From the DB (Postgresql) I want to get the percentage per month (of all months) of stock items with a certain condition. So the total of the whole month is 100% and per condition it would be a percentage of that. I'm trying all kinds of 'partition by' queries, but i quite can't get it right.
In the example there would be an extra column and on each row there would be the percentage of that month. So the value for the new column for the first row it would be 25/506*100.
Right now I have and works is:
select to_char(created_at, 'YYYY-MM') as maand, count(si.id) as aantal,
case
when condition_id=1 then 'Nieuw'
when condition_id=2 then 'Als nieuw'
when condition_id=3 then 'Goed'
when condition_id=4 then 'Redelijk'
when condition_id=5 then 'Matig'
else 'Onbepaald'
end
from stock_items si
group by maand, condition_id
order by maand desc, condition_id asc
maand
aantal
case
new column
2022-01
25
Nieuw
25/506*100
2022-01
234
Als nieuw
234/506*100
2022-01
127
Goed
127/506*100
2022-01
16
Redelijk
16/506*100
2022-01
104
Matig
104/506*100
2021-12
456
Nieuw
other month
I hope it's all clear. Thanks!
I got what I wanted. To realise i want it a little different, but this is the answer to my question.
select
to_char(created_at, 'YYYY-MM') as maand,
count(id) as aantal,
round((count(id) / (sum(count(id)) over (partition by to_char(created_at, 'YYYY-MM'))) * 100), 2) as percentage,
case
when condition_id=1 then 'Nieuw'
when condition_id=2 then 'Als nieuw'
when condition_id=3 then 'Goed'
when condition_id=4 then 'Redelijk'
when condition_id=5 then 'Matig'
else 'Onbepaald'
end
from stock_items
group by maand, condition_id
order by maand desc, condition_id asc
just warp it with CTE.
with a as (
select to_char(created_at, 'YYYY-MM') as maand, count(si.id) as aantal,
case
when condition_id=1 then 'Nieuw'
when condition_id=2 then 'Als nieuw'
when condition_id=3 then 'Goed'
when condition_id=4 then 'Redelijk'
when condition_id=5 then 'Matig'
else 'Onbepaald'
end as case
from stock_items si
group by maand, condition_id
order by maand desc, condition_id asc)
select a.*, aantal * 100 / sum(aantal) over (PARTITION BY maand) as anntal_rate from a;
/* some characters so the edit is accepted */
I have an SSRS report that shows customer sales for the year and I have been asked to change it to the last 13 rolling months. I have changed my where clause to be:
WHERE (#First12Months.FirstSaleDate BETWEEN DATEADD(MM,-13,#ReportDate) AND (#ReportDate))
( #ReportDate is the last day of the month that needs to be displayed on the right of the matrix.)
This where clause pulls the correct data but it is still displaying in my monthsort order and I need to change this to the last 12 months so that the newest month is on the right and the oldest month is on the left. I cannot work out how to do the sort.
My old sort is MonthSort which gives each month a number where April is 1 through to March = 12:
CASE WHEN Month(#First12Months.FirstSaleDate)<=3 THEN MONTH(#First12Months.FirstSaleDate)+9 ELSE MONTH(#First12Months.FirstSaleDate)-3 END AS MonthSort
but of course this is now incorrect as I need the month from #ReportDate to be number 13 and each month before that chronologically to be 1 number less.
I found this post which is the only one that seems to come close to what I need but unfortunately I simply don't understand what it is saying.
Dynamic table/output each month for report
How do I tell the MonthSort column which number to allocate to the months to get the correct sort order for a rolling 13 months?
As your data is in rows and your SSRS displays it in columns you can do the following:
Add a sorting column to your sql query that uses an analytical function in order to give the (dense) rank of the month. That rank can then be used as a sorting criteria in SSRS.
