I need to create a query that will allow me to determine the average payment delay per customer and I will hate to update that query each week.
Therefore I already calculated the delay with the date of the document and the date of the payment.
What I need to do know is to have a graph that will show the average of these delays per week but taking into account the previous weeks:
Week 1: average of delays from week 1
Week 2: average of delays from week 1 to week 2
Week 3: average of delays from week 1 to week 3
and so on.
Today, we are week 11 so next week, I will need to have the result of week 12 automatically in my graph.
I already tried a graph using "Running Total in" in the settings of the pivot table
but this result shows on:
Which is not helping because it's making a sum of the delays...
Here is how my code looks like:
SELECT ch.HDOCNO,
ch.HDOCDATE,
ch.HYEAR,
week(ch.HDOCDATE)-1 as "Week",
ch.HMDATE as "Payment date",
AVG(ch.HMDATE-ch.HDOCDATE) as "Delay"
from AC_CHISTO ch
where ch.HFYEAR = '2016'
and ch.HMDATE IS NOT NULL
and UPPER(ch.HDBK) = 'VEN'
GROUP BY ch.HDOCNO, ch.HDOCDATE, ch.HYEAR, ch.HMDATE
Here is an example of the data that I need to use:
The "date" table that Steve mentions is a fairly straightforward way to solve this problem. The basic premise is to use a pre-computed table to store all possible weeks, making it easy for you to aggregate your results over valid weeks. I've included comments in the code below to identify the different parts that I had to include just to return some example results using the data you provided.
--Create table to store source data (not part of a final solution, only needed in this case to return example data).
DECLARE #AC_CHISTO TABLE
(
HDOCNO int,
HDOCDATE datetime,
HYEAR varchar(4),
HMDATE datetime,
HDBK varchar(3)
)
INSERT INTO #AC_CHISTO
SELECT 610474, '02/26/2016', '2016', '03/02/2016', 'VEN'
UNION ALL
SELECT 611727, '03/04/2016', '2016', '03/11/2016', 'VEN'
UNION ALL
SELECT 611728, '03/04/2016', '2016', '03/09/2016', 'VEN'
UNION ALL
SELECT 6133119, '03/11/2016', '2016', '03/15/2016', 'VEN'
UNION ALL
SELECT 613120, '03/11/2016', '2016', '03/15/2016', 'VEN'
UNION ALL
SELECT 601019, '01/07/2016', '2016', '01/29/2016', 'VEN'
UNION ALL
SELECT 603591, '01/21/2016', '2016', '02/29/2016', 'VEN'
UNION ALL
SELECT 600195, '01/04/2016', '2016', '01/21/2016', 'VEN'
UNION ALL
SELECT 600732, '01/06/2016', '2016', '01/21/2016', 'VEN'
UNION ALL
SELECT 601921, '01/13/2016', '2016', '01/28/2016', 'VEN'
UNION ALL
SELECT 602561, '01/18/2016', '2016', '01/28/2016', 'VEN'
UNION ALL
SELECT 603451, '01/21/2016', '2016', '02/11/2016', 'VEN'
--A table containing all weeks. In the final solution, this should be a real table prepopulated with 1 through 52, rather than a table variable.
DECLARE #AllWeeks TABLE
(
[Week] int
)
INSERT INTO #AllWeeks
SELECT 1 UNION ALL SELECT 2 UNION ALL SELECT 3 UNION ALL SELECT 4 UNION ALL SELECT 5 UNION ALL SELECT 6 UNION ALL SELECT 7 UNION ALL SELECT 8 UNION ALL SELECT 9 UNION ALL SELECT 10 UNION ALL SELECT 11 UNION ALL SELECT 12 UNION ALL SELECT 13 UNION ALL SELECT 14 UNION ALL SELECT 15
--The actual solution begins here.
