From: | hubert depesz lubaczewski <depesz(at)depesz(dot)com> |
---|---|
To: | Rishi Ranjan <rishiranjan706(at)gmail(dot)com> |
Cc: | pgsql-sql(at)postgresql(dot)org |
Subject: | Re: pgsql-function |
Date: | 2015-04-14 17:39:46 |
Message-ID: | 20150414173946.GA20194@depesz.com |
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Thread: | |
Lists: | pgsql-sql |
On Tue, Apr 14, 2015 at 03:39:38AM -0700, Rishi Ranjan wrote:
> i have data like below and where ap_key is same for two different
> first_occurence column . here i need to write a function which can
> calculate the difference of two timestamp values for a Ap_Key and then with
> difference it should multiply the severity
>
> AAA_key AP_KEY FIRSTOCCURRENCE SEVERITY
> 111 418 3/4/2014 0:00 5
> 111 418 3/4/2014 0:05 0
> 112 12 3/4/2014 0:40 4
> 112 12 3/4/2014 0:45 0
> 113 13 3/4/2014 1:05 3
> 113 13 3/4/2014 1:10 0
> 114 114 3/4/2014 1:30 2
> 114 114 3/4/2014 1:35 0
> 115 35 3/4/2014 2:10 1
> 115 35 3/4/2014 2:15 0
> 116 116 3/4/2014 10:14 4
> 116 116 3/4/2014 10:19 0
> 117 127 3/4/2014 11:45 3
> 117 127 3/4/2014 11:49 0
> 118 118 3/4/2014 12:10 2
> 118 118 3/4/2014 12:14 0
> 119 19 3/4/2014 12:35 1
> 119 19 3/4/2014 12:39 0
> 119 120 3/4/2014 0:00 4
> 119 120 3/4/2014 1:40 0
Given this data, why don't you simply:
select
AAA_key,
AP_KEY,
max(SEVERITY),
max(FIRSTOCCURRENCE) - min(FIRSTOCCURRENCE)
from
table
group by
AAA_key,
AP_KEY;
and then do whatever math you need on severity or FIRSTOCCURRENCE
differences.
depesz
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