppercase A), the problem is logged and the process is ended. Finally, for any other event, an alarm is raised, perhaps notifying the police. (Note that this sample does not actually notify the police, though it does print out a harrowing message to the console.) If the signal is X, the alarm is raised but the while loop is also terminated. Here s one sample output:

Execution Sequence If transactions A and B include update operations to the same data, say A: X = X + 100 B: X = X * 2 reversing their execution sequence during recovery will create new errors

Enter a signal. X = stop. A = Abort: 0 Received: 0 All is well. Enter a signal. X = stop. A = Abort: 1 Received: 1 1 -- raise alarm! Enter a signal. X = stop. A = Abort: X Received: X X -- raise alarm!

Many operations found in commercial processing are compatible; ie, their execution order does not matter Addition and subtraction are compatible, and these dominate in nancial and inventory transactions Transactions having operations on multiple shared data items still have to be constrained in general and keep the same execution and restart order:

Here s a second sample output:

If transactions C and D include apparently compatible updates to shared data, say C: X = Y + 100 D: Y = X + 50 reversing their execution sequence during recovery will also create errors

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