DECLARE #MaxWeek int
SELECT #MaxWeek = MAX(DATEPART(WK, ch.HDOCDATE)-1) FROM #AC_CHISTO ch
SELECT
aw.[Week],
AVG(results.[Delay]) AS AvgDelay
FROM #AllWeeks aw
INNER JOIN
(
SELECT ch.HDOCNO,
ch.HDOCDATE,
ch.HYEAR,
DATEPART(WK, ch.HDOCDATE)-1 as "Week",
ch.HMDATE as "PaymentDate",
DATEDIFF(DD, ch.HDOCDATE, ch.HMDATE) as "Delay"
FROM #AC_CHISTO ch
WHERE ch.HYEAR = '2016'
and ch.HMDATE IS NOT NULL
and UPPER(ch.HDBK) = 'VEN'
) results
ON aw.[Week] >= results.[Week]
WHERE aw.[Week] <= #MaxWeek
GROUP BY
aw.[Week]
Related
I have the following table structure available in the C:
I am struggling in Snowflake with a query that should show me the the sum of previous 12 months for every distinct month in the table split into three dimensions .
The way reporting date 01.08.2022 for region='US' and type=1 is calculated: it is the sum of the past 12 months' row of "revenue_12_months" = 4000+ 45433+45777+ 8866+ 4000+ 6678+ 2456+ 6677+ 6677+ 7744+ 6775 + 7755
WITH
indata(dt,region,type,revenue) AS (
SELECT DATE '2021-04-01','US','Type 1',4000 UNION ALL SELECT DATE '2021-05-01','Europe','Type 2',5777
UNION ALL SELECT DATE '2021-05-01','US','Type 1',45433 UNION ALL SELECT DATE '2021-07-01','Europe','Type 2',8955
UNION ALL SELECT DATE '2021-06-01','US','Type 1',45777 UNION ALL SELECT DATE '2021-09-01','Asia','Type 1',7533
UNION ALL SELECT DATE '2021-07-01','US','Type 1',8866 UNION ALL SELECT DATE '2021-11-01','Asia','Type 2',5534
UNION ALL SELECT DATE '2021-08-01','US','Type 1',4000 UNION ALL SELECT DATE '2022-01-01','Asia','Type 1',7244
UNION ALL SELECT DATE '2021-09-01','US','Type 1',6678 UNION ALL SELECT DATE '2022-03-01','Asia','Type 1',5654
UNION ALL SELECT DATE '2021-10-01','US','Type 1',2456 UNION ALL SELECT DATE '2022-05-01','Asia','Type 1',4525
UNION ALL SELECT DATE '2021-11-01','US','Type 1',6677 UNION ALL SELECT DATE '2022-07-01','Asia','Type 1',6654
UNION ALL SELECT DATE '2021-12-01','US','Type 1',6677 UNION ALL SELECT DATE '2022-09-01','Asia','Type 2',5754
UNION ALL SELECT DATE '2022-01-01','US','Type 1',7744 UNION ALL SELECT DATE '2022-11-01','Asia','Type 2',5644
UNION ALL SELECT DATE '2022-02-01','US','Type 1',6775 UNION ALL SELECT DATE '2023-01-01','Asia','Type 2',6777
UNION ALL SELECT DATE '2022-03-01','US','Type 1',7755
)
select dt,region,type, SUM(revenue) OVER (ORDER BY dt,region,type ROWS BETWEEN 11 PRECEDING AND CURRENT ROW) revenue_12_months
from indata
You want it per region and type, so that needs to part of the partition by clause
sum(revenue) over (partition by region, type order by dt rows between 11 preceding and current row)
could it be that you simply forgot the GROUP BY part in your window function?
