COUNT_IF (оконная)
Функция COUNT_IF также доступна в следующих категориях: Агрегатные функции.
Синтаксис
Стандартный
Расширенный
COUNT_IF( expression, condition
TOTAL | WITHIN ... | AMONG ...
[ BEFORE FILTER BY ... ]
)
Подробнее:
Описание
Возвращает количество элементов в заданном окне, которые удовлетворяют условию expression.
Типы аргументов:
expression—Дробное число | Целое числоcondition—Логический
Возвращаемый тип: Совпадает с типом аргументов (expression)
Пример
Исходные данные
| 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 |
Группировка по [Date], [Category].
Сортировка по [Date], [Category].
Формулы:
- Date:
[Date]; - Category:
[Category]; - Profit:
SUM([Profit]); - COUNT_IF TOTAL:
COUNT_IF(SUM([Profit]), [Category] = 'Furniture' TOTAL); - COUNT_IF WITHIN:
COUNT_IF(SUM([Profit]), [Category] = 'Furniture' WITHIN [Date]); - COUNT_IF AMONG:
COUNT_IF(SUM([Profit]), [Category] = 'Furniture' AMONG [Date]).
Результат
| Date | Category | Profit | COUNT_IF TOTAL | COUNT_IF WITHIN | COUNT_IF AMONG |
|---|---|---|---|---|---|
'2019-03-01' |
'Furniture' |
1000.00 |
5.00 |
1.00 |
5.00 |
'2019-03-01' |
'Office Supplies' |
843.80 |
5.00 |
1.00 |
0.00 |
'2019-03-02' |
'Furniture' |
4950.50 |
5.00 |
1.00 |
5.00 |
'2019-03-03' |
'Furniture' |
4000.00 |
5.00 |
1.00 |
5.00 |
'2019-03-03' |
'Office Supplies' |
85.00 |
5.00 |
1.00 |
0.00 |
'2019-03-04' |
'Furniture' |
3500.00 |
5.00 |
1.00 |
5.00 |
'2019-03-04' |
'Office Supplies' |
1300.00 |
5.00 |
1.00 |
0.00 |
'2019-03-05' |
'Furniture' |
750.00 |
5.00 |
1.00 |
5.00 |
Поддержка источников данных
ClickHouse 21.8, Microsoft SQL Server 2017 (14.0), MySQL 5.7, Oracle Database 12c (12.1), PostgreSQL 9.3.