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In this section, you will develop a Windows Forms application. This will be a car-tracking application that lets a user track the prices of cars over time and determine where the listing was observed. You will first use Visual Studio to create the database and the tables, and then you ll add some data and validate some of the concepts you just learned. You will then create a Windows application that will use your data and build a data-centric application that lets users store any amount of data. Refer to Figure 8-2 for the database diagram pertaining to this section s example.

When you work with Unicode data, a SQL collation uses the same rules as the matching Windows collation To see which Windows collation a certain SQL collation matches, you can view the description column in the output from fn_helpcollations() The name of a SQL collation always starts with SQL_ followed by a language indicator, similar to the name of a Windows collation Likewise, names for SQL collations include CI/CS and AI/AS to indicate case and accent sensitivity Some binary SQL collations also exist In contrast to names for Windows collations, SQL collations always include the code page for single-byte characters in the name For some reason, though, CP1252, Windows Latin-1, appears as CP1 in the names Many SQL collations relate to American National Standards Institute (ANSI) code pages, that is, code pages used by non-Unicode Windows applications.

But there are also SQL collations for the OEM code pages CP437 and CP850; that is, code pages used in the command-line window There are even a few SQL collations for EBCDIC Sort Orders With a SQL collation, you can get different results depending on the data type For instance, in the example with the 14 words, if we run it with word as nvarchar and with the commonly used SQL collation SQL_Latin1_General_CP1_CI_AS, the result is the same as when we used Latin1_General_CI_AS But if you change word to be varchar, you get this result:.

collatedword ------------- IL il cloud CSAK cukor Oblige l Opera RESUME resume r sum R SUM resumes r sum s rank -----1 2 3 4 5 6 7 8 9 9 10 10 11 12 wordno -----5 10 1 6 11 2 12 7 8 4 3 13 9 14

A spatial index is stored as an internal table with a clustered index. The consistency checks must validate that the spatial index contains an accurate decomposed representation of the spatial values in the user table. The mechanism for doing this is similar to that for the indexed-view consistency checks and can be visualized using the same style of query, although a T-SQL query is not used. In this case, the two left-anti-semi-joins can be thought of as between the actual spatial index and a temporary copy of the spatial index generated by the spatial subsystem. Any extra rows in the spatial index are reported as 8907 errors and any missing rows are reported as 8908 errors. This check can be very time- and space-consuming, depending on how the spatial index was de ned. The higher the number of cells at each grid level of decomposition inside the index bounding box and the higher the number of stored matching grid cells per spatial value, the longer it takes to generate the temporary copy of the spatial index and the more likely it is to take up space in tempdb. This check is not performed by default in SQL Server 2008 and must be enabled using the EXTENDED_LOGICAL_CHECKS option.

SQL Server is well integrated because Visual Studio provides a great software development kit (SDK) for other components to plug into the IDE.

DBCC CHECKDB outputs information in four ways: