SUM (window)
Written by
Updated at November 6, 2024
Function SUM is also found in the following categories: Aggregate functions.
Syntax
Standard
Extended
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:
value—Fractional 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].
Formulas:
- City:
[City]; - Category:
[Category]; - Order Sum:
SUM([Orders]); - SUM TOTAL:
SUM(SUM([Orders]) TOTAL); - SUM WITHIN:
SUM(SUM([Orders]) WITHIN [City]); - SUM AMONG:
SUM(SUM([Orders]) AMONG [City]).
Result
| City | Category | Order Sum | SUM TOTAL | SUM WITHIN | SUM AMONG |
|---|---|---|---|---|---|
'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 21.8, Files, Google Sheets, Microsoft SQL Server 2017 (14.0), MySQL 5.7, Oracle Database 12c (12.1), PostgreSQL 9.3, Yandex Documents.