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No shared locks are placed, and no exclusive locks are honored. This type of isolation level is appropriate when you want to work with all the data matching certain conditions, irrespective of whether it s committed. Dirty reads are possible, but performance is increased. Shared locks are held while the data is being read by the transaction. This avoids dirty reads, but the data can be changed before a transaction completes. This may result in nonrepeatable reads or phantom rows. This is the default isolation level used by SQL Server. In this case, shared locks are placed on all data that is used in a query. This prevents others from modifying the data, and it also prevents nonrepeatable reads. However, phantom rows are possible. A range lock is placed on the data you use, thereby preventing other users from updating or inserting rows that would fall in that range. This is the only isolation level that removes the possibility of phantom rows. However, it has an extremely negative effect on user concurrency and is rarely used in multiple user scenarios. Stores a copy of the data your transaction accesses. As a result, the transaction won t see the changes made by other transactions. This approach reduces blocking, because even if other transactions are holding locks on the data a transaction with snapshot isolation will be able to read a copy of the data. This option is supported only in SQL Server 2005 and needs to be enabled through a database-level option.

The Windows operating system has historically provided many APIs for building distributed systems. While it is true that most people consider a distributed system to involve at least two networked computers, this term in the broader sense can refer to two executables that need to exchange data, even if they happen to be running on the same physical machine. Using this definition, selecting a distributed API for your current programming task typically involves asking the following pivotal question:

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} Once the Address class has been created, you can reference it in the User class as follows: @OneToOne(cascade = CascadeType.ALL) @JoinColumn(name = "address_id") private Address address; public Address getAddress() { return address; } public void setAddress(Address address) { this.address = address; } Remember to add to the class User the related annotations @OneToOne and @JoinColumn imports, as follows: import javax.persistence.OneToOne; import javax.persistence.CascadeType; Then map your new Address entity into your hibernate.cfg.xml configuration file located into your src/main/resources, as always. <mapping class="com.apress.flexjava.usermanager.model.Address" /> Because you added the Maven plug-in to your POM file earlier, launching the command mvn install to compile your application will also create the database table address and the database relationship one-to-one into the users database table. It should be noted that the one-to-one relationship is not necessarily the best approach.

The isolation levels in Table 7-6 are arranged from the least degree of locking to the highest degree of locking. The default, ReadCommitted, is a good compromise for most transactions. Table 7-7 summarizes the locking behavior for different isolation levels. Table 7-7. Isolation Levels Compared

Will this system be used exclusively in house, or will external users require access to the application s functionality

If you build a distributed system for in-house use, you have a far greater chance of ensuring that each connected computer is running the same operating system and using the same programming framework (e.g., .NET, COM, or the Java platform). Running in-house systems also means that you can leverage your existing security system for purposes of authentication, authorization, and so forth. In this situation, you might be willing to select a particular distributed API that will tie you to a specific operating system/programming framework for the purposes of performance.

Whenever you roll back a transaction, it nullifies the effect of every command you ve executed since you started the transaction. But what happens if you want to roll back only part of an ongoing transaction SQL Server handles this with a feature called savepoints. Savepoints are markers that act like bookmarks. You mark a certain point in the flow of transaction, and then you can roll back to that point. You set the savepoint using the Transaction.Save() method. Note that the Save() method is available only for the SqlTransaction class, because it s not part of the standard IDbTransaction interface. Here s a conceptual look at how you use a savepoint: ' Start the transaction. Dim tran As SqlTransaction = con.BeginTransaction() ' (Enlist and execute some commands inside the transaction.) ' Mark a savepoint. tran.Save("CompletedInsert") ' (Enlist and execute some more commands inside the transaction.) ' If needed, roll back to the savepoint. tran.Rollback("CompletedInsert") ' Commit or roll back the transaction. tran.Commit() Note how the Rollback() method is used with the savepoint name as a parameter. If you want to roll back the whole transaction, simply omit this parameter.

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