Assuming your month column is called month, your query could look like this:
select t.*, dense_rank() over (order by month) rnk from t
That order could also be done descending like this:
select t.*, dense_rank() over (order by month desc) rnk from t
Let's have an example:
with t as (
select 2134 sales, cast('20190101' as date) month union all
select 3456 sales, cast('20190201' as date) month union all
select 234 sales, cast('20190301' as date) month union all
select 4567 sales, cast('20190401' as date) month union all
select 5678 sales, cast('20190501' as date) month union all
select 234 sales, cast('20190601' as date) month union all
select 756 sales, cast('20190701' as date) month union all
select 9 sales, cast('20190801' as date) month union all
select 24356134 sales, cast('20190901' as date) month union all
select 2456134 sales, cast('20191001' as date) month union all
select 234 sales, cast('20191101' as date) month union all
select 675 sales, cast('20191201' as date) month union all
select 86 sales, cast('20200101' as date) month union all
select 786 sales, cast('20200201' as date) month union all
select 715 sales, cast('20200301' as date) month union all
select 156 sales, cast('20200401' as date) month union all
select 123 sales, cast('20200501' as date) month union all
select 687 sales, cast('20200601' as date) month union all
select 45 sales, cast('20200701' as date) month
)
, t1 as (
select sales, month from t where t.month > dateadd(MONTH, -12, getdate())
)
select t1.*, DENSE_RANK() over (order by datefromparts(year(month), month([month]), 1)) rnk from t1
will return
I guess, your first query retrieving the data is correct. Changing the columns' order would have to be done in the SSRS report.
For sorting tablix (table elements in SSRS) have a look here
Posting my own answer:
I have managed to work out a formula that calculates a position number for each column to replace my MonthSort column:
select case when MONTH(saledate) BETWEEN MONTH(dateadd(mm,-11,#ReportDate)) AND 12 THEN((MONTH(saledate)+1)-MONTH(#ReportDate)+11) ELSE ((month(saledate)+1)+month(#ReportDate)+11) end as position,
from table
WHERE (saledate BETWEEN DATEADD(MM,-11,#ReportDate) AND (#ReportDate))
This doesn't quite give me what I wanted as I wanted 12 months but couldn't work out how to differentiate between the same month this year and the same month last year e.g. if the report date is 30/6/2020 then with a 12 month parameter it gives 2 June months (1 for each year 2019 and 2020) but places both of them in position 1 when June 2019 should be in position 1 and June 2020 should be in position 13. Works well with 11 months. If anyone can help with getting it to 12 months I would be grateful
I am posting another answer of my own because it is a different way of achieving what I needed as well as the simplest - I was making this issue far more complicated than it needed to be.
In my second effort I added an extra column called SaleYear using: YEAR(SaleDate). I already had a column for MONTH(SaleDate) that I was using in a case when to achieve the Apr to March sort.
I restricted the data within the SQL query to the last 13 months using a where clause:
WHERE (SaleDate BETWEEN DATEADD(MM,-13,#ReportDate) AND DATEADD(minute, - 1, #ReportDate + 1))
And in the SSRS report I added 'Year' as a parent column group to the 'Month' column group. In the column group I added sorting by Year and then by month.
Because I had already restricted the data in the sql query to the last 13 months I have the last 13 rolling months in the correct order.
This is the cleanest and most simplistic answer.
I am using SQL Server 2014. I have a table like this
create table revenue (id varchar(2), trasdate date, revenue int);
insert into revenue(id, trasdate, revenue)
values ('aa', '2018/09/01', 1234.5),
('aa' , '2018/08/04', 450),
('aa', '2018/07/03',500),
('aa', '2018/06/04',600),
('ab', '2018/09/01', 1234.5),
('ab' , '2018/08/04', 450),
('ab', '2018/07/03',500),
('ab', '2018/06/04',600),
('ab', '2018/05/03', 200),
('ab', '2018/04/02', 150),
('ab', '2018/03/01', 350),
('ab', '2018/02/05', 700),
('aa', '2018/01/07', 400)
;
I am preparing a SQL query to create a SSRS report. I want to calculate a past 3 month average for current and every past 3rd month with result like below. As we are in month of September right now. The result should show something like this:
**id Period Revenue_3Mon**
aa March-May 233
aa June-Aug 516
ab March-May 233
ab June-Aug 516
Though I can figure out about the Period column. I was mainly focussing on getting the Revenue_3Mon. So I initially tried with the below query after some googling. But this query throws an error as incorrect syntax near 'rows' and if I remove rows from the query then it throws an error as Incorrect syntax near the keyword 'between'. And incorrect syntax near i.
