running sum cursor

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running sum cursor

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Jeff Moden SSC Guru Points: 1004312 More actions · Answer 1

Unfortunately and based on the name of this particular forum, it looks like the OP is still using SQL Server 2005.

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drew.allen SSC Guru Points: 76985 More actions · Answer 2

This thread is SEVEN YEARS OLD, so it's not safe to make any assumptions about what the OP is currently using.

Drew

J. Drew Allen
Business Intelligence Analyst
Philadelphia, PA

Sean Lange SSC Guru Points: 286590 More actions · Answer 3

RocksteadyDev wrote:

T-SQL 2012 has a new built in function to give a running total, so you don't need a cursor for running totals that sum distinct counts. Previously sum and count functions could not be nested. Here is an example.
SELECT date, sum(count(DISTINCT unique_id)) OVER (ORDER BY date) AS total_per_date
FROM dbo.table
GROUP BY date

You still cannot nest aggregate functions. It doesn't make sense to do so. Your example does not work in any version of sql server to date.

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drew.allen SSC Guru Points: 76985 More actions · Answer 4

Sean Lange wrote:

RocksteadyDev wrote:
T-SQL 2012 has a new built in function to give a running total, so you don't need a cursor for running totals that sum distinct counts. Previously sum and count functions could not be nested. Here is an example.
SELECT date, sum(count(DISTINCT unique_id)) OVER (ORDER BY date) AS total_per_date
FROM dbo.table
GROUP BY date
You still cannot nest aggregate functions. It doesn't make sense to do so. Your example does not work in any version of sql server to date.

You can nest an aggregate in a windowed function, which is exactly what is being done here. And it can make sense to do so. For instance, box office sales often report a daily total and a running total.

SELECT sales_dt
,    SUM(sales_amount) AS daily_sales
,    SUM(SUM(sales_amount)) OVER(ORDER BY sales_dt ROWS UNBOUNDED PRECEDING) AS total_sales
FROM
(
VALUES
(1, '2019-09-14', 23567)
,(1, '2019-09-15', 83673)
,(1, '2019-09-16', 36173)
,(2, '2019-09-14', 31564)
,(2, '2019-09-15', 36243)
,(2, '2019-09-16', 61433)
,(3, '2019-09-14', 35644)
,(3, '2019-09-15', 53643)
,(3, '2019-09-16', 66143)
,(4, '2019-09-14', 35764)
,(4, '2019-09-15', 36483)
,(4, '2019-09-16', 61439)
) box_office(theater_id, sales_dt, sales_amount)
GROUP BY sales_dt;