Logical Operators

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Sams Teach Yourself SQL in 24 Hours, Third Edition
By Ronald R. Plew, Ryan K. Stephens
Table of Contents
Hour 8.  Using Operators to Categorize Data


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Logical operators are those operators that use SQL keywords to make compar-isons instead of symbols. The logical operators covered in the following subsections are

  • IS NULL

  • BETWEEN

  • IN

  • LIKE

  • EXISTS

  • UNIQUE

  • ALL and ANY

IS NULL

The NULL operator is used to compare a value with a NULL value. For example, you might look for employees who do not have a pager by searching for NULL values in the PAGER column of the EMPLOYEE_TBL table.

The following example shows comparing a value to a NULL value:

Example

Meaning

WHERE SALARY IS NULL

Salary has no value

The following example does not find a NULL value:

Example

Meaning

WHERE SALARY = NULL

Salary has a value containing the letters N-U-L-L

 graphics/input_icon.gif  SELECT EMP_ID, LAST_NAME, FIRST_NAME, PAGER   FROM EMPLOYEE_TBL   WHERE PAGER IS NULL;  graphics/output_icon.gif EMP_ID    LAST_NAM FIRST_NA PAGER --------- -------- -------- ----- 311549902 STEPHENS TINA 442346889 PLEW     LINDA 220984332 WALLACE  MARIAH 443679012 SPURGEON TIFFANY 4 rows selected. 

Understand that the literal word "null" is different than a NULL value. Examine the following example:

 graphics/input_icon.gif  SELECT EMP_ID, LAST_NAME, FIRST_NAME, PAGER   FROM EMPLOYEE_TBL   WHERE PAGER = NULL;  graphics/output_icon.gif no rows selected. 

BETWEEN

The BETWEEN operator is used to search for values that are within a set of values, given the minimum value and the maximum value. The minimum and maximum values are included as part of the conditional set.

Example

Meaning

WHERE SALARY BETWEEN '20000' AND '30000'

The salary must fall between 20000 and 30000, including the values 20000 and 30000

 graphics/input_icon.gif  SELECT *   FROM PRODUCTS_TBL   WHERE COST BETWEEN 5.95 AND 14.5;  graphics/output_icon.gif PROD_ID    PROD_DESC                       COST ---------- ------------------------------ ------ 222        PLASTIC PUMPKIN 18 INCH         7.75 90         LIGHTED LANTERNS               14.5 15         ASSORTED COSTUMES              10 1234       KEY CHAIN                       5.95 4 rows selected. 

Notice that the values 5.95 and 14.5 are included in the output.

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BETWEEN is inclusive and therefore includes the minimum and maximum values in the query results.


IN

The IN operator is used to compare a value to a list of literal values that have been specified. For TRUE to be returned, the compared value must match at least one of the values in the list.

Examples

Meaning

WHERE SALARY IN('20000', '30000', '40000')

The salary must match one of the values 20000, 30000, or 40000

 graphics/input_icon.gif  SELECT *   FROM PRODUCTS_TBL   WHERE PROD_ID IN ('13','9','87','119');  graphics/output_icon.gif PROD_ID    PROD_DESC                       COST ---------- ------------------------------ ------ 119        ASSORTED MASKS                  4.95 87         PLASTIC SPIDERS                 1.05 9          CANDY CORN                      1.35 13         FALSE PARAFFIN TEETH            1.1 4 rows selected. 

Using the IN operator can achieve the same results as using the OR operator and can return the results more quickly.

LIKE

The LIKE operator is used to compare a value to similar values using wildcard operators. There are two wildcards used in conjunction with the LIKE operator:

  • The percent sign (%)

  • The underscore (_)

The percent sign represents zero, one, or multiple characters . The underscore represents a single number or character. The symbols can be used in combinations.

Examples are

WHERE SALARY LIKE '200%'

Finds any values that start with 200

WHERE SALARY LIKE '%200%'

Finds any values that have 200 in any position

WHERE SALARY LIKE '_00%'

Finds any values that have 00 in the second and third positions

WHERE SALARY LIKE '2_%_%'

Finds any values that start with 2 and are at least three characters in length

WHERE SALARY LIKE '%2'

Finds any values that end with 2

WHERE SALARY LIKE '_2%3'

Finds any values that have a 2 in the second position and end with a 3

WHERE SALARY LIKE '2___3'

Finds any values in a five-digit number that start with 2 and end with 3

The following example shows all product descriptions that end with the letter S in uppercase:

 graphics/input_icon.gif  SELECT PROD_DESC   FROM PRODUCTS_TBL   WHERE PROD_DESC LIKE '%S';  graphics/output_icon.gif PROD_DESC ------------------ LIGHTED LANTERNS ASSORTED COSTUMES PLASTIC SPIDERS ASSORTED MASKS 4 rows selected. 