WITH
indata(dt,region,type,revenue) AS (
SELECT DATE '2021-04-01','US','Type 1',4000 UNION ALL SELECT DATE '2021-05-01','Europe','Type 2',5777
UNION ALL SELECT DATE '2021-05-01','US','Type 1',45433 UNION ALL SELECT DATE '2021-07-01','Europe','Type 2',8955
UNION ALL SELECT DATE '2021-06-01','US','Type 1',45777 UNION ALL SELECT DATE '2021-09-01','Asia','Type 1',7533
UNION ALL SELECT DATE '2021-07-01','US','Type 1',8866 UNION ALL SELECT DATE '2021-11-01','Asia','Type 2',5534
UNION ALL SELECT DATE '2021-08-01','US','Type 1',4000 UNION ALL SELECT DATE '2022-01-01','Asia','Type 1',7244
UNION ALL SELECT DATE '2021-09-01','US','Type 1',6678 UNION ALL SELECT DATE '2022-03-01','Asia','Type 1',5654
UNION ALL SELECT DATE '2021-10-01','US','Type 1',2456 UNION ALL SELECT DATE '2022-05-01','Asia','Type 1',4525
UNION ALL SELECT DATE '2021-11-01','US','Type 1',6677 UNION ALL SELECT DATE '2022-07-01','Asia','Type 1',6654
UNION ALL SELECT DATE '2021-12-01','US','Type 1',6677 UNION ALL SELECT DATE '2022-09-01','Asia','Type 2',5754
UNION ALL SELECT DATE '2022-01-01','US','Type 1',7744 UNION ALL SELECT DATE '2022-11-01','Asia','Type 2',5644
UNION ALL SELECT DATE '2022-02-01','US','Type 1',6775 UNION ALL SELECT DATE '2023-01-01','Asia','Type 2',6777
UNION ALL SELECT DATE '2022-03-01','US','Type 1',7755
)
select dt,region,type, SUM(revenue) OVER (PARTITION BY region, type ORDER BY dt,region,type ROWS BETWEEN 11 PRECEDING AND CURRENT ROW) revenue_12_months
from indata
ORDER BY REGION, TYPE, DT;
Best regards,
TK
Need Suggestion to make it dynamic On Dates.
Expected:
Date, Total Sellers, Sellers From Previous Date
Currently:
Data in table(active_seller_codes): date, seller_code
Queries:
-- Date Wise Sellers Count
select date,count(distinct seller_code) as Sellers_COunt
from active_seller_codes where date between '2016-12-15' AND '2016-12-15'
-- Sellers from previous Days
select date,count(distinct seller_code) as Last_Day_Seller
from active_seller_codes
where date between '2016-12-15' AND '2016-12-15'
and seller_code IN(
select seller_code from active_seller_codes
where date between '2016-12-14' AND '2016-12-14'
)
group by 1
Database Using: Vertica
Reading attentively, you seem to want one row in the report, with the data from the search date in the first two columns and the data of the day before the search date in the third and fourth column, like so:
sales_date|sellers_count|prev_date |prev_sellers_count
2016-12-15| 8|2016-12-14| 5
The solution could be something like this (without the first Common Table Expression, which, in my case, contains the data, but in your case, the data would be in your active_seller_codes table.
