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(You can find even more useful links with a Google search on data modeling ) These tools have very powerful features for designing relational database structures and even generate the SQL code to turn them into real databases Regardless of the database engine you re using, design your tables in a visual way (even with a pen and paper) rather than start by writing SQL queries Next, you implement the data tier objects This is the place you start playing with your database because you need to implement the data access logic that will support the other tiers in your application In the process, you ll probably want to populate the database with some fictive examples to have a base for testing your queries Before writing the queries as data tier objects, test them using a visual interface to the database engine that allows executing and debugging SQL queries.

In 11, we had a look at temporary tables by defining a table in code prefixing the name with a hash mark (#) Temporary tables allow you to split a complex query or a query that, if built as one unit, would run slow due to the complexity of the joins SQL Server would have to do Therefore, creating a set of subdata in the first query would aid the performance of the query in the second Another scenario where you may use temporary tables is when you wish to create some sort of grouping of information and then use that grouping for further analysis As an example, you might create a temporary table that contains a sum of each day s transactions within a bank account The second part of the query takes the temporary table and uses it to calculate the daily interest accrued.

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Entry.all is just a shortcut for the older style (pre Rails 2.0) alternative of Entry.find(:all).

A common table expression (CTE) is a bit like a temporary table It s transient, lasting only as long as the query requires it Temporary tables are available for use during the lifetime of the session of the query running the code or until they are explicitly dropped The creation and use of temporary tables is a two- or three-part phase: table creation, population, and use A CTE is built in the same code line as the SELECT, INSERT, UPDATE, or DELETE statements that use it The best way to understand a CTE is to demonstrate an example with some code Within the AdventureWorks database, there are a number of products held in the ProductionProduct table For this example, let s say you want to know the maximum list price of stock you re holding over all the product categories.

This will make your life easier when debugging the SQL code because, as all SQL developers know, the code doesn t always work as you expect it to the first time After the data tier is in place, you can continue by building the middle tier of your application In this book, you learned some techniques about implementing the middle tier for various parts of the site, but you might want to choose other techniques for your particular project Building the user interface is obviously the next step You already have a prototype that is usable only for design because, at the stage you created the prototypes, you didn t have a functional foundation.

Following on from that, the respond_to block determines that both HTML and XML responses can be given. The format.html directive has no associated code block because by default [action name].html.erb would be rendered (index.html.erb in this case). For the XML response, however, rather than rendering a file system template, the render method is used to render an XML representation of the data referenced by @entries directly. Using respond_to blocks can give you a lot of power if you need to accept requests that could demand varying types of output (such as HTML and XML, in this case), but if you

C ha P ter 13 W eB a PP LI C a t I O N F r a M e W O r K S : r a I LS , S I N a t r a , a N D r a M a Z e

Using a temporary table, this would be a two-part process, as follows: USE AdventureWorks GO SELECT pProductSubcategoryID, sName,SUM(ListPrice) AS ListPrice INTO #Temp1 FROM ProductionProduct p JOIN ProductionProductSubcategory s ON sProductSubcategoryID = pProductSubcategoryID WHERE pProductSubcategoryID IS NOT NULL GROUP BY pProductSubcategoryID, sName.

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