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These things happen You have a fact table that has more than 150 columns in it You build a SQL*Loader control file to load data into a weekly partitioned table Life is good; pretty soon you ve got a billion rows in your table Then, the busy season hits, and you add another 3 billion rows in just a few months Pretty soon, someone realizes that the format of the data feed was changed inadvertently over that period of time, and several columns were transposed, switched on one another What to do When this happened on a project I worked on in 1998, we were running Oracle 8 v 8052 Parallel UPDATE commands had just been introduced, and using those was our first inclination Run an UPDATE statement against this 4-billion-row table, and switch those transposed columns back to the way they ought to be.

As an example, consider the following case. There are two types of sports cars: a real sports car that has a stick shift (manual transmission) and an imitation sports car that has an automatic transmission. Here is the code that defines the stick shift interface:

by their shared primary key value. Later, the subclass instance may be retrieved from the database by joining the subclass table with the superclass table. The primary advantage of this strategy is that the SQL schema is normalized. Schema evolution and integrity constraint definition are straightforward. A polymorphic association to a particular subclass may be represented as a foreign key referencing the table of that particular subclass. In Hibernate, you use the <joined-subclass> element to create a table per subclass mapping. See listing 5.3.

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The view s responsibility can be deceptively simple. Its goal in life is to take the model given to it and use it to render content. Because the controller and related services already executed all the business logic and packaged the results into a model object, the view only needs to know how to take that model and turn it into HTML. Although this separation of concerns removes much of the responsibility that can plague traditional ASP.NET applications, views still need to be carefully and deliberately designed. Views require knowledge and understanding of the building blocks of the web, including HTML, CSS, and JavaScript. In this chapter, we ll examine how ASP.NET MVC renders views, how the default WebFormViewEngine functions, and how to structure and organize views. Then we ll look at a couple of approaches for using the model to render content in a view. Finally, we ll cover the templating features new to ASP.NET MVC 2.

Assigns a resource to the project Returns a child object based on a resource Id value Removes a child object based on a resource Id value Searches for a child object based on a resource Id value Searches for a deleted child object based on a resource Id value

Only statements that use the explicit SQL string substitution syntax are at risk in iBATIS. Consider this quick example. The following statement allows for a dynamic table name and column name:

The data source control itself; used directly by the UI developer Provides the actual implementation of data binding for CslaDataSource The Visual Studio designer for CslaDataSource Provides schema information and sample data for the designer The schema object for a business object, responsible for returning an instance of ObjectViewSchema Provides actual information about a business object; specifically information about all the business object s bindable properties Maintains information about a specific field in the object schema

Figure 4.28 TFS Team Build in the TFS landscape. As you can see, the build server is only part of the architecture.

We had a good-sized 32 CPU Sun E6500, pretty good hardware for the time So, we should be able to drive an UPDATE with parallelism of 64, 96, or 128 for an emergency like this, right It quickly became obvious that we were going nowhere with that approach Redo generation went through the roof, causing the UPDATEs to bottleneck on log file sync waits as the LGWR was overwhelmed Moreover, while this huge UPDATE statement was running, we had to monitor the rollback segments to which each of the parallel worker processes attached themselves, and constantly add more space Our update was going nowhere So we took a different approach For each of the affected weekly partitions, we ran a highly parallel, unrecoverable (nologging) CREATE TABLE AS SELECT statement.

The following code shows the full transformation. The first line of Main shows an anonymous method being assigned to variable del. The second line shows the same anonymous method, after having been transformed into a lambda expression, being assigned to variable le1. delegate double MyDel(int par); static void Main() { MyDel del = delegate(int x) MyDel MyDel MyDel MyDel le1 le2 le3 le4 = = = = (int x) (x) x x

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