WITH
-- initial input
(sales_date,seller_code) AS (
SELECT DATE '2016-12-15',42
UNION ALL SELECT DATE '2016-12-15',43
UNION ALL SELECT DATE '2016-12-15',44
UNION ALL SELECT DATE '2016-12-15',45
UNION ALL SELECT DATE '2016-12-15',46
UNION ALL SELECT DATE '2016-12-15',47
UNION ALL SELECT DATE '2016-12-15',48
UNION ALL SELECT DATE '2016-12-15',49
UNION ALL SELECT DATE '2016-12-14',42
UNION ALL SELECT DATE '2016-12-14',44
UNION ALL SELECT DATE '2016-12-14',46
UNION ALL SELECT DATE '2016-12-14',48
UNION ALL SELECT DATE '2016-12-14',50
UNION ALL SELECT DATE '2016-12-13',42
UNION ALL SELECT DATE '2016-12-13',43
UNION ALL SELECT DATE '2016-12-13',44
UNION ALL SELECT DATE '2016-12-13',45
UNION ALL SELECT DATE '2016-12-13',46
UNION ALL SELECT DATE '2016-12-13',47
UNION ALL SELECT DATE '2016-12-13',48
UNION ALL SELECT DATE '2016-12-13',49
)
,
-- search argument this, in the real query, would come just after the WITH keyword
-- as the above would be the source table
search_dt(search_dt) AS (SELECT DATE '2016-12-15')
,
-- the two days we're interested in, de-duped
distinct_two_days AS (
SELECT DISTINCT
sales_date
, seller_code
FROM active_seller_codes
WHERE sales_date IN (
SELECT search_dt FROM search_dt -- the search date
UNION ALL SELECT search_dt - 1 FROM search_dt -- the day before
)
)
,
-- the two days we want one above the other,
-- with index for the final pivot
vertical AS (
SELECT
ROW_NUMBER() OVER (ORDER BY sales_date DESC) AS idx
, sales_date
, count(DISTINCT seller_code) AS seller_count
FROM distinct_two_days
GROUP BY 2
)
SELECT
MAX(CASE idx WHEN 1 THEN sales_date END) AS sales_date
, SUM(CASE idx WHEN 1 THEN seller_count END) AS sellers_count
, MAX(CASE idx WHEN 2 THEN sales_date END) AS prev_date
, SUM(CASE idx WHEN 2 THEN seller_count END) AS prev_sellers_count
FROM vertical
;
sales_date|sellers_count|prev_date |prev_sellers_count
2016-12-15| 8|2016-12-14| 5
I'm trying unsuccessfully to calculate a MAU- monthly distinct active users, by using window functions.
I need the calculation for each day during the month, for the preceding 30 days
This is what I have so far:
select
t.datee
, t.app,i.sourcee
, i.campaign
, t.mobile
, sum(count(distinct t.user_id)) over (
PARTITION BY
date_trunc('month',datee)
, t.app
, i.sourcee
, i.campaign
, t.mobile
ORDER BY datee asc
ROWS BETWEEN 30 PRECEDING AND CURRENT ROW
)
FROM dim_x i
JOIN agg_y t
ON i.app=t.app
AND i.mobile=t.mobile
WHERE t.datee>=CURRENT_DATE-30
AND t.datee<CURRENT_DATE
GROUP BY 1,2,3,4,5
order by 1 desc
But all I get is a sum of active users by all days instead of sum of distinct users. I'm using Vertica db.
Any suggestions?
I'm not getting, really, why you should need an OLAP expression for that.
Aren't you looking for the total number of distinct users per:
year-month combination out of datee
app
sourcee (whatever that might be)
campaign
mobile (probably mobile number)
?
A simple GROUP BY would do, as far as I'm concerned. If I disregard sourcee, campaign and mobile, selecting just from one table: input for argument's sake, with some sample data I just made up, this query:
SELECT
YEAR(datee) * 100 + MONTH(datee) AS yearmonth
, app
, COUNT(DISTINCT user_id) AS monthly_active_users
FROM input
GROUP BY 1,2
ORDER BY 1
;
... would return:
YEARMONTH|app |monthly_active_users
201,601|app-a| 2
201,601|app-b| 2
201,602|app-a| 2
201,602|app-b| 2
201,603|app-a| 2
201,603|app-b| 2
201,604|app-a| 2
201,604|app-b| 2
201,605|app-a| 2
201,605|app-b| 2
201,606|app-a| 1
201,606|app-b| 1
Just editing my previous answer. You seem to need the running COUNT DISTINCT of user id-s , partitioned by several expressions.
With the input from the WITH clause below, would you need a report like this (only showing the first 12 rows of 53, ordered by datee, app)?
datee |app |user_id |running_active_users
2016-01-01|app-a|arthur | 1
2016-01-04|app-b|ford | 1
2016-01-07|app-a|trillian| 2
2016-01-10|app-b|zaphod | 2
2016-01-13|app-a|arthur | 2
2016-01-16|app-b|ford | 2
2016-01-19|app-a|trillian| 2
2016-01-22|app-b|zaphod | 2
2016-01-25|app-a|arthur | 2
2016-01-28|app-b|ford | 2
2016-01-31|app-a|trillian| 2
2016-02-03|app-b|zaphod | 2
?
