Add a day to a predefined date SQL Server 2008 R2 - sql

My question is very simple, I am making a query which I intend to make an insertion from two dates to a temp Table.
That is, 2020-04-01 00:00:00 and 20-04-01 23:59:00, hence the number of days you need increases.
I am doing it this way E.G:
DECLARE #StartDate DATETIME = '2020-04-01'
DECLARE #EndDate DATETIME = '2020-04-01'
SET #StartDate = #StartDate + '00:00:00'
SET #EndDate = #EndDate + '23:59:00'
WHILE (#StartDate <= #EndDate)
BEGIN
--Insert into a temp table
set #StartDate = DATEADD(DAY, 1, #StartDate);
set #EndDate = DATEADD(day, 1, #EndDate);
print #StartDate
print #EndDate
END;
, however it goes into a repetitive cycle and does not stop. Besides, it is not only respecting the increment of the day that I need.
Can someone help me with this please.
I want to get to this:
Initial date: 2020-04-01 00:00:00.
End Date: 2020-04-01 23:59:00.
Starting day increment 2020-04-02 00:00:00
End Date Increment: 2020-04-02 23:59:00.
My query is throwing this at me:
Apr 2 2020 12:00AM
Apr 2 2020 11:59PM
Apr 3 2020 12:00AM
Apr 3 2020 11:59PM
Apr 4 2020 12:00AM
Apr 4 2020 11:59PM
Apr 5 2020 12:00AM
Apr 5 2020 11:59PM
Apr 6 2020 12:00AM
Apr 6 2020 11:59PM
Apr 7 2020 12:00AM
Apr 7 2020 11:59PM
Apr 8 2020 12:00AM
Apr 8 2020 11:59PM
Apr 9 2020 12:00AM
Apr 9 2020 11:59PM
Apr 10 2020 12:00AM
Apr 10 2020 11:59PM
Apr 11 2020 12:00AM
Apr 11 2020 11:59PM
Apr 12 2020 12:00AM
Apr 12 2020 11:59PM
Apr 13 2020 12:00AM
Apr 13 2020 11:59PM
Apr 14 2020 12:00AM
Apr 14 2020 11:59PM
Apr 15 2020 12:00AM
Apr 15 2020 11:59PM
Apr 16 2020 12:00AM
Apr 16 2020 11:59PM
Apr 17 2020 12:00AM
Apr 17 2020 11:59PM
Apr 18 2020 12:00AM
Apr 18 2020 11:59PM
Apr 19 2020 12:00AM
Apr 19 2020 11:59PM
Apr 20 2020 12:00AM
Apr 20 2020 11:59PM
Apr 21 2020 12:00AM
Apr 21 2020 11:59PM
Apr 22 2020 12:00AM
Apr 22 2020 11:59PM
Apr 23 2020 12:00AM
Apr 23 2020 11:59PM
Apr 24 2020 12:00AM
Apr 24 2020 11:59PM
Apr 25 2020 12:00AM
Apr 25 2020 11:59PM
Apr 26 2020 12:00AM
Apr 26 2020 11:59PM
Apr 27 2020 12:00AM
Apr 27 2020 11:59PM
Apr 28 2020 12:00AM
Apr 28 2020 11:59PM
Apr 29 2020 12:00AM
Apr 29 2020 11:59PM
Apr 30 2020 12:00AM
Apr 30 2020 11:59PM
May 1 2020 12:00AM
May 1 2020 11:59PM
May 2 2020 12:00AM
May 2 2020 11:59PM
May 3 2020 12:00AM
May 3 2020 11:59PM
May 4 2020 12:00AM
May 4 2020 11:59PM
May 5 2020 12:00AM
May 5 2020 11:59PM
May 6 2020 12:00AM
May 6 2020 11:59PM
May 7 2020 12:00AM
May 7 2020 11:59PM
May 8 2020 12:00AM
May 8 2020 11:59PM
May 9 2020 12:00AM
May 9 2020 11:59PM
May 10 2020 12:00AM
May 10 2020 11:59PM
May 11 2020 12:00AM
May 11 2020 11:59PM
May 12 2020 12:00AM
May 12 2020 11:59PM
May 13 2020 12:00AM
May 13 2020 11:59PM
May 14 2020 12:00AM
May 14 2020 11:59PM
May 15 2020 12:00AM
May 15 2020 11:59PM
May 16 2020 12:00AM
May 16 2020 11:59PM
May 17 2020 12:00AM
May 17 2020 11:59PM
May 18 2020 12:00AM
May 18 2020 11:59PM
May 19 2020 12:00AM
May 19 2020 11:59PM
May 20 2020 12:00AM
May 20 2020 11:59PM
May 21 2020 12:00AM
May 21 2020 11:59PM
May 22 2020 12:00AM
May 22 2020 11:59PM
May 23 2020 12:00AM
May 23 2020 11:59PM
May 24 2020 12:00AM
May 24 2020 11:59PM
May 25 2020 12:00AM
May 25 2020 11:59PM
May 26 2020 12:00AM
May 26 2020 11:59PM
May 27 2020 12:00AM
May 27 2020 11:59PM
May 28 2020 12:00AM
May 28 2020 11:59PM
May 29 2020 12:00AM
May 29 2020 11:59PM
May 30 2020 12:00AM
May 30 2020 11:59PM
May 31 2020 12:00AM
May 31 2020 11:59PM
Jun 1 2020 12:00AM
Jun 1 2020 11:59PM
Jun 2 2020 12:00AM
Jun 2 2020 11:59PM
Jun 3 2020 12:00AM
Jun 3 2020 11:59PM
Jun 4 2020 12:00AM
Jun 4 2020 11:59PM
Jun 5 2020 12:00AM
Jun 5 2020 11:59PM
Jun 6 2020 12:00AM
Jun 6 2020 11:59PM
Jun 7 2020 12:00AM
Any suggestion?
Where is my mistake ?.
Thank you.


