I've got a table with a number of rows. Let's say it has 2 columns called Value and Value Type. I've got a group on Value Type
Outside the group, I've got 2 rows. 1 for each value type (There's only 2 value types). I want to sum the values for each value type, but the issue appears that I can't reference more than one column.
So I can't do something like this as it's referencing two fields.
=SUM(IIF(Fields!ValueType.Value="Blah",Fields!Value.Value,0))
How do I get around this?
I figured it out. I just needed to use the phase Nothing, rather than 0.
Related
I'm having an issue in my SSRS report. What I'm trying to accomplish is get a correct summary total for a particular group, on field ClaimNumber
How the particular formula works is based on other fields in the record, and on of those values being zero:
=iif(Fields!FieldA.Value=0,0,Fields!FieldA.Value-Fields!FieldB.Value-Fields!FieldC.Value)
So if FieldA is zero, the displayed value is 0, otherwise it displays FieldA-FieldB-FieldC.
This works fine for each individual lineitem, but the summary totals on the grouping on ClaimNumber are incorrect, as in some cases the FieldA value under that particular ClaimNumber is 0, sometimes not. So I'm having trouble summing on the ClaimNumber grouping total, as the summary does not know which records FieldA is 0, and which are not.
There must be an SSRS custom code formula that would work in this situation?
If you wrap a Sum function around your expression, or even around each individual column in the expression, it's only going to evaluate that once. In other words, this describes the issue you're having where it's not accounting for some of the rows having 0 in FieldA. One way to correct this is to make your expression a calculated field on your dataset. Then you can Aggregate the calculated field to get totals and subtotals. Since it is a calculated field, it will be evaluated row by row to get the correct total. So the good news is: no custom code!
I am new to KNIME and I have a question, I have column splitter node that is outputting one column and one row. This will naturally have one value in the cell. I want to feed this value into a column of a table in KNIME. How do I do this?
I Don't see two way tables in KNIME.
You can use the Cross Joiner node to append the constant column. (There is also the Table Row to Variable and Constant Value Column combination if the constant value is one of the primitive types (String, Double, Int).)
You may need the RowID node to replace/restore the row ids.
I have a tablix with a column group so that it will create a column for that field provided any row has data for that column.
I need to create a version of this report that contains some empty columns on the end.
I want the number of columns to be added to be based on some factor of the non empty columns with some min/max constraints also. (my question is not how to get the number of columns required)
so far i've tried.
1 - adding individual empty columns to the tablix and setting the visibility condition on each column.
a bit long winded and a bit of a faff.
2 - creating another column group and grouping on the same field, this creates
cant vary the number of columns returned.
am i missing a simple way of adding x empty rows or columns to a tablix? where x can be calculated somehow from the values in the dataset.
You will have to fib this scenario in your data. The column-wise grouping works with known data including those falling in the column group value with null values. There is no way to grow your groups without data unless you add some column group footer logic that would be pretty weird.
I would look into producing phantom NULL value records that will push out your columns.
Is it possible to have the SUM of all numaric fields in the last of a set of rows?
As of now, I'm using a very simple query such as:
SELECT
*,
SUM((UNIX_TIMESTAMP(end) - UNIX_TIMESTAMP(start))/3600)
FROM
times
in SQL you cant have a column that appears in only one row, likewise, you also cant have a row that doenst contain all the columns from the other rows.. So having a row that contains something unique is not possible. You can, however, add the calculated column to all rows in the dataset or do the calculation in the calling code after the data is returned.
I think what you are looking for is GROUP BY WITH ROLLUP you will find details on that in the MySQL manual.
I need to display a particular column in my SQL result only if it is not null. If it is null, I don't want that column to appear at all in my result.
Is there a way to express this condition in SQL?
This wouldn't make sense because a query may return multiple rows. One row may have a value for the column in question and the next may not have a value. Then a conditional column would create a structural inconsistency between returned rows.
No, it is not...
It's not possible, and really unnecessary. You'll need to have a fixed number of columns, there's just no other way. But that isn't really your problem, you don't want that at all!
Queries are just to retrieve the data, not for the representation of the data. You should just retrieve it and hide the column if all the values are null.
SQL doesn't generally let you reason about properties of entire columns. Conditions are on properties of rows. So there's no way to say "if all the values in this set of this column are null...". However, you can trivially restrict yourself to rows that lack the property.
If you want to show a column only when it is not null for every row, you could do a COUNT(*) WHERE ... your general condition ... AND that_column IS NULL and then redo the query, including the column if the first result was 0 and excluding it otherwise. But I'm not sure why you'd want to do such a thing.