If that's the case, I don't see the reason for existence of your GROUP BY clause, though.
Below is the query with GROUP BY as above with test data returning the results above in a WITH clause. Regard that input as the join between your two tables.
WITH
input(datee,app,user_id) AS (
SELECT DATE '2016-01-01','app-a','arthur'
UNION ALL SELECT DATE '2016-01-04','app-b','ford'
UNION ALL SELECT DATE '2016-01-07','app-a','trillian'
UNION ALL SELECT DATE '2016-01-10','app-b','zaphod'
UNION ALL SELECT DATE '2016-01-25','app-a','arthur'
UNION ALL SELECT DATE '2016-01-28','app-b','ford'
UNION ALL SELECT DATE '2016-03-04','app-b','ford'
UNION ALL SELECT DATE '2016-03-25','app-a','arthur'
UNION ALL SELECT DATE '2016-04-09','app-b','ford'
UNION ALL SELECT DATE '2016-04-30','app-a','arthur'
UNION ALL SELECT DATE '2016-05-06','app-a','trillian'
UNION ALL SELECT DATE '2016-05-09','app-b','zaphod'
UNION ALL SELECT DATE '2016-05-15','app-b','ford'
UNION ALL SELECT DATE '2016-06-05','app-a','arthur'
UNION ALL SELECT DATE '2016-01-13','app-a','arthur'
UNION ALL SELECT DATE '2016-01-16','app-b','ford'
UNION ALL SELECT DATE '2016-01-31','app-a','trillian'
UNION ALL SELECT DATE '2016-02-03','app-b','zaphod'
UNION ALL SELECT DATE '2016-02-06','app-a','arthur'
UNION ALL SELECT DATE '2016-02-09','app-b','ford'
UNION ALL SELECT DATE '2016-02-12','app-a','trillian'
UNION ALL SELECT DATE '2016-02-15','app-b','zaphod'
UNION ALL SELECT DATE '2016-02-18','app-a','arthur'
UNION ALL SELECT DATE '2016-02-21','app-b','ford'
UNION ALL SELECT DATE '2016-02-24','app-a','trillian'
UNION ALL SELECT DATE '2016-02-27','app-b','zaphod'
UNION ALL SELECT DATE '2016-03-01','app-a','arthur'
UNION ALL SELECT DATE '2016-03-10','app-b','zaphod'
UNION ALL SELECT DATE '2016-03-13','app-a','arthur'
UNION ALL SELECT DATE '2016-03-16','app-b','ford'
UNION ALL SELECT DATE '2016-03-28','app-b','ford'
UNION ALL SELECT DATE '2016-03-31','app-a','trillian'
UNION ALL SELECT DATE '2016-04-06','app-a','arthur'
UNION ALL SELECT DATE '2016-04-12','app-a','trillian'
UNION ALL SELECT DATE '2016-04-15','app-b','zaphod'
UNION ALL SELECT DATE '2016-04-27','app-b','zaphod'
UNION ALL SELECT DATE '2016-05-03','app-b','ford'
UNION ALL SELECT DATE '2016-05-27','app-b','ford'
UNION ALL SELECT DATE '2016-05-30','app-a','trillian'
UNION ALL SELECT DATE '2016-01-19','app-a','trillian'
UNION ALL SELECT DATE '2016-01-22','app-b','zaphod'
UNION ALL SELECT DATE '2016-03-07','app-a','trillian'
UNION ALL SELECT DATE '2016-03-19','app-a','trillian'
UNION ALL SELECT DATE '2016-03-22','app-b','zaphod'
UNION ALL SELECT DATE '2016-04-03','app-b','zaphod'
UNION ALL SELECT DATE '2016-04-18','app-a','arthur'
UNION ALL SELECT DATE '2016-04-21','app-b','ford'
UNION ALL SELECT DATE '2016-04-24','app-a','trillian'
UNION ALL SELECT DATE '2016-05-12','app-a','arthur'
UNION ALL SELECT DATE '2016-05-18','app-a','trillian'
UNION ALL SELECT DATE '2016-05-21','app-b','zaphod'
UNION ALL SELECT DATE '2016-05-24','app-a','arthur'
UNION ALL SELECT DATE '2016-06-02','app-b','zaphod'
)
SELECT
YEAR(datee) * 100 + MONTH(datee) AS YEARMONTH
, app
, COUNT(DISTINCT user_id) AS monthly_active_users
FROM input
GROUP BY 1,2
ORDER BY 1
;
I want to search through a SQL table and find two consecutive missing dates.
