ORACLE - Interval between dates line by line - sql

Good afternoon, tell me, please, how to break the interval between dates line by line.
I have a table:
with data as (
SELECT 1 AS id, 232 AS status, to_date('21.08.2019 10:47:39','dd.mm.yyyy hh24:mi:ss') AS start_dte, to_date('25.08.2019 0:19:37','dd.mm.yyyy hh24:mi:ss') AS end_dte FROM dual
UNION ALL
SELECT 1 AS id, 235 AS status, to_date('25.08.2019 19:11:00','dd.mm.yyyy hh24:mi:ss') AS start_dte, to_date('27.08.2019 0:25:11','dd.mm.yyyy hh24:mi:ss') AS end_dte FROM dual
UNION ALL
SELECT 1 AS id, 233 AS status, to_date('27.08.2019 19:11:00','dd.mm.yyyy hh24:mi:ss') AS start_dte, to_date('31.12.2999 23:59:59','dd.mm.yyyy hh24:mi:ss') AS end_dte FROM dual
UNION ALL
SELECT 2 AS id, 301 AS status, to_date('20.08.2019 10:47:39','dd.mm.yyyy hh24:mi:ss') AS start_dte, to_date('23.08.2019 0:19:37','dd.mm.yyyy hh24:mi:ss') AS end_dte FROM dual
UNION ALL
SELECT 2 AS id, 264 AS status, to_date('23.08.2019 19:11:00','dd.mm.yyyy hh24:mi:ss') AS start_dte, to_date('26.08.2019 0:25:11','dd.mm.yyyy hh24:mi:ss') AS end_dte FROM dual
UNION ALL
SELECT 2 AS id, 259 AS status, to_date('26.08.2019 19:11:00','dd.mm.yyyy hh24:mi:ss') AS start_dte, to_date('31.12.2999 23:59:59','dd.mm.yyyy hh24:mi:ss') AS end_dte FROM dual)
select * from data
I want to get the result:
with result_data as (
SELECT 1 AS id, 232 AS status, to_date('21.08.2019') AS dte FROM dual
UNION ALL
SELECT 1 AS id, 232 AS status, to_date('22.08.2019') AS dte FROM dual
UNION ALL
SELECT 1 AS id, 232 AS status, to_date('23.08.2019') AS dte FROM dual
UNION ALL
SELECT 1 AS id, 232 AS status, to_date('24.08.2019') AS dte FROM dual
UNION ALL
SELECT 1 AS id, 235 AS status, to_date('25.08.2019') AS dte FROM dual
UNION ALL
SELECT 1 AS id, 235 AS status, to_date('26.08.2019') AS dte FROM dual
UNION ALL
SELECT 1 AS id, 233 AS status, to_date('27.08.2019') AS dte FROM dual
UNION ALL
SELECT 1 AS id, 233 AS status, to_date('28.08.2019') AS dte FROM dual
UNION ALL
SELECT 2 AS id, 301 AS status, to_date('20.08.2019') AS dte FROM dual
UNION ALL
SELECT 2 AS id, 301 AS status, to_date('21.08.2019') AS dte FROM dual
UNION ALL
SELECT 2 AS id, 301 AS status, to_date('22.08.2019') AS dte FROM dual
UNION ALL
SELECT 2 AS id, 264 AS status, to_date('23.08.2019') AS dte FROM dual
UNION ALL
SELECT 2 AS id, 264 AS status, to_date('24.08.2019') AS dte FROM dual
UNION ALL
SELECT 2 AS id, 264 AS status, to_date('25.08.2019') AS dte FROM dual
UNION ALL
SELECT 2 AS id, 259 AS status, to_date('26.08.2019') AS dte FROM dual
UNION ALL
SELECT 2 AS id, 259 AS status, to_date('27.08.2019') AS dte FROM dual
UNION ALL
SELECT 2 AS id, 259 AS status, to_date('28.08.2019') AS dte FROM dual)
select * from result_data
I tried to do through this request, but nothing worked for me
SELECT trunc(t.start_dte) + level -1 dte FROM (select * from data
where data.end_dte != to_date('31.12.2999 23:59:59','dd.mm.yyyy hh24:mi:ss')) t
CONNECT BY level < trunc(t.end_dte) - trunc(t.start_dte) + 1
There are a lot of rows in the table, are there any thoughts on how to do this rationally?


I've commented the date ranges that finish in year 2999 on your example for the result to be more clear:
with
maxdays
as
(select max( end_dte-start_dte )+1 days from
(SELECT 1 AS id, 232 AS status, to_date('21.08.2019 10:47:39','dd.mm.yyyy hh24:mi:ss') AS start_dte, to_date('25.08.2019 0:19:37','dd.mm.yyyy hh24:mi:ss') AS end_dte FROM dual
UNION ALL
SELECT 1 AS id, 235 AS status, to_date('25.08.2019 19:11:00','dd.mm.yyyy hh24:mi:ss') AS start_dte, to_date('27.08.2019 0:25:11','dd.mm.yyyy hh24:mi:ss') AS end_dte FROM dual
--UNION ALL
--SELECT 1 AS id, 233 AS status, to_date('27.08.2019 19:11:00','dd.mm.yyyy hh24:mi:ss') AS start_dte, to_date('31.12.2999 23:59:59','dd.mm.yyyy hh24:mi:ss') AS end_dte FROM dual
UNION ALL
SELECT 2 AS id, 301 AS status, to_date('20.08.2019 10:47:39','dd.mm.yyyy hh24:mi:ss') AS start_dte, to_date('23.08.2019 0:19:37','dd.mm.yyyy hh24:mi:ss') AS end_dte FROM dual
UNION ALL
SELECT 2 AS id, 264 AS status, to_date('23.08.2019 19:11:00','dd.mm.yyyy hh24:mi:ss') AS start_dte, to_date('26.08.2019 0:25:11','dd.mm.yyyy hh24:mi:ss') AS end_dte FROM dual
--UNION ALL
--SELECT 2 AS id, 259 AS status, to_date('26.08.2019 19:11:00','dd.mm.yyyy hh24:mi:ss') AS start_dte, to_date('31.12.2999 23:59:59','dd.mm.yyyy hh24:mi:ss') AS end_dte FROM dual
)
),
data
as
(select level-1 l from maxdays connect by level <= days )
select id,status,start_dte+l
from data, (SELECT 1 AS id, 232 AS status, to_date('21.08.2019 10:47:39','dd.mm.yyyy hh24:mi:ss') AS start_dte, to_date('25.08.2019 0:19:37','dd.mm.yyyy hh24:mi:ss') AS end_dte FROM dual
UNION ALL
SELECT 1 AS id, 235 AS status, to_date('25.08.2019 19:11:00','dd.mm.yyyy hh24:mi:ss') AS start_dte, to_date('27.08.2019 0:25:11','dd.mm.yyyy hh24:mi:ss') AS end_dte FROM dual
--UNION ALL
--SELECT 1 AS id, 233 AS status, to_date('27.08.2019 19:11:00','dd.mm.yyyy hh24:mi:ss') AS start_dte, to_date('31.12.2999 23:59:59','dd.mm.yyyy hh24:mi:ss') AS end_dte FROM dual
UNION ALL
SELECT 2 AS id, 301 AS status, to_date('20.08.2019 10:47:39','dd.mm.yyyy hh24:mi:ss') AS start_dte, to_date('23.08.2019 0:19:37','dd.mm.yyyy hh24:mi:ss') AS end_dte FROM dual
UNION ALL
SELECT 2 AS id, 264 AS status, to_date('23.08.2019 19:11:00','dd.mm.yyyy hh24:mi:ss') AS start_dte, to_date('26.08.2019 0:25:11','dd.mm.yyyy hh24:mi:ss') AS end_dte FROM dual
--UNION ALL
--SELECT 2 AS id, 259 AS status, to_date('26.08.2019 19:11:00','dd.mm.yyyy hh24:mi:ss') AS start_dte, to_date('31.12.2999 23:59:59','dd.mm.yyyy hh24:mi:ss') AS end_dte FROM dual
)
where l <= end_dte-start_dte
order by 2,3,1;


