8. The Group by example
The database entry departmentEmployeesGrouping.xre shows
how to use the "group by" feature. The example takes as input a list of
employees and groups them by status (in the test file there are 2
status, active and inactive).
For grouping 2 areas are required,
![](data:image/png;base64,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)
one group header and one group detail:
- The group header must contain the value use for grouping in the "XML
group by" property. In this example the status element. You must also
set the value for "XML Node", these are the nodes you will be
grouping, in this case persons.
![](data:image/png;base64,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)
In the group header you can output the value of the element you are
grouping by (in this case status).
Group detail areas have the following restrictions:
- the value for the XML Node property will be inherited from the
header.
- the XML Group by property may not be used.
Note nested groups are not supported.
Group footers
The example departmentEmployeesGrouping_footer.xre shows
how to create group footers. Group footers are used to show total
fields of the values in the group for each value being grouped. In the
example the group footer is used to show the total number of employees
for each status.
Group footers have to be implemented as follow:
- create a new area placed after the group detail area. In the example
the footer area is the "detail 2" area.
![](data:image/png;base64,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)
- The footer area must have as "super area" the "group header". In our
example the super area of "detail 2" is "detail 1" which is the group
header.
- If you want to count or sum the fields of the current group you use
an xpath expression like this one:
count(/departments/department/person[status = current()/status])
this means, count all persons (/departments/department/person)
whose status has the same value as the current's group status. Note we
are grouping by status so when this is executed for the "active"
employees status, it will count all employees whose status is
"active".
Let's assume each person has a child element called "salary", we could
sum all salaries of the employees in the current status like this:
sum(/departments/department/person[status =
current()/status]/salary)
this means select the salary of all employee whose status is the same
status as the current group and then sum all selected salaries.