Count records per hour within a time span - sql

Question

I have a table with a userID, a startDate and an endDate.
I would like to count hour by hour the number of userID concerned.
For example, the user '4242' with startDate = '21/05/2014 01:15:00' and with endDate = '21/05/2014 05:22:00' should be counted once from 01 to 02, once from 02 to 03, once from 03 to 04, ...
It would give a result like that:
DATE AND TIME COUNT
-------------------------------------
20140930 18-19 198
20140930 19-20 220
20140930 20-21 236
20140930 21-22 257
20140930 22-23 257
20140930 23-00 257
20141001 00-01 259
20141001 01-02 259
20141001 02-03 258
20141001 03-04 259
20141001 04-05 258
20141001 05-06 258
How would you do that ?
Well, I tried a lot of things. Here's my latest attempt. If the code is too messy, don't even bother reading it, just tell me how you would handle this problem ;) Thanks !
WITH timespan AS (
SELECT lpad(rownum - 1,2,'00') ||'-'|| lpad(mod(rownum,24),2,'00') AS hours
FROM dual
connect BY level <= 24
),
UserID_min_max AS (
SELECT USERS.UserID,
min(USERS.date_startUT) AS min_date,
max(USERS.date_end) AS max_date,
code_etat
FROM USERS
WHERE (
(USERS.date_startUT >= to_date('01/10/2014 00:00:00','dd/MM/YYYY HH24:mi:ss')
AND USERS.date_end <= to_date('08/10/2014 23:59:00','dd/MM/YYYY HH24:mi:ss'))
OR ( USERS.date_startUT <= to_date('01/10/2014 00:00:00','dd/MM/YYYY HH24:mi:ss')
AND USERS.date_end >= to_date('01/10/2014 00:00:00','dd/MM/YYYY HH24:mi:ss')
AND USERS.date_end <= to_date('08/10/2014 23:59:00','dd/MM/YYYY HH24:mi:ss'))
OR (USERS.date_startUT BETWEEN to_date('01/10/2014 00:00:00','dd/MM/YYYY HH24:mi:ss') AND to_date('08/10/2014 23:59:00','dd/MM/YYYY HH24:mi:ss')))
GROUP BY USERS.UserID, code_etat
),
hours_list AS (
SELECT UserID, min_date, max_date, code_etat
, to_char(min_date + row_number() over (partition BY UserID ORDER BY 1)-1,'yyyymmdd') AS days
, to_char(min_date,'yyyymmdd') AS date_start
, to_char(min_date, 'hh24') || '-' || lpad(to_number(to_char(min_date, 'hh24')) + 1, 2, '00') AS timespan_date_start
, to_char(max_date,'yyyymmdd') AS date_end
, to_char(max_date, 'hh24') || '-' || lpad(to_number(to_char(max_date, 'hh24')) + 1, 2, '00') AS timespan_date_end
FROM UserID_min_max cmm
connect BY level <= trunc(max_date) - trunc(min_date)+1
AND PRIOR UserID = UserID
AND prior sys_guid() IS NOT NULL
),
all_timespan_hours_list AS (
SELECT lj.*, t.*, lj.days ||' '|| t.hours AS days_hours
FROM hours_list lj
JOIN timespan t
ON lj.days || t.hours >= lj.date_start || lj.timespan_date_start
AND lj.days || t.hours <= lj.date_end || lj.timespan_date_end
)
SELECT DISTINCT days_hours, COUNT(*)
FROM (
SELECT *
FROM all_timespan_hours_list ttlj
WHERE CODE_ETAT IN ('SOH','SOL')
)
GROUP BY days_hours
ORDER BY days_hours;

