Re: [GENERAL] time series data
От | Joshua D. Drake |
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Тема | Re: [GENERAL] time series data |
Дата | |
Msg-id | 378a1c45-9b0f-0e26-5fe6-d622d3838279@commandprompt.com обсуждение исходный текст |
Ответ на | [GENERAL] time series data (Khalil Khamlichi <khamlichi.khalil@gmail.com>) |
Ответы |
Re: [GENERAL] time series data
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Список | pgsql-general |
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. -- Sent via pgsql-general mailing list (pgsql-general@postgresql.org) To make changes to your subscription: http://www.postgresql.org/mailpref/pgsql-general
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