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Calculates the relative rank (cumulative distribution) of the current row in relation to other rows in the same partition within an ordered data set, as ( rank + number_of_peers - 1 ) / ( total_rows ) where rank is the current row’s rank within the partition, number_of_peers is the number of row values equal to the current row value (including the current row), and total_rows is the total number of rows in the partition. The return value ranges from 1/(total_rows) to 1. See also PERCENT_RANK, which returns the relative rank of the current row within an ordered data set. For more information on usage, please refer to Window Functions.

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Syntax

CUME_DIST() OVER ( [ PARTITION BY <partition_by> ] ORDER BY <order_by> [ASC|DESC] )

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Parameters

ParameterDescriptionSupported input types
<partition_by>The expression used for the PARTITION BY clause.Any
<order_by>The expression used in the ORDER BY clause. This parameter determines what value will be ranked.Any

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Return Type

DOUBLE PRECISION This function respects NULL values, and results will be ordered with default null ordering NULLS LAST unless otherwise specified in the ORDER BY clause.

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Example

The example below returns the cumulative distribution of player IDs for people in North America: 
SELECT
	nickname, playerid,
	CUME_DIST() OVER (PARTITION BY playerid ORDER BY playerid DESC) as cume_dist
FROM
	class_test
WHERE location="North America";
Returns: | nickname | playerid | cume_dist | |:+------------+------------+---------------------+ | kennethpark | 90 | 0.16666666666666666 | | sabrina21 | 85 | 0.3333333333333333 | | rileyjon | 80 | 0.5 | | burchdenise | 79 | 0.6666666666666666 |
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