Aggregate functions display summaries of the values in specified columns. You can also use the GROUP BY clause, HAVING clause, and ORDER BY clause to group and sort the results of queries using aggregate functions, and the UNION operator to combine the results of queries.
You can apply aggregate functions to all the rows in a table, to a subset of the table specified by a WHERE clause, or to one or more groups of rows in the table. From each set of rows to which an aggregate function is applied, SQL Anywhere generates a single value.
The following are some of the supported aggregate functions:
avg( expression ) The mean of the supplied expression over the returned rows.
count( expression ) The number of rows in the supplied group where the expression is not NULL.
count( * ) The number of rows in each group.
list( string-expr ) A string containing a comma-separated list composed of all the values for string-expr in each group of rows.
max( expression ) The maximum value of the expression, over the returned rows.
min( expression ) The minimum value of the expression, over the returned rows.
stddev( expression ) The standard deviation of the expression, over the returned rows.
sum( expression ) The sum of the expression, over the returned rows.
variance( expression ) The variance of the expression, over the returned rows.
For a complete list of aggregate functions, see Aggregate functions.
You can use the optional keyword DISTINCT with AVG, SUM, LIST, and COUNT to eliminate duplicate values before the aggregate function is applied.
The expression to which the syntax statement refers is usually a column name. It can also be a more general expression.
For example, with this statement you can find what the average price of all products would be if one dollar were added to each price:
SELECT AVG ( UnitPrice + 1 ) FROM Products;
The following query calculates the total payroll from the annual salaries in the Employees table:
SELECT SUM( Salary ) FROM Employees;
To use aggregate functions, you must give the function name followed by an expression on whose values it will operate. The expression, which is the Salary column in this example, is the function's argument and must be specified inside parentheses.
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