I have a table
DATE Val
01-01-2020 1
01-02-2020 3
01-05-2020 2
01-07-2020 8
01-13-2020 3
...
I want to summarize these values by the following Sunday. For example, in the above example:
1-05-2020, 1-12-2020, and 1-19-2020 are Sundays, so I want to summarize these by those dates.
The final result should be something like
DATE SUM
1-05-2020 6 //(01-01-2020 + 01-02-2020 + 01-05-2020)
1-12-2020 8
1-19-2020 3
I wasn't certain if the best place to start would be to create a temp calendar table, and then try to join backwards based on that? Or if there was an easier way involving DATEDIFF. Any help would be appreciated! Thanks!
Here's a solution that uses DATEADD & DATEPART to calculate the closest Sunday.
With a correction for a different setting of ##datefirst.
(Since the datepart weekday values are different depending on the DATEFIRST setting)
Sample data:
create table #TestTable
(
Id int identity(1,1) primary key,
[Date] date,
Val int
);
insert into #TestTable
([Date], Val)
VALUES
('2020-01-01', 1)
, ('2020-01-02', 3)
, ('2020-01-05', 2)
, ('2020-01-07', 8)
, ('2020-01-13', 3)
;
Query:
WITH CTE_DATA AS
(
SELECT [Date], Val
, DATEADD(day,
((7-(##datefirst+datepart(weekday, [Date])-1)%7)%7),
[Date]) AS Sunday
FROM #TestTable
)
SELECT
Sunday AS [Date],
SUM(Val) AS [Sum]
FROM CTE_DATA
GROUP BY Sunday
ORDER BY Sunday;
Date | Sum
:--------- | --:
2020-01-05 | 6
2020-01-12 | 8
2020-01-19 | 3
db<>fiddle here
Extra:
Apparently the trick of adding the difference of weeks from day 0 to day 6 also works independently from the DATEFIRST setting.
So this query will return the same result for the sample data.
WITH CTE_DATA AS
(
SELECT [Date], Val
, CAST(DATEADD(week, DATEDIFF(week, 0, DATEADD(day, -1, [Date])), 6) AS DATE) AS Sunday
FROM #TestTable
)
SELECT
Sunday AS [Date],
SUM(Val) AS [Sum]
FROM CTE_DATA
GROUP BY Sunday
ORDER BY Sunday;
The subtraction of 1 day makes sure that if the date is already a Sunday that it isn't calculated to the next Sunday.
Here is a way to do it:
nb:1-13-2020 wont show cuz its not a sunday
with cte as
(
select cast('01-01-2020'as Date) as Date, 1 as Val
union select '01-02-2020' , 3
union select '01-05-2020' , 2
union select '01-07-2020' , 8
)
select Date, max(dateadd(dd,number,Date)), sum(distinct Val) as SUM
from master..spt_values a inner join cte on Date <= dateadd(dd,number,Date)
where type = 'p'
and year(dateadd(dd,number,Date))=year(Date)
and DATEPART(dw,dateadd(dd,number,Date)) = 7
group by Date
Output:
Date (No column name) SUM
2020-01-01 2020-12-26 1
2020-01-02 2020-12-26 3
2020-01-05 2020-12-26 2
2020-01-07 2020-12-26 8
Here is a simple solution. Putting your values into a temporary table and viewing the results on that table:
DECLARE #dates TABLE
(
mDATE DATE,
Val INT,
Sunday DATE
)
INSERT INTO #dates (mDATE,Val) VALUES
('01-01-2020',1),('01-02-2020',3),('01-05-2020',2),('01-07-2020',8),('01-13-2020',3)
UPDATE #dates
SET Sunday = dateadd(week, datediff(week, 0, mDATE), 6)
SELECT Sunday,SUM(Val) AS Val FROM #dates
GROUP BY Sunday
OUTPUT:
Sunday Val
2020-01-05 4
2020-01-12 10
2020-01-19 3
Related
Have a table with this
Id
StartDate
NoOfMonths
1
2021-09-01
2
2
2021-09-01
3
And want a query to return this
Id
Date
1
2021-09-01
1
2021-10-01
2
2021-09-01
2
2021-10-01
2
2021-11-01
How can I make this happen?