For example, person 1 inserts 'diary' entry on day 1 and day 2, misses day 3 and day 4, and enters an entry on day 5.
I am not posting code because I am not sure of how to do this at all.
Thanks!
This uses a LEVEL aggregate to build the list of calendar dates from the first entry to the last, then uses LAG() to check a given date with the previous date, and then checks that neither of those dates had an associated entry to find those two-day gaps:
With diary as (
select to_date('01/01/2016','dd/mm/yyyy') entry_dt from dual union all
select to_date('02/01/2016','dd/mm/yyyy') entry_dt from dual union all
select to_date('04/01/2016','dd/mm/yyyy') entry_dt from dual union all
--leave two day gap of 5th and 6th
select to_date('07/01/2016','dd/mm/yyyy') entry_dt from dual union all
select to_date('08/01/2016','dd/mm/yyyy') entry_dt from dual union all
select to_date('10/01/2016','dd/mm/yyyy') entry_dt from dual )
select calendar_dt -1, calendar_dt
FROM (
select calendar_dt, entry_dt, lag(entry_dt) over (order by calendar_dt) prev_entry_dt
from diary
RIGHT OUTER JOIN (select min(entry_dt) + lvl as calendar_dt
FROM diary
,(select level lvl
from dual connect by level < (select max(entry_dt) - min(entry_dt)+1 from diary))
group by lvl) ON calendar_dt = entry_dt
order by calendar_dt
)
where entry_dt is null and prev_entry_dt is null
returns:
CALENDAR_DT-1, CALENDAR_DT
05/01/2016, 06/01/2016
I am only doing the calendar building to simplify building all 2-day gaps, as if a person took three days off that would be two overlapping two-day gaps (day 1-2, and days 2-3). If you want a far simpler query that outputs the start and end point of any gap of two or more days, then the following works:
With diary as (
select to_date('01/01/2016','dd/mm/yyyy') entry_dt from dual union all
select to_date('02/01/2016','dd/mm/yyyy') entry_dt from dual union all
select to_date('04/01/2016','dd/mm/yyyy') entry_dt from dual union all
select to_date('07/01/2016','dd/mm/yyyy') entry_dt from dual union all
select to_date('08/01/2016','dd/mm/yyyy') entry_dt from dual union all
select to_date('10/01/2016','dd/mm/yyyy') entry_dt from dual )
select prev_entry_dt +1 gap_start, entry_dt -1 gap_end
FROM (
select entry_dt, lag(entry_dt) over (order by entry_dt) prev_entry_dt
from diary
order by entry_dt
) where entry_dt - prev_entry_dt > 2
My high level approach to this problem would be to select from a dynamic table of dates, using an integer counter to add or subtract from the current DateTime to get as many dates as you require into the future or past, then LEFT join your data table to this, order by date and select the first row, or N many rows which have a NULL join.
