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Given this understanding of empty dates, it is possible to create a couple of functions to convert dates to text (or text to dates) intelligently. For consistency with other .NET types, SmartDate will also include a Parse() method to convert a String into a SmartDate. These will be Shared methods so that they can be used even without creating an instance of SmartDate. Using these methods, a developer can write business logic such as this: Dim userDate As DateTime = SmartDate.StringToDate(userDateString) Table 5-4 shows the results of this function, based on various user text inputs.

Updates row 1 and puts an exclusive lock on row 1, preventing other updates and reads. Row 1 now has $100.00. Reads row N. Sum = . . . Updates row 342,023 and puts an exclusive lock on this row. Row 342,023 now has $500.00. Tries to read row 342,023 and discovers that it is locked. This session will block and wait for this block to become available. All processing on this query stops. Commits transaction. Reads row 342,023, sees $500.00, and presents a final answer that includes the $400.00 double-counted.

The first thing to notice is that this other database, upon getting to account 987, will block our query. This session must wait on that row until the transaction holding the exclusive lock

True (default) False True or False (ignored)

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namespace SocketUdpServerSample { public class Program { private const int port = 2000; public static void Main() { using (Socket serverSocket = new Socket(AddressFamily.InterNetwork, SocketType.Dgram, ProtocolType.Udp)) { EndPoint remoteEndPoint = new IPEndPoint(IPAddress.Any, port); serverSocket.Bind(remoteEndPoint); if (serverSocket.Poll(-1, //timeout in microseconds SelectMode.SelectRead)) { byte[] inBuffer = new byte[serverSocket.Available]; int count = serverSocket.ReceiveFrom(inBuffer, ref remoteEndPoint); string message = new string(Encoding.UTF8.GetChars(inBuffer)); Debug.Print("Received '" + message + "'."); } } } } }

commits. This is one reason why many people have a bad habit of committing every statement, instead of processing well-formed transactions consisting of all of the statements needed to take the database from one consistent state to the next. Updates interfere with reads in most other databases. The really bad news in this scenario is that we are making the end user wait for the wrong answer. We still receive an answer that never existed in the database at any point in time, as with the dirty read, but this time we made the user wait for the wrong answer. In the next section, we ll look at what these other databases need to do to achieve read-consistent, correct results. The important lesson here is that various databases executing in the same, apparently safe isolation level can and will return very different answers under the exact same circumstances. It is important to understand that, in Oracle, non-blocking reads are not had at the expense of correct answers. You can have your cake and eat it too, sometimes.

Result of StringToDate()

The goal of REPEATABLE READ is to provide an isolation level that gives consistent, correct answers and prevents lost updates. We ll take a look at examples of both, see what we have to do in Oracle to achieve these goals, and examine what happens in other systems.

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