WITH MEMBER [Measures].[Active Employee] as
FILTER(
[Date].[YQMD].CURRENTMEMBER.children
, [Employee].[Activation Date].CURRENTMEMBER.children<=[Date].[YQMD].CURRENTMEMBER and [Employee].[De Activation Date].CURRENTMEMBER.children>=[Date].[YQMD].CURRENTMEMBER).count
select
{[Active Employee]} on 0,
{[Date].[YQMD].CURRENTMEMBER.children} on 1
from
[Operational]
I need to find the number of employees for each month In MDX
consider a employee1 joined on jan 2014
count of employees in jan 1
count of employees in feb 1
consider a employee2 joined on march 2014
count of employees in march 2
employee1 left in april
count of employees in april 1
Related
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 a table that contains the following columns: TrackingStatus, Year, Month, Order, Notes
I need to calculate the total number of tracking status for each year and month.
For example, if the table contains the following orders:
TrackingStatus
Year
Month
Order
Notes
F
2020
1
33
F
2020
1
33
DFF
E
2020
2
36
xxx
A
2021
3
34
X1
A
2021
3
34
DD
A
2021
3
88
A
2021
2
45
The result should be:
• Tracking F , year 2020, month 1 the total will be one (because it's the same year, month, and order).
• Tracking A , year 2021, month 2 the total will be one. (because there is only one record with the same year, month, and order).
• Tracking A , year 2021, month 3 the total will be two. (because there are two orders within the same year and month).
So the expected SELECT output will be like that:
TrackingStatus
Year
Month
Total
F
2020
1
1
E
2020
2
1
A
2021
2
1
A
2021
3
2
I was trying to use group by but then it will count the number of records which in my scenario is wrong.
How can I get the total orders for each month without counting “duplicate” records?
Thank you
You can use a COUNT DISTINCT aggregation function, whereas the COUNT allows you to count the values, but the DISTINCT condition will allow each value only once.
SELECT TrackingStatus,
Year,
Month,
COUNT(DISTINCT Order) AS Total
FROM tab
GROUP BY TrackingStatus,
Year,
Month
ORDER BY Year,
Month
Here you can find a tested solution in a MySQL environment, though this should work with many DBMS.
I'm creating an Absence Report for HR. The Absence Data is stored in the database as a single row per day (the columns are EmployeeId, Absence Date, Duration). So if I'm off work from Tuesday 11 February 2020 to Friday 21 February 2020 inclusive, there will be 9 rows in the table:
11 February 2020 - 1 day
12 February 2020 - 1 day
13 February 2020 - 1 day
14 February 2020 - 1 day
17 February 2020 - 1 day
18 February 2020 - 1 day
19 February 2020 - 1 day
20 February 2020 - 1 day
21 February 2020 - 1 day
(see screenshot below)
HR would like to see a single entry in the report for a contiguous period of absence:
My question is - without using a cursor, how can I calculate the is in SQL (even more complicated because I have to do this using Linq to SQL, but I might be able to swap this out for a stored procedure. Note that the criterion for contiguous data is adjacent working days EXCLUDING weekends and bank holidays. I hope I've made myself clear ... apologies if not.
This is a form of gaps-and-islands. In this case, use lag() to see if two vacations overlap and then a cumulative sum:
select employee, min(absent_from), max(absent_to)
from (select t.*,
sum(case when prev_absent_to = dateadd(day, -1, absent_from) then 0 else 1
end) over (partition by employee order by absent_to) as grp
from (select t.*,
lag(absent_to) over (partition by employee order by absent_from) as prev_absent_to
from t
) t
) t
group by employee, grp;
If you need to deal with holidays and weekends, then you need a calendar table.
I have code that distinctly counts authorizations grouped by month and year.
I added a calculated field to show the percent of change but my issue is I only want to get this percentage between the years by month.
My code calculates the percent for each previous row. which when pulled into SSRS displays the incorrect value after the for column.
Select D.Month
,D.Year
,count( distinct D.authorization_number) [Admission Events]
,CAST(lag(Count(distinct D.authorization_number), 1) over (order by D.month) - Count(distinct D.authorization_number) as FLOAT) / CAST(Count(distinct D.authorization_number)as FLOAT) [Admission Events Pct]
From #Detail D
Group BY D.Month
,D.Year
In these results I would like to only display the pct for year 2018 in SSRS.
Month Year Admission Events Admission Events Pct
1 2017 5919 NULL
1 2018 6057 -0.0227835562159485
2 2017 5302 0.142399094681252
2 2018 5234 0.0129919755445166
3 2017 5548 -0.0565969718817592
3 2018 5389 0.0295045462980145
4 2017 5128 0.0508970358814353
4 2018 5503 -0.0681446483736144
5 2017 5768 -0.0459431345353675
5 2018 5708 0.0105115627189909
6 2017 5461 0.0452298113898553
6 2018 2606 1.09554873369148
Is this what you want?
select t.*
from (<your query here>) t
where year = 2018;
You need a subquery or CTE so the where doesn't interfere with the lag().
Payments
Year Month Division Department Payments_received_Count
------------------------------------------------------------------------
2016 1 Electric dep1 2
2016 1 Electric dep2 3
2015 1 Electric dep1 1
Divisions
Division Department
--------------------------------
Electric Dep1
Electric Dep2
Electric Dep3
How to join the tables to get the following result?
Year Month Division Department Payments_received_Count
------------------------------------------------------------------------
2016 1 Electric dep1 2
2016 1 Electric dep2 3
2016 1 Electric dep3 0
2015 1 Electric dep1 1
2015 1 Electric dep2 0
2015 1 Electric dep3 0
So for each year and month I have to join the payments table with division table. Please suggest an approach.
I know CASE WHEN will help in this scenario, but I have not been able to find the right way.
CASE Payments_received_Count
WHEN null THEN 0
ELSE Payments_received_Count
Thanks
You need a combination of division/department and year/month. First, generate the rows using cross join. Then use left join to get the values:
select ym.year, ym.month, d.division, d.department,
coalesce(Payments_received_Count, 0) as Payments_received_Count
from divisions d cross join
(select distinct year, month from payments) ym left join
payments p
on d.division = p.division and d.department = p.department and
ym.year = p.year and ym.month = p.month
order by year desc, month desc, division, department;