So your data ends up being
DATE ENTRY_ID
---- -----
2016-01-01 1
2016-01-02 2
2016-01-03 NULL
2016-01-04 3
2016-01-05 4
2016-01-06 NULL
2016-01-07 NULL
2016-01-08 NULL
And you can pick all of the values you need from this dataset
Try this your problem looks like similar to this :-
Declare #temp Table(id int identity(1,1) not null,CDate smalldatetime ,val int)
insert into #temp select '10/2/2012',1
insert into #temp select '10/3/2012',1
insert into #temp select '10/5/2012',1
insert into #temp select '10/7/2012',2
insert into #temp select '10/9/2012',2
insert into #temp select '10/10/2012',2
insert into #temp select '10/13/2012',2
insert into #temp select '10/15/2012',2
DECLARE #startDate DATE= '10/01/2012'
DECLARE #endDate DATE= '10/15/2012'
SELECT t.Id, X.[Date],Val = COALESCE(t.val,0)
FROM
(SELECT [Date] = DATEADD(Day,Number,#startDate)
FROM master..spt_values
WHERE Type='P'
AND DATEADD(day,Number,#startDate) <= #endDate)X
LEFT JOIN #temp t
ON X.[Date] = t.CDate
Alternative you can try this :-
WITH dates AS (
SELECT CAST('2009-01-01' AS DATETIME) 'date'
UNION ALL
SELECT DATEADD(dd, 1, t.date)
FROM dates t
WHERE DATEADD(dd, 1, t.date) <= '2009-02-01')
SELECT t.eventid, d.date
FROM dates d
JOIN TABLE t ON d.date BETWEEN t.startdate AND t.enddate
I have been going around for while trying to get an anwswer to my issue, I think it revolves around cursors in SQL but I am not sure. I think I know how to write the loop for a single row of data but I don't know how to run it for all the records:
Hopefully there is an easy answer:
I have a table, let's call it A, that has Product_Code, Start_Date, End_Date and Value
I would need an output table B that has column: Product_Code, Month, Year, Value when Month * Year is in between Start_Date and End_date
Each record of A should then create several record into B. Hope that's fairly clear, I'm happy to elaborate if not! :)
CREATE TABLE YearMonth(
Year int not null,
Month int not null,
FirstDay date not null,
LastDay date not null
);
Fill this table with as many years and months that your range of data is covered (no problem if you have too much).
You could do this with a statement like this:
WITH y(year) AS (
SELECT 2007
union all
SELECT 2008
union all
SELECT 2009
union all
SELECT 2010
union all
SELECT 2011
union all
SELECT 2012
union all
SELECT 2013
union all
SELECT 2014
union all
SELECT 2015
union all
SELECT 2016
),
m(month) AS (
SELECT 1
union all
SELECT 2
union all
SELECT 3
union all
SELECT 4
union all
SELECT 5
union all
SELECT 6
union all
SELECT 7
union all
SELECT 8
union all
SELECT 9
union all
SELECT 10
union all
SELECT 11
union all
SELECT 12
)
INSERT INTO YearMonth(Year, Month, FirstDay, LastDay)
SELECT y.year
,m.month
,convert(date, convert(nvarchar(4), y.year) + '.' + convert(nvarchar(2), m.month) + '.01', 102)
,DateAdd(day, - 1,
CASE WHEN m.month = 12 THEN
convert(date, convert(nvarchar(4), y.year + 1) + '.01.01', 102)
ELSE
convert(date, convert(nvarchar(4), y.year) + '.' + convert(nvarchar(2), m.month + 1) + '.01', 102)
END)
FROM y CROSS JOIN m
The tricky part to calculate the LastDay works like this: create a date that is the first of the following month, then subtract one day from it. This handles the problem that the last day of the month can be 28, 29, 30, or 31.
Then just use a join:
INSERT INTO B(Product_Code, Month, Year, Value)
SELECT A.Product_Code
,YearMonth.Month
,YearMonth.Year
,A.Value
FROM A
JOIN YearMonth ON YearMonth.LastDay <= A.StartDate
AND YearMonth.FirstDay <= A.EndDate
Depending on the exact interpretation of "Month*Year is in between Start_Date and End_date", you might have to switch one or both of the <=s to <.