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The cost of the query without the UDF goes up to 1.05 and the number of page reads to 742 (both of which are accurate values). At the same time, the execution time drops to about 1 second. As you can see, the first query using the UDF is about 25 times slower than the latter query because of the UDF use.

In this target, you first define a new Ant task that you d like to use, HibernateToolTask. This is a generic task that can do many things exporting an SQL DDL schema from Hibernate mapping metadata is only one of them. You ll use it throughout this chapter in all Ant builds. Make sure you include all Hibernate libraries, required third-party libraries, and your JDBC driver in the classpath of the task definition. You also need to add the hibernate-tools.jar file, which can be found in the Hibernate Tools download package.

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When designing your DNS name resolution strategy, you should plan to integrate other networking services to optimize performance. In this section, you look at how Active Directory integration can improve network performance and lessen administrative overhead. You also see how DHCP not only automatically configures your client workstations with IP configuration information, but also communicates with DNS Server service to perform dynamic updates. Last, you will examine WINS and how DNS can be optimized to forward queries to a WINS server to resolve Network Basic Input/Output system (NetBIOS) names and services. Let s begin with Active Directory integration.

Why was the inline table-valued UDF so much faster The use of inline table-valued UDFs or views does not incur the same performance penalty as the use of scalar UDFs because both inline table-valued UDFs and views are optimized (expanded) into the query plan.

The schemaexport Ant target uses this task, and it also depends on the compiled classes and copied configuration files in the build directory. The basic use of the <hibernatetool> task is always the same: A configuration is the starting point for all code artifact generation. The variation shown here, <configuration>, understands Hibernate XML configuration files and reads all Hibernate XML mapping metadata files listed in the given configuration. From that information, an internal Hibernate metadata model (which is what hbm stands for everywhere) is produced, and this model data is then processed subsequently by exporters. We discuss tool configurations that can read annotations or a database for reverse engineering later in this chapter. The other element in the target is a so-called exporter. The tool configuration feeds its metadata information to the exporter you selected; in the preceding example, it s the <hbm2ddl> exporter. As you may have guessed, this exporter understands the Hibernate metadata model and produces SQL DDL. You can control the DDL generation with several options:

As you learned in 1, Active Directory is the tool used to manage, organize, and locate resources on your network. DNS Server service is integrated into the design and implementation of Active Directory, making them a perfect match.

The exporter generates SQL, so it s mandatory that you set an SQL dialect in your Hibernate configuration file. If drop is set to true, SQL DROP statements will be generated first, and all tables and constraints are removed if they exist. If create is set to true, SQL CREATE statements are generated next, to create all tables and constraints. If you enable both options, you effectively drop and re-create the database schema on every run of the Ant target. If export is set to true, all DDL statements are directly executed in the database. The exporter opens a connection to the database using the connection settings found in your configuration file. If an outputfilename is present, all DDL statements are written to this file, and the file is saved in the destdir you configured. The delimiter character is appended to all SQL statements written to the file, and if format is enabled, all SQL statements are nicely indented.

There are three different types of table-valued UDFs. Two of them can be developed in T-SQL and the other one in a CLR language, such as C# or Microsoft Visual Basic .NET:

You can now generate, print, and directly export the schema to a text file and the database by running ant schemaxport in your WORKDIR. All tables and constraints are dropped and then created again, and you have a fresh database ready. (Ignore any error message that says that a table couldn t be dropped because it didn t exist.)

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