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Since the container stores session information in memory, if you have thousands of concurrent clients for your stateful session bean you may run out of memory or cause a lot of disk thrashing by the container as it passivates and activates instances to try to conserve memory Consequently, you have to closely examine what kind of data you are storing in the conversation state and make sure the total memory footprint for the stateful bean is as small as possible For example, it may be a lot more efficient to store just the itemId for an Item instead of storing the complete Item object in an instance variable If you cluster stateful beans, the conversational state is replicated between different instances of the EJB container State replication uses network bandwidth.

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Storing a large object in the bean state may have a significant impact on the performance of your application because the containers will spend time replicating objects to other container instances to ensure high availability We ll discuss more about EJB clustering in chapter 13 Passivating and removing beans The rules for passivation are generally implementation specific Improper use of passivation policies (when passivation configuration is an option) may cause performance problems For example, the Oracle Application Server passivates bean instances when the idle time for a bean instance expires, when the maximum number of active bean instances allowed for a stateful session bean is reached, or when the threshold for JVM memory is reached You have to check the documentation for your EJB container and appropriately set passivation rules For example, if we set the maximum number of active instances allowed for a stateful bean.

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void around(Object aBean,RequestContext aContext): call(* LoginController.getRequestData(..)) && args(aBean,aContext) { LoginRequestContext context=(LoginRequestContext)aContext; UserBean bean = (UserBean)aBean; bean.setUser(context.getUserName()); bean.setPassword(context.getUserPassword()); } void around(Object aBean,RequestContext aContext): call(* SubscribeController.getRequestData(..)) && args(aBean,aContext) { SubscriberBean bean = (SubscriberBean)aBean; SubscriptionContext context = (SubscriptionContext)aContext; bean.setFirst(context.getFirstName()); bean.setLast(context.getLastName()); bean.setEmail(context.getEmail()); } [...] // other controllers

Use an instance of the Handle class as the saved reference. Since EJB handles are serializable, we can persist them using an object output stream for later retrieval and use. The EJB specification designed the handle with this in mind. The client code in listing 1.12 implements a method, saveReference(), that persists a handle to an EJB.

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instance to 100 and we usually have 150 active clients, the container will continue to passivate and activate bean instances, thus causing performance problems. You can go a long way toward solving potential memory problems by explicitly removing the no longer required bean instances rather than depending on the container to time them out. As discussed earlier, you can annotate a method with the @Remove annotation that signals the container to remove the bean instance. Given the fact that stateful session beans can become performance bottlenecks whether through improper usage or under certain circumstances, it is worth inspecting the alternatives to using them.

This section examines a few alternative strategies to implementing stateful business processing, as well as some issues you may need to consider when using them The first alternative to stateful beans is replacing them with a combination of persistence and stateless processing In this scheme, we essentially move state information from memory to the database on every request You should carefully examine whether you want to maintain state between conversations in memory Base your decision completely based on your application requirements and how much tolerance of failure you have For example, in the BidderAccountCreator EJB you can probably avoid the use of conversational state by not maintaining instance variables to store the user information in memory and save data in the database on each method call Second, you may choose to build some mechanism at the client side to maintain state.

This requires additional coding, such as storing the state as an object in client memory or in a file The downside of these two approaches is that it is difficult to guarantee high availability and they may not be viable options for your application In fact, you would lose all of the advantages that the container provides by hand-coding proprietary solutions such as the ones outlined here, including automated passivation and robust, transparent state maintenance Third, you may choose to maintain session state in the web container if you re building a web application Although HTTP is a stateless protocol, the Java Servlet API provides the ability to maintain state by using the HttpSession object The servlet container does not have to do heavy lifting like passivation and activation, and may perform better in certain situations.

public class ClientSaver { private String url; private HelperHome home; public void runExample() { home = retrieveHelperHome(); Helper goodHelper = null; try { goodHelper = (Helper) PortableRemoteObject.narrow( home.create(), Helper.class); saveReference( goodHelper );

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