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Additionally, by using parameterized queries, we solve a couple of common issues. First, one of the biggest security vulnerabilities is the ability to inject functionality into a query (like dropping a table).1 One of the easiest ways to thwart this kind of vulnerability, called a SQL injection attack, is to use parameterized queries or stored procedures. Another advantage of using parameterized queries is the fact that we can take advantage of SQL Server s query plan caching. By reusing queries where the only change is the input parameters, SQL Server can determine an appropriate execution plan and cache it for later use. On subsequent requests, the server will use the cached plan rather than reevaluating the expression. If we concatenated the request SQL, the server would need to parse the expression each time to determine the most efficient execution plan based on the indexes available. Some SQL filtering options do not have a direct translation to keywords in the .NET Framework. In many cases, there is an alternative that performs the same or similar function. When it can, LINQ will translate the function call to the SQL equivalent. Let s consider the SQL LIKE clause. LIKE finds records based on a patternmatching scheme. Instead, the String type has three methods that serve the same function StartsWith, EndsWith, and Contains. LINQ to SQL has been designed to map these functions to the LIKE expression using the SqlMethods.Like method and inserts the wildcard matching pattern as appropriate. Thus in order to find all books containing the string "on", we use the LINQ expression shown in listing 6.11.

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What I want to do is to share with you my most-often used DMVs, and some of the neat things you can do with them. First I will list and explain the objects I will use, and then I will show you some sample code that I currently use in my own production environments. I will also indicate which objects are new in SQL Server 2008.

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If you re using the standard edition of MOSS or WSS (Windows SharePoint Services) 3.0, you ll need to upgrade to get the BDC functionality we re going to be talking about in this book.

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One of the great features of today s advanced Bluetooth technology is the ability to stream your music without wires via Bluetooth. The fancy name for this technology is A2DP, but it is simply known as Stereo Bluetooth.

If you are going to do more than just quickly scan the data that comes back from a DataReader query, you will probably use a data set to store, manage, and optionally update your data. Each data set provides a generic disconnected view of data, whether it is data from a provider, or data that you build through code. Although each provider is tied to a specific database platform (such as Oracle) or communication standard (such as OLE DB), the objects in the data set realm are generic, and can interact with any of the platform-specific providers. Three main objects make up the world of data sets: The DataSet object Each DataSet object acts like a mini database. You can add as many tables to a DataSet as you like, and establish foreign-key relationships between the fields of these tables. The internals of each DataSet are an unfathomable mystery, but you can export an entire DataSet to XML, and load it back in again later if you must. The DataTable object Each table in your DataSet uses a separate DataTable object, accessible through the DataSet s Tables collection. DataTables are also useful as standalone objects. If you plan to add only a single table to your DataSet, you might opt to just use a DataTable object alone without a DataSet. Within each DataTable object, separate DataColumn and DataRow objects establish the field definitions and the actual data values, respectively. The DataRelation object Use the DataRelation objects, stored within a DataSet s Relations collection, to establish field-level relationships and constraints between columns in your DataTable objects.

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