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.