Use a recursive CTE:
DECLARE #StartDate DATETIME = '2020-04-01';
DECLARE #EndDate DATETIME = '2020-04-01';
with dates as (
select #startdate as startdate, dateadd(minute, -1, dateadd(day, 1, #startdate)) as enddate
union all
select dateadd(day, 1, startdate), dateadd(day, 1, enddate)
from dates
where startdate < #enddate
)
select *
from dates
option (maxrecursion 0);
Here is a db<>fiddle.

Related

SQL - SUM and grouping

I have a following table:
ITEM
Date
VALUE
START DATE
END DATE
1
01 Jan 2023
15
01 Jan 2023
02 Jan 2023
1
02 Jan 2023
20
02 Jan 2023
03 Jan 2023
1
03 Jan 2023
25
03 Jan 2023
04 Jan 2023
1
04 Jan 2023
40
04 Jan 2023
05 Jan 2023
2
01 Jan 2023
30
01 Jan 2023
02 Jan 2023
2
02 Jan 2023
20
02 Jan 2023
03 Jan 2023
2
03 Jan 2023
10
03 Jan 2023
04 Jan 2023
2
04 Jan 2023
40
04 Jan 2023
05 Jan 2023
From here I need to have calculated sum of all values for every given row/date that are within dates in Start and End Date columns (boundaries included), so it is grouped by item and per date.
ITEM
Date
VALUE_SUM
1
01 Jan 2023
35
1
02 Jan 2023
45
1
03 Jan 2023
65
1
04 Jan 2023
40
2
01 Jan 2023
50
2
02 Jan 2023
30
2
03 Jan 2023
50
2
04 Jan 2023
40
Thanks for your help!

A simple way is to use a correlated subquery to do the calculation:
select item, date,
(select sum(value) from table t2
where t2.item = t1.item
and t2.date between t1.start_date and t1.end_date)
from table t1

Assuming you are only working with one month of data - one option could be to extract the day value from each date and then sum up each value while grouping by day.
This can be done by firstly creating a new variable in your dataset to store the day value:
alter table dataset add day int;
Values can then be extracted:
update dataset set day=extract(day from date);
Then, it is a matter of grouping the values by day:
select day, sum(value) as value_sum from dataset group by day order by day;