Ok i'm understand now.
The process is called data densification. You can google for it.
with data as (
SELECT 1 AS id, 232 AS status, to_date('21.08.2019 10:47:39','dd.mm.yyyy hh24:mi:ss') AS start_dte, to_date('25.08.2019 0:19:37','dd.mm.yyyy hh24:mi:ss') AS end_dte FROM dual
UNION ALL
SELECT 1 AS id, 235 AS status, to_date('25.08.2019 19:11:00','dd.mm.yyyy hh24:mi:ss') AS start_dte, to_date('27.08.2019 0:25:11','dd.mm.yyyy hh24:mi:ss') AS end_dte FROM dual
UNION ALL
SELECT 1 AS id, 233 AS status, to_date('27.08.2019 19:11:00','dd.mm.yyyy hh24:mi:ss') AS start_dte, to_date('31.12.2999 23:59:59','dd.mm.yyyy hh24:mi:ss') AS end_dte FROM dual
UNION ALL
SELECT 2 AS id, 301 AS status, to_date('20.08.2019 10:47:39','dd.mm.yyyy hh24:mi:ss') AS start_dte, to_date('23.08.2019 0:19:37','dd.mm.yyyy hh24:mi:ss') AS end_dte FROM dual
UNION ALL
SELECT 2 AS id, 264 AS status, to_date('23.08.2019 19:11:00','dd.mm.yyyy hh24:mi:ss') AS start_dte, to_date('26.08.2019 0:25:11','dd.mm.yyyy hh24:mi:ss') AS end_dte FROM dual
UNION ALL
SELECT 2 AS id, 259 AS status, to_date('26.08.2019 19:11:00','dd.mm.yyyy hh24:mi:ss') AS start_dte, to_date('31.12.2999 23:59:59','dd.mm.yyyy hh24:mi:ss') AS end_dte FROM dual)
,ref_dates as ( select (select min(trunc(start_dte)) from data) + level dd from dual
connect by (select min(trunc(start_dte)) from data) + level
<= (select max(trunc(end_dte)) from data where end_dte != to_date('31.12.2999 23:59:59','dd.mm.yyyy hh24:mi:ss')) )
select id,status,dd vol from data partition by (status)
left join ref_dates x on (dd >=trunc(start_dte) and dd <= trunc(end_dte) )
where 1=1
order by status,dd


I think the correct answer is not producing the desired result.
You can try the following query:
SQL> with data as (
2 SELECT 1 AS id, 232 AS status, to_date('21.08.2019 10:47:39','dd.mm.yyyy hh24:mi:ss') AS start_dte, to_date('25.08.2019 0:19:37','dd.mm.yyyy hh24:mi:ss') AS end_dte FROM dual UNION ALL
3 SELECT 1 AS id, 235 AS status, to_date('25.08.2019 19:11:00','dd.mm.yyyy hh24:mi:ss') AS start_dte, to_date('27.08.2019 0:25:11','dd.mm.yyyy hh24:mi:ss') AS end_dte FROM dual UNION ALL
4 SELECT 1 AS id, 233 AS status, to_date('27.08.2019 19:11:00','dd.mm.yyyy hh24:mi:ss') AS start_dte, to_date('31.12.2999 23:59:59','dd.mm.yyyy hh24:mi:ss') AS end_dte FROM dual UNION ALL
5 SELECT 2 AS id, 301 AS status, to_date('20.08.2019 10:47:39','dd.mm.yyyy hh24:mi:ss') AS start_dte, to_date('23.08.2019 0:19:37','dd.mm.yyyy hh24:mi:ss') AS end_dte FROM dual UNION ALL
6 SELECT 2 AS id, 264 AS status, to_date('23.08.2019 19:11:00','dd.mm.yyyy hh24:mi:ss') AS start_dte, to_date('26.08.2019 0:25:11','dd.mm.yyyy hh24:mi:ss') AS end_dte FROM dual UNION ALL
7 SELECT 2 AS id, 259 AS status, to_date('26.08.2019 19:11:00','dd.mm.yyyy hh24:mi:ss') AS start_dte, to_date('31.12.2999 23:59:59','dd.mm.yyyy hh24:mi:ss') AS end_dte FROM dual)
8 ,D AS (select ID, STATUS, TRUNC(start_dte) AS start_dte, TRUNC(end_dte) AS end_dte from data)
9 SELECT
10 ID,
11 STATUS,
12 START_DTE
13 FROM
14 (
15 SELECT DISTINCT
16 ID,
17 STATUS,
18 START_DTE + LEVEL - 1 AS START_DTE,
19 END_DTE
20 FROM
21 D
22 CONNECT BY
23 LEVEL <= TRUNC(CASE
24 WHEN END_DTE = DATE '2999-12-31' THEN START_DTE + 1
25 ELSE END_DTE
26 END) - START_DTE + 1
27 )
28 WHERE
29 START_DTE != END_DTE
30 ORDER BY
31 ID,
32 START_DTE
33 ;
ID STATUS START_DTE
---------- ---------- ---------
1 232 21-AUG-19
1 232 22-AUG-19
1 232 23-AUG-19
1 232 24-AUG-19
1 235 25-AUG-19
1 235 26-AUG-19
1 233 27-AUG-19
1 233 28-AUG-19
2 301 20-AUG-19
2 301 21-AUG-19
2 301 22-AUG-19
ID STATUS START_DTE
---------- ---------- ---------
2 264 23-AUG-19
2 264 24-AUG-19
2 264 25-AUG-19
2 259 26-AUG-19
2 259 27-AUG-19
16 rows selected.
SQL>
Cheers!!

