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EJB components are designed to encapsulate business logic, so that the developer does not have to worry about programming code for such mundane things as database access, transaction support, security, caching, and concurrency These mundane problems are crucial to the success of a project, they're hard to get right, and basically they recur in every application So, in the EJB specification they're the responsibility of the EJB container With EJBs, reinventing the wheel can stop, and code that is almost too important to be left to business logic developers can be kept in the container Enterprise JavaBeans aren't exactly revolutionary There's very little of the EJB specification that wasn 't in the CORBA specification Abstraction of security, transactions, data access, and naming were all in the DCE specification as well Transaction monitors, component-container systems like MTS, and transactional databases like Oracle have been worrying about the same problems for a long time But EJBs merge the design strengths of these earlier systems with the object-oriented programming of Java, and a specification that allows for migration between systems One of the really interesting advantages of EJBs is that they isolate the business logic from the actual deployment environment in such a way that when you change from, say, one database to another, you do not have to touch your EJBs, as they only contain the business logic Moving components between different EJB containers is also possible without recompilation The configurations for a server are specified declaratively in a file that is called the deployment descriptor jBs components come in two flavors: session beans and entity beans Session beans represent the client's interaction with the web application - this is where you typically will code 1 your business logic Each instance of a session bean serves (that is, represents) just one client Session beans can be one of two types, depending on the design and requirements of your application: Stateful - by this we mean that the bean instance can work with just that one client until it is released by that client (stateful), in which case the bean can maintain information (state) about the client between method calls, for the duration of the bean's life Stateless - if the bean maintains no state between each method call, it is stateless It can answer any client and will typically be assigned many clients by the container during its lifecycle This request-response interaction with clients can be very fast, but places the burden of maintaining the state of the conversation elsewhere Both kinds of session beans are temporary - they represent the client conversation, not the outcome of the requests The favorite example to describe the use of stateless session beans is automatic teller machine You feed in your card, punch in your personal identification number, perform your transaction, recover your card and maybe a record of the transaction and then you leave Our example ATM speaks with a stateless session bean assigned to the ATM for the duration of the transaction (modeled as one method call) This bean contains the logic required to perform the requested operations, very likely by acting as a dispatcher to control other beans If the customer wants to use another service (using another method call) the EJB container assigns them another bean instance.

This is a key management policy that speci es that, if the group includes a manager and the group has fewer than 100 members, then LKHKeyManager scheme will be used with rekeying required on new joins and leaves

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An entity bean can be part of a transaction, just as a session bean can As with session beans, much of the transaction work can be left to the container and specified declaratively There's an additional level of declarative control that we didn't cover in the last chapter Translation isolation allows you to define how transactions interact between themselves, by controlling the level of access a bean has to shared data The disadvantage of sharing data is the increased prevalence of dirty, non-repeatable, and phantom reads: Q A dirty read can happen when a transaction modifies a row in a database table but has not yet committed it If another transaction reads it, and then the first transaction does a rollback (because of some error), the changes to the row are eliminated The second transaction has data that is inconsistent A non-repeatable read can happen when a transaction reads a row, then a second transaction modifies that row If the first transaction reads that row again it gets different values

can instead simulate the system impulse response and program an experiment-protocol script to produce its Fourier transform [9] DESIRE experiment-protocol scripts can perform fast Fourier transforms and work with complex numbers for frequency-response and root-locus plots [9] The book CD shows a number of simple examples 1-16 Simulation of a Simple Guided Missile

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