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All Session methods that have class parameters such as load() also come in an overloaded variation that accepts entity names. After loading an item map, you set a new price and make the modification persistent by committing the transaction, which, by default, triggers dirty checking and flushing of the Session. You can also refer to entity names in HQL queries:

You have a table with 40,000,000 rows. The table has five non-clustered indexes. The clustered index key is 60 bytes wide. (This is not uncommon when you have clustered indexes that span a few columns.)

List queriedItemMaps = session.createQuery("from ItemEntity where initialPrice >= :p") .setParameter("p", new BigDecimal(100)) .list();

A. The server will continue operating and no data has been lost. B. The server will halt. The server will be operational once the failed disk has been

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The total size of all row pointers from the non-clustered indexes on this table (only the pointers) would be: 40,000,000 * 5 * 60 = 12,000,000,000 bytes (close to 12 gigabytes) If the clustered index was changed to be on only one column with a smaller data type, such as an integer for a foreign key, each row pointer would be only four bytes. Because four bytes is added to all duplicates of the clustered index key to keep it unique internally, the calculation uses eight bytes as the new clustered index key size. 40,000,000 * 5 * 8 = 1,600,000,000 bytes (close to 1.5 gigabytes) The difference in storage needed is more than 10 gigabytes. Exam Tip

This query returns a collection of ItemEntity maps. They are in persistent state. Let s take this one step further and mix a POJO model with dynamic maps. There are two reasons why you would want to mix a static implementation of your domain model with a dynamic map representation:

You want to work with a static model based on POJO classes by default, but sometimes you want to represent data easily as maps of maps. This can be particularly useful in reporting, or whenever you have to implement a generic user interface that can represent various entities dynamically. You want to map a single POJO class of your model to several tables and then select the table at runtime by specifying a logical entity name.

For the exam, it s important to know the difference in non-clustered indexes depending on whether a clustered index exists on the table.

You may find other use cases for mixed entity modes, but they re so rare that we want to focus on the most obvious. First, therefore, you ll mix a static POJO model and enable dynamic map representation for some of the entities, some of the time. Mixing dynamic and static entity modes To enable a mixed model representation, edit your XML mapping metadata and declare a POJO class name and a logical entity name:

C. Once the volume is reactivated the server will continue operating. New data can-

<hibernate-mapping> <class name="model.ItemPojo" entity-name="ItemEntity"

The addition of indexes typically only helps boost read performance. Write performance is typically degraded because the indexes must be kept up-to-date with the data in the table. If a table has five non-clustered indexes defined on it, an insert into that table is really six inserts: one for the table and one for each index. The same goes for deletes. With update statements, only indexes that contain the columns that are updated by the update statement must be touched.

table="ITEM_ENTITY"> ... <many-to-one name="seller" entity-name="UserEntity" column="USER_ID"/> </class> <class name="model.UserPojo" entity-name="UserEntity" table="USER_ENTITY"> ... <bag name="itemsForSale" inverse="true" cascade="all"> <key column="USER_ID"/> <one-to-many entity-name="ItemEntity"/> </bag> </class> </hibernate-mapping>

7

Obviously, you also need the two classes, model.ItemPojo and model.UserPojo, that implement the properties of these entities. You still base the many-to-one and one-to-many associations between the two entities on logical names. Hibernate will primarily use the logical names from now on. For example, the following code does not work:

There are nine SCSI hard disk drives installed on a Windows Server 2003 system. Disk 1 hosts the volume that contains the operating system. Disks 2, 5, and 8 comprise a sin gle RAID-5 volume. Disks 3, 4, and 6 host a single RAID-5 volume. Disk 1 is mirrored by Disk 7. Disk 9 hosts a single volume. Which of the disks can fail at the same time but leave the server fully operational after a restart

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