Related
I'm using Oracle 12c.
I need to generate dates for the start and end of weeks which begin on Thursday and end the following Wednesday.
An example of the output I'd like is -
I have the following SQL to generate the Start Date(s) -
SELECT startdate
FROM (SELECT next_day(date '2020-03-12' - 1, 'Thursday') + (level - 1) * 7 AS startdate
FROM dual
CONNECT BY level <=
((date'2024-03-31' - next_day(date '2020-03-12' - 1, 'Wednesday') + 7) / 7))
and this for End Dates -
(SELECT enddate
FROM (SELECT next_day(date '2020-03-12' - 1, 'Wednesday') + (level - 1) * 7 as enddate
FROM dual
CONNECT BY level <= ((date'2024-03-31' - next_day(date'2020-03-12' - 1, 'Thursday') + 7) / 7)))
Is it even possible to combine these in a single SQL query so the output of the query matches the desired format?
If so, then the addition of the week number would also be rather nice...:)
Generate the start date and then add 6 days to get the end date:
SELECT startdate,
startdate + INTERVAL '6' DAY AS enddate,
week
FROM (
SELECT NEXT_DAY(date'2020-03-12' - 1, 'Thursday')
+ ( level - 1 ) * INTERVAL '7' DAY as startdate,
LEVEL AS week
FROM DUAL
CONNECT BY
NEXT_DAY(date'2020-03-12' - 1, 'Thursday')
+ ( level - 1 ) * INTERVAL '7' DAY
+ INTERVAL '6' DAY
<= date'2024-03-31'
)
Which outputs:
STARTDATE
ENDDATE
WEEK
2020-03-12 00:00:00
2020-03-18 00:00:00
1
2020-03-19 00:00:00
2020-03-25 00:00:00
2
2020-03-26 00:00:00
2020-04-01 00:00:00
3
...
...
...
2024-03-07 00:00:00
2024-03-13 00:00:00
209
2024-03-14 00:00:00
2024-03-20 00:00:00
210
2024-03-21 00:00:00
2024-03-27 00:00:00
211
db<>fiddle here
So I have a table Integrations.
Inte
Start Date
End Date
Total_Duration
INT1
1/7/2021 7:16:00
1/7/2021 9:22:00
02:06:00
INt2
2/7/2021 3:48:00
2/7/2021 5:10:00
01:22:00
Output I need:
Running Time
No of Inte.
1/7/2021 7:00:00
1
1/7/2021 8:00:00
1
1/7/2021 9:00:00
1
2/7/2021 4:00:00
1
2/7/2021 5:00:00
1
Basically it want to plot the peak hour when most Integrations were running.
Sql query I wrote:
select time, sum(value) as No_of_Inte
from(
select round(Start_Date, 'HH24') as time, count(*) as value
from Integrations
group by Start_Date
)
group by time
order by time asc
But this does not consider Total Duration.
Output :
Running Time
No of Inte.
1/7/2021 7:00:00
1
2/7/2021 4:00:00
1
Also, new Integrations are added every day.
This can be done using a recursive query. First create the test data
CREATE TABLE integrations (inte,start_date, end_date)
AS
(
SELECT 'INT1', TO_DATE('1/7/2021 7:16:00','DD/MM/YYYY HH24:MI:SS'), TO_DATE('1/7/2021 9:22:00','DD/MM/YYYY HH24:MI:SS') FROM dual UNION ALL
SELECT 'INT2', TO_DATE('2/7/2021 3:48:00','DD/MM/YYYY HH24:MI:SS'), TO_DATE('2/7/2021 5:10:00','DD/MM/YYYY HH24:MI:SS') FROM dual
);
Now use a recursive query to loop through the hours between start and end date. Then group by hour to get the correct counts per hour.
