Display column headers for missing data in SSRS matrix report
I need to create a matrix report using SQL Server Reporting Services (SSRS) that can show all months in the column header even for the months that have missing data.
Below is the yearly report and we see some months are missing data and therefore the column headers don't show.
The expected output is shown below:
This tip explains the steps to develop the matrix report to show column headers for all months even when there is no data for these columns.
For this solution, I am using the below T-SQL query to develop the SSRS report. As you can see, the below query is returning Sales Amount for all the employees for a given year. If we pass the year value we are going to get the data for the months within that year.
SELECT b.FirstName+' '+b.LastName as EmployeeName ,[SalesAmountQuota] ,MONTH([Date]) as CalenderMonth ,YEAR([Date]) as CalenderYear FROM [dbo].[FactSalesQuota] as a INNER JOIN [dbo].[DimEmployee] as b on a.EmployeeKey=b.EmployeeKey WHERE YEAR([Date])[email protected]
However, in this scenario there are a few months that have no data and therefore those months do not show in the matrix report headers. The idea is to modify the T-SQL query to include the missing months, so they display in the matrix headers.
SSRS Report Development
For this solution, I am using a T-SQL query from the AdventureworksDW2016 database and SQL Server Data Tools 2015 version in order to develop this SSRS report.
The first step is to modify the above query in order to include the missing months into the dataset. I will first declare a table variable called @months, then I will write the below T-SQL and using a loop to load the @months table will all the month numbered from 1 to 12.
DECLARE @months table (MonthNum int) DECLARE @i int =1 WHILE (@i<=12) BEGIN INSERT INTO @months(MonthNum) SELECT @i SET @[email protected]+1 END SELECT * FROM @months
Once we execute the above, we can see the output results will all the month numbers as shown in the below image.
Modifying the Existing T-SQL Query
The next step is to modify the existing report query to include the table variable @months. Using a LEFT JOIN to join the @months table to the FactSalesQuota table, in this case even if the main data table is missing data for few months we will still get all the months in the output, but the rest of the columns, other than MonthNumber, will have NULL values.
DECLARE @months table (MonthNum int) DECLARE @i int = 1 WHILE (@i < = 12) BEGIN INSERT INTO @months(MonthNum) SELECT @i SET @i = @ i + 1 END SELECT b.FirstName + ' ' + b.LastName as EmployeeName ,[SalesAmountQuota] ,m.MonthNum as CalenderMonth ,MONTH([Date]) as CalenderMonth_old ,YEAR([Date]) as CalenderYear FROM @months as m LEFT JOIN [dbo].[FactSalesQuota] as a on m.MonthNum=MONTH(a.[Date]) and YEAR([Date])[email protected] LEFT JOIN [dbo].[DimEmployee] as b on a.EmployeeKey=b.EmployeeKey
The next step is to update the report data set query with the above updated T-SQL code and then refresh the fields as shown in the below image.
After running the report, we can now see the matrix columns for all the months as shown in the below image.
However, there are couple of things we need to fix in this report.
We want to remove the records where Employee Name has no data. To do this we can remove blank employee rows by writing a simple filter expression on the Employee row group section in the SSRS report as shown below.
ISNOTHING(Fields!EmployeeName.Value) = FALSE
We also want to display 0ís instead of blank values. This can be done by writing an IIF expression on the value text box as shown in the below image.
After fixing the above two formatting items, we can rerun the report and now the report displays as needed.
- When you have the same or similar requirement you can follow these steps to develop a solution using T-SQL code and SSRS expressions.
- As you can see, we can easily display column headers even when data is missing by doing a few workarounds in our T-SQL code and formatting.
- Download the SSRS rdl file for this report
Last Updated: 2017-05-18
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