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So, when you discover that you cannot perform another operation on the existing connection, what should you do Simply open another connection I suggest you rethink your application strategy. Consider the following scenario. Your application has opened a connection and executed a query, which returns a rowset as a DataReader. In an attempt to save time and resources, you ve decided not to create and populate a memory-resident DataTable (or DataSet). To implement your decision, you execute a query and ADO.NET supplies a SqlDataReader, which is a pipe to the rowset. While processing the DataReader row by row, you determine that some changes are needed in the database based on a row s data values. At this point you discover that you can t reuse the DataReader object s connection to make the change, so you re tempted to open another connection or somehow figure out how MARS works. Can you see the problem here Because you re using SQL Server (and not some toy database), it makes a lot more sense to perform this type of operation on the server. After all, SQL Server is a service designed to manage database operations. In this case, I would recommend that you write a stored procedure to make these changes in place. And no, I m not suggesting that you build a cursor in a stored procedure to walk through and edit the rows. In many cases row-by-row operations can be performed by a simple (and sometimes not-so-simple) UPDATE statement with far better performance. Why don t developers do this in the first place Well, some are uncomfortable with more than basic T-SQL operations. My suggestion in this case is to get familiar with T-SQL and stored procedures and learn how to leverage the server-side power of SQL Server. Consider that any number of scenarios resemble the one I described previously. That said, some situations require multiple connections, but before your application charges off to open a second connection (or even consider MARS) I suggest you
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reconsider what the application is trying to accomplish. It usually makes a lot of sense to complete rowset population as quickly as possible to free up server-side resources being consumed by your connection. This means leveraging the TableAdapter Fill or DataTable Load methods to construct or load a memory-resident DataTable with the selected rowset(s).
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Rowset population is the process of bringing the entire selected rowset to the client. Doing so frees any pending locks on the data rows, pages, and extents on the server. It can also free your connection for additional operations by your application (or others) needing SQL Server resources your application might be holding.
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Although you have little control over some parts of SQL Server query processing, there are other aspects of application implementation where you can manage to improve performance. These include limiting the number of demands your application makes on the server as well as the quality or intelligence of these requests. Most data access developers agree that it s not only the number of server requests, but the intelligence of them that makes a difference between an application that can support 100 users and one that can support thousands. Each time you execute a query or perform a data definition language (DDL) operation, the client-side data access provider (typically implemented by ADO.NET s SqlClient namespace) must build a set of TDS packets, hook up the connection, pass the query to the server, and process the result sets as they are made available by SQL Server. This process is called a round trip. Generally, anything you can do in your application to make each round trip more efficient can help improve performance it s like avoiding a trip down the mountain for an egg when you know you ll need another tomorrow or in an hour. This means if you can bundle several queries or other operations together in a batch instead of sending the commands individually, you can improve performance by reducing round trips. It also means executing queries that return enough rows to satisfy the user s immediate requirements and perhaps a few more to permit the user to browse or filter the returned rowsets. But consider this scenario: you want your application to start quickly but your design requires execution of a number of time-consuming queries against one or more SQL Server (or other DBMS) databases to populate pick lists and fetch current status. Does it make sense to open more than one connection to perform parallel (possibly asynchronous) operations to improve performance Sure, in some cases I can see this as a viable approach especially if the extra connections are closed after use. But another approach that I ve been recommending lately uses the new Visual Studio 2008 Local Data Cache classes that leverage SQL Server Compact edition to persist lookup table data on the client system. Although this does not make sense for ASP.NET applications, for applications that are permitted to use the client systems resources, I think letting the replication connection (that works independently of your own SQL Server connection) handle these independent operations has appeal.
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