Indexing Time in Redshift

i have a dataset with that has sales by month and a column for when an promotion happens for a number of products.
i want to index the months so that i can compare the different products over a pre and post 12m period easily
this is the data i have
Date
sales.
Promo?
Jan 21
100
Feb 21
110.
Mar 21
100.
apr 21
110.
may 21
90.
jun 21
100.
jul 21
120.
aug 21
140.
X
sep 21
100.
oct 21
90.
nov 21
100.
dec 21
120.
jan 22
110.
feb 22
100
this is what i want
can someone tell me how to do this in redshift?
Date
sales.
Promo?
month index
Jan 21
100
-7.
Feb 21
110.
-6
Mar 21
100.
-5
apr 21
110.
-4
may 21
90.
-3
jun 21
100.
-2
jul 21
120.
-1
aug 21
140.
X
0
sep 21
100.
1
oct 21
90.
2
nov 21
100.
3
dec 21
120.
4
jan 22
110.
5
feb 22
100
6

how to wite the date fuctionality for below output

I want the output like this for whole year:
Jan 01 - Jan 14 - 2021
Jan 15 - Jan 28 - 2021
Jan 29 - Feb 11 - 2021
Feb 12 - Feb 25 - 2021
Feb 26 - Mar 11 - 2021
Mar 12 - Mar 25 - 2021
Mar 26 - Apr 08 - 2021
Apr 09 - Apr 22 - 2021
Apr 22 - May 06 - 2021
May 07 - May 20 - 2021
May 21 - Jun 03 - 2021
Jun 04 - Jun 17 - 2021
Jun 18 - Jul 01 - 2021
Jul 02 - Jul 15 - 2021
Jul 16 - Jul 29 - 2021
Jul 30 - Aug 12 - 2021
Aug 13 - Aug 26 - 2021
Aug 27 - Sep 09 - 2021
Sep 10 - Sep 23 - 2021
Sep 24 - Oct 07 - 2021
Oct 08 - Oct 21 - 2021
Oct 22 - Nov 04 - 2021
Nov 05 - Nov 18 - 2021
Dec 19 - Dec 02 - 2021
Dec 03 - Dec 16 - 2021
Dec 17 - Dec 30 - 2021

One option uses generate_series():
select d.dt dt_start, d.dt + '13 days'::interval dt_end
from generate_series(
date_trunc('year', current_date),
date_trunc('year', current_date) + '1 year'::interval - '13 days'::interval,
'14 days'::interval
) d(dt)
order by dt_start

SELECT to_char(d, 'Mon DD - ')
|| to_char(d + INTERVAL '13 days', 'Mon DD - YYYY')
FROM generate_series(
TIMESTAMP '2021-01-01',
TIMESTAMP '2021-12-17',
INTERVAL '14 days'
) AS d;
?column?
------------------------
Jan 01 - Jan 14 - 2021
Jan 15 - Jan 28 - 2021
Jan 29 - Feb 11 - 2021
Feb 12 - Feb 25 - 2021
Feb 26 - Mar 11 - 2021
Mar 12 - Mar 25 - 2021
Mar 26 - Apr 08 - 2021
Apr 09 - Apr 22 - 2021
Apr 23 - May 06 - 2021
May 07 - May 20 - 2021
May 21 - Jun 03 - 2021
Jun 04 - Jun 17 - 2021
Jun 18 - Jul 01 - 2021
Jul 02 - Jul 15 - 2021
Jul 16 - Jul 29 - 2021
Jul 30 - Aug 12 - 2021
Aug 13 - Aug 26 - 2021
Aug 27 - Sep 09 - 2021
Sep 10 - Sep 23 - 2021
Sep 24 - Oct 07 - 2021
Oct 08 - Oct 21 - 2021
Oct 22 - Nov 04 - 2021
Nov 05 - Nov 18 - 2021
Nov 19 - Dec 02 - 2021
Dec 03 - Dec 16 - 2021
Dec 17 - Dec 30 - 2021
(26 rows)

How to get the data in decline pattern/trending using Oracle SQL?

