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ConsoleReadLine(); } } When I call the Fill method, I specify the name I want assigned to the DataTable object that will be created to hold the data To keep things consistent, I use the same names as the SQL Server tables from which the data was obtained The main reason for putting multiple sets of data into a DataSet in this way is to perform a LINQ join operation, which is what I have done in Listing 31-8 This query looks more complicated than it really is because of the verbose syntax for accessing fields in the DataRow objects, but the query just joins orders and employees that share a common ID and are in London and projects an anonymous type that is then grouped using one of the type properties The result is that the orders are grouped by the name of the employee who created them.

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There are a lot of orders in the Northwind database, so to reduce the size of the output, I have used the Take extension method, which retrieves only the specified number of items from the data source: foreach (var order in groupTake(2)) { ConsoleWriteLine("Order ID: {0}", orderOrderID); } A parameter value of 2 means that my foreach loop receives only the first two orders for each employee One of the features of the LINQ extension methods is that you can use them outside of LINQ queries like this.

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Compiling and running Listing 31-8 produces the following results: Employee: Steven Buchanan Order ID: 10248 Order ID: 10254 -----------Employee: Michael Suyama Order ID: 10249 Order ID: 10264 -----------Employee: Robert King Order ID: 10289 Order ID: 10303 -----------Employee: Anne Dodsworth Order ID: 10255 Order ID: 10263 -----------Press enter to finish Of course, we could have performed the same join operation using a SQL statement, but the benefit of having an in-memory cache like DataSet is that we can perform different queries on the data returned from a single SQL query and avoid putting additional load on the database The decision as to which approach should be used can often be finely balanced and will vary from project to project..

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You can use LINQ to compare the contents of two DataTable objects. I tend to find this most useful when comparing snapshots generated by the same query at two different times. This is something that isn t often set up in production databases but that can be useful for tracking down data-related bugs.

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The first kind of comparison we will look at is an intersection, which is the set of DataRow objects that two DataTables have in common. Listing 31-9 provides a demonstration. Listing 31-9. Using the Intersect Extension Method to Find Common Data Rows using using using using using using class System; System.Collections.Generic; System.Configuration; System.Data; System.Data.SqlClient; System.Linq; Listing 09 {

The output produced with Listing 6-17 is identical to that of 6-16. While the output is the same, there are many differences between the two APIs. First, the Iterator API allows you to peek ahead without actually reading the stream. This allows you to check ahead to see what to do next before committing to reading the element. While the Cursor API is more efficient in memory-constrained environments, the Iterator API supports modifications, and is best when pipelining streams. If the Iterator API is sufficient, it is typically best to stick with that for desktop and web applications. For more information on StAX parsing, visit its java.net home at https://sjsxp.dev. java.net. The Java Web Services tutorial (http://java.sun.com/webservices/docs/1.6/ tutorial/doc) includes a good introduction to the technology, too.

static void Main(string[] args) { // get the connection string from the config file ConnectionStringSettings connStringSettings = ConfigurationManager.ConnectionStrings["NorthwindConnection"]; // create the connection object SqlConnection myConnection = new SqlConnection(connStringSettings.ConnectionString); // create the SqlDataAdapters SqlDataAdapter adapter1 = new SqlDataAdapter( "SELECT * FROM Employees WHERE City='London' OR City = 'Seattle'", myConnection); SqlDataAdapter adapter2 = new SqlDataAdapter( "SELECT * FROM Employees WHERE City='London' OR City = 'Redmond'", myConnection); // create the DataSet object DataSet myDataSet = new DataSet(); // fill the dataset into the named tables adapter1.Fill(myDataSet, "LondonOrSeattle"); adapter2.Fill(myDataSet, "LondonOrRedmond"); // find the intersection of the data IEnumerable<DataRow> results = myDataSet.Tables["LondonOrSeattle"].AsEnumerable() .Intersect(myDataSet.Tables["LondonOrRedmond"].AsEnumerable(),

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