ASP.NET Web PDF Document Viewer/Editor Control Library

// Create a command to insert the customer XML in the database table using (SqlCommand cmd = new SqlCommand( "INSERT Customer(CustomerData) VALUES(@custData)", cnn)) { cnn.Open(); // Create an SqlXml instance and pass it as a parameter SqlXml custXml = new SqlXml(custReader); SqlParameter param = cmd.Parameters.Add("@custData", SqlDbType.Xml); param.Value = custXml; // Execute the query (inserts the Customer XML) cmd.ExecuteNonQuery(); } // Dispose command, connection and XML reader } This example begins by creating an XmlReader to read the data from an external XML file named CustomerData.xml. Then, after creating and opening a database connection, it creates an SqlXml instance using the XmlReader. It then executes an INSERT command, passing the SqlXml instance as a parameter to the SqlCommand object. As a result, the XML data is saved in the CustomerData column of the Customer table. Retrieving the XML data into your application is also straightforward. To handle this scenario, the SqlDataReader class provides a new GetSqlXml method that returns the data at the given column as a SqlXml instance. In addition, the SqlXml.CreateReader method creates and returns an XmlReader instance that you can use to navigate the XML contents. The following code demonstrates how to use these new methods to display the contents of an XML typed column. static void DisplayCustomerData() { using (SqlConnection cnn = new SqlConnection(cnnString)) using (SqlCommand cmd = new SqlCommand( "SELECT * FROM Customer", cnn)) { cnn.Open(); // Use the standard ExecuteReader method to retrieve data reader SqlDataReader reader = cmd.ExecuteReader(); while(reader.Read()) { // Use GetSqlXml to retrieve the CustomerData column as an // SqlXml instance. SqlXml customerXml = reader.GetSqlXml(1);

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If you put a timer on these web service calls, you would see that they take significant time to execute, even seconds depending on your network connection, and this can be a serious idle time for your application. To remedy this problem, you can either minimize the number of web service calls through some sort of caching (for instance, in a web application you can store web service data in the session or even the application state and reuse it instead of making new calls) or make these calls in parallel, asynchronously. For example, it makes sense to connect to two webs services simultaneously and wait for both responses to come back before proceeding with the rest of an operation. The easiest and most compositional way to access a web service asynchronously is to use the asynchronous workflows discussed in 13. The proxy code generated for the web service includes methods such as BeginGetWeatherByPlaceName and EndGetWeatherByPlaceName that follow the style for .NET library asynchronous invocations described in 13. We first map these pairs of operations into methods that construct asynchronous tasks. As in 13, we do this by defining extension members to the types in the generated code. type WebReferences.WeatherForecast with member ws.GetWeatherByPlaceNameAsyncr(placeName) = Async.BuildPrimitive(placeName, ws.BeginGetWeatherByPlaceName, ws.EndGetWeatherByPlaceName)

50.78 41.87 53.75 31.03 72.22 69.23 94.44 96.47

Like lists and tuples, option values are simple constructs frequently used as the workhorses in F# coding. An option is simply either a value Some(v) or the absence of a value None. For example,

As Table 7-6 shows, the logical I/Os decrease in general with a decrease in fetch size. Toward the end, though, diminishing returns do set in as expected. A critical fact to remember is that the preceding benchmark was run with the assumption that you want all rows to be returned as soon as possible. Many times that is not what you want. For example, a query may return a total of 50,000 rows, but you may be interested in getting only the first 15 rows as soon as possible. This could be your requirement if your query results are being displayed on a web page 15 rows at a time. In such cases, it does not make sense to set the fetch size for your query to a large value such as 1,000, even though that may be optimal in terms of getting all rows in your query as fast as possible; a smaller value of somewhere between 15 and 50 (or even retaining the default value of 10) may be more appropriate. Setting the fetch size becomes somewhat less critical in such a situation. From the preceding discussion, we can conclude that tuning the fetch size can have a dramatic impact on the performance of your application, depending on the size of each row and how costly a network round-trip is to your application. You should be aware of what your goals are when you set this value for a given query (e.g., to get all rows as fast as possible or to get the first n rows as fast as possible).