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It is possible (in Microsoft SQL Server 7.0 and Microsoft SQL Server 2000) to create database objects (such as stored procedures and triggers) that refer to other database objects that do not exist within the database. In previous versions, such attempts were treated as syntax errors. This feature helps tremendously when you need to generate a database structure and objects using script. Unfortunately, that introduces a number of risks. If you make a typo in the name

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memory to be used. In the future, Windows NT/2000 will support a 64-bit address space, and memory prices probably will continue to decline, so huge data caches of many gigabytes will not be so unusual. The reason to run with more memory is, of course, to reduce the need for physical I/O by increasing your cache-hit ratio.

One way to implement a database system on a computer is based on the concept of a relational database system. Such databases implement ideas first described by Codd and Date in the early 1970s. They took the name from a mathematical concept known as a relation, which is an ordered set of values from different domains.

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Function Main() Dim objBulk, objDTS, s Set objDTS = DTSGlobalVariables.Parent Set objBulk = CreateObject("SQLXMLBulkLoad.SQLXMLBulkload.3.0") objBulk.ConnectionString = objDTS.GlobalVariables("ConnectionString") objBulk.ErrorLogFile = objDTS.GlobalVariables("ErrorLog") objBulk.XMLFragment = True objBulk.SchemaGen = True objBulk.SGDropTables = True objBulk.Execute objDTS.GlobalVariables("XSD"), _ CStr(objDTS.GlobalVariables("XML") ) Main = DTSTaskExecResult_Success End Function

Data and programs in SQL Server are organized into logical components called database objects. Database users (administrators

and developers) access and manage information in SQL Server by accessing and managing database objects.

NOTE: If you have worked with or are familiar with some object-oriented programming language or methodology, let me warn you that database objects will not comply with the definitions found in such languages.

As with any other relational database system, the most important database objects in SQL Server are tables. Data in SQL Server is organized in tables, which consist of rows and columns. You can visualize SQL Server tables by thinking of the two-dimensional tables you find in spreadsheet applications such as Microsoft Excel. Usually, a table represents entities such as persons, assets, or locations. A row in a table corresponds to one instance of an entity (for example: one person, or one asset, or one location). Each column contains an attribute that describes some aspect of the entity. For example, a person can be described with columns representing first name, last name, date of birth, phone number, and other such characteristics. The major difference between tables that comply with the relational database concept and other types of tables is that the data in a column must describe only one attribute. All values in a column must belong to only one domain of appropriate values. An ordered set of values that belong to different domains is called a relation. The collection of column definitions and other table attributes (constraints) belongs to a table definition. This information is often called metadata information data about data. There are many types of table and column attributes. Constraints are database objects used to enforce rules that values in columns must follow to be written to the database. Database designers can use them to specify default values, to point to a list of allowed values, or to specify a rule that needs to be satisfied. Datatypes are objects that specify the type of data (number, character, dates, and so on) that can be stored in a column.

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