Here is an example without an additional table:
DECLARE #t TABLE(
ID int
, StartDate date
, NoOfMonths int
)
INSERT INTO #t VALUES
(1, '2021-09-01', 2)
,(2, '2021-09-01', 3);
WITH cte AS(
SELECT ID, StartDate, NoOfMonths
FROM #t
UNION ALL
SELECT ID, DATEADD(MONTH, 1, StartDate), NoOfMonths-1
FROM cte
WHERE NoOfMonths > 1
)
SELECT ID, StartDate
FROM cte
ORDER BY ID, StartDate
This could be solved by having an additional calendar table, which would be populated and maintained by you. The content of the table could be just dates (first days of months). Then you would join records from that calendar table with your original table using DATEADD() function if it's MS SQL server. So something like:
select DateMonth
from CalendarTable ct
inner join YourTable yt
on ct.DateMonth between yt.StartDate and DATEADD (MONTH, yt.NoOfMonths, yt.StartDate)
I want to split quarters based on a given start and end date.
I have the following table:
table1
ID
start_date
end_date
No. of Quarters
1
01-01-2017
01-01-2018
4
2
01-04-2017
01-10-2018
7
So the result table should be have dates split based on number of quarters and end date.
The result table should look like:
table2
ID
Quarterly Start Date
1
01-01-2017
1
01-04-2017
1
01-07-2017
1
01-10-2017
2
01-04-2017
2
01-07-2017
2
01-10-2017
2
01-01-2018
2
01-04-2018
2
01-07-2018
2
01-10-2018
I found a solution on stackoverflow which states
declare #startDate datetime
declare #endDate datetime
select
#startDate= ET.start_date,
#endDate= ET.end_date
from
table1
;With cte
As
( Select #startDate date1
Union All
Select DateAdd(Month,3,date1) From cte where date1 < #endDate
) select cast(cast( Year(date1)*10000 + MONTH(date1)*100 + 1 as
varchar(255)) as date) quarterlyDates From cte
Since I am new to sql, I am having troubles customizing it to my problem.
Could anyone please recommend a way? Thanks!
If I understand correctly, the recursive CTE would look like:
with cte as (
select id, start_date, num_quarters
from t
union all
select id, dateadd(month, 3, start_date), num_quarters - 1
from cte
where num_quarters > 1
)
select *
from cte;
Here is a db<>fiddle.
I have a table, with types int, datetime, datetime:
id start date end date
-- ---------- ----------
1 2019-04-02 2020-09-17
2 2019-08-10 2020-08-10
Here is create/insert:
CREATE TABLE dbo.something
(
id int,
[start date] datetime,
[end date] datetime
);
INSERT dbo.something(id,[start date],[end date])
VALUES(1,'20190402','20200917'),(2,'20190810','20200810');
What is a SQL query that can produce these results:
id Year Quarter
-- ---- ----------
1 2019 2
1 2019 3
1 2019 4
1 2020 1
1 2020 2
1 2020 3
2 2019 3
2 2019 4
2 2020 1
2 2020 2
2 2020 3
Just use a recursive CTE. This version switches to counting quarters from year 0:
with cte as (
select id,
year(start_date) * 4 + datepart(quarter, start_date) - 1 as yyyyq,
year(end_date) * 4 + datepart(quarter, end_date) - 1 as end_yyyyq
from t
union all
select id, yyyyq + 1, end_yyyyq
from cte
where yyyyq < end_yyyyq
)
select id, yyyyq / 4 as year, (yyyyq % 4) + 1 as quarter
from cte;
Here is a db<>fiddle.
If you cannot make another reference table/etc, you can use DATEDIFF (and DATEPART) using quarters, and then some simple date arithmetic.
The logic below is simply to find, for each startdate, the first quarter and then the number of additional quarters to get to the maximum. Then do a SELECT where the additional quarters are added to the startdate, to get each quarter.
