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CHAPTER 31 LINQ TO DATASET
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DataRowComparer.Default); // enumerate the common data foreach (DataRow row in results) { Console.WriteLine("Common Item - Name: {0} {1}, City: {2}", row.Field<string>("FirstName"), row.Field<string>("LastName"), row.Field<string>("City")); } // close the database connection myConnection.Close(); // wait for input before exiting Console.WriteLine("Press enter to finish"); Console.ReadLine(); } } I can t easily demonstrate time-lapsed queries for this book, so in Listing 31-9 I have made two slightly different queries from the same Northwind table. The first query selects the rows that have a City value of London or Seattle, and the second selects the rows that have a City value of London or Redmond. I place the results of both queries into the same DataSet using the Fill method of the SqlDataAdapter class. I use the Intersect extension method to find the DataRows, which are common to both sets of results. This method operates on one IEnumerable<T> and takes another IEnumerable<T> as a parameter to use for comparison. We have to be careful here. The extension methods checks to see whether the objects are the same, but we want to compare the row data inside the object. To address this, we pass a parameter that contains an object that is capable of comparing DataRow objects, and we get this using the static DataRowComparer.Default property. So, we end up with the following statement to perform the comparison: IEnumerable<DataRow> results = myDataSet.Tables["LondonOrSeattle"].AsEnumerable() .Intersect(myDataSet.Tables["LondonOrRedmond"].AsEnumerable(), DataRowComparer.Default); The result of the Intersect method is an IEnumerable<T> where T is DataRow in our example. That is to say, we get a collection of the DataRows that are common to both queries. Compiling and running Listing 31-9 produces a list of employees who are based in London: Common Item Common Item Common Item Common Item Press enter - Name: Steven Buchanan, City: London - Name: Michael Suyama, City: London - Name: Robert King, City: London - Name: Anne Dodsworth, City: London to finish
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CHAPTER 31 LINQ TO DATASET
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You can use the Except extension method to remove any rows in one DataTable, which also exist in another DataTable. Listing 31-10 provides a demonstration. Listing 31-10. Querying for Distinct Data Rows using using using using using using System; System.Configuration; System.Data; System.Data.SqlClient; System.Linq; System.Collections.Generic;
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class Listing 10 { 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 exception of the data IEnumerable<DataRow> results = myDataSet.Tables["LondonOrSeattle"].AsEnumerable() .Except(myDataSet.Tables["LondonOrRedmond"].AsEnumerable(), DataRowComparer.Default); // enumerate the common data foreach (DataRow row in results) { Console.WriteLine("Item - Name: {0} {1}, City: {2}", row.Field<string>("FirstName"),
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CHAPTER 31 LINQ TO DATASET
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row.Field<string>("LastName"), row.Field<string>("City")); } // close the database connection myConnection.Close(); // wait for input before exiting Console.WriteLine("Press enter to finish"); Console.ReadLine(); } } The Except method is applied to one DataTable and takes the other DataTable as a parameter. And, as with the Interset operator, we have to provide the value of the static DataRowComparer.Default property so that the Except method will be able to compare DataRow objects properly. The effect of using the Except method on the data returned by my queries in Listing 31-10 is to create a list of the employees who are based in Seattle. Here is the output from compiling and running the listing: Item - Name: Nancy Davolio, City: Seattle Item - Name: Laura Callahan, City: Seattle Press enter to finish
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