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In 9, I include several examples of subqueries that are used to demonstrate certain types of predicates, such as IN and EXISTS. This chapter, in many ways, is an extension of that discussion because of the way in which subqueries are most commonly implemented in the WHERE clause of a SELECT statement. An understanding of these types of subqueries goes hand in hand with an understanding of how certain predicates are formulated to create specific search conditions, search conditions that rely on those subqueries to return data from a referenced table. You can divide subqueries in a WHERE clause into two general categories: those that can return multiple rows and those that can return only one value. In this section, I discuss the first of these categories. In the next section, Create Subqueries That Return One Value, I discuss the second category. As I expand on each subject, you ll no doubt recognize the statement formats from my discussion of predicates. Although this information might seem a bit repetitive (which is why I keep it brief), it is presented here not only to provide a cohesive overview of subqueries, but also to provide a different perspective. In other words, rather than looking at subqueries through the perspective of the predicate, we ll look directly at the subquery itself. Despite the fact that my discussion focuses on subqueries that are implemented through the WHERE clause, the use of subqueries is not limited to that clause. Indeed, you can include

However, here is a query where the duplicate names cause a problem: Show the name, sales, and office for each salesperson.

SELECT NAME, SALES, CITY FROM SALESREPS, OFFICES WHERE REP_OFFICE = OFFICE; Error: Ambiguous column name "SALES"

12:

Although the English description of the query implies that you want the SALES column in the SALESREPS table, the SQL query is ambiguous. The DBMS has no way of knowing whether you want the SALES column from the SALESREPS table or the one from the OFFICES table, since both tables are contributing data to the query results. To eliminate the ambiguity, you must use a qualified column name to identify the column. Recall from 5 that a qualified column name specifies the name of a column and the table containing the column. The qualified names of the two SALES columns in the sample database are

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There are a number of ways you can classify statements in addition to how they re classified in the preceding list. For example, you can classify them according to how they re executed or whether or not they can be embedded in a standard programming language. The SQL:2006 standard provides ten broad categories based on function. However, I use the preceding method because it is commonly used in SQL-related documentation and because it is a simple way to provide a good overview of the functionality inherent in SQL.

A qualified column name can be used in a SELECT statement anywhere that a column name is permitted. The table specified in the qualified column name must, of course, match one of the tables specified in the FROM list. Here is a corrected version of the previous query that uses a qualified column name:

Part II:

In addition to defining how the language can be used, the SQL:2006 standard provides details on how SQL statements can be executed. These methods of execution, known as binding styles, not only affect the nature of the execution, but also determine which statements, at a minimum, must be supported by a particular binding style. The standard defines four methods of execution:

SELECT NAME, SALESREPS.SALES, CITY FROM SALESREPS, OFFICES WHERE REP_OFFICE = OFFICE; NAME SALESREPS.SALES CITY -------------- ---------------- -----------Mary Jones $392,725.00 New York Sam Clark $299,912.00 New York Bob Smith $142,594.00 Chicago Paul Cruz $286,775.00 Chicago Dan Roberts $305,673.00 Chicago Bill Adams $367,911.00 Atlanta Sue Smith $474,050.00 Los Angeles Larry Fitch $361,865.00 Los Angeles Nancy Angelli $186,042.00 Denver

Using qualified column names in a multitable query is always a good idea. The disadvantage, of course, is that they make the query text longer. When using interactive SQL, you may want to first try a query with unqualified column names and let SQL find any ambiguous columns. If SQL reports an error, you can edit your query to qualify the ambiguous columns.

Direct invocation By using this method, you can communicate directly from a front-end application, such as iSQL*Plus in Oracle or Management Studio in Microsoft SQL Server, to the database. (The front-end application and the database can be on the same computer, but often are not.) You simply enter your query into the application window and execute your SQL statement. The results of your query are returned to you as immediately as processor power and database constraints permit. This is a quick way to check data, verify connections, and view database objects. However, the SQL standard s guidelines about direct invocation are fairly minimal, so the methods used and SQL statements supported can vary widely from product to product.

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