The hardest part of the query to understand imo is the WITH numberlist section - all this does is generate a series of integers between 0 and the maximum number of quarters difference. If you already have a numbers table, you can use that instead.
Key code part is below, and here's a full DB_Fiddle with some additional test data.
CREATE TABLE #yourtable (id int, startdate date, enddate date)
INSERT INTO #yourtable (id, startdate, enddate) VALUES
(1, '2019-04-02', '2020-09-17'),
(2, '2019-08-10', '2020-08-20')
; WITH number_list AS
-- list of ints from 0 to maximum number of quarters
(SELECT n
FROM (SELECT ones.n + 10*tens.n AS n
FROM (VALUES(0),(1),(2),(3),(4),(5),(6),(7),(8),(9)) ones(n),
(VALUES(0),(1),(2),(3),(4),(5),(6),(7),(8),(9)) tens(n)
) AS a
WHERE n <= (SELECT MAX(DATEDIFF(quarter,startdate,enddate)) FROM #yourtable)
)
SELECT id,
YEAR(DATEADD(quarter, number_list.n, startdate)) AS [Year],
DATEPART(quarter, DATEADD(quarter, number_list.n, startdate)) AS [Quarter]
FROM (SELECT id, startdate, DATEDIFF(quarter,startdate,enddate) AS num_additional_quarters FROM #yourtable) yt
CROSS JOIN number_list
WHERE number_list.n <= yt.num_additional_quarters
DROP TABLE #yourtable
First create a date dimension table which contains date, corresponding quarter and year. Then use below query to get the result. Tweak column and table name according to your schema.
with q_date as
(
select 1 as id, '2019-04-02' :: date as start_date, '2020-09-17' :: date as end_date
UNION ALL
select 2 as id, '2019-08-10' :: date as start_date, '2020-08-10' :: date as end_date
)
select qd.id, dd.calendar_year, dd.calendar_quarter_number
from dim_date dd, q_date qd
where dd.date_dmk between qd.start_date and qd.end_date
group by qd.id, dd.calendar_year, dd.calendar_quarter_number
order by qd.id, dd.calendar_year, dd.calendar_quarter_number;
[EDITED TO SIMPLIFY]
I have 500+ records. All of which have a reference number, a start date, an end date and a total machining time.
Ref StartDate EndDate MachineTimeHours
123 24/01/2020 30/01/2020 28
321 25/02/2020 27/02/2020 18
Starting at the start date, I need to calculate how many machining hours fall into 1 week and how many fall into the next.
Our working days are Monday to Thursday 8 Hours & Friday 4 Hours.
Ref 321 has a start of 25/2 which is a Tuesday and a finish date of 27/2 which is a Thursday in the same week. This will calculate as all 18 hours being in the same week.
Ref 123 has a start of 24/01. This is a Friday in Week 4 of 2020.
Based on my rules, that would be 4 hours in week 4 and 24 Hours in week 5.
I have a table called 'DatesList' which has all days on it (as well as week number and working hours).
I need my table to list each record for each week and I'll do the grouping on a separate report.
In effect I'd like
Ref StartDate EndDate MachineTimeHours Week Hours
123 24/01/2020 30/01/2020 28 4 4
123 24/01/2020 30/01/2020 28 5 24
321 25/02/2020 27/02/2020 18 9 18
You can start with creating some reference tables.
For the example those are just temporary tables.
