Re: [QUESTION] Window function with partition by and order by - Mailing list pgsql-sql

From Ankit Kumar Pandey
Subject Re: [QUESTION] Window function with partition by and order by
Date
Msg-id 2e8fb31d-b09f-f195-b810-6e6683c656cc@gmail.com
Whole thread Raw
In response to Re: [QUESTION] Window function with partition by and order by  (Samed YILDIRIM <samed@reddoc.net>)
List pgsql-sql


On 27/11/22 21:53, Samed YILDIRIM wrote:
Hello Ankit,

It is absolutely expected behaviour of a window function with ORDER BY clause. The default frame clause of window definition is RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW. If you add an ORDER BY clause in a window definition, PostgreSQL takes the current row and all rows before it within the partition into calculation. If you don't add, it means all rows within the partition are peers, and PostgreSQL uses all rows for calculation. I'm putting the related part from the documentation and its link below.

The default framing option is RANGE UNBOUNDED PRECEDING, which is the same as RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW; it sets the frame to be all rows from the partition start up through the current row's last peer (a row that the window's ORDER BY clause considers equivalent to the current row; all rows are peers if there is no ORDER BY).
 

Best regards.
Samed YILDIRIM


On Sun, 27 Nov 2022 at 18:08, Ankit Kumar Pandey <itsankitkp@gmail.com> wrote:
Hello,

While looking at aggregates in window function, I found something
unusual and would be glad I could get some clarification.

Consider following table (mytable):

id, name

1, A

1, A

2, B

3, A

1, A


select *, avg(id) over (partition by name, order by id) from mytable;

Output:

id, name, avg

1, A, 1

1, A, 1

1, A, 1

3, A, 1.5

2, B, 2


Question is: Average of id for partition name (A) should be 6/4 = 1.5
for all rows in that partition but this result is seen only at the last
one row in partition (A). Am I missing here something?


Thanks


--
Regards,
Ankit Kumar Pandey


Okay, I understand this now.

-- 
Regards,
Ankit Kumar Pandey

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