WITH row_per_hours (id, run_hour, end_date) AS
(
SELECT inte,
TRUNC(start_date,'HH24'),
end_date
FROM integrations
UNION ALL
SELECT id,
run_hour + INTERVAL '1' HOUR,
end_date
FROM row_per_hours
WHERE run_hour + INTERVAL '1' HOUR < end_date
)
SELECT TO_CHAR(run_hour,'DD/MM/YYYY HH24:MI:SS') as running_time,
COUNT(id) as integration_count
FROM row_per_hours
GROUP BY TO_CHAR(run_hour,'DD/MM/YYYY HH24:MI:SS') ORDER BY 1;
RUNNING_TIME INTEGRATION_COUNT
------------------- -----------------
01/07/2021 07:00:00 1
01/07/2021 08:00:00 1
01/07/2021 09:00:00 1
02/07/2021 03:00:00 1
02/07/2021 04:00:00 1
02/07/2021 05:00:00 1
For 12C and above:
You may use lateral join to generate required number of rows per each interval. Since it looks like you need some rounding of dates towards neares hour, I've added round instead of trunc. Or is there any other reason for the first interval is treating 7:00 as inclusion?.
with a(Inte, start_dt, end_dt) as (
select
'INT1'
, to_date('1/7/2021 07:16:00', 'dd/mm/yyyy hh24:mi:ss')
, to_date('1/7/2021 09:22:00', 'dd/mm/yyyy hh24:mi:ss')
from dual union all
select
'INt2'
, to_date('2/7/2021 03:48:00', 'dd/mm/yyyy hh24:mi:ss')
, to_date('2/7/2021 05:10:00', 'dd/mm/yyyy hh24:mi:ss')
from dual
)
select /*+ gather_plan_statistics */
b.hour_
, count(1) as int_cnt
from a
outer apply (
select
round(a.start_dt + numtodsinterval(level - 1, 'HOUR'), 'hh24') as hour_
from dual
connect by round(start_dt, 'hh24') + numtodsinterval(level - 1, 'HOUR') <= trunc(end_dt, 'hh24')
) b
group by b.hour_
order by 1
HOUR_ | INT_CNT
:------------------ | ------:
2021-07-01 07:00:00 | 1
2021-07-01 08:00:00 | 1
2021-07-01 09:00:00 | 1
2021-07-02 04:00:00 | 1
2021-07-02 05:00:00 | 1
db<>fiddle here
I would like to get a table of months between two dates with a fraction of each month that the two dates cover.
For example with a start date of 15/01/2017 and end date of 01/03/2017 it would output:
01/2017 : 0.5483..
02/2017 : 1
03/2017: 0.0322..
where for January and March the calculations are 17/31 and 1/31 respectively. I currently have the query:
WITH dates_between as (SELECT ADD_MONTHS(TRUNC(TO_DATE(:givenStartDate,'dd/mm/yyyy'), 'MON'), ROWNUM - 1) date_out
FROM DUAL
CONNECT BY ADD_MONTHS(TRUNC(TO_DATE(:givenStartDate,'dd/mm/yyyy'), 'MON'), ROWNUM - 1)
<= TRUNC(TO_DATE(:givenEndDate,'dd/mm/yyyy'), 'MON')
)
select * from dates_between
This outputs each month between two dates and formats it to the start of the month. I just need another column to give me the fraction the start and end dates cover. I'm not sure of a way to do this without it getting messy.
The months_between() function "calculates the fractional portion of the result based on a 31-day month". That means that if your range starts or ends in a month that doesn't have 31 days, the fraction you get might not be quite what you expect:
select months_between(date '2017-04-02', date '2017-04-01') as calc from dual
CALC
----------
.0322580645
... which is 1/31, not 1/30. To get 0.0333... instead you'd need to calculate the number of days in each month, at least for the first and last month. This uses a recursive CTE (11gR2+) to get the months, using a couple of date ranges provided by another CTE as a demo to show the difference (you can use a hierarchical query too of course):
with ranges (id, start_date, end_date) as (
select 1, date '2017-01-15', date '2017-03-01' from dual
union all select 2, date '2017-01-31', date '2017-03-01' from dual
union all select 3, date '2017-02-28', date '2017-04-01' from dual
),
months (id, month_start, month_days, range_start, range_end) as (
select id,
trunc(start_date, 'MM'),
extract(day from last_day(start_date)),
start_date,
end_date
from ranges
union all
select id,
month_start + interval '1' month,
extract(day from last_day(month_start + interval '1' month)),
range_start,
range_end
from months
where month_start < range_end
)
select id,
to_char(month_start, 'YYYY-MM-DD') as month_start,
month_days,
case when month_start = trunc(range_start, 'MM')
then month_days - extract(day from range_start) + 1
when month_start = trunc(range_end, 'MM')
then extract(day from range_end)
else month_days end as range_days,
(case when month_start = trunc(range_start, 'MM')
then month_days - extract(day from range_start) + 1
when month_start = trunc(range_end, 'MM')
then extract(day from range_end)
else month_days end) / month_days as fraction
from months
order by id, month_start;
which gets:
ID MONTH_STAR MONTH_DAYS RANGE_DAYS FRACTION
------ ---------- ---------- ---------- --------
1 2017-01-01 31 17 0.5483
1 2017-02-01 28 28 1
1 2017-03-01 31 1 0.0322
2 2017-01-01 31 1 0.0322
2 2017-02-01 28 28 1
2 2017-03-01 31 1 0.0322
3 2017-02-01 28 1 0.0357
3 2017-03-01 31 31 1
3 2017-04-01 30 1 0.0333
The first CTE ranges is just the demo data. The second, recursive, CTE months generates the start and number of days in each month, while keeping track of the original range dates too. The final query just calculates the fractions based on the number of days in the month in the range against the number of days in that month overall.
