Dear all,
I have a table that records User Login Sessions with two timestamp fields.
Basically Start of Session and End of a Session (start_ts and end_ts). Each row
in the table identifies a session which a customer has used.
Data from the table (session):
-----------------------------
customer_id | log_session_id | start_ts | end_ts
-------------+-----------------+----------------------------+----------------------------
1006100716 | 209571229340224 | 15/12/2008 16:53:52.665327 | 15/12/2008
16:58:52.665327
1006100789 | 112061228488202 | 05/12/2008 20:13:32.773065 | 09/12/2008
22:59:02.770218
1006100888 | 214221233045949 | 27/01/2009 14:15:16.289626 | 27/01/2009
14:58:59.989182
1006000008 | 205221236839534 | 12/03/2009 12:02:15.947509 | 12/03/2009
12:07:15.947509
1006100825 | 112331229068049 | 12/12/2008 13:17:37.229249 | 12/12/2008
13:56:58.394577
The requirement is as follows,
I have to find out how many User Sessions that were present in any given "1
HOUR TIME PERIOD". A single User Session can span across many days.
Example:
start_ts | end_ts
05/12/2008 20:13:32.773065 | 09/12/2008 22:59:02.770218
-----------------------------------------------------------------------------------------------------
Let me explain a scenario,
I have to find out the number of sessions during the interval '07/01/2009
11:00:00' to '07/01/2009 11:59:59'.
If I have to find the number of sessions present at any instant time say
'07/01/2009 11:25:25', i can easily find out using the following Query,
select count(log_session_id) from session where '07/01/2009 11:25:25' between
start_ts and end_ts ;
But, I have to find the number of sessions present during the "HOUR INTERVAL"
'07/01/2009 11:00:00' to '07/01/2009 11:59:59'.
I tried using wildcards in timestamp '07/01/2009 11:%:%" but in vain. I tries
googling / searching archives without any success either.
I feel this is a general requirement and this topic should have already been
discussed.
Could someone help me solve this please ? Any lead would do, like some special
postgres-function or any other means.
Many Thanks,
../rssrik
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