I am trying to compute the total of customer base from 2018-01-01 till last day of the months this year to achieve a month on month look. For instance, for the month of Jan in 2022, it will be the total count of distinct customers from 2018-01-01 to 2022-01-30. For the month of feb in 2022, it will be total count of distinct customers from 2018-01-01 to 2022-02-29. Could someone enlighten me?
select count(distinct customername) from table
where billingdate between "2018-01-01" and "2022-01-30";
currently, I only get the result for first month.
result
I think you are expecting cumulative customer count month wise,
example: in jan 2018 the customer count is 10 and in feb 2018 count is 20
jan 2018 - 10
feb 2018 - 20
what you need is
jan 2018 - 10
feb 2018 - 30 <--
In this case, group the dates and use 'over' clause, to get the cumulative count
select year_month_date,sum(customer_count) over(ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) as cumulative_customer_count_from_jan_2018 from (select year_month_date, count(distinct customername) as customer_count from (select date(extract(year from billingdate),extract(month from billingdate),1) as year_month_date, customername from table) as table group by year_month_date order by year_month_date) where year_month_date >= date(2018,1,1)
I have the following sql Code (where clause just to limit rows currently)
select
month,
monthname,
year,
count(distinct case when a.dim_service_type_id_desc like '%Direct Payment%' then a.DIM_PERSON_ID else null end) as No_dp,
count(distinct a.DIM_PERSON_ID) as no_ppl
from
SERVICE_PROVISIONS a
inner join date_tbl d on CONVERT(VARCHAR(35),a.start_dttm,112) = d.dim_date_id
where
a.dim_person_id >0
and year = 2018
group by
month,
monthname,
year
my output is this
month monthname year No_dp no_ppl
1 January 2018 142 1604
2 February 2018 111 1526
3 March 2018 133 1636
4 April 2018 1107 3829
5 May 2018 140 1575
6 June 2018 131 1389
7 July 2018 200 893
8 August 2018 2 73
9 September 2018 1 32
10 October 2018 2 21
11 November 2018 2 21
12 December 2018 2 19
So my question is - the customer wants to see how many services were open (using start date and end date) during the previous 12 months (not how many were started, but how many were current and not ended). This is fine when using the current month, however they want to show this also for the previous 12 months as a rolling dynamic figure.
So for example this month in July they want to see how many services were open during the last 12 months. Last month June, they want to see how many services were open during the 12 months previous to June and so on for the previous 12 months.
The table needs to have the month name for the last 12 months and in a column show the number of services that were open in the previous 12 months next to that month.
I hope that makes sense, sorry if it doesn't, feel free to ask questions and I will try to clarify.
The output needs to look something like the current output table, but it is currently only showing how many services were started within that month, which isn't what we want.
The date table is a reference table which has different date formats etc. It can be used or added to if needed.
I've had to make several assumptions about your data. Hopefully the query I'll show in a minute will be easy for you to adjust if any of these are wrong:
I am guessing by its name that start_dttm is a datetime or datetime2 column.
I assume there is a corresponding column called end_dttm that gives the end date/time of a service, and that a null in this column would indicate that a service has not yet ended.
My best guess as to what it means for a service to be "open" in a given month is that it began sometime either within or prior to that month, and has not ended by the time that month is over.
I assume from your original query that multiple services having the same dim_person_id do not represent distinct services.
Since I don't know what's in your date_tbl, I'll show an example that doesn't require it. Consider the following query:
select
BeginDate = dateadd(month, -1, dateadd(day, 1, eomonth(getdate(), -Offset.X))),
EndDate = dateadd(day, 1, eomonth(getdate(), -Offset.X))
from
(values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9),(10),(11)) Offset(X)
This will give you 12 records, representing the current month and each of the 11 preceding months. Note that my EndDate here is not actually the last day of the month, but the first day of the following month. I've done this because of assumption 1 above; since your service dates may have time components, I'll determine whether they fall in a given month by checking if their dates are strictly earlier than the start of the following month. Here's what that query gives me:
BeginDate EndDate
2018-07-01 2018-08-01
2018-06-01 2018-07-01
2018-05-01 2018-06-01
2018-04-01 2018-05-01
2018-03-01 2018-04-01
2018-02-01 2018-03-01
2018-01-01 2018-02-01
2017-12-01 2018-01-01
2017-11-01 2017-12-01
2017-10-01 2017-11-01
2017-09-01 2017-10-01
2017-08-01 2017-09-01
Now I'll join the above result set to your SERVICE_PROVISIONS data, looking for records in each month that have dim_person_id > 0 (from your original query) and which satisfy assumption 3 above.