The month_days and range_days are only shown in the output so you can see what the calculation is based on, you can obviously omit those from your actual result, and format the month start date however you want.
With your original single pair of bind variables the equivalent would be:
with months (month_start, month_days, range_start, range_end) as (
select trunc(to_date(:givenstartdate, 'DD/MM/YYYY'), 'MM'),
extract(day from last_day(to_date(:givenstartdate, 'DD/MM/YYYY'))),
to_date(:givenstartdate, 'DD/MM/YYYY'),
to_date(:givenenddate, 'DD/MM/YYYY')
from dual
union all
select month_start + interval '1' month,
extract(day from last_day(month_start + interval '1' month)),
range_start,
range_end
from months
where month_start < range_end
)
select to_char(month_start, 'MM/YYYY') as month,
(case when month_start = trunc(range_start, 'MM')
then month_days - extract(day from range_start) + 1
when month_start = trunc(range_end, 'MM')
then extract(day from range_end)
else month_days end) / month_days as fraction
from months
order by month_start;
MONTH FRACTION
------- --------
01/2017 0.5483
02/2017 1
03/2017 0.0322
Here's how I would do it (n.b. I have expanded your dates_between to work against multiple rows, purely for demonstration purposes. If you're only working with a single set of parameters, you wouldn't need to do that):
WITH params AS (SELECT 1 ID, '15/01/2017' givenstartdate, '01/03/2017' givenenddate FROM dual UNION ALL
SELECT 2 ID, '15/01/2017' givenstartdate, '23/01/2017' givenenddate FROM dual UNION ALL
SELECT 3 ID, '01/01/2017' givenstartdate, '07/04/2017' givenenddate FROM dual),
dates_between AS (SELECT ID,
to_date(givenstartdate, 'dd/mm/yyyy') givenstartdate,
to_date(givenenddate, 'dd/mm/yyyy') givenenddate,
add_months(trunc(to_date(givenstartdate, 'dd/mm/yyyy'), 'MON'), LEVEL - 1) start_of_month,
last_day(add_months(trunc(to_date(givenstartdate, 'dd/mm/yyyy'), 'MON'), LEVEL - 1)) end_of_month
FROM params
CONNECT BY add_months(trunc(to_date(givenstartdate, 'dd/mm/yyyy'), 'MON'), LEVEL - 1) <=
trunc(to_date(givenenddate, 'dd/mm/yyyy'), 'MON')
AND PRIOR ID = ID
AND PRIOR sys_guid() IS NOT NULL)
SELECT ID,
givenstartdate,
givenenddate,
start_of_month date_out,
end_of_month,
months_between(LEAST(givenenddate, end_of_month) + 1, GREATEST(start_of_month, givenstartdate))
FROM dates_between;
ID GIVENSTARTDATE GIVENENDDATE DATE_OUT END_OF_MONTH DIFF
1 15/01/2017 01/03/2017 01/01/2017 31/01/2017 0.54838709
1 15/01/2017 01/03/2017 01/02/2017 28/02/2017 1
1 15/01/2017 01/03/2017 01/03/2017 31/03/2017 0.03225806
2 15/01/2017 23/01/2017 01/01/2017 31/01/2017 0.29032258
3 01/01/2017 07/04/2017 01/01/2017 31/01/2017 1
3 01/01/2017 07/04/2017 01/02/2017 28/02/2017 1
3 01/01/2017 07/04/2017 01/03/2017 31/03/2017 1
3 01/01/2017 07/04/2017 01/04/2017 30/04/2017 0.22580645
N.B. You may need to add a case statement to decide whether you want to add 1 or not to the diff calculation, based on your requirements.
