On Sun, Oct 1, 2017 at 4:17 AM, Khalil Khamlichi <khamlichi.khalil@xxxxxxxxx> 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 ?Thanks in advance.
Just a suggestion, but here is what I would do.
First, create your tables similar to as follows
CREATE TABLE status
(
call_status varchar(10) NOT NULL,
CONSTRAINT status_pk PRIMARY KEY (call_status)
);
INSERT INTO status
(call_status)
VALUES
('ready'),
('talking'),
('after_call');
CREATE TABLE user_sessions
(
username name NOT NULL,
session_id bigint NOT NULL,
call_status varchar(10) NOT NULL,
call_time timestamp NOT NULL,
CONSTRAINT user_sessions_pk PRIMARY KEY (username, session_id,call_status),
CONSTRAINT user_sessions_fk_status FOREIGN KEY (call_status)
REFERENCES status(call_status)
);
Next, you will need to generate a unique session_id for each
user, but only for when call_status is 'ready'. So probably
a table of the form:
CREATE TABLE current_session
(
username name NOT NULL,
session_id serial NOT NULL,
CONSTRAINT current_session_pk PRIMARY KEY (username)
);
Then all you need to do is:
1. Update current_session and get the new session_id each time a user connects (call_status = 'ready'.
Probably best to use a BEFORE trigger to do this, but you will need to code it yourself.
2. You can then do
SELECT username,
age ( (SELECT call_time FROM current_session WHERE call_status = 'talking'),
( SELECT call_time FROM current_session WHERE call_status = 'after_call')
) as duration
FROM user_sessions
WHERE username = 'actual_user_name'
AND session_id = actual_session_id;
SELECT username,
age ( (SELECT call_time FROM current_session WHERE call_status = 'talking'),
( SELECT call_time FROM current_session WHERE call_status = 'after_call')
) as duration
FROM user_sessions
WHERE username = 'actual_user_name'
AND session_id = actual_session_id;
You can use similar queries for avg and frequency.
--
--
Melvin Davidson
I reserve the right to fantasize. Whether or not you
wish to share my fantasy is entirely up to you.
I reserve the right to fantasize. Whether or not you
wish to share my fantasy is entirely up to you.