select i.id,i.mon,
avg([i.mon_revenue]) over (partition by i.id, i.mon order by [i.id],
[i.mon] rows between 3 preceding and 1 preceding row) as revenue_3mon --
-- using 3 preceding and 1 preceding row you exclude the current row
from (select a.id, month(a.trasdate) as mon,
sum(a.revenue) as mon_revenue
from revenue a
group by a.id, month(a.trasdate)) i
group by i.id, i.mon
order by i.id,i.mon;
After few efforts, I gave up on this query and came up with new solution which was a bit close to my expectation (after lots of trial and errors).
Declare #count as int;
declare #max as int;
set #count = 4
declare #temp as table (id varchar(2), monthoftrasdate int, revenue int,
[3monavg] int);
SET #MAX = (SELECT distinct MAX(a.ROWNUM) FROM (SELECT id, month(trasdate)
as mon, SUM(revenue) TotalRevenue,
-- sum(revenue) as mon_revenue,
ROW_NUMBER() OVER(PARTITION BY ID ORDER BY MONTH(TRASDATE)) AS ROWNUM
FROM revenue
GROUP BY ID, MONTH(TRASDATE)
) A GROUP BY A.ID);
while (#count <= #max )
begin
WITH CTE AS (
SELECT id, month(trasdate) as mon, SUM(revenue) TotalRevenue,
-- sum(revenue) as mon_revenue,
ROW_NUMBER() OVER(PARTITION BY ID ORDER BY MONTH(TRASDATE)) AS
ROWNUM
FROM revenue
GROUP BY ID, MONTH(TRASDATE)
)
insert into #temp
SELECT A.ID,A.MON, a.TotalRevenue
,( SELECT avg(b.TotalRevenue) as avgrev
FROM CTE B
WHERE B.ROWNUM BETWEEN A.ROWNUM-3 AND A.ROWNUM-1
AND A.ID = B.ID --AND A.mon = B.mon
--and b.ROWNUM < a.ROWNUM
and (a.mon > 3 and a.ROWNUM > 3)
GROUP BY B.id
) AS REVENUE_3MON
FROM CTE A
set #count = #count + 1
end
select distinct a.* from #temp a
The reason I had to use 'distinct' is because the query was showing duplicate records for every id and every month. So far the result shows like below
id MonthofTrasdate Revenue 3MonAvg
aa 1 400 NULL
aa 2 700 NULL
aa 3 350 NULL
aa 4 150 483
aa 5 200 400
aa 6 600 233
aa 7 500 316
aa 8 450 433
aa 9 1234 516
ab 1 400 NULL
ab 2 700 NULL
ab 3 350 NULL
ab 4 150 483
ab 5 200 400
ab 6 600 233
ab 7 500 316
ab 8 450 433
ab 9 1234 516
This pulls out past 3 month average for every month. But i will just manipulate the rest on SSRS the way i want it.
As currently my table has no data for previous year. This works for me showing the appropriate result for next couple of months for now. But my concern is when I have to show my boss for next year Jan, Feb and March then it should be able to pull also for these months as well like Oct-Dec (Previous year), Nov-Jan and Dec - Feb. I am struggling to figure out the proper way to put this in my query.
Can you please help me out with this query? And also let me know what is wrong with my former query.
Problems with your first attempt:
You enclosed some of the aliases and column names in square brackets like [i.mon_revenue]. There is no need for square brackets, but if you want to use them, you have to break them up at the dot: [i].[mon_revenue].
In your window function expression, there is one row too many (in the end).
Window functions are applied at the very end (after the rest of the respective query), so you also have to include i.mon_revenue in your GROUP BY clause of the outer query.
