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Let s start with one-to-one entity associations. We argued in chapter 4 that the relationships between User and Address (the user has a billingAddress, homeAddress, and shippingAddress) are best represented with a <component> mapping. This is usually the simplest way to represent one-to-one relationships, because the lifecycle is almost always dependent in such a case, it s either an aggregation or a composition in UML. But what if you want a dedicated table for Address, and you map both User and Address as entities One benefit of this model is the possibility for shared references another entity class (let s say Shipment) can also have a reference to a particular Address instance. If a User has a reference to this instance, as their shippingAddress, the Address instance has to support shared references and needs its own identity. In this case, User and Address classes have a true one-to-one association. Look at the revised class diagram in figure 7.1. The first change is a mapping of the Address class as a stand-alone entity:

The key is that after the system problem has been corrected, the pending writes in the cache are treated as if the failure or restart never occurred Most manufacturers implementations immediately flush pending writes to physical disk during the restart operations Write Ordering Write ordering (or write dependency) is the capability of the I/O subsystem to preserve the order of I/O operations As described previously, stable media can include caching If a point in time is studied, the stable media should reveal preserved I/O order characteristics The order of the I/O operations associated with SQL Server must be maintained The system must maintain write ordering, or it breaks the WAL protocol described in this appendix (The log records must be written out in correct order and the log records must always be written to stable media before the data pages that the log records represent are written.

Table 6-1

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<class name="Address" table="ADDRESS"> <id name="id" column="ADDRESS_ID"> <generator .../> </id> <property name="street" column="STREET"/>

) After a transaction log record is successfully flushed, the associated data page can then be flushed as well If the subsystem permits the data page to reach stable media before the log record does, data integrity is breached..

We assume you won t have any difficulty creating the same mapping with annotations or changing the Java class to an entity, with an identifier property this is the only change you have to make. Now let s create the association mappings from other entities to that class. There are several choices, the first being a primary key one-to-one association.

Description Users can display folder names, file names, file data and attributes. Users can also run program files and access other folders within the shared folder. Users can create folders, add files to folders, change data in files, append data to files, change file attributes, delete folders and files, and perform actions permitted by the Read permission. Users can change file permissions, take ownership of files, and perform all tasks allowed by the Change permission.

Rows in two tables related by a primary key association share the same primary key values. The main difficulty with this approach is ensuring that associated instances are assigned the same primary key value when the objects are saved. Before we try to solve this problem, let s see how you map the primary key association. Mapping a primary key association with XML The XML mapping element that maps an entity association to a shared primary key entity is <one-to-one>. First you need a new property in the User class:

For example, if a computer running SQL Server had to restart after the data page had reached stable media but before the log record, the database recovery might fail Because the log record for a page modification does not exist, the recovery process cannot determine the proper transactional state of the page Worse, the log record did not get flushed to stable media, so the recovery process is not aware that the page requires rollback and it cannot attempt to correct the problem, thereby leaving the database in an unknown state Multichannel and Load-Balancing Systems Many high-end storage environments, such as Storage Area Networks, implement load-balanced systems that can have multiple channels to support I/O requests These systems must maintain support for I/O ordering.

public class User { ... private Address shippingAddress; // Getters and setters }

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