SUM (window)

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

Syntax

SUM( value
     TOTAL | WITHIN ... | AMONG ...
   )

More info:

SUM( value
     TOTAL | WITHIN ... | AMONG ...
     [ BEFORE FILTER BY ... ]
   )

More info:

Description

Returns the sum of all expression values. Applicable to numeric data types only.

Argument types:

  • valueFractional number | Integer

Return type: Same type as (value)

Example

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]) SUM(SUM([Orders]) TOTAL) SUM(SUM([Orders]) WITHIN [City]) SUM(SUM([Orders]) AMONG [City])
'Detroit' 'Furniture' 7 77 32 15
'Detroit' 'Office Supplies' 25 77 32 62
'London' 'Furniture' 1 77 11 15
'London' 'Office Supplies' 10 77 11 62
'Moscow' 'Furniture' 2 77 6 15
'Moscow' 'Office Supplies' 4 77 6 62
'San Francisco' 'Furniture' 5 77 28 15
'San Francisco' 'Office Supplies' 23 77 28 62

Data source support

ClickHouse 19.13, Microsoft SQL Server 2017 (14.0), MySQL 5.6, PostgreSQL 9.3.

Previous
Next