RANK_PERCENTILE (window)
Syntax
Standard
Extended
RANK_PERCENTILE( value [ , direction ] )RANK_PERCENTILE( value [ , direction ] [ TOTAL | WITHIN ... | AMONG ... ] [ BEFORE FILTER BY ... ] )More info:
Description
Returns the relative rank (from 0 to 1) of the current row if ordered by the given argument. Calculated as (RANK(...) - 1) / (row count) .
If direction is "desc" or omitted, then ranking is done from greatest to least, if "asc", then from least to greatest.
See also RANK, RANK_DENSE, RANK_UNIQUE.
Argument types:
value—Boolean | Date | Datetime | Fractional number | Integer | String | UUIDdirection—String
Return type: Fractional number
Note
Only constant values are accepted for the arguments (direction).
Examples
Example with two arguments
Source data
| Date | City | Category | Orders | Profit |
|---|---|---|---|---|
'2019-03-01' | 'London' | 'Office Supplies' | 8 | 120.80 |
'2019-03-04' | 'London' | 'Office Supplies' | 2 | 100.00 |
'2019-03-05' | 'London' | 'Furniture' | 1 | 750.00 |
'2019-03-02' | 'Moscow' | 'Furniture' | 2 | 1250.50 |
'2019-03-03' | 'Moscow' | 'Office Supplies' | 4 | 85.00 |
'2019-03-01' | 'San Francisco' | 'Office Supplies' | 23 | 723.00 |
'2019-03-01' | 'San Francisco' | 'Furniture' | 1 | 1000.00 |
'2019-03-03' | 'San Francisco' | 'Furniture' | 4 | 4000.00 |
'2019-03-02' | 'Detroit' | 'Furniture' | 5 | 3700.00 |
'2019-03-04' | 'Detroit' | 'Office Supplies' | 25 | 1200.00 |
'2019-03-04' | 'Detroit' | 'Furniture' | 2 | 3500.00 |
Grouped by [City].
Sorted by [City].
Result
| [City] | SUM([Orders]) | RANK_PERCENTILE(SUM([Orders]), "desc") | RANK_PERCENTILE(SUM([Orders]), "asc") |
|---|---|---|---|
'Detroit' | 32 | 0.00 | 1.00 |
'London' | 11 | 0.67 | 0.33 |
'Moscow' | 6 | 1.00 | 0.00 |
'San Francisco' | 28 | 0.33 | 0.67 |
Example with grouping
Source data
| Date | City | Category | Orders | Profit |
|---|---|---|---|---|
'2019-03-01' | 'London' | 'Office Supplies' | 8 | 120.80 |
'2019-03-04' | 'London' | 'Office Supplies' | 2 | 100.00 |
'2019-03-05' | 'London' | 'Furniture' | 1 | 750.00 |
'2019-03-02' | 'Moscow' | 'Furniture' | 2 | 1250.50 |
'2019-03-03' | 'Moscow' | 'Office Supplies' | 4 | 85.00 |
'2019-03-01' | 'San Francisco' | 'Office Supplies' | 23 | 723.00 |
'2019-03-01' | 'San Francisco' | 'Furniture' | 1 | 1000.00 |
'2019-03-03' | 'San Francisco' | 'Furniture' | 4 | 4000.00 |
'2019-03-02' | 'Detroit' | 'Furniture' | 5 | 3700.00 |
'2019-03-04' | 'Detroit' | 'Office Supplies' | 25 | 1200.00 |
'2019-03-04' | 'Detroit' | 'Furniture' | 2 | 3500.00 |
Grouped by [City], [Category].
Sorted by [City], [Category].
Result
| [City] | [Category] | SUM([Orders]) | RANK_PERCENTILE(SUM([Orders]) TOTAL) | RANK_PERCENTILE(SUM([Orders]) WITHIN [City]) | RANK_PERCENTILE(SUM([Orders]) AMONG [City]) |
|---|---|---|---|---|---|
'Detroit' | 'Furniture' | 7 | 0.43 | 1.00 | 0.00 |
'Detroit' | 'Office Supplies' | 25 | 0.00 | 0.00 | 0.00 |
'London' | 'Furniture' | 1 | 1.00 | 1.00 | 1.00 |
'London' | 'Office Supplies' | 10 | 0.29 | 0.00 | 0.67 |
'Moscow' | 'Furniture' | 2 | 0.86 | 1.00 | 0.67 |
'Moscow' | 'Office Supplies' | 4 | 0.71 | 0.00 | 1.00 |
'San Francisco' | 'Furniture' | 5 | 0.57 | 1.00 | 0.33 |
'San Francisco' | 'Office Supplies' | 23 | 0.14 | 0.00 | 0.33 |
Data source support
ClickHouse 21.8, Microsoft SQL Server 2017 (14.0), MySQL 5.7, Oracle Database 12c (12.1), PostgreSQL 9.3.
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