is it possible to have a sum in detail band in iReport?
It is important to have cells merged vertically after export to excel like this:
-----------------------------
| id | year | value | sum |
-----------------------------
| | 2010 | 55 | |
| 1 | 2011 | 65 | 180 |
| | 2012 | 60 | |
-----------------------------
| 2 | 2010 | 70 | 70 |
-----------------------------
My idea is to have the main query with GROUP BY clause and for "year" and "value" use table component with another query. Problem is that my query is long running and i need to have only one in whole report.
First have a look at here. It's about grouping rows.
You will see that you should create a group in your report, not in the query depending on your id field.
For calculating the sum field, drag the value field to the column footer, and then you will see a pop-up menu. Click to the result of an aggregation function radio button, then choose sum function. This will create a variable to calculate the sum of the value field. Change this variable's reset type to group (to id_group). Use this field in your sum field.
For grouping rows depending on id, click on the sum field and set this field's print when group changes to id_group.
this should help :)
when you group your fields your table will look like this. The grouped fields are at the top.
-----------------------------
| id | year | value | sum |
-----------------------------
| 1 | 2010 | 55 | 180 |
| | 2011 | 65 | |
| | 2012 | 60 | |
-----------------------------
| 2 | 2010 | 70 | 70 |
-----------------------------
Related
I am having multiple criteria to give incentive to my employees. For example as shown in below image
Grid Table is dynamic in nature. It keeps on changing based on business conditions.
I have a table where I have emp Ids whose Resolution % I have calculated and also calculated their Normalization %. Now, I need to give them % Incentives based on the above Grid using SQL Query.
Output Table in which i need to update the incentives
I assume the grid table is also stored as a database table (so you can update it):
+-----------------+---------------+--------------------+------------------+-----------+
| INCENTIVES |
+-----------------+---------------+--------------------+------------------+-----------+
| from_resulution | to_resolution | from_normalization | to_normalization | incentive |
+-----------------+---------------+--------------------+------------------+-----------+
| 0 | 70 | 0 | 5 | 9 |
| 0 | 70 | 5 | 10 | 11 |
| 0 | 70 | 10 | 100 | 13 |
| 71 | 75 | 0 | 5 | 10 |
... I hope you get the idea
+-----------------+---------------+--------------------+------------------+-----------+
And the update query can be:
update employee E
set E.incentive = (select I.incentive
from incentives I
where e.resolution >= I.from_resolution
and e.resolution < I.to_resolution
and e.normalization >= I.from_normalization
and e.normalization < I.to_normalization)
UPDATE: the TO values are not in the scope of the range. By using the TO value equal to the FROM value of the next range we assure to cover all values (including floating point). Thanks to Gordon
I have a table of the following form:
Date | Value
01/01 | 10
01/02 | 11
01/03 | 12
and so on for distinct dates of a month. I need to rotate this view and show all the dates as columns and corresponding values underneath each of the dates as column headers. The idea is to join such a rotated table against a reference table:
Product ID | Name
A123 | Axle
B234 | Bearing
and repeat across all the rows something like:
Product ID | Name | 01/01 | 01/02 | ... | 01/31
A123 | Axle | 10 | 11 | ... | 100
B234 | Bearing | 10 | 11 | ... | 100
The values above 10,11,..etc, can be static as in the first table of dates above. Suggestions? I tried using pivot but I do not want an aggregation.
I have data on approx 1000 individuals, where each individual can have multiple rows, with multiple dates and where the columns indicate the program admitted to and a code number.
I need each row to contain a distinct date, so I need to delete the rows of duplicate dates from my table. Where there are multiple rows with the same date, I need to keep the row that has the lowest code number. In the case of more than one row having both the same date and the same lowest code, then I need to keep the row that also has been in program (prog) B. For example;
| ID | DATE | CODE | PROG|
--------------------------------
| 1 | 1996-08-16 | 24 | A |
| 1 | 1997-06-02 | 123 | A |
| 1 | 1997-06-02 | 123 | B |
| 1 | 1997-06-02 | 211 | B |
| 1 | 1997-08-19 | 67 | A |
| 1 | 1997-08-19 | 23 | A |
So my desired output would look like this;
| ID | DATE | CODE | PROG|
--------------------------------
| 1 | 1996-08-16 | 24 | A |
| 1 | 1997-06-02 | 123 | B |
| 1 | 1997-08-19 | 23 | A |
I'm struggling to come up with a solution to this, so any help greatly appreciated!
