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Listing 10-32 shows two update elements: the first one takes the Customer domain object and the second one a Map. Listing 10-32. sqlMap File for the Customer Domain Object < xml version="1.0" encoding="UTF-8" standalone="no" > <!DOCTYPE sqlMap PUBLIC "-//iBATIS.com//DTD SQL Map 2.0//EN" "http://www.ibatis.com/dtd/sql-map-2.dtd"> <sqlMap> <!-- as previous --> <update id="updateCustomerLastNameDO" parameterClass="customer"> update T_Customer set Last_Name=#lastName# where Id=#id# </update> <update id="updateCustomerLastNameMap" parameterClass="map"> update T_Customer set Last_Name=#lastName# where Id=#id# </update> </sqlMap> The implementation of the DAO interface is very straightforward (see Listing 10-33). We are not going to discuss the Map implementation; we leave this to you in case you wish to do your own performance testing. Listing 10-33. CustomerDao updateName() iBATIS Implementation public class SqlMapClientCustomerDao extends SqlMapClientDaoSupport implements CustomerDao { public void updateLastName(Long id, String lastName) { Customer customer = new Customer(); customer.setId(id); customer.setLastName(lastName); getSqlMapClientTemplate().update("updateCustomerNameDO", customer); } // other CustomerDao methods are implemented as stubs }

The strategic plan will tell the business what markets it should go for and also what kind of products the organization should offer The business processes and activities all should have the purpose of producing business value so that they contribute to the value streams of the organization The strategic plan should guide this work with its goals and objectives The business strategy architect is the role responsible for defining, negotiating, and documenting the strategic plan, including the goals and objects in it The Sundblads define a set of competencies based on Microsoft competencies and add their view on which level of competency is needed (see Table 4-4) This matrix is great for evaluating the role of business strategy architect Table 4-4 Level of Competency for the Business Strategy Architect.

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Server Restriction: You can create a condition to exclude servers from the policy by using the Server facet. For example, you could create a condition that evaluates the policy only on SQL Servers that are running the Enterprise or Standard Edition. For this example, we will not be using a server restriction. Select the Description page, as shown in Figure 2-5, to configure the remaining options.

The performance tests reveal that the Map implementation took 19,063 milliseconds to perform 5,000 updates, whereas the domain object implementation took 15,937 milliseconds in a table of less than 1,000 rows. Do not be too concerned about using Map implementations; if your application is performing very complicated updates, the overhead of object creation and lookup is absolutely minimal compared to the actual database work. There is one final point to make about data updates. Each DAO interface-implementation pair should be responsible for updating its own domain objects. Consider this situation: you have two domain objects, Order and OrderLine. Order has a List that contains instances of OrderLine objects. You may be tempted to code the SQL statement for the save () operation in the OrderDao implementation so that it saves all its orderLine objects, but this is not a very good idea. If you do so, OrderDao and OrderLineDao no longer have clear responsibilities. You have to document that once OrderDao.save(Order) is called, you do not need to call OrderLineDao.save(OrderLine) for each OrderLine in Order. Also, you might be tempted to include the entire operation in a transaction, which is not the best idea because you should try not to control transactions manually in the code. Delegate transaction management to Spring; if you can t wait to read about transaction management, go to 12.

Now that we have covered data selects and updates, we can take a look at deletes. A delete is very similar to an update; just like an update, it takes a number of parameters and does not return any results. Let s start by implementing a delete(int) method in CustomerDao that deletes a row in the T_Customer table identified by the primary key. In Listing 10-34, we modify the sqlMap Customer.xml file and CustomerDao implementation. Listing 10-34. sqlMap File for the Customer Domain Object < xml version="1.0" encoding="UTF-8" standalone="no" > <!DOCTYPE sqlMap PUBLIC "-//iBATIS.com//DTD SQL Map 2.0//EN" "http://www.ibatis.com/dtd/sql-map-2.dtd"> <sqlMap> <!-- as previous --> <delete id="deleteCustomer" parameterClass="long"> delete from T_Customer where Id=#value# </delete> </sqlMap> The <delete> node declares a delete operation named deleteCustomer, which takes one parameter of type long that represents the primary key. The addition to the DAO implementation class simply calls the delete method, passing it the name of the delete statement and the primary key value wrapped in a java.lang.Long (as shown in Listing 10-35). Listing 10-35. CustomerDao delete(int) iBATIS Implementation public class SqlMapClientCustomerDao extends SqlMapClientDaoSupport implements CustomerDao { public void delete(Long id) { getSqlMapClientTemplate().delete("deleteCustomer", id); }

Leadership Strategy Technological breadth Technological depth Organization dynamics Tactical/Process Communications

// other CustomerDao methods are implemented as stubs } The Java code is very simple and does exactly what we expect it to do: it removes a row from the table identified by its primary key. You should consider concern slush when coding delete operations.

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