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When you have control of the schema of the database, your best option for managing concurrency is to add a timestamp column to the table, and then build a check of the value into the update query. The database automatically updates the timestamp value whenever a change is made to the data. So as long as the timestamp value that was read still matches it when an update is attempted, you can rest assured that the data has not changed in the interim. A timestamp is binary data, so marshaling the value to and from a web browser requires some transformation along the way. You ll send the timestamp value to the browser in a hidden input. When the user sends changes back, you can retrieve it and use it in the where clause of your update. First, you ll need to modify the authors table and add a timestamp column to it. You ll do this on a copy of the authors table named authors_ts, as shown in Figure 10-8.

Figure 13-8. A model with a Resume entity with a Body property that contains the entire text of the applicant s resume There are two simple ways to avoid loading one or more properties on an entity. We can partially fill the entity using the constructor in eSQL, or we can use the ExecuteStoreQuery() method on the object context to execute a SQL statement. The code in Listing 13-13 illustrates both approaches. Listing 13-13. Returning partially filled entities using both eSQL and ExecuteStoreQuery() using (var context = new EFRecipesEntities()) { var r1 = new Resume { Title = "C# Developer", Name = "Sally Jones", Body = "...very long resume goes here..." }; context.Resumes.AddObject(r1); context.SaveChanges(); } using (var context = new EFRecipesEntities()) { // using the constructor var query = @"select value Recipe8.Resume(r.ResumeId, r.Title, r.Name,'') from Resumes as r"; var result1 = context.CreateQuery<Resume>(query).Single(); Console.WriteLine("Resume body: {0}", result1.Body); context.Resumes.MergeOption = MergeOption.OverwriteChanges; var result2 = context.Resumes.Single(); Console.WriteLine("Resume body: {0}", result2.Body); } using (var context = new EFRecipesEntities()) { // using ExecuteStoreQuery() var result1 = context.ExecuteStoreQuery<Resume>(@"select ResumeId, Title, Name,'' Body from chapter13.Resume", "Resumes", MergeOption.AppendOnly).Single(); Console.WriteLine("Resume body: {0}", result1.Body); var result2 = context.ExecuteStoreQuery<Resume>(@"select * from chapter13.Resume", "Resumes", MergeOption.OverwriteChanges).Single();

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Figure 7 15. Caught and fixed: the user experience as the original use case specified So what s the moral of the story We hope you ll agree with the following points: It s important for someone other than the developers to perform independent acceptance testing. The acceptance testing activity should exercise all permutations of sunny/rainy day scenarios. Getting the user experience right (using narrative use cases) is still of paramount importance. Structured scenarios help us to rigorously test all paths of a use case.

Console.WriteLine("Resume body: {0}", result2.Body); } The following is the output of the code in Listing 13-13: Resume body: Resume body: ...very long resume goes here... Resume body: Resume body: ...very long resume goes here...

Figure 10-8. The modified version of the authors table Here s the markup from the editing page. The user will pick an author for editing with the DropDownList. You re only creating an interface to edit the first and last name. Of course, usually you would create an interface for editing more of the data. What you re interested in for this demonstration, though, is the user control created just after the HTML table (see Concurrency3.aspx in Web10). <asp:Panel Runat=server ID=pnEdit Visible=false> <table> <tr> <td>First Name</td> <td> <asp:TextBox Runat=server ID=txtFirstName /> </td> </tr>

In the first query in Listing 13-13, we use the constructor for the Resume entity and selectively fill all the properties except for the Body property which we initialize to the empty string. If we later need to populate the Body property from the database, we simply change the MergeOption to MergeOption.OverwriteChanges and requery the database. The entire entity, including the Body property, is refreshed from the database. This, of course, will overwrite any changes we ve made to the object in memory. Another approach for partially filling an entity is to use the ExecuteStoreQuery() method on the object context. Here we execute a SQL statement that fills all the properties except for the Body property, which we initialize to the empty string. As with the first method, we can fill in the Body property from the database by setting the MergeOption to MergeOption.OverwriteChanges and requerying for the object for all the properties. The following recipe shows a model-centric and perhaps cleaner approach for this problem.

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