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F# sometimes requires a little help before a definition is automatically generalized. In particular, only function definitions and simple immutable data expressions are automatically generalized; this is

To be in 3NF, a relation (the formal term for what SQL calls a table and the precise concept on which the mathematical theory of normalization rests) must already be in second normal form (2NF), and 2NF requires a relation to be in first normal form (1NF) Let s look briefly at what these normal forms mean First normal form (1NF) means that all column values are scalar, in other words, they have a single value that can t be further decomposed in terms of the data model For example, although individual characters of a string can be accessed through a procedure that decomposes the string, only the full string is accessible by name in SQL, so, as far as the data model is concerned, they aren t part of the model.

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as erasure. This means that there is no information available to Spring s PropertyEditors to determine the type that associated form fields should be converted to. Your alternatives are to add additional manual binding of these properties upon form submission, or to use Java array types where a collection class might otherwise have been more suitable.

Likewise, in a table with a manager column and a column containing a list of employees who work for a given manager, the manager and the list would be accessible by name but the individual employees in the list wouldn t be All relations and SQL tables are by definition in 1NF since the lowest level of accessibility (known as the table s granularity) is the column level, and column values are scalars in SQL Second normal form (2NF) requires that attributes (the formal term for SQL columns) that aren t parts of keys be functionally dependent on a key that uniquely identifies them Functional dependence basically means that for a given key value only one value exists in a table for a column or set of columns.

I discuss features of a specific version, I explicitly mention the relevant version information. To work with the examples discussed in this chapter, you need to have SQL Server 2005 or 2008 (an Express Edition will do for most of the examples) installed on your machine. You ll also need SQL Server Management Studio and the SQLXML managed classes.

Listing 8-6 shows an example that implements an object that reads lines from a pair of text files, choosing the file at random. You must implement the type IDisposable because the object owns two internal System.IO.StreamReader objects, which are IDisposable. Note that you explicitly check to see whether the object has already been disposed. Listing 8-6. Implementing IDisposable to Clean Up Internal Objects open System open System.IO type LineChooser(fileName1, fileName2) = let file1 = File.OpenText(fileName1) let file2 = File.OpenText(fileName2) let rnd = new System.Random() let mutable disposed = false let cleanup() = if not disposed then disposed <- true; file1.Dispose(); file2.Dispose(); interface System.IDisposable with member x.Dispose() = cleanup() member obj.CloseAll() = cleanup() member obj.GetLine() = if not file1.EndOfStream && (file2.EndOfStream || rnd.Next() % 2 = 0) then file1.ReadLine() elif not file2.EndOfStream then file2.ReadLine() else raise (new EndOfStreamException()) You can now instantiate, use, and dispose of this object as follows:

For example, if a table contained employees and their titles, and more than one employee could have the same title (very likely), a key that uniquely identified employees wouldn t uniquely identify titles, so the titles wouldn t be functionally dependent on a key of the table To put the table into 2NF, you d create a separate table for titles with its own unique key and replace the title in the original table with a foreign key to the new table Note how this reduces data redundancy The titles themselves now appear only once in the database Only their keys appear in other tables, and key data isn t considered redundant (though, of course, it requires columns in other tables and data storage)..

values embedded in the tree, as the code and memory structures used would be much cleaner if the data were listed separately and the leaf nodes on the tree held pointers to the relevant row.

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