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After you initially compose a result set, you can reuse the result set to derive additional value for your applications. You can reuse a result set by manipulating it in any of a variety of ways. This section demonstrates four techniques for manipulating result sets to derive additional value from them (shown next). Save the result in a table for easy reference later. This technique lets you reuse the result set values without rerunning the query that generated the result set values. Append one result set to the end of another result set. This capability allows you to combine a subset of the columns from two or more different result sets.

String[] getProjects(); String[] getMilestones(String project); String addEntries(Vector<TimeEntryData> entries) throws NotLoggedInException; Vector<TimeEntryData> getEntries() throws NotLoggedInException; }

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Clicking the large A will then treat the 23 as the starting font size, and resize all the cells as per whatever size you select for the 23. And, needless to say, clicking the smaller of the two A s does all of the above in reverse, reducing font size with successive clicks. Thus the two A buttons really present you with a slightly swifter way of doing what the Font Size box does. You ll also note the three formatting classics just beneath the font boxes Bold, Italics, and Underline B, I, and U all of which submit to the same select-then-do technique. They also boast three classic keyboard equivalents Ctrl-B, Ctrl-I, and Ctrl-U, respectively. Note in addition, however, the drop-down arrow accompanying the Underline button. Click it and you ll see this little drop-down menu (Figure 4 8):

Temporarily keep one SELECT statement in scope and refer back to it from a second SELECT statement (or INSERT, UPDATE, DELETE statement as well). This technique can simplify query statements. With the PIVOT operator, designate column values to generate result sets with cross-tabulated values. This approach is useful for analyzing the values in a result set. With the UNPIVOT operator, you can restore the layout of relational data from cross-tabulated data.

Using the INTO clause from within a SELECT statement makes it phenomenally easy to save a result set to storage. It takes a single argument, which is the name of a new table. The new table stores the result set generated by the list and clauses in a SELECT statement. You can position the INTO clause after the SELECT list and before the FROM clause. A SELECT statement with an INTO clause is commonly called a SELECT INTO statement. The following guidelines apply to the creation of a new table with a SELECT INTO statement: The new table resides in the current database context unless you explicitly specify otherwise with a three- or four-part name for the new table. Therefore, you can reference a data source within another database context using a three-part name in the FROM clause of a SELECT INTO statement to make a copy of the data source in the current database context. If the original data source or SELECT list has calculated column values, the SELECT INTO statement saves the values for the calculations not the calculation expressions. If a table with the name for the new table already exists in the current database, then the SELECT INTO statement does not copy over the existing table. The sample code for this section resides in SELECTINTOSamples.sql.

Figure 4 8. Two text underlining options Click Underline and you ll wind up merely selecting the same single-underline option that was in force before you clicked the drop-down arrow. Select Double Underline, however, and you ll naturally inscribe a pair of lines beneath the characters in the cells you ve selected (and not the entire cell width; this is the case with any underline). But this simple sequence illustrates a larger point: if you click Double Underline, you ll see this change in the Underline button (Figure 4 9):

SQL Server Express uses the sysname data type to reference database object names. The sysname data type is a built-in user-defined data type based on nvarchar(128).

The ntext data type is for large objects with Unicode characters. As with the text data type, the ntext data type will eventually be dropped in favor of the nvarchar(max) data type for large objects. If you require a Unicode string of more than 4,000 characters, use an nvarchar(max) or ntext data type. As with the text data type, large objects made up of Unicode characters can have a maximum byte length of 2GB. However, because each Unicode character takes twice as many bytes as

Note Notice the @RemoteServiceRelativePath annotation. You ll define this path in the deployment descriptor based on the relative path of the base URL.

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