Related

time range between 2 dates

I have following script
with first_step as
(
SELECT
1 as MY_TYPE,
2373 as my_id
,to_date('15.02.23 17:00' , 'dd.mm.yyyy HH24:MI') AS time_from
,to_date('17.02.23 12:00' , 'dd.mm.yyyy HH24:MI')AS time_till
from dual
union all
SELECT
1 as MY_TYPE,
2373 as my_id
,to_date('16.02.23 14:00' , 'dd.mm.yyyy HH24:MI') AS time_from
,to_date('16.02.23 15:00' , 'dd.mm.yyyy HH24:MI')AS time_till
from dual
union all
SELECT
0 as MY_TYPE,
2373 as my_id
,to_date('14.02.23 22:00' , 'dd.mm.yyyy HH24:MI') AS time_from
,to_date('16.02.23 18:00' , 'dd.mm.yyyy HH24:MI')AS time_till
from dual
),
second_step as
(
select
MY_TYPE,
my_id,
to_date(to_char(time_from +(column_value-1), 'dd.mm.yyyy'),'dd.mm.yyyy') AS my_date,
case when trunc(time_from) < to_date(to_char(time_from +(column_value-1), 'dd.mm.yyyy'),'dd.mm.yyyy') then '00:00' else to_char(time_from,'HH24:MI') end time_from,
case when trunc(time_till) > to_date(to_char(time_from +(column_value-1), 'dd.mm.yyyy'),'dd.mm.yyyy') then '23:59' else replace(to_char(time_till,'HH24:MI'),'00:00','23:59') end time_till
from first_step
CROSS JOIN TABLE ( CAST(MULTISET(
SELECT
level
from
dual
CONNECT BY time_from + level-1 <= time_till
) AS sys.odcinumberlist) ) n
)
select * from second_step
order by
my_date,time_from, time_till
that is what I get
But I need that
So, we have entries which are on the same day, but also entries lasting multiple days. The single day entries should stay as they are, but the multiple days should be stretched.Currently my multiple days entries are not represented correctly. What is wrong with my script?

You can use a recursive query:
with first_step (my_type, my_id, time_from, time_till) as (
SELECT 1,
2373,
to_date('15.02.2023 17:00', 'dd.mm.yyyy HH24:MI'),
to_date('17.02.2023 12:00', 'dd.mm.yyyy HH24:MI')
from dual
union all
SELECT 1,
2373,
to_date('16.02.2023 14:00', 'dd.mm.yyyy HH24:MI'),
to_date('16.02.2023 15:00', 'dd.mm.yyyy HH24:MI')
from dual
union all
SELECT 0,
2373,
to_date('14.02.2023 22:00', 'dd.mm.yyyy HH24:MI'),
to_date('16.02.2023 18:00', 'dd.mm.yyyy HH24:MI')
from dual
),
days (my_type, my_id, time_from, day_end, time_till) AS (
SELECT my_type,
my_id,
time_from,
TRUNC(time_from) + INTERVAL '23:59:59' HOUR TO SECOND,
time_till
FROM first_step
UNION ALL
SELECT my_type,
my_id,
day_end + INTERVAL '1' SECOND,
day_end + INTERVAL '1' DAY,
time_till
FROM days
WHERE day_end < time_till
)
SELECT my_type,
my_id,
time_from,
LEAST(day_end, time_till) AS time_till
FROM days
ORDER BY my_id, time_from, time_till;
Or a hierarchical query:
with first_step (my_type, my_id, time_from, time_till) as (
SELECT 1,
2373,
to_date('15.02.2023 17:00', 'dd.mm.yyyy HH24:MI'),
to_date('17.02.2023 12:00', 'dd.mm.yyyy HH24:MI')
from dual
union all
SELECT 1,
2373,
to_date('16.02.2023 14:00', 'dd.mm.yyyy HH24:MI'),
to_date('16.02.2023 15:00', 'dd.mm.yyyy HH24:MI')
from dual
union all
SELECT 0,
2373,
to_date('14.02.2023 22:00', 'dd.mm.yyyy HH24:MI'),
to_date('16.02.2023 18:00', 'dd.mm.yyyy HH24:MI')
from dual
)
SELECT my_type,
my_id,
GREATEST(time_from, day_start) AS time_from,
LEAST(time_till, day_end) AS time_till
FROM first_step f
CROSS JOIN LATERAL (
SELECT TRUNC(f.time_from) + LEVEL - INTERVAL '1' DAY AS day_start,
TRUNC(f.time_from) + LEVEL - INTERVAL '1' SECOND AS day_end
FROM dual
CONNECT BY TRUNC(f.time_from) + LEVEL - 1 < f.time_till
)
ORDER BY my_id, time_from, time_till
Which both output:
MY_TYPE
MY_ID
TIME_FROM
TIME_TILL
0
2373
2023-02-14 22:00:00
2023-02-14 23:59:59
0
2373
2023-02-15 00:00:00
2023-02-15 23:59:59
1
2373
2023-02-15 17:00:00
2023-02-15 23:59:59
0
2373
2023-02-16 00:00:00
2023-02-16 18:00:00
1
2373
2023-02-16 00:00:00
2023-02-16 23:59:59
1
2373
2023-02-16 14:00:00
2023-02-16 15:00:00
1
2373
2023-02-17 00:00:00
2023-02-17 12:00:00
Note: to_date('16.02.23 14:00', 'dd.mm.yyyy HH24:MI') will give you the year 0023 and not 2023. If you want 2023 then use a 4-digit year or the format model RR or YY.
fiddle

finding the time periods an issuer has not called the service from a given time period