How can I get the result only for those monthly data in decline pattern/trending ?
And the data as below;
ID JAN FEB MAR APR MAY JUN
112 50 45 40 35 30 20
113 30 30 30 30 30 30
114 20 25 20 20 20 20
115 45 50 60 60 30 30
Expected output ;
ID JAN FEB MAR APR MAY JUN
112 50 45 40 35 30 20
115 45 50 60 60 30 30
Thanks !

SELECT *
FROM your_table
WHERE JAN > JUN
or
SELECT *
FROM your_table
WHERE JAN > FEB
AND FEB > MAR
AND MAR > APR
AND APR > MAY
AND MAY > JUN

It appears that what you're looking for is
SELECT *
FROM SOME_TABLE
WHERE JAN > FEB OR
FEB > MAR OR
MAR > APR OR
APR > MAY OR
MAY > JUN
Best of luck.

Split data datetime wise in SQL Server

I have a requirement to group the data day-wise from 8:00 AM today to 7:59 AM the next day as 1 full day.
For example from the below table:
SoldDatetime Qty
Dec 20,2015 12:05 AM 1
Dec 20,2015 1:05 AM 2
Dec 20,2015 7:05 AM 3
Dec 20,2015 8:05 AM 4
Dec 20,2015 10:05 AM 5
Dec 20,2015 11:05 PM 6
Dec 21,2015 12:05 AM 7
Dec 21,2015 1:05 AM 8
Dec 21,2015 7:05 AM 9
Dec 21,2015 8:05 AM 10
Dec 21,2015 10:05 AM 11
Dec 21,2015 11:05 PM 12
Dec 22,2015 12:05 AM 13
Dec 22,2015 1:05 AM 14
Dec 22,2015 7:05 AM 15
Dec 22,2015 8:05 AM 16
Dec 22,2015 10:05 AM 17
Dec 22,2015 11:05 PM 18
Dec 23,2015 12:05 AM 19
Dec 23,2015 1:05 AM 20
Dec 23,2015 7:05 AM 21
Dec 23,2015 8:05 AM 22
Dec 23,2015 10:05 AM 23
Dec 23,2015 11:05 PM 24
Dec 24,2015 12:05 AM 25
Dec 24,2015 1:05 AM 26
Dec 24,2015 7:05 AM 27
Dec 24,2015 8:05 AM 28
Dec 24,2015 10:05 AM 29
Dec 24,2015 11:05 PM 30
Dec 25,2015 12:05 AM 31
Dec 25,2015 1:05 AM 32
Dec 25,2015 7:05 AM 33
Dec 25,2015 8:05 AM 34
Dec 25,2015 10:05 AM 35
Dec 25,2015 11:05 PM 36
If I have to run a query to filter for date range Dec 21,2015 8:00 AM to Dec 25,2015 7:59 AM. I need the output in below format
SoldDateRange Qty
Dec 20,2015 8:00 AM - Dec 21,2015 7:59AM 39
Dec 21,2015 8:00 AM - Dec 22,2015 7:59AM 75
Dec 22,2015 8:00 AM - Dec 23,2015 7:59AM 111
Dec 23,2015 8:00 AM - Dec 24,2015 7:59AM 147
Dec 24,2015 8:00 AM - Dec 25,2015 7:59AM 183
Can someone help with the SQL query for this? Thanks in advance

Here is a query which should give you the full output you mentioned in your original question.
SELECT CONCAT(CONVERT(VARCHAR, t.adjustedTime, 107), ' 8:00 AM',
' - ',
CONVERT(VARCHAR, DATEADD(DAY, 1, t.adjustedTime), 107), ' 7:59AM'),
t.Qty
FROM
(
SELECT CAST(DATEADD(HOUR, -8, SoldDateTime) AS DATE) AS adjustedTime, SUM(Qty) AS Qty
FROM yourTable
GROUP BY CAST(DATEADD(HOUR, -8, SoldDateTime) AS DATE)
) t
ORDER BY t.adjustedTime

You can do this by subtracting 8 hours. The basic idea is:
select cast(dateadd(hour, -8, solddaterange) as date) as SoldDate, sum(qty)
from t
group by cast(dateadd(hour, -8, solddaterange) as date)
order by SoldDate;
EDIT:
You could use the same idea. For instance:
where cast(dateadd(hour, -8, solddaterange) as date) = '2016-01-01'