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

COUNT (window)

Written by
Yandex Cloud
Updated at November 6, 2024

Function COUNT is also found in the following categories: Aggregate functions.

SyntaxSyntax

Standard
Extended
COUNT(  [ value ]
       TOTAL | WITHIN ... | AMONG ...
     )

More info:

  • TOTAL, WITHIN, AMONG
COUNT(  [ value ]
       TOTAL | WITHIN ... | AMONG ...
       [ BEFORE FILTER BY ... ]
     )

More info:

  • TOTAL, WITHIN, AMONG
  • BEFORE FILTER BY

DescriptionDescription

Returns the number of items in the specified window.

Argument types:

  • value — Any

Return type: Integer

ExampleExample

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]) ;
  • COUNT TOTAL: COUNT(SUM([Orders]) TOTAL) ;
  • COUNT WITHIN: COUNT(SUM([Orders]) WITHIN [City]) ;
  • COUNT AMONG: COUNT(SUM([Orders]) AMONG [City]) .

Result

City Category Order Sum COUNT TOTAL COUNT WITHIN COUNT AMONG
'Detroit' 'Furniture' 7 8 2 4
'Detroit' 'Office Supplies' 25 8 2 4
'London' 'Furniture' 1 8 2 4
'London' 'Office Supplies' 10 8 2 4
'Moscow' 'Furniture' 2 8 2 4
'Moscow' 'Office Supplies' 4 8 2 4
'San Francisco' 'Furniture' 5 8 2 4
'San Francisco' 'Office Supplies' 23 8 2 4

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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