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In this section, we will explore the following questions: What is a transaction and why is it important to enterprise applications What are the core ACID (atomicity, consistency, isolation, durability) properties that define a robust and reliable transaction What is JTA, what is a distributed transaction, and what is two-phase commit A transaction is a group of operations that must be performed as a unit. These operations can be synchronous or asynchronous, and can involve persisting data objects, sending mail, validating credit cards, and many other events. A classic example is a banking transfer, in which one operation debits funds from one account (i.e., updates a record in a database table), and another operation credits those same funds to another account (updates another row in that same, or a different, database table). From the perspective of an external application querying both accounts, there must never be a time when these funds can be seen in both accounts. Nor can a moment exist when the funds can be seen in neither account. Only when both operations in this transaction have been successfully performed can the changes be visible from another application context. A group of operations that must be performed together in this way, as a unit, is known as a transaction. The operations in a transaction are performed sequentially or in parallel, typically over a (relatively short) period of time. After they are all performed, the transaction is applied, or committed. If an error or other invalid condition arises during the course of a transaction, the transaction may be cancelled, or rolled back, and the operations that had thus far been performed under that transaction context are undone.

Summary

When the operations in a transaction are performed across database or other resources that reside on separate computers or processes, this is known as a distributed transaction. Such enterprise-wide transactions require special coordination between the resources involved, and can be extremely difficult to program reliably. This is where JTA comes in, providing the interface that resources can implement and bind to, to participate in a distributed transaction. The EJB container is a transaction manager that supports JTA, and so can participate in distributed transactions involving other EJB containers as well as third-party JTA resources, like many database management systems (DBMSs). This takes the complexity of coordinating distributed transactions off the shoulders of business application developers, so that they are free to distribute their data across the enterprise however they choose. In addition, as you will see in the following sections, EJB allows developers to

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Note Technically, YouTube has restrictions on content that is uploaded for example, there s not supposed to be any adult content. Although there s generally not anything worse than you d see on television or in a PG-13 movie, be aware that some videos skirt the edges. My friendly editor also commented that there are restrictions on copyrighted material, which explains why I have to use Netflix to see complete Doctor Who episodes without having them cut into bits.

choose whether to demarcate transactions explicitly with calls to begin, commit, or roll back (cancel) a transaction or to allow the EJB container to automatically perform transaction demarcation along method boundaries.

This chapter introduced Seam and the underlying frameworks that it depends on JSF and EJB3. The basic knowledge provided in this chapter will be enhanced in s 3, 4, and 5. This chapter also defined what a basic MVC framework is and discussed the top frameworks used. In addition, it introduced Java 5 and POJOs, which will help you start understanding some of the concepts used by Seam. By now you should be ready to go with your development environment. The next chapter covers the basics of web design and outlines our sample applications. From there you will dive into development.

When you re browsing through videos, a nice feature allows you to add videos you d like to see to a playlist, so you can come back and watch them. If you d like an example video to try the playlist feature, try searching for detholz, as shown in Figure 11-27.

No, not the electric Kool-Aid kind. Transactions come in all shapes and sizes, and can involve synchronous and asynchronous operations, but they all have some core features in common, known as their ACID components. ACID refers to the four characteristics that define a robust and reliable transaction: atomicity, consistency, isolation, and durability. Table 8-1 describes these four components.

Figure 11-27. d-e-t-h-o-l-z. Don t ask me why they named it that. Scroll down to the Club Oslo video (see Figure 11-28).

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