SQL OVER and PARTITION BY

OVER

OVER allows you to get aggregate information without using a GROUP BY. In other words, you can retrieve detail rows, and get aggregate data alongside it. For example, this query:

SELECT SUM(Cost) OVER () AS Cost
, OrderNum
FROM Orders

Will return something like this:

Cost  OrderNum
10.00 345
10.00 346
10.00 347
10.00 348

Quick translation:

• SUM(cost) – get me the sum of the COST column
• OVER – for the set of rows….
• () – …that encompasses the entire result set.

OVER(PARTITION BY)

OVER, as used in our previous example, exposes the entire resultset to the aggregation…”Cost” was the sum of all [Cost]  in the resultset.  We can break up that resultset into partitions with the use of PARTITION BY:

SELECT SUM(Cost) OVER (PARTITION BY CustomerNo) AS Cost
, OrderNum
, CustomerNo
FROM Orders

My partition is by CustomerNo – each “window” of a single customer’s orders will be treated separately from each other “window”….I’ll get the sum of cost for Customer 1, and then the sum for Customer 2:

Cost  OrderNum   CustomerNo
 8.00 345        1
 8.00 346        1
 8.00 347        1
 2.00 348        2

The translation here is:

• SUM(cost) – get me the sum of the COST column
• OVER – for the set of rows….
• (PARTITION BY CustomerNo) – …that have the same CustomerNo.