Description of the illustration cume_dist_aggregate.gif

Description of the illustration cume_dist_analytic.gif

See Also:

"Analytic Functions" for information on syntax, semantics, and restrictions`CUME_DIST`

calculates the cumulative distribution of a value in a group of values. The range of values returned by `CUME_DIST`

is >0 to <=1. Tie values always evaluate to the same cumulative distribution value.

This function takes as arguments any numeric data type or any nonnumeric data type that can be implicitly converted to a numeric data type. Oracle Database determines the argument with the highest numeric precedence, implicitly converts the remaining arguments to that data type, makes the calculation, and returns `NUMBER`

.

See Also:

Table 3-10, "Implicit Type Conversion Matrix" for more information on implicit conversion and "Numeric Precedence" for information on numeric precedence-
As an aggregate function,

`CUME_DIST`

calculates, for a hypothetical row`r`

identified by the arguments of the function and a corresponding sort specification, the relative position of row`r`

among the rows in the aggregation group. Oracle makes this calculation as if the hypothetical row`r`

were inserted into the group of rows to be aggregated over. The arguments of the function identify a single hypothetical row within each aggregate group. Therefore, they must all evaluate to constant expressions within each aggregate group. The constant argument expressions and the expressions in the`ORDER`

`BY`

clause of the aggregate match by position. Therefore, the number of arguments must be the same and their types must be compatible. -
As an analytic function,

`CUME_DIST`

computes the relative position of a specified value in a group of values. For a row`r`

, assuming ascending ordering, the`CUME_DIST`

of`r`

is the number of rows with values lower than or equal to the value of`r`

, divided by the number of rows being evaluated (the entire query result set or a partition).

The following example calculates the cumulative distribution of a hypothetical employee with a salary of $15,500 and commission rate of 5% among the employees in the sample table `oe.employees`

:

SELECT CUME_DIST(15500, .05) WITHIN GROUP (ORDER BY salary, commission_pct) "Cume-Dist of 15500" FROM employees; Cume-Dist of 15500 ------------------ .972222222

The following example calculates the salary percentile for each employee in the purchasing division. For example, 40% of clerks have salaries less than or equal to Himuro.

SELECT job_id, last_name, salary, CUME_DIST() OVER (PARTITION BY job_id ORDER BY salary) AS cume_dist FROM employees WHERE job_id LIKE 'PU%' ORDER BY job_id, last_name, salary, cume_dist; JOB_ID LAST_NAME SALARY CUME_DIST ---------- ------------------------- ---------- ---------- PU_CLERK Baida 2900 .8 PU_CLERK Colmenares 2500 .2 PU_CLERK Himuro 2600 .4 PU_CLERK Khoo 3100 1 PU_CLERK Tobias 2800 .6 PU_MAN Raphaely 11000 1