I am working on a ssrs report with column grouping. the followin is my scenario.
Matrix 1:
ID 2012 2013
1 20 40
1 30 50
Total 50 90
Matrix 2:
ID 2012 2013
1 60 70
1 60 80
Total 120 150
I need the sum of matrix1 and matrix2 like below:
ID 2012 2013
1 170 240
But I got the result like :
ID 2012 2013
1 410 410
I have applied column grouping in all the 3 matrices and gave the expression to get sum for matrix 3 as: =Sum(Fields!amount1.Value, "dsmatrix1") + Sum(Fields!Tamount1.Value, "dsmatrix2")
Please help me to get a solution for this.
Thanks!
I think I know what's going on. Correct me if I'm wrong.
Based on what I'm seeing, I'm guessing that Matrix 1 and Matrix 2 only have three fields each, an ID field, an amount field (being "amount1" or "Tamount1"), and a year field.
Your column grouping is manipulating the display of the data to show all values broken out by year. This works fine when looking at data from a single dataset. However, your formula is specifying that the sum of everything in the Amount1 field of dsmatrix1 and the Tamount1 field of dsmatrix2 should be added. This does not take into account the column grouping. Your expression is essentially taking all of the values from both datasets and adding them together.
Not knowing more about your query structure or how the data is filtered, my best guess is that you need another SQL dataset. In this case, you would take the queries from your two previous datasets and union them with the "Union All" command. Note that you will want to use Union All and not just Union. More on that here: What is the difference between UNION and UNION ALL?
Your end result should look something like this:
--This will be your dsmatrix1 query copied and pasted
Select ...
Union All
--This will be your dsmatrix2 query copied and pasted
Select ...
--Place one single Order by clause at the bottom
Order by ...
Note: for your two queries to be unioned properly, you'll need to make sure that each have the same number of fields, each with the same data types. Then you can point your third matrix to the new dataset.
Hope that helps!
Related
I'm not sure if SSRS is dumb, or I am (I'm leaning towards both).
I have a dataset that (as a result of joins etc) has some columns with the same values duplicated across every row (fairly standard database stuff):
rid cnt bid flg1 flg2
-------------------------------
4 2882 1 17 3
5 2784 1 17 3
6 1293 1 17 3
18 9288 2 4 9
20 762 2 4 9
Reporting based on cnt is straightforward enough. I can also make a tablix that shows the following:
bid flg1 flg2
------------------
1 17 3
2 4 9
(Where the tablix is grouped by Fields!bid.Value and the columns are just Fields!flg1.Value and Fields!flg2.Value respectively.)
What I can't figure out is how to display the sum of these values -- specifically I want to show that the sum of flg1 is 21 and the sum of flg2 is 12 -- not the sum of every row in the dataset (counting each value more than once).
(Note that I'm not looking for a sum of distinct values, as they may not be unique. I want a sum of one value from each bid group, because it's from a table join so they will always have the same value.)
If possible, I'd also like to be able to do a similar calculation at the top level of the report (not in any tablix); although I'd settle for hiding the detail row if that's the only way.
Obviously, Sum(Fields!flg1.Value) isn't the answer, as this either returns 51 (if on the first row inside the group) or 59 (if outside it).
I also tried Sum(Fields!flg1.Value, "bid") but this wasn't considered a valid scope.
I also tried Sum(First(Fields!flg1.Value, "bid")) but apparently you're not allowed to sum first values for some weird reason (and may have had the same scope problem anyway).
Using Sum(Max(Fields!flg1.Value, "bid")) does work, but feels wrong. Is there a better way to do this?
(Related: is there a good way to save the result of that calculation so that I can later also show a Sum of those totals without an even hairier expression?)
There are two basic ways to do this.
Do what you have already done (Sum(Max(Fields!flg1.Value, "bid")))
Sum the rendered values. To do this check the name of the cell containing the data you want (check it's properties) and then use something like =SUM(ReportItems!flg1.Value) where flg1 is the name of the textbox, which is not necessarily always the same name as the field.
pnr mnd pris
1 1 600
1 7 900
2 1 600
2 7 600
3 1 40
3 7 40
I have trouble how to sum specific rows on the columns. Looking at the above, the table is called travel and it has 3 columns:
pnr - Personal Number
mnd - Month
Pris - Price
So what I want is to sum total of the price for the a specific month, so in this case, it should be 1240 USD and month 1. For the month 7, it should be 1540 USD.
I have trouble to do the query correct. So far from I have tried is this:
SELECT t.rnr, t.mnd, SUM(t.pris)
FROM travel AS t
WHERE t.mnd = 1
The result I get is 3720 USD which I have no idea how the SQL managed to calculate this for me.
Appreciate if someone could please help me out!
For this you need to drop the pnr column from the output (it is not relevant and will cause your data to split) and add a GROUP BY:
SELECT t.mnd, SUM(t.pris)
FROM travel AS t
WHERE t.mnd = 1
GROUP BY t.mnd
Live demo: https://dbfiddle.uk/?rdbms=mysql_8.0&fiddle=b34ec2bb9c077c2d74ffc66748c5c142
(The use of an aggregate function without grouping, as you've got now, is not a standard SQL feature and can often be turned off in MySQL. If turned on, you might not always get the result you expected/intended.)
just group your result with mnd column
SELECT t.mnd, SUM(t.pris)
FROM travel AS t
group by t.mnd
Is there a way to use an Over and Intersect function to get the average sales for the first 3 periods (not always consecutive months, sometimes a month is skipped) for each Employee?
