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Consider the EMPLOYEES table There are 107 rows in this table Groups may be created based on the common values that rows share For example, the rows that share the same DEPARTMENT_ID value may be clustered together Thereafter, group functions are executed separately against each unique group Figure 11-1 shows 12 distinct DEPARTMENT_ID values in the EMPLOYEES table, including a null value The rows are distributed into 12 groups based on common DEPARTMENT_ID values The COUNT function executes 12 times, once for each group Notice that the distinct groups do not contain the same number of rows

Figure 11-1

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TIP Group functions aggregate a number of values from multiple rows into a single result They are widely used for reporting purposes, providing sum totals, averages, and counts They are also known as summary or aggregate functions

AVG, SUM, MIN, MAX, and COUNT demonstrate the practical application of group functions These group functions all return numeric results Additionally, the MIN and MAX functions may return character and date results These functions operate on non-null values, but unlike the others, the COUNT function call also counts rows with null values under certain conditions

COUNT({*|[DISTINCT|ALL] expr}) ;

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This syntax may be deconstructed into the following forms: 1 COUNT(*) 2 COUNT(DISTINCT expr) 3 COUNT(ALL expr) 4 COUNT(expr) When COUNT(*) is invoked, all rows in the group, including those with nulls or duplicate values, are counted When COUNT(DISTINCT expr) is executed, only unique occurrences of expr are counted for each group The ALL keyword is part of the default syntax, so COUNT(ALL expr) and COUNT(expr) are equivalent If expr is based on named columns, then nulls are ignored, but if expr is based on anything else, it will be evaluated for every row, whether there are null values in the row or not The data type of expr may be NUMBER, DATE, CHAR, or VARCHAR2 Consider these queries: Query 1: select Query 2: select Query 3: select Query 4: select employees; count(*) from employees; count(commission_pct), count(1) from employees; count(distinct commission_pct) from employees; count(hire_date), count(manager_id) from

Query 1 counts the rows in the EMPLOYEES table and returns the integer 107 Query 2 counts the rows with non-null COMMISSION_PCT values and returns 35 It also counts the literal expression 1, which is not based on a named column and is therefore evaluated for every row, returning 107 Query 3 considers the 35 non-null rows, determines the number of unique values, and returns 7 Query 4 demonstrates how the COUNT function is used on both a DATE column and a NUMBER column The integers 107 and 106 are returned, since there are 107 non-null HIRE_DATE values and 106 non-null MANAGER_ID values in the group

The SUM function returns the aggregated total of the non-null numeric values in a group It has this syntax:

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SUM([DISTINCT|ALL] expr) ;

This syntax may be deconstructed into the following forms: 1 SUM(DISTINCT expr) 2 SUM(ALL expr) 3 SUM(expr)

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