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<select id="getCategories" parameterClass="SearchClass" resultClass="CategorySearchCriteria"> SELECT * FROM Category <dynamic prepend="WHERE"> <iterate prepend=" categoryId IN" open="(" close=")" conjunction=","> #categoryIds[]# </iterate> <isNotEmpty property="categoryName" prepend="AND"> name LIKE ( #categoryName# || '%') </isNotEmpty> </dynamic> </select>

...) instead of append. Alter-

Figure 3-39. Generating the SandwichLanguage.mx image file You can also add a package flag (/p) to specify that instead of an image file, you want a SQL script: m.exe SandwichLanguage.m LunchCounter.Schema.m /t:TSql10 /p:Script This generates the SQL script file SandwichLanguage.sql (see Figure 3-40).

So, that is what the mapped statement looks like, and here is how you would call it:

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natively, you could keep using append but substitute pop(0) for pop(). An even better solution would be to use a deque from the collections module. See 10 for more information.

queryForList("getCategories",searchObject);

Figure 3-40. Generating the SandwichLanguage.sql script file with the m.exe compiler You can run this script as a query in SQL Server Management Studio (SSMS) to load the database. Bring up SSMS, click on the File menu, then Open File (see Figure 3-41).

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You can see that in approximately 14 lines of code we have accomplished what took us several times that to accomplish with Java code or a stored procedure. Since iBATIS uses PreparedStatements internally, we were able to gain security against SQL injection and gain the performance of the parameterized SQL. By keeping the SQL in a simple XML file that resides with our Java source code, we are also able to more easily maintain our SQL and deploy it with our application. If iBATIS were in the analysis against straight Java or a stored procedure, there would be no question as to which would be the logical winner.

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The remove method is used to remove the first occurrence of a value: >>> x = ['to', 'be', 'or', 'not', 'to', 'be'] >>> x.remove('be') >>> x ['to', 'or', 'not', 'to', 'be'] >>> x.remove('bee') Traceback (innermost last): File "<pyshell#3>", line 1, in x.remove('bee') ValueError: list.remove(x): x not in list As you can see, only the first occurrence is removed, and you cannot remove something (in this case, the string 'bee') if it isn t in the list to begin with. It s important to note that this is one of the nonreturning in-place changing methods. It modifies the list, but returns nothing (as opposed to pop).

iBATIS is already looking into the future and making moves to improve Dynamic SQL. Nearly everything you we have learned in this chapter will continue to be relevant in the future of Dynamic SQL. That aside, it is important that you know the direction iBATIS is heading with its Dynamic SQL. The initial idea of the Dynamic SQL tag set was developed in iBATIS version 1.x. The Dynamic SQL tag set was based largely on concepts borrowed from the Struts

taglibs (see Ted Husted s Struts in Action [Manning, 2002] for more details). As standards have improved in the Java community, iBATIS has sought once again to borrow concepts from more standard Java concepts and incorporate them into iBATIS. Two areas in need of improvement have emerged: a simplified and more robust tag set, and a simple expression language that can be used in conjunction with the tags. Let s take a moment and look at where iBATIS will be making improvements in Dynamic SQL.

The reverse method reverses the elements in the list. (Not very surprising, I guess.) >>> >>> >>> [3, x = [1, 2, 3] x.reverse() x 2, 1]

Figure 3-41. Opening the generated SQL script file in SQL Server Management Studio When the Open File dialog box appears, browse to the C:\LunchCounter folder and select the SandwichLanguage.sql. To open it, either double-click the file or click the Open button. This will display the contents of the T-SQL script file. Click the Execute button on the SSMS toolbar, as shown in Figure 3-42.

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