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SQL Server is the Web s most popular database solution because Web-based e-commerce requires rapid and seamless scalability. It supports scaling up (to a more powerful server), scaling out (to more servers working concurrently) and scaling down (to nonserver operating systems such as Windows 2000 Professional, Windows NT Workstation, Windows ME, Windows 98, or even Windows CE). When coupled with Windows 2000, SQL Server 2000 (Enterprise Edition) provides support for Symmetric Multiprocessing (SMP), so you can take advantage of up to 32 CPUs and 64 gigabytes of RAM. It can run different parts of a query on different CPUs in parallel, thus increasing the speed with which results are returned. The query optimizer uses hash and merge algorithms to improve join operations. SQL Server 2000 provides the ability to horizontally partition workloads across multiple SQL Server installations. A group of federated database servers can share horizontally partitioned data. They can be (indeed, they have to be) managed independently, but they will share the workload of application requests. Simplified configuration of fail-over clustering means that it is easier to maximize the availability of your database. You can even perform most maintenance tasks while your database remains online.

Figure 11-2

SQL Server 2000 has many improvements that support Very Large Databases (VLDB):

Performance of backup and restore operations is significantly improved. Bulk copy operations can be performed in parallel on the same table. Multiple indexes can be performed at the same time. It now supports terabyte databases.

All these improvements make SQL Server 2000 an ideal choice for intensive line-of-business (LOB) and data warehousing solutions.

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Datatypes specify the type of information (such as number, string, picture, date) that can be stored in a column or a variable. SQL Server had a very rich palette of available datatypes in earlier versions, but in version 7 Microsoft introduced some significant improvements. The highlight of these enhancements is the ability to store up to 8,000 characters in the varchar and char datatypes. The previous versions could handle only the standard 255 characters. SQL Server 2000 also introduces three new datatypes: sql_variant for storing any type of data, bigint for storing eight-byte integers, and the table datatype, which can store a complete resultset.

SQL Server recognizes more then two dozen system-defined datatypes. Apart from these datatypes, administrators are allowed to specify user-defined datatypes to fulfill specific needs. The major families of system-defined datatypes are

Character strings Unicode character strings Date and time Approximate numeric Exact numeric Monetary Binary Special

database. If your Visual SourceSafe database is not stored locally, use the Browse button to locate the shared srcsafe.ini file.

Character datatypes are designed to store character strings. The three different character types vary in length and features:

The char datatype is used to store strings of fixed size. As noted earlier, the maximum size of this datatype is 8,000 characters, which is a significant increase over the previous 255-character limit. When a variable or a table column is assigned with a string that is shorter than its nominal size, it is padded with trailing spaces. The varchar datatype stores strings of variable size. It can also be up to 8,000 characters long. When a variable or a table column is assigned with a string that is shorter than its nominal size, SQL Server does not add trailing spaces to it, but records it as is. In a table, varchar datatypes occupy two additional bytes in order to record the length of the string.

NOTE: Maintenance of this information requires some additional computation during I/O operation, but that time is usually countered by savings in the space required. A record using such columns will occupy less space, and more records will fit into a single page. Therefore, SQL Server will read more records when accessing data, and it is more likely that a single page contains the information that the user is looking for.

The text datatype is used to store huge amounts of information. One field can store up to 2GB (231 1 bytes) of information. Naturally, only a 16-byte pointer to this data is stored in the table. Therefore, additional processing overhead is involved with the use of text columns. There are special functions for processing text values.

4:

The following command will create a table with three fields using different character string datatypes:

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