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Q passivation-strategy Q read-write Q read-only You can change the behavior of ejbLoad () in a CMP entity bean by using the db-is-shared element in the deployment descriptor If you are sure that there is only one instance of the WebLogic server accessing a particular entity bean and there are no external applications modifying the underlying data, then calling ejbLoad() every time is unnecessary For this particular case you can set the value of db-is-shared to false (the default is true) in the deployment descriptor The effect is that ejbLoad () will only be called when this is the first reference from a client for the bean in question or when a transaction rolls back, with the result being a better performance Due to caching limitations, this will not work when WebLogic is configured to work in a cluster To change the behavior of the ejbStore () method, you can use two elements in the deployment descriptor The first one is is-modif ied-method-name The default behavior is that ejbStore () is called every time a commit occurs, independently of whether the data to be persisted has changed or not The trick here is for the developer to write a method that will return true if the data has changed or false if it has not This method is then used as the parameter for the is-modif ied-method-name tag, which will be called before ejbStore () to determine if it is necessary to persist the data This will work on both CMP and BMP, but make sure that you have fully tested the logic for using this method, as this is one of the places where developers typically get into trouble The data store does not get updated until a commit is done, so no intermediate results are available However, if you want other clients to be able to view intermediate results for transactions that are in progress, and your database can support a transaction isolation level of read uncommitted, you can make it happen by setting the value of the delay-updates-until-end-of-tx element to false What will happen is that ejbStore () will be called at the end of each method and the information sent over to the database, instead of waiting until the commit Note that the data sent at the end of each method is not committed to the database, just stored, until the transaction concludes There are also mechanisms to control the lifecycle of an entity bean For example, entity beans follow the normal lifecycle of passivation described in the previous chapter for stateful beans However, by setting the value of the passivation-strategy element in the deployment descriptor of the bean to transaction, it will passivate the instance of the bean at the completion of each transaction.

Here the system-wide file handles will now total 10240 (10K)

5

Setting the per-process file handle limit to 8192, for example, will ensure that when a user logs in that the user can open as many as 8,192 files from within a program under the user s control To set the per-process file handle limit, do the following: 1 Edit the /etc/security/limitsconf file and add the following lines to it:

Cache IP Logical Disk Memory Network Interface Objects Physical Disk Process Processor Redirector System Terminal Services Session UDP 4 4 7

2 Make sure that your /etc/pamd/system-auth file has a line such as the following:

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The default caching strategy of the container is called read-write This is basically where the data is brought into the cache at the beginning of each transaction with e j bLoad (), and sent to the data store using ejbStore () at the end of each transaction This behavior can be modified as described earlier WebLogic has another cache strategy available, which is called read-only This strategy will not execute the ejbStore () method, and will execute the ejbLoad () method at the beginning and at regular intervals thereafter The intervals are defined by the read-timeout-seconds element Note that the transaction attribute for a bean using a read-only caching strategy has to be set to NotSupported WebLogic does not implement read-mostly caching; this is defined as read-only exported to most machines However, the same effect can be achieved manually with a combination of read-write and read-only EJBs You start with a read-only bean that reads the data at the specified intervals Then you define a separate read-write bean that models the same data as the read-only bean, which gets updated as required Enough theory, let's try out entity bean development

To allow users to run fewer processes, for example, 8,192 at most, add the following lines to the /etc/security/limitsconf file

The marketing brochures claim that no programming has to be done to access the database and the Wonder Troops want to check out this claim Mrs Chief Architect thinks that the ideal test would be to use the entity bean at the core of the application, the order_master and order_detail tables One entity bean for each table will be defined Using as a base the code of the previous chapter, modifications will be made so that direct calls to these database tables via JDBC will be replaced by calls to entity beans

This setting will apply to both processes and the child threads that each process opens You can also configure how much memory a user can consume by using soft- and hard-limit settings in the same file The memory consumption is controlled using data, memlock, rss, stack, and similar directives You can also control the CPU usage of a user See the comments in the file for details

Table 914 The number of unique attack characteristics of distribution change to the unimodal symmetric distribution for each attack Attacks Distributed ARP Hardware Security Vulnerability FORK Rootkit Software Remote

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