Answer 1

Here's how I would do something similar:
with dt_tab as (select trunc(:p_start_date, 'hh') + (level - 1)/24 hr
from dual
connect by level <= (trunc(:p_end_date, 'hh') - trunc(:p_start_date, 'hh'))*24 + 1),
sample_data as (select 4242 usr, to_date('21/05/2015 01:15:00', 'dd/mm/yyyy hh24:mi:ss') start_date, to_date('21/05/2015 05:22:00', 'dd/mm/yyyy hh24:mi:ss') end_date from dual union all
select 4243 usr, to_date('20/05/2015 18:32:42', 'dd/mm/yyyy hh24:mi:ss') start_date, to_date('21/05/2015 01:36:56', 'dd/mm/yyyy hh24:mi:ss') end_date from dual union all
select 4244 usr, to_date('21/05/2015 07:00:00', 'dd/mm/yyyy hh24:mi:ss') start_date, null end_date from dual)
select to_char(dt.hr, 'dd/mm/yyyy hh24-')||to_char(dt.hr + 1/24, 'hh24') date_and_time,
count(sd.usr) cnt
from dt_tab dt
left outer join sample_data sd on (dt.hr < nvl(sd.end_date, :p_end_date) and dt.hr >= sd.start_date)
group by to_char(dt.hr, 'dd/mm/yyyy hh24-')||to_char(dt.hr + 1/24, 'hh24')
order by date_and_time;
:p_start_date := 20/05/2015 08:00:00
:p_end_date := 21/05/2015 08:00:00
DATE_AND_TIME CNT
---------------- ---
20/05/2015 08-09 0
20/05/2015 09-10 0
20/05/2015 10-11 0
20/05/2015 11-12 0
20/05/2015 12-13 0
20/05/2015 13-14 0
20/05/2015 14-15 0
20/05/2015 15-16 0
20/05/2015 16-17 0
20/05/2015 17-18 0
20/05/2015 18-19 0
20/05/2015 19-20 1
20/05/2015 20-21 1
20/05/2015 21-22 1
20/05/2015 22-23 1
20/05/2015 23-00 1
21/05/2015 00-01 1
21/05/2015 01-02 1
21/05/2015 02-03 1
21/05/2015 03-04 1
21/05/2015 04-05 1
21/05/2015 05-06 1
21/05/2015 06-07 0
21/05/2015 07-08 1
21/05/2015 08-09 0
(depending on how your time period start and end dates are configured, you might want to change from using bind variables - eg. use the min/max dates in your table, etc)
The above works when I run it in Toad. For something that works in SQL*Plus, or when you run it as a script (e.g. in Toad), the below should work:
variable p_start_date varchar2(20)
variable p_end_date varchar2(20)
exec :p_start_date := '20/05/2015 08:00:00';
exec :p_end_date := '21/05/2015 08:00:00';
with dt_tab as (select trunc(to_date(:p_start_date, 'dd/mm/yyyy hh24:mi:ss'), 'hh') + (level - 1)/24 hr
from dual
connect by level <= (trunc(to_date(:p_end_date, 'dd/mm/yyyy hh24:mi:ss'), 'hh') - trunc(to_date(:p_start_date, 'dd/mm/yyyy hh24:mi:ss'), 'hh'))*24 + 1),
sample_data as (select 4242 usr, to_date('21/05/2015 01:15:00', 'dd/mm/yyyy hh24:mi:ss') start_date, to_date('21/05/2015 05:22:00', 'dd/mm/yyyy hh24:mi:ss') end_date from dual union all
select 4243 usr, to_date('20/05/2015 18:32:42', 'dd/mm/yyyy hh24:mi:ss') start_date, to_date('21/05/2015 01:36:56', 'dd/mm/yyyy hh24:mi:ss') end_date from dual union all
select 4244 usr, to_date('21/05/2015 07:00:00', 'dd/mm/yyyy hh24:mi:ss') start_date, null end_date from dual)
select to_char(dt.hr, 'dd/mm/yyyy hh24-')||to_char(dt.hr + 1/24, 'hh24') date_and_time,
count(sd.usr) cnt
from dt_tab dt
left outer join sample_data sd on (dt.hr < nvl(sd.end_date, to_date(:p_end_date, 'dd/mm/yyyy hh24:mi:ss')) and dt.hr >= sd.start_date)
group by to_char(dt.hr, 'dd/mm/yyyy hh24-')||to_char(dt.hr + 1/24, 'hh24')
order by date_and_time;

Answer 2

Try to use the function TRUNC(date,[fmt]) like this:
select trunc(some_date, 'HH24')
from some_table
group by trunc(some_date, 'HH24');

Answer 3

Try this:
SELECT
DATE_FORMAT(your_datetime_column, '%Y%m%d %H') AS `hourly`,
COUNT(*) AS `count`
FROM your_table
GROUP BY DATE_FORMAT(your_datetime_column, '%Y%m%d %H')