I have a table that contains the time periods when an issuer calls the service. this table can have overlapping and non overlapping time periods:
with mht_issuer_revoked_call (issuerid, startdate, enddate) as (values
(4, to_date('25-11-2022', 'dd-mm-yyyy'), to_date('25-11-2022 12:00:00', 'dd-mm-yyyy hh24:mi:ss'),
(4, to_date('25-11-2022 12:00:00', 'dd-mm-yyyy hh24:mi:ss'), to_date('26-11-2022', 'dd-mm-yyyy'),
(40, to_date('25-11-2022', 'dd-mm-yyyy'), to_date('25-11-2022 06:00:00', 'dd-mm-yyyy hh24:mi:ss'),
(40, to_date('25-11-2022 06:00:00', 'dd-mm-yyyy hh24:mi:ss'), to_date('25-11-2022 12:00:00', 'dd-mm-yyyy hh24:mi:ss'),
(40, to_date('25-11-2022 11:30:00', 'dd-mm-yyyy hh24:mi:ss'), to_date('25-11-2022 18:00:00', 'dd-mm-yyyy hh24:mi:ss'),
(40, to_date('25-11-2022 18:30:00', 'dd-mm-yyyy hh24:mi:ss'), to_date('25-11-2022 19:30:00', 'dd-mm-yyyy hh24:mi:ss'),
(50, to_date('25-11-2022', 'dd-mm-yyyy'), to_date('25-11-2022 12:00:00', 'dd-mm-yyyy hh24:mi:ss'),
(50, to_date('25-11-2022 11:00:00', 'dd-mm-yyyy hh24:mi:ss'), to_date('26-11-2022 01:30:00', 'dd-mm-yyyy hh24:mi:ss'),
(40, to_date('25-11-2022 19:31:00', 'dd-mm-yyyy hh24:mi:ss'), to_date('26-11-2022', 'dd-mm-yyyy'),
(50, to_date('25-11-2022 23:10:00', 'dd-mm-yyyy hh24:mi:ss'), to_date('25-11-2022 23:30:00', 'dd-mm-yyyy hh24:mi:ss'),
(50, to_date('25-11-2022 23:30:00', 'dd-mm-yyyy hh24:mi:ss'), to_date('25-11-2022 23:45:00', 'dd-mm-yyyy hh24:mi:ss'),
(50, to_date('25-11-2022 23:50:00', 'dd-mm-yyyy hh24:mi:ss'), to_date('25-11-2022 23:55:00', 'dd-mm-yyyy hh24:mi:ss')
)
i managed to merge the time periods and new time periods dont have any overlapping with each other. my output is as follows:
with issuer_calls_merged (issuerid, start_date_time, end_date_time) as (values
(4 ,'11/25/2022' , '11/26/2022'),
(40 ,'11/25/2022', '11/25/2022 6:00:00 PM'),
(40 ,'11/25/2022 6:30:00 PM', '11/25/2022 7:30:00 PM'),
(40 ,'11/25/2022 7:31:00 PM', '11/26/2022' ),
(50 ,'11/25/2022', '11/26/2022 1:30:00 AM')
)
i am trying to write a procedure that gets FromDate and EndDate as input parameters and for each issuer calculates how many minutes are not covered according to retrieved FromDate and EndDate Parameters.
for example i will give these parameters:
FromDate := '11/20/2022'
EndDate := '11/28/2022'
then according to inserted time periods in issuer_calls table, for issuerid 40 i expect this output:
| issuerid | start_date_time(uncovered) | end_date_time(uncovered) | uncovered_time_minutes
| 40 | 11/20/2022 | 11/25/2022 | 7200
| 40 | 11/25/2022 6:00:00 PM | 11/25/2022 6:30:00 PM | 30
| 40 | 11/25/2022 7:30:00 PM | 11/25/2022 7:31:00 PM | 1
| 40 | 11/26/2022 | 11/28/2022 | 2880
i tried to do the job with procedure bellow:
create or replace procedure GAP(out_res out sys_refcursor,
in_FromDate mht_issuer_revoked_call.startdate%type,
in_EndDate mht_issuer_revoked_call.enddate%type
) AS
BEGIN
**-- i tried to compare the given time period(FromDate-EndDate) with previous merged time periods and calculate the gaps and then union with previous gap**
open out_res for
select ut.issuerid,
ut.startdate,
ut.enddate,
ut.initialgap as gap
from
(
with minStartDate as
(
select r.issuerid,
min(r.startdate) as min_StartDate
from mht_issuer_revoked_call r
group by r.issuerid
)
select m.issuerid,
in_FromDate as StartDate,
case
when m.min_StartDate >= in_EndDate then in_EndDate
else m.min_StartDate
end as EndDate,
case
when m.min_StartDate >= in_EndDate then (in_EndDate - in_FromDate + 1)*24*60
else (min_StartDate - in_FromDate + 1)*24*60
end as initialgap
from minStartDate m
union all
**--- bellow part merges the time periods and calculate the gaps between them**
SELECT issuerid,
end_date_time,
next_row_start,
(next_row_start - end_date_time)*24*60 as gap
from
(
SELECT issuerid,
start_date_time,
end_date_time,
case
when lead(start_date_time) over(partition by issuerid order by start_date_time) is null then end_date_time
else lead(start_date_time) over(partition by issuerid order by start_date_time)
end as next_row_start
FROM (
SELECT issuerid,
LAG( dt ) OVER ( PARTITION BY issuerid ORDER BY dt ) AS start_date_time,
dt AS end_date_time,
start_end
FROM (
SELECT issuerid,
dt,
CASE SUM( value ) OVER ( PARTITION BY issuerid ORDER BY dt ASC, value DESC, ROWNUM ) * value
WHEN 1 THEN 'start'
WHEN 0 THEN 'end'
END AS start_end
FROM mht_issuer_revoked_call
UNPIVOT ( dt FOR value IN ( startdate AS 1, enddate AS -1 ) )
)
WHERE start_end IS NOT NULL
)
WHERE start_end = 'end'
)
where (next_row_start - end_date_time) > 0
group by issuerid,next_row_start,end_date_time
) ut
order by ut.issuerid, ut.StartDate;
END gap;
but at the end i couldn't achieve the explained result above

