From: | Enrico Sirola <enrico(dot)sirola(at)gmail(dot)com> |
---|---|
To: | Willem Buitendyk <willem(at)pcfish(dot)ca> |
Cc: | pgsql-general(at)postgresql(dot)org |
Subject: | Re: Oracle Analytical Functions |
Date: | 2008-01-31 13:49:44 |
Message-ID: | 1FDFCC02-159B-4B44-B16A-80672DC39FAC@gmail.com |
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Thread: | |
Lists: | pgsql-general |
Hi Willem,
Il giorno 30/gen/08, alle ore 22:15, Willem Buitendyk ha scritto:
> I'm trying to replicate the use of Oracle's 'lag' and 'over
> partition by' analytical functions in my query. I have a table
> (all_client_times) such as:
>
> client_id, datetime
> 122, 2007-05-01 12:00:00
> 122, 2007-05-01 12:01:00
> 455, 2007-05-01 12:02:00
> 455, 2007-05-01 12:03:00
> 455, 2007-05-01 12:08:00
> 299, 2007-05-01 12:10:00
> 299, 2007-05-01 12:34:00
>
> and I would like to create a new view that takes the first table and
> calculates the time difference in minutes between each row so that
> the result is something like:
>
> client_id,datetime, previousTime, difftime
> 122,2007-05-01 12:01:00, 2007-05-01 12:00:00, 1
> 455,2007-05-01 12:03:00, 2007-05-01 12:02:00, 1
> 455,2007-05-01 12:08:00, 2007-05-01 12:03:00, 5
> 299,2007-05-01 12:34:00, 2007-05-01 12:10:00, 24
I'd create a "previousTime" column and manage it using a trigger.
Anyway, it depends on the time-dependancy of the table
Then you can perform "temporal" in a much easier way.
You could be interested in taking a look at the following link
http://www.cs.arizona.edu/~rts/tdbbook.pdf
Cheers,
e.
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