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@org.hibernate.annotations.NamedQueries({ @org.hibernate.annotations.NamedQuery( name = "findItemsOrderByPrice", query = "select i from Item i order by i.initialPrice)" ) }) package auction.persistence.types;

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This example of a package metadata file, in the package auctionpersistencetypes, declares two Hibernate type converters We ll discuss the Hibernate type system in chapter 5, section 52, The Hibernate type system You can now refer to the user-defined types in class mappings by their names The same mechanism can be used to externalize queries and to define global identifier generators (not shown in the last example) There is a reason the previous code example only includes annotations from the Hibernate package and no Java Persistence annotations One of the (lastminute) changes made to the JPA specification was the removal of package visibility of JPA annotations As a result, no Java Persistence annotations can be placed in a package-infojava file If you need portable global Java Persistence metadata, put it in an ormxml file.

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Query #1 (1 row) Query #2 (selective) 24,237 pages 1,062 pages 28 pages Query #3 (somewhat selective) 24,237 pages 5,029 pages 139 pages Query #4 (non-selective) 24,237 pages 50,125 pages 1,286 pages

Note that you have to name a package that contains a metadata file in your Hibernate or JPA persistence unit configuration if you aren t using automatic detection see chapter 2, section 221, Using Hibernate Annotations Global annotations (Hibernate and JPA) can also be placed in the source code of a particular class, right after the import section The syntax for the annotations is the same as in the package-infojava file, so we won t repeat it here You now know how to write local and global mapping metadata Another issue in large-scale applications is the portability of metadata Using placeholders In any larger Hibernate application, you ll face the problem of native code in your mapping metadata code that effectively binds your mapping to a particular database product.

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For example, SQL statements, such as in formula, constraint, or filter mappings, aren t parsed by Hibernate but are passed directly through to the database management system The advantage is flexibility you can call any native SQL function or keyword your database system supports The disadvantage of putting native SQL in your mapping metadata is lost database portability, because your mappings, and hence your application, will work only for a particular DBMS (or even DBMS version)..

-- Drop the table used in this example. DROP TABLE Test.CoveredIndexTest;

Even simple things, such as primary key generation strategies, usually aren t portable across all database systems. In the next chapter, we discuss a special identifier generator called native, which is a built-in smart primary key generator. On Oracle, it uses a database sequence to generate primary key values for rows in a table; on IBM DB2, it uses a special identity primary key column by default. This is how you map it in XML:

The performance metric that is shown in the table is the number of data pages that SQL Server touched during the query execution (SET STATISTICS IO ON, logical reads). Note that the so-called selective query (Query #2) returns 0.01 percent of the rows in the table. For a table of this size, that still amounts to 1,000 rows. If you are speaking to someone about the number of rows that will be affected by a query, and he or she says that number is only a couple of percent of the table, this usually translates to a lot of rows. Some conclusions that we can draw from the test are given here. (This is only with regard to read performance; write performance is discussed later in this lesson.)

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