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The NEW_AGE_CDS procedure that we looked at in the previous examples can be very handy because it saves you having to create an SQL statement each time you want to view information about New Age CDs. However, in order to return information about other types of CDs, such as Blues or Country, you must create a new query or set up a procedure for the specific type of music. But there is another alternative. You can create a procedure that does not specifically define the music type but instead allows you to enter that type whenever you call that procedure. That way, you need only one procedure to check any desired type of music. To support this type of procedure, you must declare a parameter within the procedure definition that allows the procedure to accept input values when you call it. Let s return to the CD_INVENTORY table and CD_TYPES table shown in Figure 13-1. If we modify the

8:

Duplicate Row Elimination (DISTINCT)

13:

Recall from 6 that you can specify the DISTINCT keyword at the beginning of the select list to eliminate duplicate rows of query results. You can also ask SQL to eliminate duplicate values from a column before applying a column function to it. To eliminate duplicate values, the keyword DISTINCT is included before the column function argument, immediately after the opening parenthesis. Here are two queries that illustrate duplicate row elimination for column functions: How many different titles are held by salespeople

language of the procedure we created earlier, we can create a new procedure that includes the necessary input parameter, as shown in the following CREATE PROCEDURE statement:

SELECT COUNT(DISTINCT TITLE) FROM SALESREPS; COUNT(DISTINCT TITLE) ---------------------3

SELECT COUNT(DISTINCT REP_OFFICE) FROM SALESREPS WHERE SALES > QUOTA; COUNT(DISTINCT REP_OFFICE) --------------------------4

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CREATE PROCEDURE CDS_BY_TYPE ( IN p_CD_Type CHAR(20) ) SELECT CD_TITLE, CD_STOCK FROM CD_INVENTORY i, CD_TYPES t WHERE i.CD_TYPE_ID = t.CD_TYPE_ID AND CD_TYPE_NAME = p_CD_Type;

The DISTINCT keyword can be specified only once in a query. If it appears in the argument of one column function, it can t appear in any other. If it is specified before the select list, it can t appear in any column functions. The only exception is that DISTINCT may be specified a second time inside a subquery (contained within the query). Subqueries are described in 9.

Grouped Queries (GROUP BY Clause)

In the first line of code, a parameter is defined after the CREATE PROCEDURE clause. The parameter declaration includes the IN keyword, the name of the parameter (p_CD_Type), and the data type for that parameter (CHAR(20)), all of which are enclosed in parentheses.

The summary queries described thus far are like the totals at the bottom of a report. They condense all of the detailed data in the report into a single, summary row of data. Just as subtotals are useful in printed reports, it s often convenient to summarize query results at a subtotal level. The GROUP BY clause of the SELECT statement provides this capability. The function of the GROUP BY clause is most easily understood by example. Consider these two queries: What is the average order size

The p_ convention used to name the parameters is not necessary. However, I like to use some type of naming convention to set parameters apart, making them easier to pick out in the code.

SELECT AVG(AMOUNT) FROM ORDERS; AVG(AMOUNT) -----------$8,256.37

Part II:

SQL supports three types of parameters: input, output, and input/output. The three types are represented by the parameter mode keywords IN, OUT, and INOUT, respectively. Input parameters allow you to provide values when you invoke a procedure. Those values are then used within the routine body when the SQL statements are executed. Output parameters allow your procedure to provide values as a result of invoking the procedure. Input/output parameters are those that provide the functionality of both input and output parameters. You do not have to specify one of the parameter mode keywords when you define your parameters. However, if you don t specify one of the keywords, SQL assumes that you re defining an input parameter.

The NULL values for Tom Snyder represent missing or unknown data. He is new to the company and has not yet been assigned to a sales office or been given a sales quota. However, he has already made some sales. The data in his row of query results shows this clearly. SQL also lets you ask for calculated results. For example, you can ask SQL to calculate the amount by which each salesperson is over or under quota:

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