Knowing that the inner query will produce one row per id and mon, there will never be preceding rows in an id-mon partition. Therefore, you must not partition by both, but only by id.
To simplify the query after resolving the issues: ordering by a partition column generally makes no sense, and since - as already mentioned - the inner query returns unique id-mon combinations, you don't have to group by these in the outer query. Looking at that query, we see that the outer query just directly selects and uses the values from the inner query, which makes a separation in two queries unneccessary. So, in fact, you wanted to perform the following query, which will produce the rolling 3-month average (I added the monthly TotalRevenue as well):
SELECT id, MONTH(trasdate) AS mon, SUM(revenue) AS TotalRevenue,
AVG(SUM(revenue)) OVER (PARTITION BY id ORDER BY MONTH(trasdate) ROWS BETWEEN 3 PRECEDING AND 1 PRECEDING) AS revenue_3mon
FROM revenue
GROUP BY id, MONTH(trasdate)
ORDER BY id, MONTH(trasdate);
Suggestions on your second attempt:
When calculating the #MAX value, you rely on the fact that each id has revenues for the same number of months. Are you sure?
The code inside the WHILE loop does not depend on #count, so it will add the same data into the #temp table multiple times, which is probably the reason why you thought you needed a DISTINCT. Therfore: No need for the variables, no need for a loop and a #temp, no need for DISTINCT.
The conditions A.mon > 3 and A.rownum > 3 are redundant with your current data. In general, I guess, you don't want to explicitly excluse the months from January to March, so A.mon > 3 should be removed. A.rownum > 3 could be removed, too, unless you really don't want to see a 3-month average when there are only 2 preceding months or less.
As the subquery for the average is restricted to only one id, there's no need for a GROUP BY.
Since the ROW_NUMBER function doesn't care about gaps in the months, I suggest to use a different numbering function, for example DATEDIFF(month, MAX(trasdate), GETDATE()) AS mnum. Of course, the comparison in the WHERE clause of the subquery then has to be changed to B.mnum BETWEEN A.mnum+1 AND A.mnum+3.
So, your second attempt can be reduced to this, which will produce the same result as the above, at least with your sample data, where no gaps in the months exist:
WITH CTE AS (
SELECT id, MONTH(trasdate) AS mon, SUM(revenue) AS TotalRevenue,
DATEDIFF(month, MAX(trasdate), GETDATE()) AS mnum
FROM revenue
GROUP BY id, MONTH(trasdate)
)
SELECT id, mon, TotalRevenue
, (SELECT AVG(B.TotalRevenue)
FROM CTE B
WHERE B.mnum BETWEEN A.mnum+1 AND A.mnum+3
AND A.id = B.id
) AS revenue_3mon
FROM CTE A
ORDER BY id, mnum DESC;
Now, guess what, an expression like my mnum using DATEDIFF increases by one every month as we move to the past, regardless of a change of years, so this might be useful for grouping as well, whether you want to (or can?) use Window functions or not:
With OVER()
SELECT id, MONTH(MIN(trasdate)) AS mon, YEAR(MIN(trasdate)) AS yr, SUM(revenue) AS TotalRevenue,
AVG(SUM(revenue)) OVER (PARTITION BY id ORDER BY MIN(trasdate) ROWS BETWEEN 3 PRECEDING AND 1 PRECEDING) AS revenue_3mon
FROM revenue
GROUP BY id, DATEDIFF(month, trasdate, GETDATE())
ORDER BY id, DATEDIFF(month, trasdate, GETDATE()) DESC;
Without OVER()
WITH CTE AS (
SELECT id, MIN(trasdate) AS min_dt, SUM(revenue) AS TotalRevenue,
DATEDIFF(month, trasdate, GETDATE()) AS mnum
FROM revenue
GROUP BY id, DATEDIFF(month, trasdate, GETDATE())
)
SELECT id, MONTH(min_dt) AS mon, YEAR(min_dt) AS yr, TotalRevenue
, (SELECT AVG(B.TotalRevenue)
FROM CTE B
WHERE B.mnum BETWEEN A.mnum+1 AND A.mnum+3
AND A.id = B.id
) AS revenue_3mon
FROM CTE A
ORDER BY id, mnum DESC;
Both queries allow for retrieving the minimum and maximum date for each period (including month and year).
