Skip Headers
Oracle® Database SQL Reference
10g Release 2 (10.2)

Part Number B14200-02
Go to Documentation Home
Home
Go to Book List
Book List
Go to Table of Contents
Contents
Go to Index
Index
Go to Master Index
Master Index
Go to Feedback page
Feedback

Go to previous page
Previous
Go to next page
Next
View PDF

CUME_DIST

Aggregate Syntax

cume_dist_aggregate::=

Description of cume_dist_aggregate.gif follows
Description of the illustration cume_dist_aggregate.gif

Analytic Syntax

cume_dist_analytic::=

Description of cume_dist_analytic.gif follows
Description of the illustration cume_dist_analytic.gif


See Also:

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

Purpose

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 datatype or any nonnumeric datatype that can be implicitly converted to a numeric datatype. Oracle Database determines the argument with the highest numeric precedence, implicitly converts the remaining arguments to that datatype, makes the calculation, and returns NUMBER.


See Also:

Table 2-10, "Implicit Type Conversion Matrix" for more information on implicit conversion and "Numeric Precedence" for information on numeric precedence

Aggregate Example

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

Analytic Example

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%';

JOB_ID     LAST_NAME                     SALARY  CUME_DIST
---------- ------------------------- ---------- ----------
PU_CLERK   Colmenares                      2500         .2
PU_CLERK   Himuro                          2600         .4
PU_CLERK   Tobias                          2800         .6
PU_CLERK   Baida                           2900         .8
PU_CLERK   Khoo                            3100          1
PU_MAN     Raphaely                       11000          1