The following example shows all product descriptions whose second character is the letter S in uppercase:

 graphics/input_icon.gif  SELECT PROD_DESC   FROM PRODUCTS_TBL   WHERE PROD_DESC LIKE '_S%';  graphics/output_icon.gif PROD_DESC ------------------ ASSORTED COSTUMES ASSORTED MASKS 2 rows selected. 

EXISTS

The EXISTS operator is used to search for the presence of a row in a specified table that meets certain criteria.

Example

Meaning

WHERE EXISTS (SELECT EMP_ID FROM EMPLOYEE_TBL WHERE EMPLOYEE_ID = '333333333')

Searching to see whether the EMP_ID 3333333333 is in the EMPLOYEE_TBL

The following example is a form of a subquery, which is further discussed during Hour 14, "Using Subqueries to Define Unknown Data."

 graphics/mysql_icon.gif graphics/input_icon.gif  SELECT COST   FROM PRODUCTS_TBL   WHERE EXISTS (SELECT COST   FROM PRODUCTS_TBL   WHERE COST > 100);  graphics/output_icon.gif No rows selected. ---------- 

There were no rows selected because no records existed where the cost was greater than 100.

Consider the following example:

 graphics/mysql_icon.gif graphics/input_icon.gif  SELECT COST   FROM PRODUCTS_TBL   WHERE EXISTS (SELECT COST   FROM PRODUCTS_TBL   WHERE COST < 100);  graphics/output_icon.gif COST ----------      29.99       7.75        1.1       14.5         10       1.35       1.45       1.05       4.95       5.95      59.99 11 rows selected. 

The cost was displayed for records in the table because records existed where the product cost was less than 100.

UNIQUE

The UNIQUE operator searches every row of a specified table for uniqueness (no duplicates).

Example

Meaning

WHERE UNIQUE (SELECT SALARY FROM EMPLOYEE_TBL WHERE EMPLOYEE_ID = '333333333')

Testing SALARY to see whether there are duplicates

ALL and ANY Operators

The ALL operator is used to compare a value to all values in another value set.

Example

Meaning

WHERE SALARY > ALL SALARY (SELECT FROM EMPLOYEE_TBL WHERE CITY = 'INDIANAPOLIS')

Testing SALARY to see whether it is greater than all salaries of the employees living in Indianapolis

 graphics/mysql_icon.gif graphics/input_icon.gif  SELECT *   FROM PRODUCTS_TBL   WHERE COST > ALL (SELECT COST   FROM PRODUCTS_TBL   WHERE COST < 10);  graphics/output_icon.gif PROD_ID    PROD_DESC                       COST ---------- ------------------------------ ------ 11235      WITCHES COSTUME                29.99 90         LIGHTED LANTERNS               14.5 15         ASSORTED COSTUMES              10 2345       OAK BOOKSHELF                  59.99 4 rows selected. 

In this output, there were five records that had a cost greater than the cost of all records having a cost less than 10.

The ANY operator is used to compare a value to any applicable value in the list according to the condition.

Example

Meaning

WHERE SALARY > ANY (SELECT SALARY FROM EMPLOYEE_TBL WHERE CITY = 'INDIANAPOLIS')

Testing SALARY to see whether it is greater than any of the salaries of employees living in Indianapolis

 graphics/mysql_icon.gif graphics/input_icon.gif  SELECT *   FROM PRODUCTS_TBL   WHERE COST > ANY (SELECT COST   FROM PRODUCTS_TBL   WHERE COST < 10);  graphics/output_icon.gif PROD_ID    PROD_DESC                       COST ---------- ------------------------------ ------ 11235      WITCHES COSTUME                29.99 222        PLASTIC PUMPKIN 18 INCH         7.75 13         FALSE PARAFFIN TEETH            1.1 90         LIGHTED LANTERNS               14.5 15         ASSORTED COSTUMES              10 9          CANDY CORN                      1.35 6          PUMPKIN CANDY                   1.45 119        ASSORTED MASKS                  4.95 1234       KEY CHAIN                       5.95 2345       OAK BOOKSHELF                  59.99 10 rows selected. 

In this output, more records were returned than when using ALL, because the cost only had to be greater than any of the costs that were less than 10. The one record that was not displayed had a cost of 1.05, which was not greater than any of the values less than 10 (which was, in fact, 1.05) .


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Sams Teach Yourself SQL in 24 Hours
Sams Teach Yourself SQL in 24 Hours (5th Edition) (Sams Teach Yourself -- Hours)
ISBN: 0672335417
EAN: 2147483647
Year: 2002
Pages: 275

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