For example:
EmpID 1 is 71.67 ((80 + 60 + 75)/3) despite skipping "3/1/2007"
EmpID 3 is 250 ((350 + 250 + 150)/3).
I'm not sure how EmpID 2 would work because there are just two data points.
I've used a work-around by calculated column using DenseRank over Date, "asc", EmpID and then used another Boolean calculated column where DenseRank column name is <= 3, then used Over functions over the Boolean=TRUE column but I want to figure the correct way to do this.
There are Last 'n' Period functions but I haven't seen anything resembling a First 'n' Period function.
EmpID Date Sales
1 1/1/2007 80
1 2/1/2007 60
1 4/1/2007 75
1 5/1/2007 30
1 9/1/2007 100
2 2/1/2007 200
2 3/1/2007 100
3 12/1/2006 350
3 1/1/2007 250
3 3/1/2007 150
3 4/1/2007 275
3 8/1/2007 375
3 9/1/2007 475
3 10/1/2007 300
3 12/1/2007 200
I suppose the solution depends on where you want this data represented, but here is one example
If((Rank([Date],"asc",[EmpID])<=3) and (Max(Rank([Date],"asc",[EmpID])) OVER ([EmpID])>=3),Avg([Sales]) over ([EmpID]))
You can insert this as a calculated column and it will give you what you want (assuming your data is sorted by date when imported).
You may want to see the row numbering, and in that case insert this as a calculated column as well and name it RN
Rank([Date],"asc",[EmpID])
Explanation
Rank([Date],"asc",[EmpID])
This part of the function is basically applying a row number (labeled as RN in the results below) to each EmpID grouping.
Rank([Date],"asc",[EmpID])<=3
This is how we are taking the top 3 rows regardless if Months are skipped. If your data isn't sorted, we'd have to create one additional calculated column but the same logic applies.
(Max(Rank([Date],"asc",[EmpID])) OVER ([EmpID])>=3)
This is where we are basically ignoring EmpID = 2, or any EmpID who doesn't have at least 3 rows. Removing this would give you the average (dynamically) for each EmpID based on their first 1, 2, or 3 months respectively.
Avg([Sales]) over ([EmpID])
Now that our data is limited to the rows we care about, just take the average for each EmpID.
#Chris- Here is the solution I came up with
Step 1: Inserted a calculated column 'rank' with the expression below
DenseRank([Date],"asc",[EmpID])
Step 2: Created a cross table visualization from the data table and limited data with the expression below
I am developing an SSRS report with the following dataset. There is a filter for 'Period'. It is a multi-select filter. Data is grouped by 'Account' field. I need to display Total Expense for each group (which was easy). I also need to display 'Budget' on the same group level. The problem is the budget data is redundant - see below.
Say for the first group (Account=100 AND Period=201301), Sum([Budget]) would generate 200, which is not true. I can use the Average function which helps if user selects only one Period from the filter. If they select multiple values (e.g. 201301,201302) then the average will be (100+100+150+150)/4=125, which would be wrong because it has to be 100+150=250. I don't want to average among all rows in the returned dataset.
ID Account Period Expense Budget
1 100 201301 20 100
2 100 201301 30 100
3 100 201302 10 150
4 100 201302 40 150
5 200 ...................
So, how do I write an expression to make this happen?
A dirty workaound would be to eliminate redundant values in the Budget column so I can safely use Sum([Budget]) w/o worrying about duplication. The updated dataset would look like this:
ID Account Period Expense Budget
1 100 201301 20 100
2 100 201301 30 NULL
3 100 201302 10 150
4 100 201302 40 NULL
5 200 ...................
Please advice for either approach. Thank you.
The most elegant way is to use the FIRST() aggregate function.
=FIRST(Fields!Budget.Value, "MyAccountGroupName")
There are some situations where this won't work. Then you need to move the logic to your query as you describe or you can get fancy with embedded code in your report.
I would follow your "dirty workaround" approach. You might possibly be able to achieve the result just inside SSRS with some fancy calculations, but it will be totally obscure.
I would like help with sql query code to push the consequent data in a specific column down by a row.
For example in a random table like the following,
x column y column
6 6
9 4
89 30
34 15
the results should be "pushed" down a row, meaning
x column y column
6 null or 0 (preferably)
9 6
89 4
34 30
SQL tables have no inherent concept of ordering. Hence, the concept of "next row" does not make sense.
Your example has no column that specifies the order for the rows. There is no definition of next. So, what you want to do cannot be done.
I am not aware of a simple way to do this with the way you are showing the table being formatted. If your perhaps added two consecutively numbered integer fields that provide row number and row number + 1 values, you could join the table to itself and get that information.
After taking a backup of you table:
Make a PHP function that will:
- Load all values of Y into an array
- Set Y = 0 (MYSQL UPDATE)
- load the values back from PHP array to MYSQL