Thanks, I'll check it out.
Sent via mobile, please forgive typos and brevity
On Oct 14, 2017 3:23 PM, "Joshua D. Drake" <jd@xxxxxxxxxxxxxxxxx> wrote:
On 10/01/2017 01:17 AM, Khalil Khamlichi wrote:
Hi everyone,
Take a look at TimescaleDB they have an extension to Postgres that makes this awesome (and yes its free and open source).
jD
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 ?
Thanks in advance.
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