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These should be reflected in the four LunchCounter database tables. Note that there are three many-to-one relationships in these orders: two condiments in Orders 1 and 2, and two stuffs in Order 4. The tables should reflect these. Figure 3-45 shows the four instances of SandwichOrder in the SandwichOrders table. This table contains the order keys only, since all the remaining data of an order (the Bread, Stuffs, and Condiments values) are reflected in the three other tables. If Lola and Norm get into further design iterations and refinements, the SandwichOrders table might contain other data, such as an Order timestamp. But for now, each instance in the table has only a key, reflected as a foreign key in each of the Breads, Condiments, and Stuffs tables.

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TRANSACTION_READ_UNCOMMITTED TRANSACTION_READ_COMMITTED TRANSACTION_REPEATABLE_READ TRANSACTION_SERIALIZABLE TRANSACTION_NONE

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Each of these is documented in the JDBC Connection API, and you can learn more in chapter 7. The important thing to note here is that if your transaction manager implementation does not support one or more of these, you should be sure to throw an exception to let the developer know. Otherwise, there could be unexpected consequences that are difficult for your users to debug. The next pair of methods are getDataSource() and setDataSource(). These methods describe a JavaBeans property for the DataSource associated with this TransactionConfig instance. Usually you won t have to do anything special with the DataSource, but it is provided here so that you can decorate it with additional behavior if you need to. Many transaction manager implementations wrap the DataSource and the Connection objects it provides, to add transaction related functionality to each of them. The final pair of methods makes up another JavaBeans property that allows the framework to configure a maximum number of concurrent transactions supported. Your implementation may or may not be configurable, but it is important to ensure that you throw an appropriate exception if the number set is too high for your system to handle.

x 2, 4, 6, 7, 9] y 2, 4, 6, 7, 9] Another way of getting a sorted copy of a list is using the sorted function:

Figure 3-45. The SandwichOrders table, which contains only the order key Figure 3-46 shows the Breads table. Note that there is only one Bread value for each order, which is what you would expect, since this is how the orders were set up in the sample DSL file. Besides, one Bread per SandwichOrder is a business rule that was reflected in the LunchCounter.Schema.m file.

he iBATIS framework uses a layered architecture that makes it easy to use only the pieces you need without dealing with any features you don t need. However, sometimes you will require a bit more than the basics. Part 3 takes iBATIS to the next level and shows you how to leverage its advanced features. You ll learn about Dynamic SQL and data layer abstraction, and we ll tell you how to extend iBATIS when all else fails.

Caching in general has broad meaning. For example, in a traditional web application that contains presentation, service, and data access layers, it could make sense to cache on any or all of those layers. The iBATIS cache focuses on caching results within the persistence layer. As such, it is independent of the service or presentation layers, and is not based on object identity. In this chapter, we will look at how to configure, optimize, and even extend the iBATIS caching implementations.

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IBATIS s robust and simple caching mechanism is completely configuration based and removes the burden of managing the cache directly. Before we get into when, why, and how to use iBATIS caching, let s walk through a quick introduction. Listing 9.1 shows a simple cache configuration and a single mapped statement that uses it.

Figure 3-46. The Breads table Figure 3-47 shows the Condiments table, and you can see there are two one-to-many relationships: Order1 has two condiments (Lettuce and Tomato) and Order 2 also has two condiments (Mayo and Mustard). This is as you would expect, given the sample orders in the DSL file.

x = [4, 6, 2, 1, 7, 9] y = sorted(x) x 6, 2, 1, 7, 9] y 2, 4, 6, 7, 9] This function can actually be used on any sequence, but will always return a list:4

<cacheModel id="categoryCache" type="MEMORY"> <flushOnExecute statement="insert"/> <flushOnExecute statement="update"/> <flushOnExecute statement="delete"/> <property name="reference-type" value="WEAK"/> </cacheModel> <select id="getCategory" parameterClass="Category" resultClass="Category" cacheModel="categoryCache"> SELECT * FROM Category WHERE categoryId=#categoryId# </select>

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