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2 XML Schemas and DTDs Introduction What Is a Schema Attributes Datatypes What Is a Namespace Differences between Schemas and DTDs Why Use Schemas Guidelines and Best Practices Transforming Schema Meta-Data Why Use DTDs What Is the Function of a DTD Defining Rules Defining Meta-Data DTD Standards Debate 3 XML Documents Introduction Reasons for Building XML Documents Taxonomies XML Document Design Deciphered, Delineated, and Demystified The Simplicity of Modular Design Data vs Documents Customer Example Dual Functions Hierarchical Structure Made for Man and Machine Security How Does XML Provide More Meaningful Markup Content XML Structure and Grammar XML Document Size Saving Some Work XML Tools XML Trees

The query executor runs the execution plan that the Query Optimizer produced, acting as a dispatcher for all the commands in the execution plan. This module steps through each command of the execution plan until the batch is complete. Most of the commands require interaction with the storage engine to modify or retrieve data and to manage transactions and locking. More information on query execution, and execution plans, is available on the companion Web site, http://www.SQLServerInternals.com/companion.

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The SQL Server storage engine includes all the components involved with the accessing and managing of data in your database. In SQL Server 2008, the storage engine is composed of three main areas: access methods, locking and transaction services, and utility commands.

When SQL Server needs to locate data, it calls the access methods code. The access methods code sets up and requests scans of data pages and index pages and prepares the OLE DB row sets to return to the relational engine. Similarly, when data is to be inserted, the access methods code can receive an OLE DB row set from the client. The access methods code contains components to open a table, retrieve quali ed data, and update data. The access methods code doesn t actually retrieve the pages; it makes the request to the buffer manager, which ultimately serves up the page in its cache or reads it to cache from disk. When the scan starts, a look-ahead mechanism quali es the rows or index entries on a page. The retrieving of rows that meet speci ed criteria is known as a quali ed retrieval. The access methods code is employed not only for SELECT statements but also for quali ed UPDATE and DELETE statements (for example, UPDATE with a WHERE clause) and for any data modi cation operations that need to modify index entries. Some types of access methods are listed below. Row and Index Operations You can consider row and index operations to be components of the access methods code because they carry out the actual method of access. Each component is responsible for manipulating and maintaining its respective on-disk data structures namely, rows of data or B-tree indexes, respectively. They understand and manipulate information on data and index pages.

1

The row operations code retrieves, modi es, and performs operations on individual rows It performs an operation within a row, such as retrieve column 2 or write this value to column 3 As a result of the work performed by the access methods code, as well as by the lock and transaction management components (discussed shortly), the row is found and appropriately locked as part of a transaction After formatting or modifying a row in memory, the row operations code inserts or deletes a row There are special operations that the row operations code needs to handle if the data is a Large Object (LOB) data type text, image, or ntext or if the row is too large to t on a single page and needs to be stored as over ow data.

5 Using Rapid Application Development Tools with Visual C# 2008

We ll look at the different types of data storage structures in s 5, Tables, 6, Indexes: Internals and Management, and 7, Special Storage The index operations code maintains and supports searches on B-trees, which are used for SQL Server indexes An index is structured as a tree, with a root page and intermediate-level and lower-level pages (If the tree is very small, there might not be intermediate-level pages) A B-tree groups records that have similar index keys, thereby allowing fast access to data by searching on a key value The B-tree s core feature is its ability to balance the index tree (B stands for balanced) Branches of the index tree are spliced together or split apart as necessary so that the search for any given record always traverses the same number of levels and therefore requires the same number of page accesses.

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