From: | Khalil Khamlichi <khamlichi(dot)khalil(at)gmail(dot)com> |
---|---|
To: | "Joshua D(dot) Drake" <jd(at)commandprompt(dot)com> |
Cc: | pgsql-general(at)postgresql(dot)org |
Subject: | Re: time series data |
Date: | 2017-10-14 14:25:46 |
Message-ID: | CAEK98WZHQo_Br525g9=wC08g03136jdw8T0WwBWhXWGGOcnG9A@mail.gmail.com |
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Thread: | |
Lists: | pgsql-general |
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(at)commandprompt(dot)com> 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.
>>
>
>
> --
> Command Prompt, Inc. http://the.postgres.company/
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