Try this
For first month, I have calculated remaining days / total days and for last month, I subtracted it by 1 to get days passed / total days.
DBFiddle Demo
WITH tbl AS
(SELECT date '2017-01-15' AS givenStartDate
,date '2017-03-01' AS givenEndDate
FROM dual
)
SELECT ADD_MONTHS(TRUNC(givenStartDate, 'MON'), ROWNUM - 1) AS date_out ,
CASE
WHEN
rownum - 1 = 0
THEN months_between(last_day(givenStartDate), givenStartDate)
WHEN ADD_MONTHS(TRUNC(givenStartDate, 'MON'), ROWNUM - 1) = TRUNC(givenEndDate, 'MON')
THEN 1 - (months_between(last_day(givenEndDate), givenEndDate))
ELSE 1
END AS perc
FROM tbl
CONNECT BY ADD_MONTHS(TRUNC(givenStartDate, 'MON'), ROWNUM - 1)
<= TRUNC(givenEndDate, 'MON');
Output
+-----------+-------------------------------------------+
| DATE_OUT | PERC |
+-----------+-------------------------------------------+
| 01-JAN-17 | .5161290322580645161290322580645161290323 |
| 01-FEB-17 | 1 |
| 01-MAR-17 | .0322580645161290322580645161290322580645 |
+-----------+-------------------------------------------+
I'm, using Oracle 11g and I have this problem. I couldn't come up with any ideas to solve it yet.
I have a table with occupied classrooms. What I need to find are the hours available between a datetime range. For example, I have rooms A, B and C, the table of occupied classrooms looks like this:
Classroom start end
A 10/10/2013 10:00 10/10/2013 11:30
B 10/10/2013 09:15 10/10/2013 10:45
B 10/10/2013 14:30 10/10/2013 16:00
What I need to get is something like this:
with date time range between '10/10/2013 07:00' and '10/10/2013 21:15'
Classroom avalailable_from available_to
A 10/10/2013 07:00 10/10/2013 10:00
A 10/10/2013 11:30 10/10/2013 21:15
B 10/10/2013 07:00 10/10/2013 09:15
B 10/10/2013 10:45 10/10/2013 14:30
B 10/10/2013 16:00 10/10/2013 21:15
C 10/10/2013 07:00 10/10/2013 21:15
Is there a way I can accomplish that with sql or pl/sql?
I was looking at a solution similar in concept at least to Wernfried's, but I think it's different enough to post as well. The start is the same idea, first generating the possible time slots, and assuming you're looking at 15-minute windows: I'm using CTEs because I think they're clearer than nested selects, particularly with this many levels.
with date_time_range as (
select to_date('10/10/2013 07:00', 'DD/MM/YYYY HH24:MI') as date_start,
to_date('10/10/2013 21:15', 'DD/MM/YYYY HH24:MI') as date_end
from dual
),
time_slots as (
select level as slot_num,
dtr.date_start + (level - 1) * interval '15' minute as slot_start,
dtr.date_start + level * interval '15' minute as slot_end
from date_time_range dtr
connect by level <= (dtr.date_end - dtr.date_start) * (24 * 4) -- 15-minutes
)
select * from time_slots;
This gives you the 57 15-minute slots between the start and end date you specified. The CTE for date_time_range isn't strictly necessary, you could put your dates straight into the time_slots conditions, but you'd have to repeat them and that then introduces a possible failure point (and means binding the same value multiple times, from JDBC or wherever).
Those slots can then be cross-joined to the list of classrooms, which I'm assuming are already in another table, which gives you 171 (3x57) combinations; and those can be compared with existing bookings - once those are eliminated you're left with the 153 15-minute slots that have no booking.
