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  1. Calculated fields
  2. Function reference
  3. Window functions
  4. RMAX

RMAX (window)

Written by
Yandex Cloud
Improved by
amatol
Updated at November 6, 2024

SyntaxSyntax

Standard
Extended
RMAX( value [ , direction ] )
RMAX( value [ , direction ]
      [ TOTAL | WITHIN ... | AMONG ... ]
      [ ORDER BY ... ]
      [ BEFORE FILTER BY ... ]
    )

More info:

  • TOTAL, WITHIN, AMONG
  • ORDER BY
  • BEFORE FILTER BY

DescriptionDescription

Warning

The sorting order is based on the fields listed in the sorting section of the chart and in the ORDER BY clause. First, ORDER BY fields are used, and then they are complemented by the fields from the chart.

Returns the maximum of all values in a growing (or shrinking) window defined by the sort order and the value of direction:

direction Window
"asc" Starts from the first row and ends at the current row.
"desc" Starts from the current row and ends at the last row.

By default "asc" is used.

Window functions with a similar behavior: RSUM, RCOUNT, RMIN, RAVG.

See also MAX, MMAX.

Argument types:

  • value — Boolean | Date | Datetime | Fractional number | Integer | String | UUID
  • direction — String

Return type: Same type as (value)

Note

Only constant values are accepted for the arguments (direction).

ExamplesExamples

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].

Formulas:

  • City: [City] ;
  • Category: [Category] ;
  • Order Sum: SUM([Orders]) ;
  • RMAX TOTAL: RMAX(SUM([Orders]) TOTAL) ;
  • RMAX WITHIN: RMAX(SUM([Orders]) WITHIN [City]) ;
  • RMAX AMONG: RMAX(SUM([Orders]) AMONG [City]) .

Result

City Category Order Sum RMAX TOTAL RMAX WITHIN RMAX AMONG
'Detroit' 'Furniture' 7 7 7 7
'Detroit' 'Office Supplies' 25 25 25 25
'London' 'Furniture' 1 25 1 7
'London' 'Office Supplies' 10 25 10 25
'Moscow' 'Furniture' 2 25 2 7
'Moscow' 'Office Supplies' 4 25 4 25
'San Francisco' 'Furniture' 5 25 5 7
'San Francisco' 'Office Supplies' 23 25 23 25
Example with ORDER BY

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].

Formulas:

  • City: [City] ;
  • Order Sum: SUM([Orders]) ;
  • RMAX 1: RMAX(SUM([Orders]), "desc") ;
  • RMAX 2: RMAX(SUM([Orders]), "asc" ORDER BY [City] DESC) ;
  • RMAX 3: RMAX(SUM([Orders]) ORDER BY [Order Sum]) .

Result

City Order Sum RMAX 1 RMAX 2 RMAX 3
'Detroit' 32 32 32 32
'London' 11 28 28 11
'Moscow' 6 28 28 6
'San Francisco' 28 28 28 28

Data source supportData source support

ClickHouse 21.8, Files, Google Sheets, Microsoft SQL Server 2017 (14.0), MySQL 5.7, Oracle Database 12c (12.1), PostgreSQL 9.3, Yandex Documents.

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