On Sun, Oct 1, 2017 at 2:17 AM, Khalil Khamlichi
<khamlichi.khalil@gmail.com> wrote:
> Hi everyone,
>
> I have a data stream of a call center application coming in to postgres in
> this format :
>
> user_name, user_status, event_time
>
> 'user1', 'ready', '2017-01-01 10:00:00'
> 'user1', 'talking', '2017-01-01 10:02:00'
> 'user1', 'after_call', '2017-01-01 10:07:00'
> 'user1', 'ready', '2017-01-01 10:08:00'
> 'user1', 'talking', '2017-01-01 10:10:00'
> 'user1', 'after_call', '2017-01-01 10:15:00'
> 'user1', 'paused', '2017-01-01 10:20:00'
> ...
> ...
>
> so as you see each new insert of an "event" is in fact the start_time of
> that event and also the end_time of the previous one so should be used to
> calculate the duration of this previous one.
>
> What is the best way to get user_status statistics like total duration,
> frequency, avg ...etc , does any body have an experience with this sort of
> data streams ?
Have you looked at temporal_tables extension? It seems custom made for
what you're trying to do.
http://clarkdave.net/2015/02/historical-records-with-postgresql-and-temporal-tables-and-sql-2011/
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