-- Some sample data (assumptions 1 & 2)
declare #SERVICE_PROVISIONS table (dim_person_id bigint, start_dttm datetime, end_dttm datetime);
insert #SERVICE_PROVISIONS values
(1, '20180101', '20180315'),
(1, '20180101', '20180315'),
(2, '20171215', '20180520');
-- The CTE defines the months we'll report on, as described earlier.
with MonthsCTE as
(
select
BeginDate = dateadd(month, -1, dateadd(day, 1, eomonth(getdate(), -Offset.X))),
EndDate = dateadd(day, 1, eomonth(getdate(), -Offset.X))
from
(values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9),(10),(11)) Offset(X)
)
-- This query matches the months from the CTE against the applicable services.
select
[Month] = datepart(month, M.BeginDate),
[MonthName] = datename(month, M.BeginDate),
[Year] = datepart(year, M.BeginDate),
ServicesOpen = count(distinct S.dim_person_id) -- Assumption 4
from
MonthsCTE M
left join #SERVICE_PROVISIONS S on
S.dim_person_id > 0 and
S.start_dttm < M.EndDate and -- Assumption 3
(
S.end_dttm >= M.EndDate or
S.end_dttm is null -- Assumption 2
)
group by
M.BeginDate,
M.EndDate
order by
M.BeginDate;
Note that I moved the dim_person_id > 0 from the WHERE clause to the JOIN so that each of the 12 months will still appear in the result set even if there were no services open during that time. Results:
Month MonthName Year ServicesOpen
8 August 2017 0
9 September 2017 0
10 October 2017 0
11 November 2017 0
12 December 2017 1
1 January 2018 2
2 February 2018 2
3 March 2018 1
4 April 2018 1
5 May 2018 0
6 June 2018 0
7 July 2018 0
something a bit like this - if you can write a query to get the value you want for a row in your ootput, then use cross apply to link to that query. Counting records that have an open record before the month, but no close record before the month seems feasible
SELECT IQ. *, OA.SERVICE_PROVISIONS FROM (select
month,
monthname,
year,
a.dim_person_id dim_person_id,
count(distinct case when a.dim_service_type_id_desc like '%Direct Payment%' then a.DIM_PERSON_ID else null end) as No_dp,
count(distinct a.DIM_PERSON_ID) as no_ppl
from
SERVICE_PROVISIONS a
inner join date_tbl d on CONVERT(VARCHAR(35),a.start_dttm,112) = d.dim_date_id
where
a.dim_person_id >0
and year = 2018
group by
month,
monthname,
year) IQ
CROSS APPLY
(SELECT count(0) OpenThings FROM SERVICE_PROVISIONS SP1 WHERE
(sp1.startdate < DATEFROMPARTS(IQ.year,iq.month,1)
AND
sp1.enddate is null or sp1.enddate > DATEFROMPARTS(IQ.year,iq.month,1)) and sp1.dim_person_id = iq.dim_person_id
) AS OA
I want to extract all budget entries charged to the current year and cumulated over each month after .In January, taking the total over January, February take accumulated of January plus accumulated February...
