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August 27, 2017 by Joey Blue 1 Comment

Moving Average with Windowing in SQL Server

The Moving Average used to be complex, but with the Windowing Functions, the Moving Average is easier and performs much better.

In this video I show you how to create a moving average in SQL using the OVER Clause and the ROWS Clause.

Video: SQL Moving Average with Windowing


How to use the SQL Over Clause for a Moving Average.

I use the Wide World Importers and the following scripts:

select [Invoice Date Key], sum(Profit) Profit
into dbo.ProfitByDate
from [Fact].[Sale]
group by [Invoice Date Key];

select 
[Invoice Date Key],
avg(Profit) OVER (ORDER BY [Invoice Date Key] ROWS BETWEEN 4 PRECEDING AND CURRENT ROW) as AverageProfit
from dbo.ProfitByDate
order by 1

Link to the Microsoft SQL Server Over Clause.

 

See the original SQL Rolling Average with Windowing video.

Related

Filed Under: SQL Tip Tagged With: datetime, Over Clause, SQL Average, SQL Datetime, SQL INTO, SQL Moving Average, SQL Server, SQL Where

Trackbacks

  1. Prior Day Profit using the Lag Function with Windowing in SQL Server says:
    August 28, 2017 at 6:41 pm

    […] This video builds on the prior day’s video, Moving Average with Windowing. […]

    Reply

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