with date_time_range as (...),
time_slots as (...),
free_slots as (
select c.classroom, ts.slot_num, ts.slot_start, ts.slot_end,
lag(ts.slot_end) over (partition by c.classroom order by ts.slot_num)
as lag_end,
lead(ts.slot_start) over (partition by c.classroom order by ts.slot_num)
as lead_start
from time_slots ts
cross join classrooms c
left join occupied_classrooms oc on oc.classroom = c.classroom
and not (oc.occupied_end <= ts.slot_start
or oc.occupied_start >= ts.slot_end)
where oc.classroom is null
)
select * from free_slots;
But then you have to collapse those into contiguous ranges. There are various ways of doing that; here I'm peeking at the previous and next rows to decide if a particular value is the edge of a range:
with date_time_range as (...),
time_slots as (...),
free_slots as (...),
free_slots_extended as (
select fs.classroom, fs.slot_num,
case when fs.lag_end is null or fs.lag_end != fs.slot_start
then fs.slot_start end as slot_start,
case when fs.lead_start is null or fs.lead_start != fs.slot_end
then fs.slot_end end as slot_end
from free_slots fs
)
select * from free_slots_extended
where (fse.slot_start is not null or fse.slot_end is not null);
Now we're down to 12 rows. (The outer where clause eliminates all 141 of the 153 slots from the previous step which are mid-range, since we only care about the edges):
CLASSROOM SLOT_NUM SLOT_START SLOT_END
--------- ---------- ---------------- ----------------
A 1 2013-10-10 07:00
A 12 2013-10-10 10:00
A 19 2013-10-10 11:30
A 57 2013-10-10 21:15
B 1 2013-10-10 07:00
B 9 2013-10-10 09:15
B 16 2013-10-10 10:45
B 30 2013-10-10 14:30
B 37 2013-10-10 16:00
B 57 2013-10-10 21:15
C 1 2013-10-10 07:00
C 57 2013-10-10 21:15
So those represent the edges, but on separate rows, and a final step combines them:
...
select distinct fse.classroom,
nvl(fse.slot_start, lag(fse.slot_start)
over (partition by fse.classroom order by fse.slot_num)) as slot_start,
nvl(fse.slot_end, lead(fse.slot_end)
over (partition by fse.classroom order by fse.slot_num)) as slot_end
from free_slots_extended fse
where (fse.slot_start is not null or fse.slot_end is not null)
Or putting all that together:
with date_time_range as (
select to_date('10/10/2013 07:00', 'DD/MM/YYYY HH24:MI') as date_start,
to_date('10/10/2013 21:15', 'DD/MM/YYYY HH24:MI') as date_end
from dual
),
time_slots as (
select level as slot_num,
dtr.date_start + (level - 1) * interval '15' minute as slot_start,
dtr.date_start + level * interval '15' minute as slot_end
from date_time_range dtr
connect by level <= (dtr.date_end - dtr.date_start) * (24 * 4) -- 15-minutes
),
free_slots as (
select c.classroom, ts.slot_num, ts.slot_start, ts.slot_end,
lag(ts.slot_end) over (partition by c.classroom order by ts.slot_num)
as lag_end,
lead(ts.slot_start) over (partition by c.classroom order by ts.slot_num)
as lead_start
from time_slots ts
cross join classrooms c
left join occupied_classrooms oc on oc.classroom = c.classroom
and not (oc.occupied_end <= ts.slot_start
or oc.occupied_start >= ts.slot_end)
where oc.classroom is null
),
free_slots_extended as (
select fs.classroom, fs.slot_num,
case when fs.lag_end is null or fs.lag_end != fs.slot_start
then fs.slot_start end as slot_start,
case when fs.lead_start is null or fs.lead_start != fs.slot_end
then fs.slot_end end as slot_end
from free_slots fs
)
select distinct fse.classroom,
nvl(fse.slot_start, lag(fse.slot_start)
over (partition by fse.classroom order by fse.slot_num)) as slot_start,
nvl(fse.slot_end, lead(fse.slot_end)
over (partition by fse.classroom order by fse.slot_num)) as slot_end
from free_slots_extended fse
where (fse.slot_start is not null or fse.slot_end is not null)
order by 1, 2;
Which gives:
CLASSROOM SLOT_START SLOT_END
--------- ---------------- ----------------
A 2013-10-10 07:00 2013-10-10 10:00
A 2013-10-10 11:30 2013-10-10 21:15
B 2013-10-10 07:00 2013-10-10 09:15
B 2013-10-10 10:45 2013-10-10 14:30
B 2013-10-10 16:00 2013-10-10 21:15
C 2013-10-10 07:00 2013-10-10 21:15
SQL Fiddle.
It is always a challenge when you like to "select something which does not exist". First you need a list of all available classrooms and times (in interval of 15 Minutes). Then you can select them by skipping the occupied items.