You can get your result using just SQL and process it later. In this answer your FromDate And EndDate (P_FROM, P_UNTILL) are set to those from your question. You can define them as parameters or bind variables so you could change them. Comments are in the code.
WITH
tbl AS -- sample data
(
Select 4 "ID", To_Date('25.11.2022 00:00:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 12:00:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 4 "ID", To_Date('25.11.2022 12:00:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('26.11.2022 00:00:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 40 "ID", To_Date('25.11.2022 00:00:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 06:00:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 40 "ID", To_Date('25.11.2022 06:00:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 12:00:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 40 "ID", To_Date('25.11.2022 11:30:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 18:00:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 40 "ID", To_Date('25.11.2022 18:30:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 19:30:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 40 "ID", To_Date('25.11.2022 19:31:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('26.11.2022 00:00:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 50 "ID", To_Date('25.11.2022 00:00:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 12:00:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 50 "ID", To_Date('25.11.2022 11:00:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('26.11.2022 01:30:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 50 "ID", To_Date('25.11.2022 23:10:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 23:30:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 50 "ID", To_Date('25.11.2022 23:30:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 23:45:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 50 "ID", To_Date('25.11.2022 23:50:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 23:55:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual
),
day_tbl AS -- create CTE to prepare your data
( Select ID,
ROW_NUMBER() OVER(Partition By ID Order By START_DATE) "RN", -- ordering ID events
START_DATE "START_DATE", To_Char(START_DATE, 'hh24:mi:ss') "START_TIME", -- just showing the time part of START_DATE
END_DATE "END_DATE", To_Char(END_DATE, 'hh24:mi:ss') "END_TIME", -- just showing the time part of END_DATE
--
To_Date('20.11.2022', 'dd.mm.yyyy') "P_FROM", -- column with P_FROM - you could define it as bind variable
To_Date('28.11.2022', 'dd.mm.yyyy') "P_UNTILL", -- column with P_FROM - you could define it as bind variable
( END_DATE - START_DATE ) * 24 * 60 "MINS" -- first calculation used for first and last row
From
(Select *
From ( -- for each ID create starting and ending row and union them with your data
Select ID "ID", START_DATE "START_DATE", END_DATE "END_DATE" From tbl Union ALL
Select ID, To_Date('20.11.2022', 'dd.mm.yyyy'), Min(START_DATE) From tbl GROUP BY ID Union All -- row with P_FROM as START_DATE - you could define it as bind variable
Select ID, Max(END_DATE), To_Date('28.11.2022', 'dd.mm.yyyy') From tbl GROUP BY ID -- row with P_UNTILL as END_DATE - you could define it as bind variable
)
Order By ID, START_DATE
)
)
SELECT
* -- you can select just the columns you need (not all of them like here)
FROM
( Select
ID, RN, START_DATE, START_TIME, END_DATE, END_TIME, P_FROM, P_UNTILL,
CASE WHEN RN = 1 Or RN = Max(RN) OVER(Partition By ID) THEN MINS -- first and last row already calculated
-- else --> second calculation for rows that are not first nor last
ELSE Round(( START_DATE - FIRST_VALUE(END_DATE) OVER(Partition By ID, TRUNC(START_DATE) Order By START_DATE Rows Between 1 Preceding And Current Row) ) * 24 * 60, 0)
END "MINS"
From
day_tbl
)
WHERE
MINS > 0 -- if you want just ID=40 here you can filter it
--
/* R e s u l t :
ID RN START_DATE START_TIME END_DATE END_TIME P_FROM P_UNTILL MINS
---------- ---------- ---------- ---------- --------- -------- --------- --------- ----------
4 1 20-NOV-22 00:00:00 25-NOV-22 00:00:00 20-NOV-22 28-NOV-22 7200
4 4 26-NOV-22 00:00:00 28-NOV-22 00:00:00 20-NOV-22 28-NOV-22 2880
40 1 20-NOV-22 00:00:00 25-NOV-22 00:00:00 20-NOV-22 28-NOV-22 7200
40 5 25-NOV-22 18:30:00 25-NOV-22 19:30:00 20-NOV-22 28-NOV-22 30
40 6 25-NOV-22 19:31:00 26-NOV-22 00:00:00 20-NOV-22 28-NOV-22 1
40 7 26-NOV-22 00:00:00 28-NOV-22 00:00:00 20-NOV-22 28-NOV-22 2880
50 1 20-NOV-22 00:00:00 25-NOV-22 00:00:00 20-NOV-22 28-NOV-22 7200
50 6 25-NOV-22 23:50:00 25-NOV-22 23:55:00 20-NOV-22 28-NOV-22 5
50 7 26-NOV-22 01:30:00 28-NOV-22 00:00:00 20-NOV-22 28-NOV-22 2790
*/

i think i could finally finish the job.
mht_issuer_revoked_call: this is the table whenever an issuer calls the service, issuerid, startdate and enddate are submitted.
MHT_ISSUER_MERGED_CALLS: the requests of issuers are merged and stored in this table.
MHT_ISSUER_UNIONED_CALLS: merged calls and input parameters are unioned and stored in this table.
create or replace procedure GAP(out_res out sys_refcursor,
in_FromDate mht_issuer_revoked_call.startdate%type,
in_EndDate mht_issuer_revoked_call.enddate%type
) as
BEGIN
delete from MHT_ISSUER_MERGED_CALLS;
commit;
insert into MHT_ISSUER_MERGED_CALLS (
select issuerid,
start_date_time as start_date,
end_date_time as end_date
FROM (
SELECT issuerid,
LAG(dt) OVER(PARTITION BY issuerid ORDER BY dt) AS start_date_time,
dt AS end_date_time,
start_end
FROM (
SELECT issuerid,
dt,
CASE SUM(value) OVER(PARTITION BY issuerid ORDER BY dt ASC, value DESC, ROWNUM) * value
WHEN 1 THEN 'start'
WHEN 0 THEN 'end'
END AS start_end
FROM mht_issuer_revoked_call UNPIVOT(dt FOR value IN(startdate AS 1, enddate AS - 1))
)
WHERE start_end IS NOT NULL
)
WHERE start_end = 'end');
commit;
delete from MHT_ISSUER_UNIONED_CALLS;
commit;
insert into MHT_ISSUER_UNIONED_CALLS
(
Select ISSUERID,
ROW_NUMBER() OVER(Partition By ISSUERID Order By START_DATE) "RN",
START_DATE "START_DATE",
To_Char(START_DATE, 'hh24:mi:ss') "START_TIME",
END_DATE "END_DATE",
To_Char(END_DATE, 'hh24:mi:ss') "END_TIME",
in_FromDate "P_FROM",
in_EndDate "P_UNTILL",
(END_DATE - START_DATE) * 24 * 60 "MINS"
From (
Select *
From (
Select issuerid "ISSUERID",
STARTDATE "START_DATE",
ENDDATE "END_DATE"
From MHT_ISSUER_MERGED_CALLS
Union ALL
Select issuerid,
case
when in_FromDate >= Min(STARTDATE) then Min(STARTDATE)
else in_FromDate
end,
case
when in_EndDate <= Min(STARTDATE) then in_EndDate
else Min(STARTDATE)
end
From MHT_ISSUER_MERGED_CALLS
GROUP BY issuerid
Union All
Select issuerid,
case
when Max(ENDDATE) <= in_FromDate then in_FromDate
else Max(ENDDATE)
end,
case
when in_EndDate <= Max(ENDDATE) then Max(ENDDATE)
else in_EndDate
end
From MHT_ISSUER_MERGED_CALLS
GROUP BY issuerid)
Order By ISSUERID, START_DATE ASC, END_DATE ASC
)
);
COMMIT;
open out_res for
select ISSUERID,
START_DATE AS START_DATE,
SELECTED_END_DATE AS END_DATE,
MINS AS GAP_MINUTES
from
(
Select ISSUERID,
RN,
START_DATE,
trunc(start_date),
START_TIME,
END_DATE,
END_TIME,
P_FROM,
P_UNTILL,
FIRST_VALUE(END_DATE) OVER(Partition By ISSUERID, TRUNC(START_DATE) Order By START_DATE Rows Between 1 Preceding And Current Row) as Selected_End_Date,
CASE
WHEN RN = 1 Or RN = Max(RN) OVER(Partition By ISSUERID) THEN MINS
ELSE
Round((START_DATE - FIRST_VALUE(END_DATE)OVER(Partition By ISSUERID, TRUNC(START_DATE) Order By START_DATE
Rows Between 1 Preceding And Current Row)) * 24 * 60,0)
END "MINS"
From MHT_ISSUER_UNIONED_CALLS
)
where mins > 0
and START_DATE >= in_FromDate and END_DATE <= in_EndDate;
END gap;