Microsoft SQL Server 2012 (X64)
The following works with your test data
SELECT ID, date, MIN(code), MAX(prog) FROM table
GROUP BY date
You can then use the results of this query to create a new table or populate a new table. Or to delete all records not returned by this query.
SQLFiddle http://sqlfiddle.com/#!9/0ebb5/5
You can use min() function: (See the details here)
select ID, DATE, min(CODE), max(PROG)
from table
group by DATE
I assume that your table has a valid primary key. However i would recommend you to take IDas Primary key. Hope this would help you.
I have seen many similar questions but none that meet my needs exactly, and I cannot seem to deduce a solution on my own from inspecting the other questions.
I have the following (mock) table below. My actual table has many more columns.
TableA:
ID | color | feel | size | alive | age
------------------------------------------
1 | blue | soft | large | true | 36
2 | red | soft | large | true | 36
2 | blue | hard | small | false | 37
2 | blue | soft | large | true | 36
2 | blue | soft | small | false | 39
15 | blue | soft | medium | true | 04
15 | blue | soft | large | true | 04
15 | green | soft | large | true | 15
40 | pink | sticky | large | true | 83
51 | brown | rough | tiny | false | 01
51 | gray | soft | tiny | true | 59
34 | blue | soft | large | true | 02
I want the result to look like:
Result of query on TableA:
ID | color | feel | size | alive | age
-------------------------------------------
1 | blue | soft | large | true | 36
2 | red | soft | large | true | 36
15 | blue | soft | medium | true | 04
40 | pink | sticky | large | true | 83
51 | brown | rough | tiny | false | 01
34 | blue | soft | large | true | 02
I want one row for every unique ID column, but I do not want to check the other columns. I need the other columns returned in my result set, but I do not want to filter on them. I just need one row for every unique ID - I do not care which row.
In my example, I selected the first row of every unique ID.
I have tried variations of
select *
from TableA
group by ID having ID = max(ID)
Most examples I have seen with group by and max and/or min functions involve only 2 columns. I have many more columns, however.
I have also seen examples using CTE, but I am not using SQL Server (I am using Sybase).
How can I achieve the result set described?
EDIT
We are using Sybase version 15.1.
Your solution with MIN has some drawbacks. It doesn't return you a specific row but MIN values from the group of rows. You can get as result rows which are not in database. Is it OK for you ?
Row_number is supported in sybase 15.2
http://infocenter.sybase.com/help/index.jsp?topic=/com.sybase.infocenter.dc38151.1520/html/iqrefbb/iqrefbb262.htm
It's sad if it is not supported in 15.1. You can use then identity column and temporary table to achieve what you want.
There are a variety of ways to do this. If you have a more recent version of Sybase, you can use row_number():
select t.*
from (select t.*, row_number() over (partition by id order by id) as seqnum
from table t
) t
where seqnum = 1;
The solution I have come up with is below.
It "feels" like a poor solution - I am still open to new answers:
SELECT
ID,
min(color),
min(feel),
min(size),
min(alive),
min(age)
FROM TableA
group by ID
I do not like how verbose I am with the application of the min function to every column, but this returns the desired result set.
I have a report in reporting services. In this report, I am displaying the Top N values. But my Grand Total is displaying the sum of all the values.
Right now I am getting something like this.Here N = 2
+-------+------+-------------+
| Area |ID | Count |
+-------+------+-------------+
| - A | | 4 |
| | a1 | 1 |
| | b1 | 1 |
| | c1 | 1 |
| | d1 | 1 |
| | | |
| - B | | 3 |
| | a2 | 1 |
| | b2 | 1 |
| | c2 | 1 |
| | | |
|Grand | | 10 |
|Total | | |
+-------+------+-------------+
The correct Grand Total should be 7 instead of 10. A and B are toggle items(You can expand and contract)
How can I display the correct Grand Total using Top N filter?
I also want to use the filter in the report and not in the SQL query.
You should use the filter on the Dataset. Filtering the report object itself only turns off the items (rows, for example) visibility. The item / row itself will still be part of the group and will be used for calculations.
I found a way to solve my question. As Ido said I worked on the dataset. I am using Analysis Cube. So in this cube I created a Named Set Calculation.
In this set I used the TopCount() function. It filters out the TOP N values where N can be integer according to your choice.
So the final Named Set in this case is :-
TopCount([Dim Area].[Area].[Area], 2, ([Measures].[Count]))
This will give you Grand total of Top N filtered values.