How can i solve the error: 'An expression of no-boolean type....

  • i'm getting the error: An expression on non-Boolean type specified in a context where a condition is expected.
    I have a report with multiple matrix with different RowGrouping. e.g matrix 1 is grouped on staff member, matrix 1 grouped on StockItems. the matrix are displayed based on parameter = @Dimension and it's a multiple select so the visibility expression is: =InStr(Join(Parameters!Dimension.Value,","),1)<=0

    in the sql query I used two separate if's. the first IF statement get's data for the StockDescription matrix and the second If pulls data for the other matrix.
    IF @Dimension = 2
    then 'SELECT * from Table1'
    end
    IF @Dimension <> 2
    begin
    'SELECT * from Table2
    END
    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
    i'm getting error when selecting multiple @Dimension when I run the report.

  • I may be mistaken on this, but I think that the problem is that @Dimension is not containing a single int value.  You say that it is multiple selects.  So I am expecting that @Dimension is going to return an array like structure.
    So as soon as more than 1 value is selected, you end up with @Dimension being something like (1, 2, 3).  So when you have "IF @Dimension = 2", you are saying "IF (1, 2, 3)  = 2".
    If you are wanting to check if @Dimension contains 2, you would likely get better results by using "IF 2 IN (@Dimension)".  If you are wanting to know if @Dimension equals 2, you will likely want to store the value into a separate string variable and do your comparison that way.  Depending on how many selections you ahve in @Dimension, you may want to turn the selection list into a comma separated list and store that for doing the comparison (using =JOIN).

    Now, I could be misunderstanding what you are asking, but I think the problem is due to @Dimension containing multiple values and that it works as expected with a single value for @Dimension.  Ist that correct?

    The above is all just my opinion on what you should do. 
    As with all advice you find on a random internet forum - you shouldn't blindly follow it.  Always test on a test server to see if there is negative side effects before making changes to live!
    I recommend you NEVER run "random code" you found online on any system you care about UNLESS you understand and can verify the code OR you don't care if the code trashes your system.

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