how can I find the gaps between overlapping or non overlapping date ranges in one day?

I have a table that shows the date and time whenever an issuer has called the service. I want to write a query to show in a specific day the requests of an specific issuer has not covered the 24 hours. I will be appreciated if someone can guide me. I am beginner at SQL.
i tried to partition by issuerid and order by startdate and use the lag to compare startdate and enddate with previous record and add a new start and end date but i think i cant get the answer this way.
select r.*,
case
when r.startdate > lag(r.enddate) over(partition by r.issuerid order by r.startdate) then r.startdate
else min(r.startdate) over(partition by r.issuerid order by r.startdate)
end startdate_new,
case
when lag(r.enddate) over(partition by r.issuerid order by r.startdate) is null then r.enddate
when r.enddate <= lag(r.enddate) over(partition by r.issuerid order by r.startdate) then lag(r.enddate) over(partition by r.issuerid order by r.startdate)
when r.enddate > lag(r.enddate) over(partition by r.issuerid order by r.startdate) then r.enddate
end enddate_new
from mht_issuer_revoked_call r

Not quite sure what you are trying to get exactly (there is no expected outcome), but maybe something like this could help:
Sample data
WITH
tbl AS
(
Select 4 "ID", To_Date('25.11.2022 00:00:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 12:00:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 4 "ID", To_Date('25.11.2022 12:00:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('26.11.2022 00:00:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 40 "ID", To_Date('25.11.2022 00:00:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 06:00:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 40 "ID", To_Date('25.11.2022 06:00:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 12:00:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 40 "ID", To_Date('25.11.2022 11:30:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 18:00:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 40 "ID", To_Date('25.11.2022 18:30:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 19:30:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 40 "ID", To_Date('25.11.2022 19:31:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('26.11.2022 00:00:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 50 "ID", To_Date('25.11.2022 00:00:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 12:00:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 50 "ID", To_Date('25.11.2022 11:00:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('26.11.2022 01:30:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 50 "ID", To_Date('25.11.2022 23:10:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 23:30:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 50 "ID", To_Date('25.11.2022 23:30:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 23:45:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 50 "ID", To_Date('25.11.2022 23:50:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 23:55:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual
),
Create CTE (day_tbl) transforming your dates and times to get you dayly events and to record possible extension to next day:
day_tbl AS
( Select
ID,
START_DATE "START_DATE",
ROW_NUMBER() OVER(Partition By ID Order By START_DATE) "CALL_NO",
To_Char(START_DATE, 'hh24:mi:ss') "START_TIME",
END_DATE "END_DATE",
To_Char(END_DATE, 'hh24:mi:ss') "END_TIME",
--
CASE
WHEN (TRUNC(START_DATE) = TRUNC(END_DATE) And To_Char(END_DATE, 'hh24:mi:ss') = '00:00:00')
OR
(TRUNC(END_DATE) - TRUNC(START_DATE) = 1 AND To_Char(END_DATE, 'hh24:mi:ss') = '00:00:00')
THEN TRUNC(START_DATE)
ELSE END_DATE
END "NEW_END_DATE",
CASE
WHEN (TRUNC(START_DATE) = TRUNC(END_DATE) And To_Char(END_DATE, 'hh24:mi:ss') = '00:00:00')
OR
(TRUNC(END_DATE) - TRUNC(START_DATE) = 1 AND To_Char(END_DATE, 'hh24:mi:ss') = '00:00:00')
THEN '24:00:00'
ELSE To_Char(END_DATE, 'hh24:mi:ss')
END "NEW_END_TIME",
--
CASE
WHEN (TRUNC(END_DATE) - TRUNC(START_DATE) = 1 AND To_Char(END_DATE, 'hh24:mi:ss') != '00:00:00')
THEN '00:00:00'
END "NEXT_DAY_TIME_FROM",
CASE
WHEN (TRUNC(END_DATE) - TRUNC(START_DATE) = 1 AND To_Char(END_DATE, 'hh24:mi:ss') != '00:00:00')
THEN To_Char(END_DATE, 'hh24:mi:ss')
END "NEXT_DAY_TIME_UNTIL"
From
tbl
)
Main SQL resulting with events per DAY/ID with information about first and last event times (00 - 24), continuity and extention;
SELECT
ID,
START_DATE,
CALL_NO,
START_TIME "CALL_START_TIME",
NEW_END_TIME "CALL_END_TIME",
MIN(START_TIME) OVER(Partition By ID) "DAY_FIRST_TIME",
MAX(NEW_END_TIME) OVER(Partition By ID) "DAY_LAST_TIME",
CASE
WHEN LAG(NEW_END_TIME, 1, START_TIME) OVER(Partition By ID Order By START_DATE) > START_TIME THEN 'OVERLAP'
WHEN LAG(NEW_END_TIME, 1, START_TIME) OVER(Partition By ID Order By START_DATE) < START_TIME THEN 'GAP'
END "CONTINUITY",
NEXT_DAY_TIME_UNTIL "EXTENDS_TO_NEXT_DAY_TILL"
FROM
day_tbl
ORDER BY
ID,
START_DATE
Result:
ID
START_DATE
CALL_NO
CALL_START_TIME
CALL_END_TIME
DAY_FIRST_TIME
DAY_LAST_TIME
CONTINUITY
EXTENDS_TO_NEXT_DAY_TILL
4
25-NOV-22
1
00:00:00
12:00:00
00:00:00
24:00:00
4
25-NOV-22
2
12:00:00
24:00:00
00:00:00
24:00:00
40
25-NOV-22
1
00:00:00
06:00:00
00:00:00
24:00:00
40
25-NOV-22
2
06:00:00
12:00:00
00:00:00
24:00:00
40
25-NOV-22
3
11:30:00
18:00:00
00:00:00
24:00:00
OVERLAP
40
25-NOV-22
4
18:30:00
19:30:00
00:00:00
24:00:00
GAP
40
25-NOV-22
5
19:31:00
24:00:00
00:00:00
24:00:00
GAP
50
25-NOV-22
1
00:00:00
12:00:00
00:00:00
23:55:00
50
25-NOV-22
2
11:00:00
01:30:00
00:00:00
23:55:00
OVERLAP
01:30:00
50
25-NOV-22
3
23:10:00
23:30:00
00:00:00
23:55:00
GAP
50
25-NOV-22
4
23:30:00
23:45:00
00:00:00
23:55:00
50
25-NOV-22
5
23:50:00
23:55:00
00:00:00
23:55:00
GAP