I managed to make a query without any PL/SQL:
CREATE TABLE Table1
(Classroom VARCHAR2(10), start_ts DATE, end_ts DATE);
INSERT INTO Table1 VALUES ('A', TIMESTAMP '2013-01-10 10:00:00', TIMESTAMP '2013-01-10 11:30:00');
INSERT INTO Table1 VALUES ('B', TIMESTAMP '2013-01-10 09:15:00', TIMESTAMP '2013-01-10 10:45:00');
INSERT INTO Table1 VALUES ('B', TIMESTAMP '2013-01-10 14:30:00', TIMESTAMP '2013-01-10 16:00:00');
WITH all_rooms AS
(SELECT CHR(64+LEVEL) AS ROOM FROM dual CONNECT BY LEVEL <= 3),
all_times AS
(SELECT CAST(TIMESTAMP '2013-01-10 07:00:00' + (LEVEL-1) * INTERVAL '15' MINUTE AS DATE) AS TIMES, LEVEL AS SLOT
FROM DUAL
CONNECT BY TIMESTAMP '2013-01-10 07:00:00' + (LEVEL-1) * INTERVAL '15' MINUTE <= TIMESTAMP '2013-01-10 21:15:00'),
all_free_slots AS
(SELECT ROOM, TIMES, SLOT,
CASE SLOT-LAG(SLOT, 1, 0) OVER (PARTITION BY ROOM ORDER BY SLOT)
WHEN 1 THEN 0
ELSE 1
END AS NEW_WINDOW
FROM all_times
CROSS JOIN all_rooms
WHERE NOT EXISTS
(SELECT 1 FROM TABLE1 WHERE ROOM = CLASSROOM AND TIMES BETWEEN START_TS + INTERVAL '1' MINUTE AND END_TS - INTERVAL '1' MINUTE)),
free_time_windows AS
(SELECT ROOM, TIMES, SLOT,
SUM(NEW_WINDOW) OVER (PARTITION BY ROOM ORDER BY SLOT) AS WINDOW_ID
FROM all_free_slots)
SELECT ROOM,
TO_CHAR(MIN(TIMES), 'yyyy-mm-dd hh24:mi') AS free_time_start,
TO_CHAR(MAX(TIMES), 'yyyy-mm-dd hh24:mi') AS free_time_end
FROM free_time_windows
GROUP BY ROOM, WINDOW_ID
HAVING MAX(TIMES) - MIN(TIMES) > 0
ORDER BY ROOM, 2;
ROOM FREE_TIME_START FREE_TIME_END
---- ----------------------------------
A 2013-01-10 07:00 2013-01-10 10:00
A 2013-01-10 11:30 2013-01-10 21:15
B 2013-01-10 07:00 2013-01-10 09:15
B 2013-01-10 10:45 2013-01-10 14:30
B 2013-01-10 16:00 2013-01-10 21:15
C 2013-01-10 07:00 2013-01-10 21:15
In order to understand the query you can split the sub-queries from top, e.g.
WITH all_rooms AS
(SELECT CHR(64+LEVEL) AS ROOM FROM dual CONNECT BY LEVEL <= 3),
all_times AS
(SELECT CAST(TIMESTAMP '2013-01-10 07:00:00' + (LEVEL-1) * INTERVAL '15' MINUTE AS DATE) AS TIMES, LEVEL AS SLOT
FROM DUAL
CONNECT BY TIMESTAMP '2013-01-10 07:00:00' + (LEVEL-1) * INTERVAL '15' MINUTE <= TIMESTAMP '2013-01-10 21:15:00')
SELECT ROOM, TIMES, SLOT,
CASE SLOT-LAG(SLOT, 1, 0) OVER (PARTITION BY ROOM ORDER BY SLOT)
WHEN 1 THEN 0
ELSE 1
END AS NEW_WINDOW
FROM all_times
CROSS JOIN all_rooms
WHERE NOT EXISTS (SELECT 1 FROM TABLE1 WHERE ROOM = CLASSROOM AND TIMES BETWEEN START_TS + INTERVAL '1' MINUTE AND END_TS - INTERVAL '1' MINUTE)
ORDER BY ROOM, SLOT
I've got a table in a Sybase DB with a column createdDateTime.
What I want to be able to do is count how many rows were created between specific but accumulating time periods, ie:
7:00 - 7:15
7:00 - 7:30
7:00 - 7:45
7:00 - 8:00
...
and so on until I have the last time group, 7:00 - 18:00.
