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A correlated subselect is a subselect where the inner select refers to values provided by the outer select. These are far less ef cient than noncorrelated subselects because the inner query must be invoked for each row found by the outer query. Recall that with a noncorrelated subselect, the inner query is only run once. An example follows. The store wishes to mail a discount coupon to any customer who paid more than $15 in rental fees in any single rental transaction. Here is the query:

Figure 6-11.

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This query uses the NULL value test to find the salesperson in the sample database who has not yet been assigned to an office: Find the salesperson not yet assigned to an office.

The negated form of the NULL value test (IS NOT NULL) finds rows that do not contain a NULL value: List the salespeople who have been assigned to an office.

SELECT DISTINCT CUSTOMER_ACCOUNT_ID FROM CUSTOMER_TRANSACTION A WHERE 15 < (SELECT SUM(RENTAL_FEE) FROM MOVIE_RENTAL B WHERE A.TRANSACTION_ID = B.TRANSACTION_ID) CUSTOMER_ACCOUNT_ID ------------------2 7 9

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SELECT NAME FROM SALESREPS WHERE REP_OFFICE IS NOT NULL NAME -------------Bill Adams Mary Jones Sue Smith Sam Clark Bob Smith Dan Roberts Larry Fitch Paul Cruz Nancy Angelli

Unlike the previously described search conditions, the NULL value test cannot yield a NULL result. It is always either TRUE or FALSE.

It may seem strange that you can t just test for a NULL value using a simple comparison search condition, such as this:

Note the alias assigned to the table names in the inner and outer queries and the use of them in the WHERE clause in the inner query. This is the hallmark of a correlated subselect. The outer select nds a distinct list of CUSTOMER_ACCOUNT_ID values in the CUSTOMER_TRANSACTION_TABLE. For each value found, the value is passed to the inner query, which is run to nd the sum of rental fees for that transaction. If the sum of rental fees is greater than or equal to 15 (actually expressed

The NULL keyword can t be used here because it isn t really a value; it s just a signal that the value is unknown. Even if the comparison test:

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were legal, the rules for handling NULL values in comparisons would cause it to behave differently from what you might expect. When SQL encountered a row where the REP_ OFFICE column was NULL, the search condition would test:

Is the result TRUE or FALSE Because the values on both sides of the equal sign are unknown, SQL can t tell, so the rules of SQL logic say that the search condition itself must yield a NULL result. Because the search condition doesn t produce a true result, the row is excluded from the query results precisely the opposite of what you wanted to happen! As a result of the way SQL handles NULLs in comparisons, you must explicitly use the NULL value test to check for NULL values.

Compound Search Conditions (AND, OR, and NOT)

in the query as if 15 is less than the sum of rental fees ), then the WHERE clause in the outer select evaluates to true, and the corresponding CUSTOMER_ID is added to the result set.

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The simple search conditions described in the preceding sections return a value of TRUE, FALSE, or NULL when applied to a row of data. Using the rules of logic, you can combine these simple SQL search conditions to form more complex ones, as shown in Figure 6-12. Note that the search conditions combined with AND, OR, and NOT may themselves be compound search conditions.

Figure 6-12.

The keyword OR is used to combine two search conditions when one or the other (or both) must be true: Find salespeople who are under quota or with sales under $300,000.

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.net core qr code generator

.net core qr code generator

.net core qr code generator

.net core qr code generator

.net core qr code generator

.net core qr code generator

.net core qr code generator

.net core qr code generator

.net core qr code generator

.net core qr code generator

.net core qr code generator