It's a typical job for MATCH_RECOGNIZE:
WITH tbl(id, start_date, end_date) AS
(
Select 4 "ID", To_Date('25.11.2022 00:00:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 12:00:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 4 "ID", To_Date('25.11.2022 12:00:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('26.11.2022 00:00:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 40 "ID", To_Date('25.11.2022 00:00:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 06:00:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 40 "ID", To_Date('25.11.2022 06:00:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 12:00:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 40 "ID", To_Date('25.11.2022 11:30:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 18:00:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 40 "ID", To_Date('25.11.2022 18:30:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 19:30:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 40 "ID", To_Date('25.11.2022 19:31:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('26.11.2022 00:00:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 50 "ID", To_Date('25.11.2022 00:00:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 12:00:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 50 "ID", To_Date('25.11.2022 11:00:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('26.11.2022 01:30:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 50 "ID", To_Date('25.11.2022 23:10:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 23:30:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 50 "ID", To_Date('25.11.2022 23:30:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 23:45:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
Select 50 "ID", To_Date('25.11.2022 23:50:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 23:55:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual
),
merged_tbl(id,start_date,end_date) AS (
SELECT * FROM (
SELECT t.*, TRUNC(start_date) as sd FROM tbl t
)
MATCH_RECOGNIZE (
PARTITION BY ID
ORDER BY start_date, end_date
MEASURES FIRST(start_date) AS start_date, MAX(end_date)-1/(24*3600) AS end_date
PATTERN( merged* strt )
DEFINE
merged AS MAX(end_date) >= NEXT(start_date)
)
),
alldates(dat) as (
select start_date+level-1
from (select min(trunc(start_date)) as start_date, max(trunc(end_date)) as end_date from merged_tbl)
connect by start_date+level-1 <= end_date
)
select a.*, t.id
from alldates a
join merged_tbl t on dat between start_date and end_date
where end_date < dat+1-1/(24*3600)
;
DAT ID
------------------- ----------
25-11-2022 00:00:00 40
26-11-2022 00:00:00 50

Oracle SQL to find sum of difference of date by Group

I am trying to find a total duration consume by a Group by calculating date difference in a following query
with event AS (
SELECT 9000 AS ID, TO_DATE('2018-03-01 09:00:00','RRRR-MM-DD HH24:MI:SS') AS
TIMESTAMP, 'Start' AS EVENT FROM DUAL UNION ALL
SELECT 9000 AS ID, TO_DATE('2018-03/10 10:00:00','RRRR-MM-DD HH24:MI:SS') AS
TIMESTAMP, 'END' AS EVENT FROM DUAL UNION ALL
SELECT 9001 AS ID, TO_DATE('2018-03-10 11:00:00','RRRR-MM-DD HH24:MI:SS') AS
TIMESTAMP, 'Start' AS EVENT FROM DUAL UNION ALL
SELECT 9001 AS ID, TO_DATE('2018-03/20 10:00:00','RRRR-MM-DD HH24:MI:SS') AS
TIMESTAMP, 'END' AS EVENT FROM DUAL UNION ALL
SELECT 9000 AS ID, TO_DATE('2018-03-20 10:05:00','RRRR-MM-DD HH24:MI:SS') AS
TIMESTAMP, 'Start' AS EVENT FROM DUAL UNION ALL
SELECT 9000 AS ID, TO_DATE('2018-03/25 09:00:00','RRRR-MM-DD HH24:MI:SS') AS
TIMESTAMP, 'END' AS EVENT FROM DUAL UNION ALL
SELECT 9001 AS ID, TO_DATE('2018-03-25 10:15:00','RRRR-MM-DD HH24:MI:SS') AS
TIMESTAMP, 'Start' AS EVENT FROM DUAL UNION ALL
SELECT 9001 AS ID, TO_DATE('2018-03/26 12:00:00','RRRR-MM-DD HH24:MI:SS') AS
TIMESTAMP, 'END' AS EVENT FROM DUAL UNION ALL
SELECT 9002 AS ID, TO_DATE('2017-03-26 14:30:27','RRRR-MM-DD HH24:MI:SS') AS
TIMESTAMP, 'Start' AS EVENT FROM DUAL UNION ALL
SELECT 9002 AS ID, TO_DATE('2017-04-05 15:02:56','RRRR-MM-DD HH24:MI:SS') AS
TIMESTAMP, 'END' AS EVENT FROM DUAL
)
select id, min(timestamp) as call_start_ts, max(timestamp) as call_end_ts,
max(timestamp) - min(timestamp) as duration
from event t
group by id
order by 1;
I have also configure the SQLFiddle
Please help me
EDIT
Expected Result will be like below

