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Let s first get an overview of the available tools, the artifacts they use as source input, and the output that is produced. Figure 2.1 shows various import and

Windows Server 2003, unlike Windows NT 4, allows you to add computers or groups of computers to an ACL, thereby adding flexibility to control resource access based on the client computer, regardless of the user who attempts access. For example, you may want to provide a public computer in the employee lounge, but prevent a manager from exposing sensitive data during his or her lunch break. By adding the computer to ACLs and denying access permission, the manager who can access sensitive data from his or her desktop is prevented from accessing it from the lounge. Windows Server 2003 also allows you to manage resource access based on the type of logon. You can add the special accounts, Interactive, Network, and Terminal Server User to an ACL. Interactive represents any user logged on locally to the console. Ter minal Server User includes any user connected via remote desktop or terminal services.

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UML Model XML/XMI AndroMDA Persistent Class Java Source Mapping Metadata Annotations Data Access Object Java Source <hbm2dao> Documentation HTML <hbm2doc>

The Query Optimizer is responsible for constructing an efficient plan of attack to answer queries. Procedure Cache Manager The Procedure Cache Manager is responsible for managing the storage and retrieval of query execution plans that the optimizer has constructed. Statistics Manager The Statistics Manager is responsible for maintaining statistical information on indexes to ensure that the most up-to-date information is used when constructing a query plan. Each of these components works together to construct the most efficient plan, or set of instructions, to provide to the storage engine for data retrieval and storage. One of the most prevalent design goals for the SQL Server 2005 query engine was to make it invisible to the user. The hope was that developers would never need to know about the internal workings of the query engine, and it would just do its job without interaction. In previous versions of SQL Server, developers of large-scale applications spent a fair amount of time trying to fool the query engine into generating more efficient query plans. This practice led to a number of query hints and options being embedded in T-SQL code that helped instruct the query engine. Unfortunately, due to the improvements in the SQL Server 2005 query engine, this practice can lead to less-efficient queries, and as the applications are upgraded to SQL Server 2005, many developers are finding that their applications are running more slowly. Developers need to understand exactly how the query engine processes data in SQL Server 2005 to make the best choices for creating efficient queries within their applications.

<annotationcon guration> <hbm2java> <hbm2java> Hibernate Metamodel <hbm2ddl> <hbm2hbmxml> <jdbccon guration> <con guration> Database Schema Mapping Metadata XML

The most basic query type is the SELECT query. SELECT simply instructs the database engine to retrieve certain data based on the criteria specified in the FROM and WHERE clauses. A SELECT statement is nonprocedural, in that it does not state the exact steps that the query engine should use to retrieve the requested data. This means that the query engine must analyze the statement to determine the most efficient way to extract the requested data. This is referred to as query optimization. The component that does this is called the query optimizer. The input to the optimizer consists of the query, the database schema (table and index definitions), and the database statistics. The output of the optimizer is a query plan. A SELECT statement only defines the following:

export tasks for Ant; all the functionality is also available with the Hibernate Tools plug-ins for Eclipse. Refer to this diagram while reading this chapter.1

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