If you instead wanted what you originally posted under The result should show something like this (just grouping by previous 3-months intervals), you just would have to group your original revenue table by id and (DATEDIFF(month, trasdate, GETDATE())-1)/3 (filtering WHERE DATEDIFF(month, trasdate, GETDATE()) > 0). If so, this kind of grouping and aggregation could, of course, be done also by the Report Server.
I think this should do what you want:
select r.*,
avg(r.mon_revenue) over (partition by r.id
order by r.mon_min
rows between 3 preceding and 1 preceding row
) as revenue_3mon
-- using 3 preceding and 1 preceding row you exclude the current row
from (select r.id, month(r.trasdate) as mon,
min(r.trasdate) as mon_min,
sum(r.revenue) as mon_revenue
from revenue r
group by r.id, year(r.trasdate), month(r.trasdate)
) 4
order by r.id, r.mon, r.mon_min;
Notes:
I fixed the code so it recognizes years as well as dates.
The expression [i.mon_revenue] is not a valid column reference (in your case). You have no column with the name "i.mon_revenue" (with the . in the name).
I changed the column alias to r to match the table.
I added a date column for each month to make it easier to express the ordering.
The outer group by is not necessary.
There are several syntax errors in your code. This should give you what you need. The inner query is the important bit but hopefully this will be enough to get you on your way.
I switch our the temp table for variable and changed the revenue column to not be INT as you have decimal values in there but other than that your original sample table is unchanged
DECLARE #revenue table (id varchar(2), trasdate date, revenue float)
insert into #revenue(id, trasdate, revenue)
values ('aa', '2018/09/01', 1234.5),
('aa' , '2018/08/04', 450),
('aa', '2018/07/03',500),
('aa', '2018/06/04',600),
('ab', '2018/09/01', 1234.5),
('ab' , '2018/08/04', 450),
('ab', '2018/07/03',500),
('ab', '2018/06/04',600),
('ab', '2018/05/03', 200),
('ab', '2018/04/02', 150),
('ab', '2018/03/01', 350),
('ab', '2018/02/05', 700),
('aa', '2018/01/07', 400)
SELECT
*
FROM
(
SELECT
*
, MONTH(trasdate) as MonthNumber
, AVG(revenue) OVER (PARTITION BY id
ORDER BY
id
, MONTH(trasdate) ROWS BETWEEN 3 PRECEDING AND 1 PRECEDING) as ThreeMonthAvg
FROM #revenue
) a
WHERE MONTH(GETDATE()) - MonthNumber IN (0, 3, 6, 9)
This gives the following results
aa 2018-06-04 600 6 400
aa 2018-09-01 1234.5 9 516.666666666667
ab 2018-03-01 350 3 700
ab 2018-06-04 600 6 233.333333333333
ab 2018-09-01 1234.5 9 516.666666666667
I would like to insert subquery a date based on it day. Plus, each date can only be used four times. Once it reached fourth times, the fifth value will use another date of same day. In other word, use date of Monday of next week. Example, Monday with 6 JUNE 2016 to Monday with 13 JUNE 2016 (you may check the calendar).
I have a query of getting a list of date based on presentationdatestart and presentationdateend from presentation table:
select a.presentationid,
a.presentationday,
to_char (a.presentationdatestart + delta, 'DD-MM-YYYY', 'NLS_CALENDAR=GREGORIAN') list_date
from presentation a,
(select level - 1 as delta
from dual
connect by level - 1 <= (select max (presentationdateend - presentationdatestart)
from presentation))
where a.presentationdatestart + delta <= a.presentationdateend
and a.presentationday = to_char(a.presentationdatestart + delta, 'fmDay')
order by a.presentationdatestart + delta,
a.presentationid; --IMPORTANT!!!--
For example,
presentationday presentationdatestart presentationdateend
Monday 01-05-2016 04-06-2016
Tuesday 01-05-2016 04-06-2016
Wednesday 01-05-2016 04-06-2016
Thursday 01-05-2016 04-06-2016
The query result will list all possible dates between 01-05-2016 until 04-06-2016:
Monday 02-05-2016
Tuesday 03-05-2016
Wednesday 04-05-2016
Thursday 05-05-2016
....
