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Hi all,
did there still exist a function like "not in"?
I try to find values which are maybe in the one table but not in another one.
could someone help?
Thanks.
Hi Sebastian,
you can try the EXCEPT function ( https://msdn.microsoft.com/en-us/library/mt243784.aspx ), but watch out because the two tables must have the same dimension.
Have a good coding
Hey. Thanks for your answer.
The except function doesn't work.
My problem:
I have a table (table 1) which consist of all customer information and a second table (table 2) which consist of sales information.
I try to find all customer who are in table 1 but not in table 2.
You might want to solve this problem in "M" versus DAX. You can control the way "M" joins things.
http://blog.crossjoin.co.uk/2014/06/02/join-conditions-in-power-query-part-1/
As a query:
EVALUATE(
CALCULATETABLE(
DimCustomer
)
,EXCEPT(
VALUES( DimCustomer[CustomerKey] )
,VALUES( FactSale[CustomerKey] )
)
)As a measure you can use in a visualization:
Customers without Sales =
COUNTROWS(
CALCULATETABLE(
DimCustomer
,EXCEPT(
VALUES( DimCustomer[CustomerKey] )
,VALUES( FactSale[CustomerKey] )
)
)
)You could use anything in a CALCULATE() with that EXCEPT() as a filter, but I think COUNTROWS() of the resulting DimCustomer is appropriate, because you could use a customer hierarchy and see how many customers in various groups have no purchases. This will also work with filters on your date dimension, so you could filter to a specific date and see customers without sales on that date.
@greggyb wrote:As a query:
EVALUATE( CALCULATETABLE( DimCustomer ) ,EXCEPT( VALUES( DimCustomer[CustomerKey] ) ,VALUES( FactSale[CustomerKey] ) ) )As a measure you can use in a visualization:
Customers without Sales = COUNTROWS( CALCULATETABLE( DimCustomer ,EXCEPT( VALUES( DimCustomer[CustomerKey] ) ,VALUES( FactSale[CustomerKey] ) ) ) )You could use anything in a CALCULATE() with that EXCEPT() as a filter, but I think COUNTROWS() of the resulting DimCustomer is appropriate, because you could use a customer hierarchy and see how many customers in various groups have no purchases. This will also work with filters on your date dimension, so you could filter to a specific date and see customers without sales on that date.
What if its two different tables, with different columns, but has a relationship on one of the columns?
Lets say TableA has column, A1, B1,C1,D1,E1,F1 and TableB has column A2,B2,C2
Normally I would do Select COUNT(*) from table A where A1 not in (select A2 from TableB) but with your measure it says "Each table argument of 'EXCEPT' must have the same number of columns?
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