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To be able to use the snapshot isolation level in a database, the database option ALLOW_SNAPSHOT_ISOLATION must first be set to ON. This database option requires that there are no connections to the database when it is set. It is the setting of this database option, rather than the start of a transaction in the snapshot isolation level, that starts the process of generating and storing row versions. This is notable because it means that you pay the performance penalty of generating row versions for all transactions in the database, not just for transactions that use the snapshot isolation level. This occurs because the old version of a row must have been made available when the row was changed or deleted, even if the change was made

"username", @Column(name="USERNAME") ), "departmentNr", @Column(name="DEP_NR") )

write performance will be worse than normal as parity information will need to be converted into readable data. At some stage in the future the failed disk also must be replaced.

In a JPA XML descriptor, this mapping looks as follows:

by a transaction in an isolation level other than snapshot. In the snapshot isolation level, shared locks are not acquired for read operations because row versions are used instead. The following example shows the behavior of the snapshot isolation level:

<embeddable class="auction.model.UserId" access ="PROPERTY"> <attributes> <basic name="username"> <column name="UNAME"/> </basic> <basic name="departmentNr"> <column name="DEPARTMENT_NR"/> </basic> </attributes> </embeddable> <entity class="auction.model.User" access="FIELD"> <attributes> <embedded-id name="userId"> <attribute-override name="username"> <column name="USERNAME"/> </attribute-override>

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ALTER DATABASE <current_database> SET ALLOW_SNAPSHOT_ISOLATION ON; ALTER DATABASE <current_database> SET READ_COMMITTED_SNAPSHOT OFF; -- Table including some example rows used in this example. CREATE TABLE Test.TestTran (Col1 INT NOT NULL, Col2 INT NOT NULL); INSERT Test.TestTran (Col1, Col2) VALUES (1, 1); INSERT Test.TestTran (Col1, Col2) VALUES (1, 2); INSERT Test.TestTran (Col1, Col2) VALUES (2, 1);

18-23

<attribute-override name="departmentNr"> <column name="DEP_NR"/> </attribute-override> </embedded-id> ... </attributes> </entity>

The third composite-key mapping strategy is a bit more difficult to understand, especially for experienced Hibernate users. First, you encapsulate all identifier attributes in a separate class as in the previous strategy, no extra annotations on that class are needed. Now you duplicate all the identifier properties in the entity class:

SET TRANSACTION ISOLATION LEVEL SNAPSHOT; BEGIN TRAN; SELECT * FROM Test.TestTran WHERE Col1 = 1; /* Returns 2 rows. */

@Entity @Table(name = "USERS") @IdClass(UserId.class) public class User { @Id private String username; @Id private String departmentNr; // Accessor methods, etc. ... }

is a member of the same RAID-5 volume as Disk 5. RAID-5 cannot recover from two disks failing at the same time.

SET TRANSACTION ISOLATION LEVEL READ COMMITTED;

Hibernate inspects the @IdClass and singles out all the duplicate properties (by comparing name and type) as identifier properties and as part of the primary key. All primary key properties are annotated with @Id, and depending on the position of these elements (field or getter method), the entity defaults to field or property access. Note that this last strategy is also available in Hibernate XML mappings; however, it s somewhat obscure:

<composite-id class="UserId" mapped="true"> <key-property name="username" column="USERNAME"/> <key-property name="departmentNr" column="DEP_NR"/> </composite-id>

SELECT * FROM Test.TestTran WHERE Col1 = 1; /* Still returns the same 2 rows with exactly the same values. */ SELECT * FROM Test.TestTran WHERE Col1 = 1; /* Still returns the same 2 rows with exactly the same values. */

You omit the identifier property name of the entity (because there is none), so Hibernate handles the identifier internally. With mapped="true", you enable the last JPA mapping strategy, so all key properties are now expected to be present in both the User and the UserId classes.

C. Incorrect: Disks 1 and 7 form a mirrored set of the system volume. D. Incorrect: Disk 9 has no fault tolerance. E. Correct: Disk 1 is paired with Disk 7, so it can fail. Disk 2 is not in a RAID-5 vol

UPDATE Test.TestTran SET Col1 = 2 = 1 AND Col2 = 1;

This composite identifier mapping strategy looks as follows if you use JPA XML descriptors:

<entity class="auction.model.User" access="FIELD"> <id-class class="auction.model.UserId"/> <attributes> <id name="username"/> <id name="departmentNr"/> </attributes> </entity>

INSERT Test.TestTran (Col1, Col2) VALUES (1, 3);

ume with Disk 3, so it can fail, and Disk 3 is not in a RAID-5 volume with Disk 2, so it also can fail and the server will remain operational after a restart.

Because we didn t find a compelling case for this last strategy defined in Java Persistence, we have to assume that it was added to the specification to support some legacy behavior (EJB 2.x entity beans). Composite foreign keys are also possible with annotations. Let s first map the association from Item to User:

DELETE Test.TestTran; /* Deletes all rows in the table... */

@ManyToOne @JoinColumns({ @JoinColumn(name="USERNAME", referencedColumnName = "USERNAME"), @JoinColumn(name="DEP_NR", referencedColumnName = "DEP_NR") }) private User seller;

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