I've developed data into to sets.
The first set looks like this:
set1
acctA CatA budget 10
acctA CatB budget 20
acctA CatC budget 30
acctB CatA budget 10
acctB CatB budget 20
acctB CatC budget 30
acctC CatA budget 10
acctC CatB budget 20
acctC CatC budget 30
and the second set:
set2
acctA CatA expense 7
acctA CatB expense 8
acctB CatB expense 20
acctC CatB expense 19
acctC CatC expense 3
The output report needs to be matched up like this.
desired output
CatA CatB CatC
budget expense budget expense budget expense
acctA 10 7 10 8 10 -
acctB 20 - 20 23 20 -
acctC 30 - 30 19 30 3
In all accts there will be a budget amount in all Cat(s).
Each budget Cat will be represented in all accts just on time.
An acct will not always have an expense for a given Cat.
Any expense value has to be given to a distinct acct-Cat pair.
Would you rather return these sets to SSRS and join them in the report?
How would you join them in MDX?
Thanks.
We don't know much about your cube.
To return what you mention in straight mdx is something along these lines:
SELECT
[Category].[Category].MEMBERS
*
{[Measures].budget, [Measures].expenses} ON COLUMNS
[Account].[Account].MEMBERS ON ROWS
FROM [YourCube];
Can you amend the above please so we have an idea of your mdx? - it will need to amended to work with SSRS as only the Measures hierarchy will be allowed on columns.
Lol. The correct answer is ... get those nulls our of your cube's data
Related
lets say that i have table like this
ITEMNAME JANUARY FEBRUARY
Table 20 100
Chair 30 50
and i want to show it like this
ITEMNAME JANUARY FEBRUARY SUM
Table 20 100 120
Chair 30 50 80
the question is how to show that table with query?
You can do it like this
SELECT item, january, february, (january+february) AS sum
FROM table
It hasn't been tested yet, but I think it works
Good morning, I've searched in the forum one doubt that I have but the results that I've seen didn't give me a solution.
I have two tables.
CARS:
Id Model
1 Seat
2 Audi
3 Mercedes
4 Ford
BREAKDOWNS:
IdBd Description Date Price IdCar
1 Engine 01/01/2020 500 € 3
2 Battery 05/01/2020 0 € 1
3 Wheel's change 10/02/2020 110,25 € 4
4 Electronic system 15/03/2020 100 € 2
5 Brake failure 20/05/2020 0 € 4
6 Engine 25/05/2020 400 € 1
I wanna make a query that shows the number of breakdowns by month with 0€ of cost.
I have this query:
SELECT Year(breakdowns.[Date]) AS YEAR, StrConv(MonthName(Month(breakdowns.[Date])),3) AS MONTH, Count(*) AS [BREAKDOWNS]
FROM cars LEFT JOIN breakdowns ON (cars.Id = breakdowns.IdCar AND breakdowns.[Price]=0)
GROUP BY breakdowns.[Price], Year(breakdowns.[Date]), Month(breakdowns.[Date]), MonthName(Month(breakdowns.[Date]))
HAVING ((Year([breakdowns].[Date]))=[Insert a year:])
ORDER BY Year(breakdowns.[Date]), Month(breakdowns.[Date]);
And the result is (if I put year '2020'):
YEAR MONTH BREAKDOWNS
2020 January 1
2020 May 1
And I want:
YEAR MONTH BREAKDOWNS
2020 January 1
2020 February 0
2020 March 0
2020 May 1
Thanks!
The HAVING condition should be in WHERE (otherwise it changes the Outer to an Inner join). But as long as you don't use columns from cars there's no need to join it.
To get rows for months without a zero price you should switch to conditional aggregation (Access doesn't support Standard SQL CASE, but IIF?).
SELECT Year(breakdowns.[Date]) AS YEAR,
StrConv(MonthName(Month(breakdowns.[Date])),3) AS MONTH,
SUM(CASE WHEN breakdowns.[Price]=0 THEN 1 ELSE 0 END) AS [BREAKDOWNS]
FROM breakdowns
JOIN cars
ON (cars.Id = breakdowns.IdCar)
WHERE ((Year([breakdowns].[Date]))=[Insert a year:])
GROUP BY breakdowns.[Price], Year(breakdowns.[Date]), Month(breakdowns.[Date]), MonthName(Month(breakdowns.[Date]))
ORDER BY Year(breakdowns.[Date]), Month(breakdowns.[Date]
I am dealing with a sales order table (ORDER) that looks roughly like this (updated 2018/12/20 to be closer to my actual data set):
SOID SOLINEID INVOICEDATE SALESAMOUNT AC
5 1 2018-11-30 100.00 01
5 2 2018-12-05 50.00 02
4 1 2018-12-12 25.00 17
3 1 2017-12-31 75.00 03
3 2 2018-01-03 25.00 05
2 1 2017-11-25 100.00 17
2 2 2017-11-27 35.00 03
1 1 2017-11-20 15.00 08
1 2 2018-03-15 30.00 17
1 3 2018-04-03 200.00 05
I'm able to calculate the average sales by SOID and SOLINEID:
SELECT SUM(SALESAMOUNT) / COUNT(DISTINCT SOID) AS 'Total Sales per Order ($)',
SUM(SALESAMOUNT) / COUNT(SOLINEID) AS 'Total Sales per Line ($)'
FROM ORDER
This seems to provide a perfectly good answer, but I was then given an additional constraint, that this count be done by year and month. I thought I could simply add
GROUP BY YEAR(INVOICEDATE), MONTH(MONTH)
But this aggregates the SOID and then performs the COUNT(DISTINCT SOID). This becomes a problem with SOIDs that appears across multiple months, which is fairly common since we invoice upon shipment.
