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In this chapter, we finally talk about transactions and how you create and control units of work in a application. We ll show you how transactions work at the lowest level (the database) and how you work with transactions in an application that is based on native Hibernate, on Java Persistence, and with or without Enterprise JavaBeans. Transactions allow you to set the boundaries of a unit of work: an atomic group of operations. They also help you isolate one unit of work from another unit of work in a multiuser application. We talk about concurrency and how you can control concurrent data access in your application with pessimistic and optimistic strategies. Finally, we look at nontransactional data access and when you should work with your database in autocommit mode.

Let s start with some background information. Application functionality requires that several things be done at the same time. For example, when an auction finishes, three different tasks have to be performed by the CaveatEmptor application:

2. You open a computer object and, on the Operating System tab, discover that no properties are displayed. What causes these properties to be absent

Always try to design a solution that minimizes both the amount of resources locked in a transaction and the risk of blocking and deadlocks. This lesson covers both using table locking options and alternative ways of reducing and optimizing locking.

1 2 3

Mark the winning (highest amount) bid. Charge the seller the cost of the auction. Notify the seller and successful bidder.

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In addition to using the correct transaction isolation level, you can take several other steps to reduce locking and still get the correct results in your transactions. You can use table locking hints by applying the WITH(<locking_hint>) keyword after the table name in a DML statement. In this way, you can use a stricter transaction isolation level (such as serializable) or a leaner isolation level (such as read uncommitted) for a specific table in a transaction. There are several table locking hints available; the following are the most commonly used:

A computer has not joined the domain using that account. When a system joins the domain, by default it populates the properties shown on the Operating System tab.

What happens if you can t bill the auction costs because of a failure in the external credit-card system The business requirements may state that either all listed actions must succeed or none must succeed. If so, you call these steps collectively a transaction or unit of work. If only one step fails, the whole unit of work must fail. This is known as atomicity, the notion that all operations are executed as an atomic unit. Furthermore, transactions allow multiple users to work concurrently with the same data without compromising the integrity and correctness of the data; a particular transaction should not be visible to other concurrently running transactions. Several strategies are important to fully understand this isolation behavior, and we ll explore them in this chapter. Transactions have other important attributes, such as consistency and durability. Consistency means that a transaction works on a consistent set of data: a set of data that is hidden from other concurrently running transactions and that is left in a clean and consistent state after the transactions completes. Your database integrity rules guarantee consistency. You also want correctness of a transaction. For

WITH (READUNCOMMITTED / READCOMMITTED / REPEATABLEREAD / SERIALIZABLE)

example, the business rules dictate that the seller is charged once, not twice. This is a reasonable assumption, but you may not be able to express it with database constraints. Hence, the correctness of a transaction is the responsibility of the application, whereas consistency is the responsibility of the database. Durability means that once a transaction completes, all changes made during that transaction become persistent and aren t lost even if the system subsequently fails. Together, these transaction attributes are known as the ACID criteria. Database transactions have to be short. A single transaction usually involves only a single batch of database operations. In practice, you also need a concept that allows you to have long-running conversations, where an atomic group of database operations occur in not one but several batches. Conversations allow the user of your application to have think-time, while still guaranteeing atomic, isolated, and consistent behavior. Now that we ve defined our terms, we can talk about transaction demarcation and how you can define the boundaries of a unit of work.

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