LAST (window)
Syntax
Standard
Extended
LAST( value )
LAST( value
[ TOTAL | WITHIN ... | AMONG ... ]
[ ORDER BY ... ]
[ BEFORE FILTER BY ... ]
)
More info:
Description
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 value of value from the last row in the window. See also FIRST.
Argument types:
value—Any
Return type: Same type as (value)
Examples
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].
Result
| [City] | [Category] | SUM([Orders]) | LAST(SUM([Orders]) TOTAL) | LAST(SUM([Orders]) WITHIN [City]) | LAST(SUM([Orders]) AMONG [City]) |
|---|---|---|---|---|---|
'Detroit' |
'Furniture' |
7 |
23 |
25 |
5 |
'Detroit' |
'Office Supplies' |
25 |
23 |
25 |
10 |
'London' |
'Furniture' |
1 |
23 |
10 |
5 |
'London' |
'Office Supplies' |
10 |
23 |
10 |
10 |
'Moscow' |
'Furniture' |
2 |
23 |
4 |
5 |
'Moscow' |
'Office Supplies' |
4 |
23 |
4 |
10 |
'San Francisco' |
'Furniture' |
5 |
23 |
23 |
5 |
'San Francisco' |
'Office Supplies' |
23 |
23 |
23 |
10 |
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].
Result
| [City] | SUM([Orders]) | LAST(SUM([Orders]) ORDER BY [City] DESC) | LAST(SUM([Orders]) ORDER BY [Order Sum]) |
|---|---|---|---|
'Detroit' |
32 |
32 |
32 |
'London' |
11 |
32 |
32 |
'Moscow' |
6 |
32 |
32 |
'San Francisco' |
28 |
32 |
32 |
Data source support
ClickHouse 19.13, Microsoft SQL Server 2017 (14.0), MySQL 5.6, PostgreSQL 9.3.