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The use of an aspect simplifies the code, which reflects the main behavior of the service. Analogously to use cases, the service s implementation only contains the main scenario, with no errors. This allows the programmer to better understand the service and to more easily identify the strategic joinpoints where other concerns can be inserted. For instance, if preconditions are code within aspects, it becomes easier to add a transaction management concern, as you will see later on. In general, postconditions are defined within the same aspect. However, that is not the case here. The implementation of the business preconditions is slightly different from the parameter preconditions (see Listing 11-17). Listing 11-17. An Aspect to Check the Business Preconditions of the Accounts 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 package aop.j2ee.business.aspect; import java.math.BigDecimal; import java.rmi.RemoteException; import javax.ejb.EJBException; import aop.j2ee.business.entity.account.Account; import aop.j2ee.business.session.txcontroller.TxControllerPOJO; import aop.j2ee.commons.exception.*; import aop.j2ee.commons.util.DomainUtil; public aspect CheckBusinessConditions { pointcut setBalance(Account account, BigDecimal amount): call(void Account.setBalance(BigDecimal)) && args(amount) && target(account) && within(TxControllerPOJO); before(Account account, BigDecimal amount) throws InsufficientFundsException, InsufficientCreditException : setBalance(account,amount) { try { String type = account.getType(); if (DomainUtil.isCreditAccount(type)) { if (amount.compareTo(account.getCreditLine()) == 1) throw new InsufficientCreditException(); } else { if (amount.compareTo(DomainUtil.bigZero) == -1) throw new InsufficientFundsException(); } } catch (RemoteException ex) { throw new EJBException("transferFunds: " + ex.getMessage()); } } }

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The configuration for the default implementation is: <barcode> < upc-a > <height>{ length:15mm}</height> <module-width>{length:0.33mm}</module-width> ...

@NamedQuery( name = "findUserWithNoItems", query = "SELECT distinct u FROM User u WHERE u.items is EMPTY", hints = {@QueryHint(name = "org.hibernate.fetchSize ", value = "50")} )

Check the documentation for your persistence provider to find out whether setting the JDBC fetch size is supported.

package ch2; import javax.ejb.*; /** * @ejb.bean type="CMP" * name="ItemBean" * jndi-name="ejb/ItemBean" * view-type="both" */ public abstract class ItemBean implements EntityBean { //various bean methods //ejbSelect methods /** * @ejb.select query="SELECT OBJECT( i ) FROM Item AS i" */ public abstract java.util.Collection ejbSelectAll(); }

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The EJB 3 JPA does not require persistence providers to do any type of caching. On the other hand, one of the primary benefits of using most O/R mapping frameworks is that they provide a certain level of caching to reduce trips to the database. Some people think caching is the solution for every performance problem. The reality is that improper use of caching may lead to stale data and a whole different set of performance issues. Before jumping into using a cache, you need to understand how your vendor supports caching. In most cases, you can improve performance of your applications with the appropriate use of caching. Most persistence providers support caching either entity objects, queries, or both. Caching probably makes sense for data that is read-only or is not frequently updated (read-mostly). For example, in ActionBazaar some entities such as Category rarely change. Knowing this helps us decide that it makes sense to cache Catalog entity objects. Some queries may always result in the same data within a specific time interval. For example, a named query findFiveMostPopularItems may always return the same set of entities for a four- to five-hour interval. You may wish to cache the results of that query because almost all users of ActionBazaar would probably wish to see the most popular items. The caching types you can use with an EJB 3 JPA provider can be broken into three levels, as shown in figure 13.3.

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can be simply implemented by using execution advice and standard thread-local variables (java.lang.ThreadLocal). This justifies the fact that these types of joinpoints, although useful for simplification and clarity, are not always provided.

Figure 13.3 You may use caching of objects at three levels: 1) the transactional cache, which is made available by the persistence provider within a transaction to reduce database round-trips; 2) the extended persistence context, which you can use as a caching mechanism with stateful session beans; and 3) the persistence unit level cache (if provided by the persistence provider), which is a shared cache that all clients of the persistence unit can use.

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