Use the LAG or LEAD analytic functions to get the next END event's time:
SQL Fiddle
Oracle 11g R2 Schema Setup:
CREATE TABLE event ( id, timestamp, event ) AS
SELECT 9000, TO_DATE('2018-03-01 09:00:00','RRRR-MM-DD HH24:MI:SS'), 'Start' FROM DUAL UNION ALL
SELECT 9000, TO_DATE('2018-03/10 10:00:00','RRRR-MM-DD HH24:MI:SS'), 'END' FROM DUAL UNION ALL
SELECT 9001, TO_DATE('2018-03-10 11:00:00','RRRR-MM-DD HH24:MI:SS'), 'Start' FROM DUAL UNION ALL
SELECT 9001, TO_DATE('2018-03/20 10:00:00','RRRR-MM-DD HH24:MI:SS'), 'END' FROM DUAL UNION ALL
SELECT 9000, TO_DATE('2018-03-20 10:05:00','RRRR-MM-DD HH24:MI:SS'), 'Start' FROM DUAL UNION ALL
SELECT 9000, TO_DATE('2018-03/25 09:00:00','RRRR-MM-DD HH24:MI:SS'), 'END' FROM DUAL UNION ALL
SELECT 9001, TO_DATE('2018-03-25 10:15:00','RRRR-MM-DD HH24:MI:SS'), 'Start' FROM DUAL UNION ALL
SELECT 9001, TO_DATE('2018-03/26 12:00:00','RRRR-MM-DD HH24:MI:SS'), 'END' FROM DUAL UNION ALL
SELECT 9002, TO_DATE('2017-03-26 14:30:27','RRRR-MM-DD HH24:MI:SS'), 'Start' FROM DUAL UNION ALL
SELECT 9002, TO_DATE('2017-04-05 15:02:56','RRRR-MM-DD HH24:MI:SS'), 'END' FROM DUAL;
Query 1:
SELECT id,
MIN( timestamp ) AS start_ts,
MAX( end_time ) AS end_ts,
SUM( end_time - timestamp ) AS duration
FROM (
SELECT id,
timestamp,
event,
LEAD( CASE event WHEN 'END' THEN timestamp END )
OVER ( PARTITION BY id ORDER BY timestamp ) AS end_time
FROM event
)
WHERE event = 'Start'
GROUP BY id
ORDER BY id
Results:
| ID | START_TS | END_TS | DURATION |
|------|----------------------|----------------------|--------------------|
| 9000 | 2018-03-01T09:00:00Z | 2018-03-25T09:00:00Z | 13.996527777777779 |
| 9001 | 2018-03-10T11:00:00Z | 2018-03-26T12:00:00Z | 11.03125 |
| 9002 | 2017-03-26T14:30:27Z | 2017-04-05T15:02:56Z | 10.02255787037037 |

I solved the problem in two steps. First i match records in the same interval then i sum up their duration.
http://sqlfiddle.com/#!4/73f48/83
SELECT
Id,
round(SUM(duration))
FROM
(
SELECT
t.id,
MIN (t2. TIMESTAMP) - t. TIMESTAMP AS duration
FROM
event t,
event t2
WHERE
t.Id = t2.Id
AND t2.Event = 'END'
AND t.Event = 'Start'
AND t2. TIMESTAMP > t. TIMESTAMP
GROUP BY
t. TIMESTAMP,
t.Id
)
GROUP BY
Id

select
id, round(sum(end_timestamp - start_timestamp),3) DURATION
from (
select
t.id,
t.timestamp START_TIMESTAMP,
case when LEAD(t.event,1) OVER (partition by id order by timestamp, event desc) = 'END'
then LEAD(t.timestamp,1) OVER (partition by id order by timestamp, event desc)
else null end as END_TIMESTAMP
from event t
)tt
where end_timestamp is not null
group by id

Solution to your problem:
WITH event AS (
SELECT 9000 AS ID, TO_DATE('2018-03-01 09:00:00','RRRR-MM-DD HH24:MI:SS') AS TIMESTAMP, 'Start' AS EVENT FROM DUAL UNION ALL
SELECT 9000 AS ID, TO_DATE('2018-03/10 10:00:00','RRRR-MM-DD HH24:MI:SS') AS TIMESTAMP, 'END' AS EVENT FROM DUAL UNION ALL
SELECT 9001 AS ID, TO_DATE('2018-03-10 11:00:00','RRRR-MM-DD HH24:MI:SS') AS TIMESTAMP, 'Start' AS EVENT FROM DUAL UNION ALL
SELECT 9001 AS ID, TO_DATE('2018-03/20 10:00:00','RRRR-MM-DD HH24:MI:SS') AS TIMESTAMP, 'END' AS EVENT FROM DUAL UNION ALL
SELECT 9000 AS ID, TO_DATE('2018-03-20 10:05:00','RRRR-MM-DD HH24:MI:SS') AS TIMESTAMP, 'Start' AS EVENT FROM DUAL UNION ALL
SELECT 9000 AS ID, TO_DATE('2018-03/25 09:00:00','RRRR-MM-DD HH24:MI:SS') AS TIMESTAMP, 'END' AS EVENT FROM DUAL UNION ALL
SELECT 9001 AS ID, TO_DATE('2018-03-25 10:15:00','RRRR-MM-DD HH24:MI:SS') AS TIMESTAMP, 'Start' AS EVENT FROM DUAL UNION ALL
SELECT 9001 AS ID, TO_DATE('2018-03/26 12:00:00','RRRR-MM-DD HH24:MI:SS') AS TIMESTAMP, 'END' AS EVENT FROM DUAL UNION ALL
SELECT 9002 AS ID, TO_DATE('2017-03-26 14:30:27','RRRR-MM-DD HH24:MI:SS') AS TIMESTAMP, 'Start' AS EVENT FROM DUAL UNION ALL
SELECT 9002 AS ID, TO_DATE('2017-04-05 15:02:56','RRRR-MM-DD HH24:MI:SS') AS TIMESTAMP, 'END' AS EVENT FROM DUAL
)
,rn_event AS
(
select event.*,ROW_NUMBER() OVER (Partition BY ID ORDER BY TimeSTAMP) AS rn from event
)
, diff_event AS
(
SELECT e.ID, f.TIMESTAMP AS Start_time, e.timestamp AS End_Time, e.TIMESTAMP - f.timestamp AS duration
FROM rn_event e
INNER JOIN rn_event f
ON f.id = e.id AND f.EVENT = 'Start' AND f.rn = e.rn - 1
)
SELECT ID,MIN(Start_Time) START_TS, MAX(END_TIME) END_TS, ROUND(SUM(Duration)) AS Duration
FROM diff_event
GROUP BY ID;
OUTPUT:
ID START_TS END_TS DURATION
9000 2018-03-01T09:00:00Z 2018-03-25T09:00:00Z 14
9001 2018-03-10T11:00:00Z 2018-03-26T12:00:00Z 11
9002 2017-03-26T14:30:27Z 2017-04-05T15:02:56Z 10
A demo for the above query:
http://sqlfiddle.com/#!4/73f48/87

Count records per hour within a time span

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;

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;

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

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')