I started with this query :
IF OBJECT_ID('tempdb..#BudgetTransTmp') IS NOT NULL
DROP TABLE #BudgetTransTmp
Select
Row_number() over(ORDER BY YEAR(BTLine.DATE),MONTH(BTLine.DATE)) as RowNumber,
COMBINATION.DISPLAYVALUE,
BTLine.LedgerDimension AS LedgerDimension,
MIN(BTLine.TransactionCurrencyAmount) AS Amount,
SUM(BTLine.TransactionCurrencyAmount)
OVER (ORDER BY YEAR(BTLine.DATE),MONTH(BTLine.DATE),BTLine.LedgerDimension,COMBINATION.DISPLAYVALUE ) AS SUM,
YEAR(BTLine.DATE) AS Year ,
MONTH(BTLine.DATE) AS MONTH
INTO #BudgetTransTmp
FROM MicrosoftDynamicsAX.dbo.BudgetTransactionLine AS BTLine
--Get Display value
INNER JOIN MicrosoftDynamicsAX.dbo.DIMENSIONATTRIBUTEVALUECOMBINATION AS COMBINATION
ON COMBINATION.RECID = BTLine.LEDGERDIMENSION
GROUP BY
BTLine.LedgerDimension,
YEAR(BTLine.DATE),
MONTH(BTLine.DATE)
ORDER BY RowNumber
The result is :
LedgerDimension Amount SUM Year Month Display
1 22565448266 850.00 850.00 2012 8 601200-001-027--
2 22565448265 1700.00 2550.0 2012 12 601200-002-027--
3 22565448266 2700.00 5250.00 2012 12 601200-001-027--
4 22565448267 650.00 5900.00 2012 12 601400-002-027--
5 22565448268 1100.00 7000.00 2012 12 601400-001-027--
But i want to get
LedgerDimension Amount SUM Year Month Display
1 22565448266 850.00 850.00 2012 8 601200-001-027--
2 22565448265 1700.00 1700.0 2012 12 601200-002-027--
3 22565448266 2700.00 3350.00 2012 12 601200-001-027--
4 22565448267 650.00 650.00 2012 12 601400-002-027--
5 22565448268 1100.00 1100.00 2012 12 601400-001-027--
I think my COMBINATION of ORDER by (primary key) must be betwwen LedgerDimension ,Year , Month , Display
Any help in this regards
I think what you need to do is:
SUM(BTLine.TransactionCurrencyAmount)
OVER (PARTITION BY BTLine.LedgerDimension ORDER BY YEAR(BTLine.DATE),MONTH(BTLine.DATE),BTLine.LedgerDimension,COMBINATION.DISPLAYVALUE ) AS SUM
let me know if this works.
I'm trying to find the difference between the previous years month and current years month. An example would be the SUM of sales for January 2013 and the difference of SUM of sales for January 2014 sales. This is being done to see how much we made from the previous year. I have a group by that shows the total sales by month and year. I'm having trouble on defining how to find the difference between the two months. Thank you for your help. Its greatly appreciated.
Table
Date Sales
1/1/2013 100
1/12/2013 150
1/21/2013 90
1/4/2014 200
1/17/2014 50
1/20/2014 100
Result of Group By
Jan 2013
340
Jan 2014
350
Difference
Jan 2014 - Jan 2013
340 - 350 = 10
The best way to do this depends on the database. The first thing you need to do is to aggregate the data. Then a simple join will get the data you need. Here is one method:
with ym as (
select year(date) as yr, month(date) as mon,
sum(sales) as sales
from table t
group by year(date), month(date)
)
select ym.yr, ym.mon, ym.sales, ymprev.sales as prev_sales,
(ym.sales - ymprev.sales) as diff
from ym join
ym ymprev
on ymprev.yr = ym.yr - 1 and ymprev.mon = ym.mon;
I have following type of data in my Sql server:-
Field Value Month
Administrative 5 November
Counteracting 7 November
District1 9 November
District2 6 November
Administrative 1 December
Counteracting 2 December
District1 3 December
District2 4 December
Administrative 9 January
Counteracting 8 January
District1 5 January
District2 6 January
Now the problem is I am not able to figure out that how to show this data in the following format:-
Field November December January
Administrative 5 1 9
Counteracting 7 2 8
District1 9 3 5
District2 6 4 6
What you are trying to do is PIVOT the data. There are a few ways to perform this. If you know the values ahead of time, then you can hard-code the values.
You can use an aggregate function with a CASE statement:
select field,
sum(case when month ='November' then value end) November,
sum(case when month ='December' then value end) December,
sum(case when month ='January' then value end) January,
etc
from yourtable
group by field
See SQL Fiddle with Demo
In SQL Server 2005+ you can use the PIVOT function:
select field, November, December, January
from
(
select field,
value, month
from yourtable
) src
pivot
(
sum(value)
for month in (November, December, January, etc)
) piv
See SQL Fiddle with Demo
If you had an unknown number of values to transform into columns then you could use dynamic sql to pivot the data.
That is a typical pivoting problem. Check out the SQL Server PIVOT statement: http://msdn.microsoft.com/en-us/library/ms177410(v=sql.105).aspx
It will solve your problem.
You need to use Pivot, check out example:
http://blogs.msdn.com/b/spike/archive/2009/03/03/pivot-tables-in-sql-server-a-simple-sample.aspx