Thanks, I'll check it out. Sent via mobile, please forgive typos and brevity
On Oct 14, 2017 3:23 PM, "Joshua D. Drake" <j...@commandprompt.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/ > +1-503-667-4564 > PostgreSQL Centered full stack support, consulting and development. > Everyone appreciates your honesty, until you are honest with them. >
