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SELECT [columns] FROM [tables] WHERE [search_condition] ORDER BY [order_expression ASC | DESC] This format really just scratches the surface of SQL. If you want, you can create more sophisticated queries that use subgrouping, averaging and totaling, and other options (such as setting a maximum number of returned rows). By performing this work in a query (instead of in your application), you can often create far more efficient applications. The next few sections present sample Select statements. After each example, a series of bulleted points breaks the SQL down to explain how each part of it works.

To create the two-variable data table, start with the data on the Two-Variable Interest Rates worksheet. The initial data looks just like the data in the One-Variable Interest Rates worksheet, shown earlier in Figure 2-9. Next, determine what the ending savings account value would be for initial investment amounts of $100.00 to $1,000.00, in $100.00 increments and savings terms of 12 months to 60 months. Do the following to create the data table and format the results: 1. In cell B5, type 100. 2. Select cells B5 through B14. 3. Click Edit Fill Series. 4. In the Step Value box, type 100. 5. Click OK. 6. In cell C4, type 12. 7. Select cells C4 through G4. 8. Click Edit Fill Series. 9. In the Step Value box, type 12. 10. Click OK. 11. Select cells B4 through G14. 12. Click Data Table. 13. In the Row Input Cell box, type or click cell B3. 14. In the Column Input Cell box, type or click cell B1. 15. Click OK. 16. Select cells B5 through G14. 17. Click Format Cells. 18. Click Currency in the Category list. 19. Click OK. Compare your results to Figure 2-11.

The following is a typical (and rather inefficient) Select statement for the pubs database. It works with the Authors table, which contains a list of authors: SELECT * FROM Authors The asterisk (*) retrieves all the columns in the table. This isn t the best approach for a large table if you don t need all the information. It increases the amount of data that has to be transferred and can slow down your server. The From clause identifies that the Authors table is being used for this statement. The statement doesn t have a Where clause. This means all the records will be retrieved from the database, regardless of whether it has 10 or 10 million records. This is a poor design practice, because it often leads to applications that appear to work fine when they re first deployed but gradually slow down as the database grows. In general, you should always include a Where clause to limit the possible number of rows (unless you absolutely need them all). Often, queries are limited by a date field (for example, including all orders that were placed in the last three months). The statement doesn t have an Order By clause. This is a perfectly acceptable approach, especially if order doesn t matter or you plan to sort the data on your own using the tools provided in ADO.NET.

Here s another example that retrieves a list of author names: SELECT au_lname, au_fname FROM Authors WHERE State='CA' ORDER BY au_lname ASC Only two columns are retrieved (au_lname and au_fname). They correspond to the first and last names of the author. A Where clause restricts results to those authors who live in the specified state (California). Note that the Where clause requires apostrophes around the value you want to match, because it s a text value. An Order By clause sorts the information alphabetically by the author s last name.

Notice that on line 2 of Listing 9-2 the App helper is an extension of the Helper object. Now, whatever functions you place in this helper can be accessed by any of the helpers you may create. For now, I ve left the AppHelper class empty, but later I ll use it to build some functionality into all the helpers to fit your customizations.

Here s one last example: SELECT TOP 100 * FROM Sales ORDER BY ord_date DESC This example uses the Top clause instead of a Where statement. The database rows will be sorted by order date, and the first 100 matching results will be retrieved. In this case, it s the 100 most recent orders. You could also use this type of statement to find the most expensive items you sell or the best-performing employees.