Reference data:
--
-- Reference tables
--
CREATE TABLE #ref_calendar
(
CalDate DATE PRIMARY KEY,
DayOfWeek SMALLINT NOT NULL,
WeekNr SMALLINT NOT NULL,
IsHoliday BIT NOT NULL DEFAULT 0
);
DECLARE #year int = 2020;
SET DATEFIRST 1; -- 1: monday start
;WITH RCTE_DATES AS
(
SELECT
DATEFROMPARTS(#year, 1, 1) AS caldate
UNION ALL
SELECT dateadd(day, 1, caldate)
FROM RCTE_DATES
WHERE caldate <= DATEFROMPARTS(#year, 12, 31)
)
INSERT INTO #ref_calendar (CalDate, DayOfWeek, WeekNr)
SELECT
caldate,
DATEPART(weekday, caldate) AS DayOfWeek,
DATEPART(week, caldate) AS WeekNr
FROM rcte_dates c
WHERE NOT EXISTS
(
SELECT 1
FROM #ref_calendar ref
WHERE ref.CalDate = c.caldate
)
OPTION (MAXRECURSION 366);
CREATE TABLE #ref_workhours
(
Id INT IDENTITY(1,1) PRIMARY KEY,
DayOfWeek SMALLINT NOT NULL,
WorkHours DECIMAL(4,2) NOT NULL,
ActiveFrom DATE NOT NULL DEFAULT GetDate(),
ActiveTill DATE
);
INSERT INTO #ref_workhours
(DayOfWeek, WorkHours) VALUES
(1, 8.0), (2, 8.0), (3, 8.0), (4, 8.0), (5, 4.0),
(6, 0), (7, 0);
Some sample data:
--
-- Sample data
--
CREATE TABLE YourDateRangeTable
(
Id INT IDENTITY(1,1) PRIMARY KEY,
JobNumber INT NOT NULL,
PartNumber VARCHAR(8) NOT NULL,
Machine CHAR(3) NOT NULL,
StartDate DATE NOT NULL,
EndDate DATE NOT NULL
);
INSERT INTO YourDateRangeTable
(JobNumber, PartNumber, Machine, StartDate, EndDate) values
(12345, 'XYZ321', 'DL8', '2020-01-24', '2020-01-30');
Then you can run a query that uses the reference tables.
SELECT JobNumber, PartNumber, Machine
, YEAR(cal.CalDate) AS [Year]
, cal.WeekNr AS [Week]
, SUM(w.WorkHours) AS [Hours]
FROM YourDateRangeTable t
JOIN #ref_calendar cal
ON cal.CalDate >= t.StartDate
AND cal.CalDate < t.EndDate
JOIN #ref_workhours w
ON w.DayOfWeek = cal.DayOfWeek
GROUP BY JobNumber, PartNumber, Machine
, YEAR(cal.CalDate), cal.WeekNr;
Returns:
JobNumber PartNumber Machine Year Week Hours
12345 XYZ321 DL8 2020 4 4.00
12345 XYZ321 DL8 2020 5 24.00
A test on db<>fiddle here
You can get all the detes of two given date and also weeknumber and a case statement for the working hour. Based on the result from the inner query write an outer query which will give the sum of total working hour.
Here is the given query.
DECLARE #MinDate DATE = '20200124',
#MaxDate DATE = '20200130'
--Fri Week 4 = 4 hours
--Mon Week 5 = 8 hours
--Tue Week 5 = 8 hours
--Wed Week 5 = 8 hours
Select WeekNo, SUM(WorkingHour) as TotalWorkingHour from(
Select [DATE], DATEPART(WEEK, [DATE]) - DATEPART(WEEK, DATEADD(MM, DATEDIFF(MM,0,[DATE]), 0))+ 1 as WeekNo,
DATENAME(weekday, [DATE]) as WeekDay, Case DATENAME(weekday, [DATE])
when 'Friday' then 4
when 'Monday' then 8
when 'Tuesday' then 8
when 'Wednesday' then 8
else 0
end as WorkingHour from(
SELECT TOP (DATEDIFF(DAY, #MinDate, #MaxDate) + 1)
Date = DATEADD(DAY, ROW_NUMBER() OVER(ORDER BY a.object_id) - 1, #MinDate)
FROM sys.all_objects a
CROSS JOIN sys.all_objects b
)a
)b group by WeekNo
It will give the result as below:
WeekNo TotalWorkingHour
------------------------
4 4
5 24
You can find the demo Here.
My data looks something like this
ProductNumber | YearMonth | Number
1 201803 1
1 201804 3
1 201810 6
2 201807 -3
2 201809 5
Now what I want to have is add an additional entry "6MSum" which is the sum of the last 6 months per ProductNumber (not the last 6 entries).