Is there a nice way to make one query in SQL that will return all the rows for me with all the row counts:
Time Rows Created
7:00 - 7:15 0
7:00 - 7:30 5
7:00 - 7:45 8
7:00 - 8:00 15
... ...
I have a solution at the moment, but it requires me running a parameterised query 44 times to get all the data.
Thanks,
I recently blogged about this exact topic, not sure if it works in Sybase though, here's the solution
declare #interval int
set #interval = 5
select datepart(hh, DateTimeColumn)
, datepart(mi, DateTimeColumn)/#interval*#interval
, count(*)
from thetable
group by datepart(hh, DateTimeColumn)
, datepart(mi, DateTimeColumn)/#interval*#interval
and more details
http://ebersys.blogspot.com/2010/12/sql-group-datetime-by-arbitrary-time.html
try this
select count(*) from table groupedby createdDateTime where createdDateTime in (
SELECT *
FROM table
WHERE createdDateTime between createdDateTime ('2011/01/01:07:00', 'yyyy/mm/dd:hh:mm')
AND createdDateTime ('2011/01/01:07:15', 'yyyy/mm/dd:hh:mm')
)
Does Sybase have a CASE statement? If so try this:
SELECT SUM(CASE WHEN CreatedTime BETWEEN ('7:00:00' AND '7:14:59') THEN 1 ELSE 0) as '7-7:15',
SUM(CASE WHEN CreatedTime BETWEEN ('7:15:00' AND '7:29:59') THEN 1 ELSE 0) as '7:15-7:30',
FROM MyTable
Where <conditions>
I use this a LOT in SQL Server.
You could determine the quarter of the hour in which a row was created and group by that value. Please note that this is Oracle SQL, but Sybase probably has an equivalent.
select to_char(datetime_created, 'HH24') hour
, floor(to_char(datetime_created, 'MI')/15)+1 quarter
, count(1)
from my_table
group by to_char(datetime_created, 'HH24')
, floor(to_char(datetime_created, 'MI')/15)+1;
You have irregular periods (some are 15 min length, others are 1 hour length, others are a few hours length). In that case, the best you can do is running a query with case statements:
with thetable as
(
SELECT 'TM' code, convert(datetime, '2011-04-15 07:01:00 AM') date, 1 id union all
SELECT 'TM', convert(datetime, '2011-04-15 07:05:00 AM'), 2 union all
SELECT 'TM', convert(datetime, '2011-04-15 07:08:00 AM'), 3 union all
SELECT 'TM', convert(datetime, '2011-04-15 07:20:00 AM'), 4 union all
SELECT 'TM', convert(datetime, '2011-04-15 08:25:00 AM'), 5
)
SELECT '07:00 - 07:15' interval, sum(case when CONVERT(varchar, date, 108) between '07:00:00' AND '07:14:59' then 1 else 0 end) counting
FROM thetable
union
select '07:15 - 08:00', sum(case when CONVERT(varchar, date, 108) between '07:15:00' AND '07:59:59' then 1 else 0 end)
from thetable
union
select '08:00 - 09:00', sum(case when CONVERT(varchar, date, 108) between '07:59:59' AND '08:59:59' then 1 else 0 end)
from thetable
Now, if you did have regular intervals, you'd do something like that:
select counting,
dateadd(ms,500-((datepart(ms,interval)+500)%1000),interval) intini
from
(
SELECT COUNT(1) counting, CONVERT(datetime, round(floor(CONVERT(float, date) * 24 * 4) / (24 * 4), 11)) interval
FROM
(
SELECT 'TM' code, convert(datetime, '2011-04-15 07:01:00 AM') date, 1 id union all
SELECT 'TM', convert(datetime, '2011-04-15 07:05:00 AM'), 2 union all
SELECT 'TM', convert(datetime, '2011-04-15 07:08:00 AM'), 3 union all
SELECT 'TM', convert(datetime, '2011-04-15 07:20:00 AM'), 4 union all
SELECT 'TM', convert(datetime, '2011-04-15 08:25:00 AM'), 5
) thetable
group by FLOOR(CONVERT(float, date) * 24 * 4)
) thetable2
Notice that 24 * 4 is the interval of 15 minutes. If your interval is 1 hour, you should replace that with 24. If you interval is 10 minutes, it should be 24 * 6. I think you got the picture.