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selects pairs of rows where the QUOTA column from the SALESREPS row exceeds the TARGET column from the OFFICES row. Note that the pairs of SALESREPS and OFFICES rows selected are related only in this way; it is specifically not required that the SALESREPS row represent someone who works in the office represented by the OFFICES row. Admittedly, the example is a bit farfetched, and it illustrates why joins based on inequalities are not very common. However, they can be useful in decisionsupport applications and other applications that explore more complex interrelationships in the database.

Here is an example:

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The multitable queries described thus far have not required any special SQL syntax or language features beyond those described for single-table queries. However, some multitable queries cannot be expressed without the additional SQL language features described in the following sections. Specifically: I Qualified column names are sometimes needed in multitable queries to eliminate ambiguous column references. I All-column selections (SELECT *) have a special meaning for multitable queries. I Self-joins can be used to create a multitable query that relates a table to itself. I Table aliases can be used in the FROM clause to simplify qualified column names and allow unambiguous column references in self-joins.

The sample database includes several instances where two tables contain columns with the same name. The OFFICES table and the SALESREPS table, for example, both have a column named SALES. The column in the OFFICES table contains year-to-date sales for each office; the one in the SALESREPS table contains year-to-date sales for each salesperson. Normally, there is no confusion between the two columns, because the FROM clause determines which of them is appropriate in any given query, as in these examples:

Multitable Queries (Joins)

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SELECT LATE_OR_LOSS_FEE, SIGN(LATE_OR_LOSS_FEE) AS FEE_SIGN FROM MOVIE_RENTAL WHERE LATE_OR_LOSS_FEE IS NOT NULL; LATE_OR_LOSS_FEE FEE_SIGN ---------------- ---------29.99 1 4 1 4 1 29.98 1

Show all salespeople with sales over $350,000.

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"

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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 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:

The SQRT function takes in a single numeric expression and returns its square root. The general syntax is

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: Show the name, sales, and office for each salesperson.

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

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