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Figure 4-3a shows the set of people who have not entered an Open tournament. Figure 4-3b shows those members who have entered something other than an Open tournament (but not excluding those who may have entered an Open tournament as well!). Now look at Listings 4-7 and 4-8 again, and try to think which set of people we are retrieving. Listing 4-8 is actually retrieving those members who have entered something other than an Open tournament (but not excluding those who may have entered an Open tournament as well!). This is the set depicted in Figure 4-3b. The same members will be retrieved by the query in Listing 4-7, which uses NOT IN. It will retrieve all entries that are not for Open tournaments as opposed to all members who have not entered an Open tournament. It is a very common mistake to confuse these two different questions.

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To decide whether someone has entered an Open competition, we need to find just one matching entry. To decide he has not entered an Open competition, we need to check all the Open entries to make sure there is not one for him. In terms of our joined tables in Figure 4-2, finding those people who have entered an Open tournament is a simple relational algebra select operation. Remember that for a select operation we look at each row independently and decide whether it should be included in the returned set of rows. However, to find people who have not entered an Open tournament, we need to investigate every row in the table to ensure that there is not an entry for a particular member. This is a much more complex task than a simple select. We can see from the third row in Figure 4-2 that member 258 has entered a non-Open tournament, but we have to search further down the table to see that he has entered an Open tournament at a different time. In fact, we also need to consider the members who have never entered any tournaments at all. These members IDs will not appear in the Entry table at all, so we also have to investigate another table, the Member table, to find the complete list. The type of query described in the previous paragraph can be expressed in the relational algebra using one of the set operations that we will look at in 7. However, we can also use relational calculus to help us write the SQL statement for this type of query. To do that, we need first to introduce the EXISTS keyword.

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Next, build the class that will be bound to the DataGrid. Call the class GridData for simplicity, and give it three properties: Name (string), Age (int), and Male (Boolean). Also for simplicity, create a static method that will return an ObservableCollection (requires adding a using clause for System.Collections.ObjectModel) containing some sample data that will be bound to the grid. In addition, define the class directly in the MainPage.xaml.cs file. This is not really a good idea in the real world, but for the sake of an example, it will work just fine. Ideally, you will want to define your classes in separate files or even in completely separate projects and assemblies. The code for the GridData class follows: namespace SimpleDataGrid { public partial class MainPage : UserControl { public MainPage() { InitializeComponent(); } } public class GridData { public string Name { get; set; } public int Age { get; set; } public bool Male { get; set; } public static ObservableCollection<GridData> GetData() { ObservableCollection<GridData> data = new ObservableCollection<GridData>();

Two sets of Hibernate helper classes are supplied in different packages for Hibernate 2.x and Hibernate 3.x.

We saw different types of nested queries in the previous sections. It is useful to review some of the options here.

data.Add(new GridData() { Name = "John Doe", Age = 30, Male = true }); data.Add(new GridData() { Name = "Jane Doe", Age = 32, Male = false }); data.Add(new GridData() { Name = "Jason Smith", Age = 54, Male = true }); data.Add(new GridData() { Name = "Kayli Jayne", Age = 25, Male = false }); } } } return data;

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Jun 9, 2015 · A GS1 Parser for C#. Contribute to ... http://stackoverflow.com/questions/9721718​/ean128-or-gs1-128-decode-c-sharp/28854802#28854802.

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