Please be aware the YearMonth data is not complete, for every ProductNumber there are gaps in between so I cant just use the last 6 entries for the sum. The final result should look something like this.
ProductNumber | YearMonth | Number | 6MSum
1 201803 1 1
1 201804 3 4
1 201810 6 9
2 201807 -3 -3
2 201809 5 2
Additionally I don't want to insert the sum to the table but instead use it in a query like:
SELECT [ProductNumber],[YearMonth],[Number],
6MSum = CONVERT(INT,SUM...)
FROM ...
I found a lot off solutions that use a "sum over period" but only for the last X entries and not for the actual conditional statement of "YearMonth within last 6 months".
Any help would be much appreciated!
Its a SQL Database
EDIT/Answer
It seems to be the case that the gaps within the months have to be filled with data, afterwards something like
sum(Number) OVER (PARTITION BY category
ORDER BY year, week
ROWS 6 PRECEDING) AS 6MSum
Should work.
Reference to the solution : https://dba.stackexchange.com/questions/181773/sum-of-previous-n-number-of-columns-based-on-some-category
You could go the OUTER APPLY route. The following produces your required results exactly:
-- prep data
SELECT
ProductNumber , YearMonth , Number
into #t
FROM ( values
(1, 201803 , 1 ),
(1, 201804 , 3 ),
(1, 201810 , 6 ),
(2, 201807 , -3 ),
(2, 201809 , 5 )
) s (ProductNumber , YearMonth , Number)
-- output
SELECT
ProductNumber
,YearMonth
,Number
,[6MSum]
FROM #t t
outer apply (
SELECT
sum(number) as [6MSum]
FROM #t it
where
it.ProductNumber = t.ProductNumber
and it.yearmonth <= t.yearmonth
and t.yearmonth - it.yearmonth between 0 and 6
) tt
drop table #t
Use outer apply and convert yearmonth to a date, something like this:
with t as (
select t.*,
convert(date, convert(varchar(255), yearmonth) + '01')) as ymd
from yourtable t
)
select t.*, t2.sum_6m
from t outer apply
(select sum(t2.number) as sum_6m
from t t2
where t2.productnumber = t.productnumber and
t2.ymd <= t.ymd and
t2.ymd > dateadd(month, -6, ymd)
) t2;
Just to provide one more option. You can use DATEFROMPARTS to build valid dates from the YearMonth value and then search for values within date ranges.
Testable here: https://rextester.com/APJJ99843
SELECT
ProductNumber , YearMonth , Number
INTO #t
FROM ( values
(1, 201803 , 1 ),
(1, 201804 , 3 ),
(1, 201810 , 6 ),
(2, 201807 , -3 ),
(2, 201809 , 5 )
) s (ProductNumber , YearMonth , Number)
SELECT *
,[6MSum] = (SELECT SUM(number) FROM #t WHERE
ProductNumber = t.ProductNumber
AND DATEFROMPARTS(LEFT(YearMonth,4),RIGHT(YearMonth,2),1) --Build a valid start of month date
BETWEEN
DATEADD(MONTH,-6,DATEFROMPARTS(LEFT(t.YearMonth,4),RIGHT(t.YearMonth,2),1)) --Build a valid start of month date 6 months back
AND DATEFROMPARTS(LEFT(t.YearMonth,4),RIGHT(t.YearMonth,2),1)) --Build a valid end of month date
FROM #t t
DROP TABLE #t
So a working query (provided by a colleauge of mine) can look like this
SELECT [YearMonth]
,[Number]
,[ProductNumber]
, (Select Sum(Number) from [...] DPDS_1 where DPDS.ProductNumber =
DPDS_1.ProductNumber and DPDS_1.YearMonth <= DPDS.YearMonth and DPDS_1.YearMonth >=
convert (int, left (convert (varchar, dateadd(mm, -6, DPDS.YearMonth + '01'), 112),
6)))FROM [...] DPDS