sql server Group by with calculated values I have two tables: costumer table and invoice table. How to calculate sum(value) for each costumer (id) when I have calculated variables in group by statement - without puting code for calculated variables in group by statement (in group by should stay only name of the variable)? 
Please find me the solution wrom which total sql code is as small as possible.   

select
       p.id,
       p.name,
       case when
        (p.name not like ('%!!!%') or p.name not like ('%XXX%') or p.name not like ('%???%')) then 0 else 1 end as validity_name,
       p.surname,
       case when
        (p.surname not like ('%!!!%') or p.surname not like ('%*XXX%') or p.surname not like ('%???%')) then 0 else 1 end as validity_surname,
       p.adress,
       sum(pr.value) as value
from   [dbo].[_data_CRM_COSTOMER] as p inner join
       [dbo].[_data_CRM_INVOICE] as r on (r.partner_id=p.id) 
group by id, name, validity_name, surname, validity_surname, adress
I think your CASE statements may be flawed as you're always going to have validity_name and validity_surname equal to 0, because the name cannot be 3 different things at once.

When do you want the validity_name to equal 1?

Regardless of that fact, I like the APPLY VALUES method of grouping on a computed column.

Using AdventureWorks as an example, this works like so:

USE AdventureWorks;
GO

SELECT
  FirstName,
  ValidName
FROM Person.Person AS p
CROSS APPLY (VALUES(CASE WHEN FirstName = 'Kim' THEN 1 ELSE 0 END)) AS a(ValidName)
GROUP BY FirstName, ValidName


When applied to your query, it should be something like the following (untested, use the example above to build your query): 

select
       p.id,
       p.name,
       p.surname,
       p.adress,
       a.validity_name,
       b.validity_surname,
       sum(pr.value) as value
from   [dbo].[_data_CRM_COSTOMER] as p inner join
       [dbo].[_data_CRM_INVOICE] as r on (r.partner_id=p.id) 
        CROSS APPLY (VALUES(case when(p.name not like ('%!!!%') or p.name not like ('%XXX%') or p.name not like ('%???%')) then 0 else 1 END)) AS a(validity_name)
        CROSS APPLY (VALUES(CASE WHEN p.surname not like ('%!!!%') or p.surname not like ('%*XXX%') or p.surname not like ('%???%') then 0 else 1 END)) as b(validity_surname)
group by id, name, validity_name, surname, validity_surname, adress