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functionality available within SQL Server Management Studio and enables the user to modify the database schema and perform queries against it. The seamless integration with SQL Server Management Studio and Visual Studio also makes it easier to migrate a solution between the full SQL Server database engine and the Compact Edition. In many cases, it s enough to switch ADO.NET data providers in code and verify that your SQL statements don t rely on features or optional T-SQL syntax unique to one RDBMS implementation. Developer tool integration is unfortunately tied to a particular combination of tool and database engine versions. In order to use SQL Server Compact 3.5 and get full support of the IDE features, you ll need Visual Studio 2008 and SQL Server Management Studio 2008. If you try to open a database file from an older version of the database engine (such as SQL Server 2005 Mobile Edition), you may be prompted to upgrade the file to the latest file format. This is an irreversible process that ll render the database file unreadable by the GUI tools within earlier versions of the IDE.

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SQL Server Compact Edition provides both a native OLE DB provider and a managed ADO.NET data provider in order to support a wide range of development tools and

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There are several functions for rounding For example, suppose that we enter a vector: >> E = l-16 -15 -I4 I4 15 I6l;

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environments. To use the managed ADO.NET data provider, you need to add a reference to the System.Data.SqlServerCe.dll assembly and make use of the classes within the System.Data.SqlServerCe namespace. The developer experience is similar to using the standard System.Data.SqlClient namespace for SQL Server 2008. The main difference is that instead of a Sql prefix, the ADO.NET data provider classes use a SqlCe prefix. As well as standard ADO.NET data provider functionality, the SQL Server Compact Edition provider includes a number of extensions that can potentially provide more efficient access to data. These features tend to make up for the lack of views, triggers, and stored procedures. For example, listing 1 demonstrates how the query processor can be bypassed completely to more efficiently implement a select * from customers where cust_name like 'F%' style query.

The round function rounds the elements of E to the nearest integers: >> round(E) -2-2-1r22 The ceil (short fbr ceiling) function rounds to the nearestintegerstoward infinity: (E) -1

function rounds down to the nearestintegers toward minus infinity:

that can help you take your well-designed database from being simple data storage that has to be constantly validated on use and turn it into a trustable source of information. Every tool we presented can be coded in a manner that the database user needn t have any idea that it s running. We can t stop the user who wants to spell the name Michael as Micheal (or even F-R-E-D, for that matter), but we can stop someone from putting in a salary of -100, or entering NULL for required data, and we can do our best to avoid the most basic issues that take tons of time to code around when data is used. SQL Server provides tools such as data types to define the reasonable storage of values, NULL specifications to require data when it must be available, uniqueness constraints to prevent duplicate values, filtered unique indexes to prevent duplicate values on a subset of rows, foreign key constraints to ensure related data is correct, check constraints to make sure that values in the row meet the minimum standards, and finally, as a last resort, triggers to catch all other needs. None of this is all that hard to do. Even triggers are straightforward to code once you get the concept of multi-row handling. The hardest part is gaining the acceptance of the programmer community. During the development process, they re likely to get pinged with errors that they don t expect because they haven t written their code to cover all of the cases that might occur. Remind them that you re building an application for the future, not just to get done faster.

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Summary

There are also functionsthat perform specialactionson the elementsof matricesand For example, sumfunctionreturns sum of the elements: the the arrays >> F = l3 5 4 6 Il;

>> sum(F)

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