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FIGURE 8-2 Column functions syntax diagram
To process this query, SQL constructs a temporary column containing the value of the expression (100 * (SALES/QUOTA)) for each row of the SALESREPS table and then computes the averages of the temporary column.
Computing a Column Total (SUM)
The SUM() column function computes the sum of a column of data values. The data in the column must have a numeric type (such as integer, decimal, floating point, or money). The result of the SUM() function has the same basic data type as the data in the column, but the result may have a higher precision. For example, if you apply the SUM() function to a column of 16-bit integers, it may produce a 32-bit integer as its result. Here are some examples that use the SUM() column function: What are the total quotas and sales for all salespeople
SELECT SUM(QUOTA), SUM(SALES) FROM SALESREPS; SUM(QUOTA) SUM(SALES) -------------- -------------$2,700,000.00 $2,893,532.00
Part II:
Retrieving Data
What is the total of the orders taken by Bill Adams
SELECT FROM WHERE AND SUM(AMOUNT) ORDERS, SALESREPS NAME = 'Bill Adams' REP = EMPL_NUM;
SUM(AMOUNT) -----------$39,327.00
Computing a Column Average (AVG)
The AVG() column function computes the average of a column of data values. As with the SUM() function, the data in the column must have a numeric type. Because the AVG() function adds the values in the column and then divides by the number of values, its result may have a different data type than that of the values in the column. For example, if you apply the AVG() function to a column of integers, the result will be either a decimal or a floating point number, depending on the brand of DBMS you are using. Here are some examples of the AVG() column function: Calculate the average price of products from manufacturer ACI.
SELECT AVG(PRICE) FROM PRODUCTS WHERE MFR_ID = 'ACI'; AVG(PRICE) ----------$804.29
Calculate the average size of an order placed by Acme Mfg. (customer number 2103).
SELECT AVG(AMOUNT) FROM ORDERS WHERE CUST = 2103; AVG(AMOUNT) -----------$8,895.50
Finding Extreme Values (MIN and MAX)
The MIN() and MAX() column functions find the smallest and largest values in a column, respectively. The data in the column can contain numeric, string, or date/time information. The result of the MIN() or MAX() function has exactly the same data type as the data in the column. Here are some examples that show the use of these column functions: What are the smallest and largest assigned quotas
SELECT MIN(QUOTA), MAX(QUOTA) FROM SALESREPS ;
8:
Summary Queries
MIN(QUOTA) MAX(QUOTA) ------------ -----------$200,000.00 $350,000.00
What is the earliest order date in the database
SELECT MIN(ORDER_DATE) FROM ORDERS; MIN(ORDER_DATE) ---------------2007-01-04
PART II
What is the best sales performance of any salesperson
SELECT MAX(100 * (SALES/QUOTA)) FROM SALESREPS; MAX(100*(SALES/QUOTA)) ----------------------135.44
When the MIN() and MAX() column functions are applied to numeric data, SQL compares the numbers in algebraic order (large negative numbers are less than small negative numbers, which are less than zero, which is less than all positive numbers). Dates are compared sequentially. (Earlier dates are smaller than later ones.) Durations are compared based on their length. (Shorter durations are smaller than longer ones.) When using MIN() and MAX() with string data, the comparison of two strings depends on the character set being used. On a personal computer or a typical server, both of which use the ASCII character set, digits come before the letters in the sorting sequence, and all of the uppercase characters come before all of the lowercase characters. On mainframes, which use the EBCDIC character set, the lowercase characters precede the uppercase characters, and digits come after the letters. Here is a comparison of the ASCII and EBCDIC collating sequences of a list of strings, from smallest to largest:
ASCII 1234ABC 5678ABC ACME MFG. Acme Mfg. ZETA CORP. Zeta Corp. acme mfg. zeta corp. EBCDIC acme mfg. zeta corp. Acme Mfg. ACME MFG. Zeta Corp. ZETA CORP. 1234ABC 5678ABC
The difference in the collating sequences means that a query with an ORDER BY clause can produce different results on two different systems.
Part II:
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