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Now that we have some code and configuration elements to look at, let s take a closer look to see what is going on with all this stuff. This code looks for a resource named Dao.xml, which is located at the root of some location that the classloader will look in. For example, in Tomcat, it might be in your web application s WEB-INF/classes directory or in a JAR file in its WEBINF/lib directory (as long as it was at the top level of the JAR file). Once it has the configuration file, it passes the data to the DaoManagerBuilder, and requests that it build a DaoManager instance. This code is from a JUnit test that we used to build and test the DAO implementations which we are looking at, so the exception handling is pretty weak. In a real production application, this is not how you would want to handle the exception.

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Not so with get: >>> print d.get('name') None As you can see, when you use get to access a nonexistent key, there is no exception. Instead, you get the value None. You may supply your own default value, which is then used instead of None: >>> d.get('name', 'N/A') 'N/A' If the key is there, get works like ordinary dictionary lookup: >>> d['name'] = 'Eric' >>> d.get('name') 'Eric' Listing 4-2 shows a modified version of the program from Listing 4-1, which uses the get method to access the database entries. Listing 4-2. Dictionary Method Example # A simple database using get() # Insert database (people) from Listing 4-1 here. labels = { 'phone': 'phone number', 'addr': 'address' } name = raw_input('Name: ') # Are we looking for a phone number or an address request = raw_input('Phone number (p) or address (a) ') # Use the correct key: key = request # In case the request is neither 'p' nor 'a' if request == 'p': key = 'phone' if request == 'a': key = 'addr' # Use get to provide default values: person = people.get(name, {}) label = labels.get(key, key) result = person.get(key, 'not available') print "%s's %s is %s." % (name, label, result)

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Next, we define a transaction manager that will be based on the transaction manager we defined in our SQL Map configuration file, which we define using the SqlMapConfigResource property nested in the <transactionManager> element. All

Clicking the Change/Remove option for Microsoft SQL Server Modeling CTP in the Add or Remove Programs list (refer to Figure 1-11) will present a window with three selections (shown in Figure 1-13): 1. 2. 3. Add or Remove Features Repair Uninstall

of the transaction management functionality that was available when using SQL Maps directly is still available in our DAO implementation. Listing 10.9 contains the SQLMapConfig.xml we used for this example.

An example run of this program follows. Notice how the added flexibility of get allows the program to give a useful response, even though the user enters values we weren t prepared for: Name: Gumby Phone number (p) or address (a) batting average Gumby's batting average is not available.

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< xml version="1.0" encoding="UTF-8" > <!DOCTYPE sqlMapConfig PUBLIC "-//ibatis.apache.org//DTD SQL Map Config 2.0//EN" "http://ibatis.apache.org/dtd/sql-map-config-2.dtd"> <sqlMapConfig> <properties resource="SqlMapConfig.properties" /> <settings errorTracingEnabled="true" cacheModelsEnabled="true" enhancementEnabled="true" lazyLoadingEnabled="true" maxRequests="32" maxSessions="10" maxTransactions="5" useStatementNamespaces="true" /> <transactionManager type="JDBC" > <dataSource type="SIMPLE"> <property name="JDBC.Driver" value="${driver}"/> <property name="JDBC.ConnectionURL" value="${connectionUrl}"/> <property name="JDBC.Username" value="${username}"/> <property name="JDBC.Password" value="${password}"/> </dataSource> </transactionManager> <sqlMap resource= "com/mycompany/system/dao/sqlmap/Account.xml" /> </sqlMapConfig>

The has_key method checks whether a dictionary has a given key. The expression d.has_key(k) is equivalent to k in d. The choice of which to use is largely a matter of taste, although has_key is on its way out of the language (it will be gone in Python 3.0). Here is an example of how you might use has_key: >>> d = {} >>> d.has_key('name') False >>> d['name'] = 'Eric' >>> d.has_key('name') True

All of the settings for this file are covered in detail in chapter 4, so we won t rehash them here.

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