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The JMS API session object provides commit and rollback methods that are used to control the transaction from a JMS client A detailed discussion on transactions and transactional messaging is available in 3 15111 Message Driven Enterprise Java Beans The J2EE includes a Message Driven Bean (MDB) as a component that consumes messages from a JMS topic or queue, introduced in the Enterprise Java Beans (EJB) 20 speci cation they are designed to address the integration of JMS with EJBs An MDB is a stateless, server-side, transaction-aware component that allows J2EE applications to process JMS and other messages such as HTTP, ebXML, SMTP, and so on, asynchronously Traditionally a proxy was needed to allow EJBs to process an asynchronous method invocation.

This approach used an external Java program that acted as the listener, and on receiving a message, invoked a session bean or entity bean method synchronously using RMI/JRMP or RMI/IIOP With this approach, the message was received outside the EJB container MDB solves this problem by allowing the message-processing code access to the infrastructure services available from an EJB container such as transactions, fault-tolerance, security, instances pooling, and so on The EJB 20 speci cation also provides concurrent processing for MDBs with pooling of bean instances This allows for the.

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is detected, the con icting transaction is aborted and redone This approach can lead to greater concurrency, when compared to pessimistic approaches, though transaction throughput degrades when con icts occur and transactions must be redone 3233 Nested Transactions Nested transaction models improve transaction modularity/composition and offer ner grained control over transaction recovery [26] These models, sometimes called closed nested transactions, use lock-based concurrency controls to regulate access to shared objects The idea is to nest nondurable subtransactions within top-level ACID transactions (as well as within other subtransactions) To ensure the serializability of concurrently executing (sub) transactions, nested transaction-locking rules are de ned1 : A subtransaction is granted a lock if the lock is free or held by its parent (or ancestor) When a subtransaction commits, its parent acquires all of its locks.

Methodology of Longitudinal Surveys Edited by Peter Lynn 2009 John Wiley & Sons, Ltd. ISBN: 978-0-470-01871-2

When a subtransaction aborts, its locks are released (without affecting locks held by its parent or ancestors) This model, like most lock-based models, is most appropriate for short-running transactions The LRUOW [1] model, discussed in Section 36, is a novel approach to longrunning nested transaction; the model employs a relaxed-optimistic approach using multiversion objects 3234 Compensation-based Recovery Compensation-based recovery models, as exempli ed by Sagas [13], are often employed to address the problems introduced by long-running transactions Similar to the isolation levels discussed above, these models loosen the strict serializability requirement of ACID transactionsThe idea is that an otherwise long-running ACID transaction is broken down into a series of shorter running ACID transactions.

10 days of community to Web 20 Because online communities are a relatively new phenomenon, a lot of innovation is going on and you have to be prepared to change and improve Even if you re not running a tech community, you must be sure that your central focus is always on providing value to a meaningful community By meaningful, I mean the community should be large enough to produce some kind of value for the members and for you as a business At the same time, you should have the community as the center of your world and keep it there, building the community around members desires, not around yours (or your boss s) And you have to continually introduce innovative improvements to remain relevant to your community At ITtoolbox, Dan has two pieces of advice on how to do this: 1.

The result is a logical transaction with certain transactional properties, such as eventual atomicity, but that is not itself an ACID transaction; in particular, the effects of intermediate ACID transactions are visible to other logical transactions To achieve atomicity in the event of a rollback (of the logical transaction), a series of compensating ACID transactions, corresponding to the already completed ACID transactions, are executed Compensation-based recovery is also important in loosely coupled systems Therefore, transactional messaging applications and Web services transactions commonly employ compensation to undo previously completed activities Middleware can support managing compensating activities; an example of an advanced transaction middleware that has built-in support for compensation is the Dependency-Spheres middleware [32] presented in Section 36 324 Programming Models for Transactions So far, we have focused on transaction models and techniques.

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