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Currently iBATIS boasts a healthy 16 tags that are used to accomplish Dynamic SQL. These tags are all very specific. In an effort to provide for more general-purpose conditional tags, the iBATIS team plans to introduce a simplified tag set alongside the existing. The goal is that the new-generation Dynamic SQL tags will eventually phase out the old. The new-generation Dynamic SQL will be modeled after JSTL (Java Standard Tag Library). This would reduce our now 16 tags to a mere 6 tags. As of this writing, the proposed new tags are <choose>, <when>, <otherwise>, <if>, <foreach>, and <while>. For the most part, these tags will function in an identical way to their JSTL sister tags, with the exception that they will contain the additional prepend, open, close, and removeFirstPrepend attributes.

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Note that reverse changes the list and does not return anything (just like remove and sort, for example).

Summary

Because the new Dynamic SQL tag set will be more general purpose, a simple expression language is needed. The iBATIS team has decided to model the expression language after Java s J2EE Expression Language (EL). This will provide better support for multiple conditional analyses in a single evaluation. The current dynamic SQL tag set does not support boolean operations such as and and or. With the combination of general-purpose tags and a powerful EL, it will be easier to fulfill complex Dynamic SQL requirements.

An alternative approach to deploying the database is to use the mx.exe command-line utility. Figure 3-43 displays the syntax for using the mx.exe tool to deploy to the database, along with the output generated.

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Tip If you want to iterate over a sequence in reverse, you can use the reversed function. This function

8.7 Summary

Dynamic SQL in iBATIS is a powerful tool to have in your arsenal. Taking care to understand its place in developing your database interaction is important. Remember to make simplicity your goal. In this chapter, you saw how to write simple and more complex Dynamic SQL using Java and PL/SQL code, and also how to accomplish the same thing in iBATIS. While there are times when Dynamic SQL in iBATIS may not do exactly what you want, given the alternatives it is a good way to perform the other 90 percent of your queries.

doesn t return a list, though; it returns an iterator. (You learn more about iterators in 9.) You can convert the returned object with list:

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Figure 3-43. SQL installing the LunchCounter database using the MX executor Regardless of which way you decide to deploy the LunchCounter module, you can check the installation by bringing up SQL Server Management Studio. If it is already up, simply click the server connection and press the F5 key to refresh the display. You should now see LunchCounter displayed as one of the databases under the Databases list. Expand LunchCounter, then click on Tables. (Figure 3-44 shows a partial view of the LunchCounter database Tables list.) Scroll down the list until you get to where the LunchCounter tables should appear. You should see four tables listed: LunchCounter.Breads LunchCounter.Condiments LunchCounter.SandwichOrders LunchCounter.Stuffs

dataSource = new SimpleDataSource(map); } public DataSource getDataSource() { return dataSource; } }

>>> x = [1, 2, 3] >>> list(reversed(x)) [3, 2, 1]

As we ve said before, more complex DataSource implementations might take a lot more work, but we hope that never becomes an issue you need to worry over. The final topic we will cover in extending iBATIS is customizing your transaction management.

However, there is always room for customization with today s wide range of application servers and custom approaches to transaction management. From the outside, transactions seem simple, offering only a few functions: start, commit, roll back, and end. But on the inside, transactions are very complex and are one of the behaviors of application servers that tend to deviate from the standard. For that reason, iBATIS allows you to customize your own transaction management system. If you ve had any experience in the area, that statement probably sent shivers down your spine and so it should. Implementing a transaction manager correctly is a terribly difficult thing to do. For that reason, we won t even bother tackling a true implementation here. Instead, we ll discuss the interfaces in detail, which will help you gain a head start should you ever be tasked with implementing them. If you do want an example, iBATIS comes with three implementations: JDBC, JTA, and EXTERNAL. Table 12.4 summarizes these, in case you missed them in previous chapters.

You can examine the data in each of these tables by right-clicking on the table name and selecting Edit Top 200 Rows.

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