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This chapter described summary queries, which summarize data from the database: Summary queries use SQL column functions to collapse a column of data values into a single value that summarizes the column. Column functions can compute the average, sum, minimum, and maximum values of a column, count the number of data values in a column, or count the number of rows of query results. A summary query without a GROUP BY clause generates a single row of query results, summarizing all the rows of a table or a joined set of tables. A summary query with a GROUP BY clause generates multiple rows of query results, each summarizing the rows in a particular group. The HAVING clause acts as a WHERE clause for groups, selecting the row groups that contribute to the summary query results.

SELECT * FROM NEW_AGE;

13:

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However, views are very limited with regard to the types of statements and functionality that are supported. For example, you cannot include an UPDATE statement in a view, nor can you pass parameters to and/or from views. As a result, a better way to store this SELECT statement is as an SQL-invoked procedure. To do this, you must create a schema object by using the CREATE PROCEDURE statement, as shown in the following example:

CREATE PROCEDURE NEW_AGE_CDS ( ) 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 = 'New Age';

If the employee leaves the company before the shares vest and the restrictions lapse, he or she loses all rights to the shares..

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The SQL subquery feature lets you use the results of one query as part of another query. The ability to use a query within a query was the original reason for the word "structured" in the name Structured Query Language. The subquery feature is less well known than SQL's join feature, but it plays an important role in SQL for three reasons: A SQL statement with a subquery is often the most natural way to express a query, because it most closely parallels the English-language description of the query. Subqueries make it easier to write SELECT statements, because they let you "break a query down into pieces" (the query and its subqueries) and then "put the pieces together." Some queries cannot be expressed in the SQL language without using a subquery. The first several sections of this chapter describe subqueries and show how they are used in the WHERE and HAVING clauses of a SQL statement. The later sections of this chapter describe the advanced query expression capabilities that have been added to the SQL2 standard, which substantially expands the power of SQL to perform even the most complex of database operations.

This statement represents the minimum amount of information that you must provide in order to create a procedure. It includes a CREATE PROCEDURE clause that names the procedure (NEW_AGE_CDS), a set of parentheses, and a routine body, which is the SELECT statement. If you were defining parameters, their declarations would be enclosed in the parentheses. As you might well imagine, a CREATE PROCEDURE statement can be far more complex than what you see here. However, the statement in the example represents the basic structure on which you would build more extensive statements. Before I discuss more complicated procedures, let s first touch on the issue of how this statement is created in various SQL implementations. Earlier in the chapter, I told you that SQL implementations can vary widely with regard to the specifics of how SQL-invoked routines are created and called. As a result, few implementations support pure SQL when attempting to define your procedures. For example, both SQL Server and Oracle require that you use the AS keyword before the routine body. In addition, SQL Server does not use parentheses after the procedure name, whether or not parameters are being defined. Oracle, on the other hand, does use the parentheses, and it also requires some additional statements that enclose executable statements in BEGIN END blocks. As mentioned earlier, MySQL and DB2 closely follow the SQL standard. From this it should be clear that you simply must consult your product documentation whenever you re creating a procedure to determine how the product-specific language differs from the SQL standard.

Once you ve created your procedure, you can invoke (call) it by using a CALL statement. The basic syntax for the CALL statement is as follows: CALL <procedure name> ( [ <value> [ { , <value> } . . . ] ] ) As you can see, you must identify the name of the procedure in the CALL clause and follow that with the values (in parentheses) that are passed into the procedure as parameters. If no parameters are defined for the procedure, you must still use the parentheses. If more than

one parameter is defined for the procedure, you must separate them with commas. In addition, you must follow these guidelines when entering values:

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