Monday 30-05-2016
Tuesday 31-05-2016
Wednesday 01-06-2016
Thursday 02-06-2016 (20 rows)
This is my INSERT query :
insert into CSP600_SCHEDULE (studentID,
studentName,
projectTitle,
supervisorID,
supervisorName,
examinerID,
examinerName,
exavailableID,
availableday,
availablestart,
availableend,
availabledate)
select '2013816591',
'mong',
'abc',
'1004',
'Sue',
'1002',
'hazlifah',
2,
'Monday', //BASED ON THIS DAY
'12:00:00',
'2:00:00',
to_char (a.presentationdatestart + delta, 'DD-MM-YYYY', 'NLS_CALENDAR=GREGORIAN') list_date //FOR AVAILABLEDATE
from presentation a,
(select level - 1 as delta
from dual
connect by level - 1 <= (select max (presentationdateend - presentationdatestart)
from presentation))
where a.presentationdatestart + delta <= a.presentationdateend
and a.presentationday = to_char(a.presentationdatestart + delta, 'fmDay')
order by a.presentationdatestart + delta,
a.presentationid;
This query successfully added 20 rows because all possible dates were 20 rows. I would like modify the query to be able to insert based on availableDay and each date can only be used four times for each different studentID.
Possible outcome in CSP600_SCHEDULE (I am removing unrelated columns to ease readability):
StudentID StudentName availableDay availableDate
2013 abc Monday 01-05-2016
2014 def Monday 01-05-2016
2015 ghi Monday 01-05-2016
2016 klm Monday 01-05-2016
2010 nop Tuesday 02-05-2016
2017 qrs Tuesday 02-05-2016
2018 tuv Tuesday 02-05-2016
2019 wxy Tuesday 02-05-2016
.....
2039 rrr Monday 09-05-2016
.....
You may check the calendar :)
I think what you're asking for is to list your students and then batch them up in groups of 4 - each batch is then allocated to a date. Is that right?
In which case something like this should work (I'm using a list of tables as the student names just so I don't need to insert any data into a custom table) :
WITH students AS
(SELECT table_name
FROM all_tables
WHERE rownum < 100
)
SELECT
table_name
,SYSDATE + (CEIL(rownum/4) -1)
FROM
students
;
I hope that helps you
...okay, following your comments, I think this might be a better solution :
WITH students AS
(SELECT table_name student_name
FROM all_tables
WHERE rownum < 100
)
, dates AS
(SELECT TRUNC(sysdate) appointment_date from dual UNION
SELECT TRUNC(sysdate+2) from dual UNION
SELECT TRUNC(sysdate+4) from dual UNION
SELECT TRUNC(sysdate+6) from dual UNION
SELECT TRUNC(sysdate+8) from dual UNION
SELECT TRUNC(sysdate+10) from dual UNION
SELECT TRUNC(sysdate+12) from dual UNION
SELECT TRUNC(sysdate+14) from dual
)
SELECT
s.student_name
,d.appointment_date
FROM
--get a list of students each with a sequential row number, ordered by student name
(SELECT
student_name
,ROW_NUMBER() OVER (ORDER BY student_name) rn
FROM students
) s
--get a list of available dates with a sequential row number, ordered by date
,(SELECT
appointment_date
,ROW_NUMBER() OVER (ORDER BY appointment_date) rn
FROM dates
) d
WHERE 1=1
--allocate the first four students to date rownumber1, next four students to date rownumber 2...
AND CEIL(s.rn/4) = d.rn
;
I'm trying to query some transactional data to establish the CurrentProductionHours value for each Report at the end of each month.
