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Records labels need not be unique amongst multiple record types. Here is an example: type Person = { Name: string; DateOfBirth: System.DateTime; } type Company = { Name: string; Address: string; } When record names are non-unique, constructions of record values may need to use object expressions in order to indicate the name of the record type, thus disambiguating the construction. For example, consider the following type definitions: type Dot = { X: int; Y: int } type Point = { X: float; Y: float } On lookup, record labels are accessed using the . notation in the same way as properties. One slight difference is that in the absence of further qualifying information, the type of the object being accessed is inferred from the record label. This is based on that latest set of record labels in scope from record definitions and uses of open. For example, given the previous definitions, you have the following: > let coords1 (p:Point) = (p.X,p.Y);; val coords1 : Point -> float * float > let coords2 (d:Dot) = (d.X,d.Y);; val coords2 : Dot -> int * int > let dist p = sqrt (p.X * p.X + p.Y * p.Y);; // use of X and Y implies type "Point" val dist : Point -> float The accesses to the labels X and Y in the first two definitions have been resolved using the type information provided by the type annotations. The accesses in the third definition have been resolved using the default interpretation of record field labels in the absence of any other qualifying information.

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Now that you understand the concept of refetching rows, you can look at how Oracle implements scroll-sensitive result sets. Oracle s implementation of scroll-sensitive result sets involves a window of rows. The window consists of n rows, starting with the current row where n is the fetch size. The window size affects how frequently the rows in the result set are refreshed to the latest rows. As you scroll through the rows, as long as your current row remains within the window, no refresh takes place. As soon as your current row moves to a new window, you redefine the window to be n rows, starting with the new current row. Whenever the window is redefined, the n rows corresponding to the new window are automatically refreshed through an implicit call to refreshRow(). Thus, with scroll-sensitive result sets, you see external changes only when the window is refreshed. Obviously, this can have a performance impact depending on your network round-trip cost, your result set s fetch size, and the size of each row in the result set. The class DemoScrollSensitiveResultSet shows how this works. The main() method simply invokes _demoScrollSensitiveResultSet(), passing in the connection and the familiar query from table t1. /* This program demonstrates a scroll-sensitive result set. * COMPATIBLITY NOTE: runs successfully against 10.1.0.2.0 and 9.2.0.1.0. */ import java.io.IOException; import java.sql.ResultSet; import java.sql.SQLException; import java.sql.PreparedStatement; import java.sql.Connection; import book.util.JDBCUtil; import book.util.InputUtil; class DemoScrollSensitiveResultSet { public static void main(String args[]) throws Exception, IOException { Connection conn = null; try { conn = JDBCUtil.getConnection("scott", "tiger", "ora10g"); _demoScrollSensitiveResultSet( conn, "select x from t1 order by x" ); } catch (SQLException e) { // handle the exception properly - in this case, we just // print the stack trace.

important aspect of strong names, it is, in fact, considered a .NET best practice to provide every assembly with a strong name given the intrinsic security boundary it provides. To understand how a strong name can provide a level of security, you must understand the concept of round trip engineering. Simply put, this term explains the process of disassembling a compiled .NET assembly into Common Intermediate Language (CIL), modifying the contents, and compiling the modified CIL into a new (identically named) binary. This process is not as esoteric as you may think. In fact, the .NET Framework 2.0 SDK ships with the very tools you need to perform a round trip: ildasm.exe (the CIL disassembler) and ilasm.exe (the CIL assembler).

 

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