I have some SQL that generates rows for every 5 minutes. How can this be modified to get rid of overlapping times (see below)
Note: Each row should be associated with a location_id with no repeats on the location_id. In this case there should be 25 rows generated so the CONNECT by should be something like SELECT count(*) from locations.
My goal is to create a function that takes in a schedule_id and a start_date in the format 'MMDDYYYY HH24:MI'; and stop creating rows if the next entry will cross midnight; that means some of the location_id may not be used.
The end result is to have the rows placed in the schedule table below. Since I don't have a function yet the schedule_id can be hard coded to 1. I've heard about recursive CTE, would this quality for that method?
Thanks in advance to all who answer and your expertise.
ALTER SESSION SET NLS_DATE_FORMAT = 'MMDDYYYY HH24:MI:SS';
create table schedule(
schedule_id NUMBER(4),
location_id number(4),
start_date DATE,
end_date DATE,
CONSTRAINT start_min check (start_date=trunc(start_date,'MI')),
CONSTRAINT end_min check (end_date=trunc(end_date,'MI')),
CONSTRAINT end_gt_start CHECK (end_date >= start_date),
CONSTRAINT same_day CHECK (TRUNC(end_date) = TRUNC(start_date))
);
CREATE TABLE locations AS
SELECT level AS location_id,
'Door ' || level AS location_name,
CASE. round(dbms_random.value(1,3))
WHEN 1 THEN 'A'
WHEN 2 THEN 'T'
WHEN 3 THEN 'G'
END AS location_type
FROM dual
CONNECT BY level <= 25;
with
row_every_5_mins as
( select trunc(sysdate) + (rownum-1)*5/1440 t_from,
trunc(sysdate) + rownum*5/1440 t_to
from dual
connect by level <= 1440/5
) SELECT * from row_every_5_mins;
Current output:
|T_FROM|T_TO|
|-----------------|-----------------|
|08162021 00:00:00|08162021 00:05:00|
|08162021 00:05:00|08162021 00:10:00|
|08162021 00:10:00|08162021 00:15:00|
|08162021 00:15:00|08162021 00:20:00|
…
Desired output
|T_FROM|T_TO|
|-----------------|-----------------|
|08162021 00:00:00|08162021 00:05:00|
|08162021 00:10:00|08162021 00:15:00|
|08162021 00:20:00|08162021 00:25:00|
…
You may avoid recursive query or loop, because you essentially need a row number of each row in locations
table. So you'll need to provide an appropriate sort order to the analytic function. Below is the query:
with a as ( select date '2021-01-01' + to_dsinterval('0 23:30:00') as start_dt_param from dual ) , date_gen as ( select location_id , start_dt_param , start_dt_param + (row_number() over(order by location_id) - 1) * interval '10' minute as start_dt , start_dt_param + (row_number() over(order by location_id) - 1) * interval '10' minute + interval '5' minute as end_dt from a cross join locations ) select location_id , start_dt , end_dt from date_gen where end_dt < trunc(start_dt_param + 1)
LOCATION_ID | START_DT | END_DT ----------: | :------------------ | :------------------ 1 | 2021-01-01 23:30:00 | 2021-01-01 23:35:00 2 | 2021-01-01 23:40:00 | 2021-01-01 23:45:00 3 | 2021-01-01 23:50:00 | 2021-01-01 23:55:00
UPD:
Or if you wish a procedure, then it is even simpler. Because from 12c Oracle has fetch first
addition, and analytic function may be simplified to rownum
pseudocolumn:
create or replace procedure populate_schedule ( p_schedule_id in number , p_start_date in date ) as begin insert into schedule (schedule_id, location_id, start_date, end_date) select p_schedule_id , location_id , p_start_date + (rownum - 1) * interval '10' minute , p_start_date + (rownum - 1) * interval '10' minute + interval '5' minute from locations /*Put your order of location assignment here*/ order by location_id /*The number of 10-minute intervals before midnight from the first end_date*/ fetch first ((trunc(p_start_date + 1) - p_start_date + 1/24/60*5)*24*60/10) rows only ; commit; end; /
begin populate_schedule(1, timestamp '2020-01-01 23:37:00'); populate_schedule(2, timestamp '2020-01-01 23:35:00'); populate_schedule(3, timestamp '2020-01-01 23:33:00'); end;/
select * from schedule order by schedule_id, start_date
SCHEDULE_ID | LOCATION_ID | START_DATE | END_DATE ----------: | ----------: | :------------------ | :------------------ 1 | 1 | 2020-01-01 23:37:00 | 2020-01-01 23:42:00 1 | 2 | 2020-01-01 23:47:00 | 2020-01-01 23:52:00 2 | 1 | 2020-01-01 23:35:00 | 2020-01-01 23:40:00 2 | 2 | 2020-01-01 23:45:00 | 2020-01-01 23:50:00 2 | 3 | 2020-01-01 23:55:00 | 2020-01-02 00:00:00 3 | 1 | 2020-01-01 23:33:00 | 2020-01-01 23:38:00 3 | 2 | 2020-01-01 23:43:00 | 2020-01-01 23:48:00 3 | 3 | 2020-01-01 23:53:00 | 2020-01-01 23:58:00
db<>fiddle here