Providing there has been a transaction for each report in each month, that's pretty straight-forward... I can use something along the lines of the code below to partition transactions by month and then pick out the rows where TransactionByMonth = 1 (effectively, the last transaction for each report each month).
SELECT
ReportId,
TransactionId,
CurrentProductionHours,
ROW_NUMBER() OVER (PARTITION BY [ReportId], [CalendarYear], [MonthOfYear]
ORDER BY TransactionTimestamp desc
) AS TransactionByMonth
FROM
tblSource
The problem that I have is that there will not necessarily be a transaction for every report every month... When that's the case, I need to carry forward the last known CurrentProductionHours value to the month which has no transaction as this indicates that there has been no change. Potentially, this value may need to be carried forward multiple times.
Source Data:
ReportId TransactionTimestamp CurrentProductionHours
1 2014-01-05 13:37:00 14.50
1 2014-01-20 09:15:00 15.00
1 2014-01-21 10:20:00 10.00
2 2014-01-22 09:43:00 22.00
1 2014-02-02 08:50:00 12.00
Target Results:
ReportId Month Year ProductionHours
1 1 2014 10.00
2 1 2014 22.00
1 2 2014 12.00
2 2 2014 22.00
I should also mention that I have a date table available, which can be referenced if required.
** UPDATE 05/03/2014 **
I now have query which is genertating results as shown in the example below but I'm left with islands of data (where a transaction existed in that month) and gaps in between... My question is still similar but in some ways a little more generic - What is the best way to fill gaps between data islands if you have the dataset below as a starting point?
ReportId Month Year ProductionHours
1 1 2014 10.00
1 2 2014 12.00
1 3 2014 NULL
2 1 2014 22.00
2 2 2014 NULL
2 3 2014 NULL
Any advice about how to tackle this would be greatly appreciated!
Try this:
;with a as
(
select dateadd(m, datediff(m, 0, min(TransactionTimestamp))+1,0) minTransactionTimestamp,
max(TransactionTimestamp) maxTransactionTimestamp from tblSource
), b as
(
select minTransactionTimestamp TT, maxTransactionTimestamp
from a
union all
select dateadd(m, 1, TT), maxTransactionTimestamp
from b
where tt < maxTransactionTimestamp
), c as
(
select distinct t.ReportId, b.TT from tblSource t
cross apply b
)
select c.ReportId,
month(dateadd(m, -1, c.TT)) Month,
year(dateadd(m, -1, c.TT)) Year,
x.CurrentProductionHours
from c
cross apply
(select top 1 CurrentProductionHours from tblSource
where TransactionTimestamp < c.TT
and ReportId = c.ReportId
order by TransactionTimestamp desc) x
A similar approach but using a cartesian to obtain all the combinations of report ids/months.
in the first step.
A second step adds to that cartesian the maximum timestamp from the source table where the month is less or equal to the month in the current row.
Finally it joins the source table to the temp table by report id/timestamp to obtain the latest source table row for every report id/month.
;
WITH allcombinations -- Cartesian (reportid X yearmonth)
AS ( SELECT reportid ,
yearmonth
FROM ( SELECT DISTINCT
reportid
FROM tblSource
) a
JOIN ( SELECT DISTINCT
DATEPART(yy, transactionTimestamp)
* 100 + DATEPART(MM,
transactionTimestamp) yearmonth
FROM tblSource
) b ON 1 = 1
),
maxdates --add correlated max timestamp where the month is less or equal to the month in current record
AS ( SELECT a.* ,
( SELECT MAX(transactionTimestamp)
FROM tblSource t
WHERE t.reportid = a.reportid
AND DATEPART(yy, t.transactionTimestamp)
* 100 + DATEPART(MM,
t.transactionTimestamp) <= a.yearmonth
) maxtstamp
FROM allcombinations a
)
-- join previous data to the source table by reportid and timestamp
SELECT distinct m.reportid ,
m.yearmonth ,
t.CurrentProductionHours
FROM maxdates m
JOIN tblSource t ON t.transactionTimestamp = m.maxtstamp and t.reportid=m.reportid
ORDER BY m.reportid ,
m.yearmonth