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As you know by now, SQL Server Modeling uses SQL Server as the Repository for persisting models. It can be used in a multi-user or team environment, as can the Repository. This means it is possible for more than one user to post conflicting changes to an entity or record in the database. Quadrant has a facility for resolving such conflicts. In this section, I ll show an example of how such a conflict can occur, and then how it can be resolved. Say, for example, User A changes the description for the Shock Absorbers entity from One for Each Wheel to Two for Each Wheel, and User B changes this to Three for Each Wheel by editing the table in SQL Server Management Studio. By doing this, the different users have introduced a discrepancy, or conflict, between the change made in Quadrant and the change made in SQL Server Management Studio. This could also happen if two are more team members are working with Quadrant on the same data but on two different computers. It could even happen if you have a second Quadrant session open to the same database. Figure 4-27 shows how such a conflict is indicated in Quadrant. Here again, the cursor shows an annotation as you hover over the indicator.

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As well as being able to read data, FasterCSV lets you create data in CSV format. To do this, you must have the data you want to write in an array in the correct order. This example demonstrates how you can convert an array of hashes into CSV-formatted output: require 'rubygems' require 'fastercsv' people = [ {:name => "Fred", :age => 10, :gender => :male},

<UserControl xmlns:data="clr-namespace:System.Windows.Controls; assembly=System.Windows.Controls.Data" x:Class="Ch6_WCFService.Page" xmlns="http://schemas.microsoft.com/winfx/2006/xaml/presentation" xmlns:x="http://schemas.microsoft.com/winfx/2006/xaml" Width="400" Height="300">

{:name => "Graham", :age => 34, :gender => :male}, {:name => "Lorraine", :age => 29, :gender => :female} ] csv_data = FasterCSV.generate do |csv| people.each do |person| csv << [person[:name], person[:age], person[:gender]] end end puts csv_data

Fred,10,male Graham,34,male Lorraine,29,female The FasterCSV class also provides an open method that lets you write direct to file as you go: FasterCSV.open("data.csv", "w") do |csv| people.each do |person| csv << [person[:name], person[:age], person[:gender]] end end

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n Note If you open the file with mode "a" instead of "w", then any data would be appended to the end of the existing data. With mode "w", the data is entirely replaced.

<Grid x:Name="LayoutRoot" Background="White"> <data:DataGrid></data:DataGrid> </Grid> </UserControl> 13. Highlight the DataGrid definition in the solution and replace it with the following DataGrid definition, which is from the previous DataGrid exercise in 5. The DataGrid contains three columns: one template column containing the two cards

Figure 4-27. A red exclamation point (!) indicates a concurrency conflict in the data. To resolve the conflict, bring up the Changes view (as shown in Figure 4-28) by double-clicking on Changes (1) in the status bar (or by using one of the other procedures described in the previous section). Right-click in the right frame of the window, and you will see you have three options: 1) saving the value of the description as proposed (in Quadrant), 2) saving the original value, or 3) saving the value as it is in the database.

FasterCSV also provides convenience methods on String and Array so you can convert single lines to and from CSV easily: puts ["Fred", 10, "male"].to_csv

["Fred", 10, "male"]

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FasterCSV also supports table data structures. It can use the first row of the CSV file as a list of column names so that you can use those column names to get easier access to the rest of the data in the table. To make FasterCSV read data in as a table with the first line as the header, set the :headers option to true on any of the FasterCSV class s reader methods. To make the following example work, assume data.csv contains these lines: Name,Age,Gender,Location Clive,53,male,UK Ann,55,female,France Eugene,29,male,California Now use this code to read in data.csv as a table: require 'rubygems' require 'fastercsv' require 'pp' csv = FasterCSV.read("data.csv", :headers => true) p csv

<data:DataGrid x:Name="grdData" Margin="15" AutoGenerateColumns="False"> <data:DataGrid.Columns> <data:DataGridTemplateColumn Header="Hand"> <data:DataGridTemplateColumn.CellTemplate> <DataTemplate> <Grid> <Grid.ColumnDefinitions> <ColumnDefinition /> <ColumnDefinition /> </Grid.ColumnDefinitions> <Border Margin="2" CornerRadius="4" BorderBrush="Black" BorderThickness="1" /> <Rectangle Margin="4" Fill="White" Grid.Column="0" /> <Border Margin="2" CornerRadius="4" BorderBrush="Black" BorderThickness="1" Grid.Column="1" /> <Rectangle Margin="4" Fill="White" Grid.Column="1" /> <TextBlock Text="{Binding Card1}" HorizontalAlignment="Center" VerticalAlignment="Center" Grid.Column="0" /> <TextBlock Text="{Binding Card2}" HorizontalAlignment="Center" VerticalAlignment="Center" Grid.Column="1" /> </Grid> </DataTemplate>

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