I want to get something like this:
Year Month Total Sales Per Order Total Sales Per Line
2018 11 0.00
The sore thumb sticking out is that I need some way of defining in which month and year an SOID will be aggregated if it spans across multiple ones; for that purpose, I'd use MAX(INVOICEDATE).
From there, however, I'm just not sure how to tackle this. WITH? A subquery? Something else? I would appreciate any help, even if it's just pointing in the right direction.
You should select Year() and month() for invocedate and group by
SELECT YEAR(INVOICEDATE) year
, MONTH(INVOICEDATE) month
, SUM(SALESAMOUNT) / COUNT(DISTINCT SOID) AS 'Total Sales per Order ($)'
, SUM(SALESAMOUNT) / COUNT(SOLINEID) AS 'Total Sales per Line ($)'
FROM ORDER
GROUP BY YEAR(INVOICEDATE), MONTH(INVOICEDATE)
Here are the results, but the data sample does not have enuf rows to show Months...
SELECT
mDateYYYY,
mDateMM,
SUM(SALESAMOUNT) / COUNT(DISTINCT t1.SOID) AS 'Total Sales per Order ($)',
SUM(SALESAMOUNT) / COUNT(SOLINEID) AS 'Total Sales per Line ($)'
FROM DCORDER as t1
left join
(Select
SOID
,Year(max(INVOICEDATE)) as mDateYYYY
,Month(max(INVOICEDATE)) as mDateMM
From DCOrder
Group By SOID
) as t2
On t1.SOID = t2.SOID
Group by mDateYYYY, mDateMM
mDateYYYY mDateMM Total Sales per Order ($) Total Sales per Line ($)
2018 12 87.50 58.33
I have used new SQL still MAX(INVOICEDATE)(not above), with new 12/20 data, and excluded AC=17.
YYYY MM Total Sales per Order ($) Total Sales per Line ($)
2017 11 35.00 35.00
2018 1 100.00 50.00
2018 4 215.00 107.50
2018 12 150.00 75.00
I’m looking for a little assistance. I have a table called equipment. One row is an order of some type of equipment.
Here are the fields:
num_id date player_id order_id active jersey comment
BIGINT DATE BIGINT BIGINT CHAR(1) CHAR(3) VARCHAR(1024)
11 2018-01-01 123 1 Y XL
11 2018-01-01 123 2 Y M Purple
11 2018-01-01 123 3 Y L White, Red
13 2018-01-11 456 1 N S Yellow, Light Blue
14 2018-02-01 789 1 Y M Orange, Black
15 2018-02-02 101 1 Y XL Shield
15 2018-02-02 101 2 Y XL Light Green, Grey
I need to write a query that shows one row for each month with the columns
Month
Total Orders
Total Products ordered
And one extra column for a total count of each size sold.
Is this easy? Any help would be appreciated.
EDIT: To answer people's questions below, SQL Server is the dbms. My apologies. As well, I am struggling as I don't know how to get the month from a date. And then adding the column for size counts has me baffled, but I haven't fully investigated that portion. I feel like the rest I have done individually, just never did it in one succinct query.
It looks weird here and I don't know how to add a table to stackoverflow, so I'll try to make it a little more visually appealing here:
The end goal I think would be like this:
Month Total Orders Total Products Ordered Size Count
January 1 3 S-0, M-1, L-1, XL-2
February 3 6 S–1, M–2, L–1, XL–3
Or this:
Month Total Orders Total Products Ordered S Count M Count L Count XL Count
January 1 3 0 1 1 2
February 3 6 1 2 1 3
You need PIVOT.
It basicly turns rows into columns, which exactly is your case.
https://www.codeproject.com/Tips/500811/Simple-Way-To-Use-Pivot-In-SQL-Query
i have these columns in the table and made this table as the FACT table and also using time intelligence filter in the PPS2010..
i have measures , sum (materials), sum (sales) and sum (material_%)
in the PPS dashboard design i have included this cube and all the measures.. and using an analytic chart..
i have developed separate graphs for each columns (material, sales, material_%)..
for the sales and materials there is no problem , when i use the time filter
in the material_% graph i used the time filter current quarter in months (showing three months ) shows the correct value..
when i use the current quarter filter (sum of all the 3 months)
its showing 146% (83 +33 +30) --> for actual values
and 150 % ( 50+50+50) --> for target values
actually it showed show me 46% for actual and 50% for target ,
it should be sum of material in all the 3 months / sum of sales in all the 3 months but its just calculating sum of material_% column of all the 3 months
time filter : year :: Halfyear ::quarter:: Month::Day
DataBase Table:
Month Year Material sales Material_% [ material / sales]
Jan_Act 2011 500 600 83
Jan_target 2011 400 800 50
Feb_Act 2011 300 900 33
Feb_target 2011 300 600 50
Mar_Act 2011 300 900 30
Mar_target 2011 300 600 50
......
Jan_Act 2012 0 0 0
Jan_target 2012 600 1000 60
.............
Dec_Act 2012 0 0 0
Dec_target 2012 600 800 75
MDX Query:
SELECT
HIERARCHIZE( { [Time_dim].[Year - Half Year - Quarter - Month - Date].DEFAULTMEMBER } )ON COLUMNS,
HIERARCHIZE( { [Ven Bi Actfctmaster].[Act Fct].&[ACTUAL], [Ven Bi Actfctmaster].[Act Fct].&[TARGET] } )ON ROWS
FROM [Vin Finance]
WHERE ( [Measures].[Materials - Ven Bifullrptmaster] )
Please help me to sort out this issue.
i solved this issue by changing the measure of '%' columns from sum to averageofchild in the property tab..