groupdataconnection
Properties
Name |
Type |
Required |
Description |
---|---|---|---|
datadefinition |
yes |
Id of a data definition that will supply the source data that this data definition will group |
Sub-tags
Name |
Type |
Cardinality |
---|---|---|
parameter |
1..n |
Content
None
parameter
Properties
Name |
Type |
Required |
Default |
Description |
---|---|---|---|---|
type |
'string', 'int', 'date' or 'url' |
no |
'string') |
An indicator of how the data should be displayed on the client |
name |
string |
no |
lowercase value of column |
A unique identifier for the parameter |
label |
string |
no |
'pretty' value of column |
A user displayable label for the column |
column |
ref |
no |
'pretty' value of column |
A user displayable label for the column |
Sub-tags
None
Content
None
Notes
- The
column
attribute either references a parameter in the source data definition or it uses one of the following formulassum(parameter)
- The average value of theparameter
avg(parameter)
- The average value of theparameter
min(parameter)
- The average value of theparameter
max(parameter)
- The average value of theparameter
count()
- The count of the records in the grouprownum()
- The row number of the recorddate()
- The current date
- If no
label
is specified then it will be generated by formatting thename
, unless noname
is supplied, then it will be generated by formatting thecolumn
- Formatting involves converting any _'s to spaces, converting the first letter and any letter after a space to upper case and converting every other letter to lower case, e.g. "BOMB_DISPOSAL_METHOD" becomes "Bomb Disposal Method"
Examples
Given the following data definition describing a table that contains a unique 'id' for each row, a non-unique 'group' for each row, a 'value' and a 'date' when that value was recorded.
<data:datadefinition id="test.source"> <datasourcedataconnection datasource="test.datasource" table="TESTDATA" key="ID"> <parameter name="group" label="Group" column="GROUP"/> <parameter name="date" label="Date column="DATE" type="date"/> <parameter name="value" label="Value" column="VALUE" type="integer" /> </datasourcedataconnection> </data:datadefinition>
representing this table
ID |
GROUP |
DATE |
VALUE |
---|---|---|---|
0 |
A |
1-jan-2000 |
1 |
1 |
A |
2-jan-2000 |
3 |
2 |
A |
3-jan-2000 |
1 |
3 |
B |
1-jan-2000 |
2 |
4 |
B |
2-jan-2000 |
5 |
5 |
B |
3-jan-2000 |
3 |
6 |
C |
1-jan-2000 |
4 |
7 |
C |
2-jan-2000 |
2 |
8 |
C |
3-jan-2000 |
2 |
9 |
C |
4-jan-2000 |
1 |
This example
<!-- Create a new data definition that groups all of the values --> <data:datadefinition id="test.group"> <groupdataconnection datadefinition="test.source"> <parameter name="sum" label="Sum" column="sum(value)"/> <parameter name="avg" label="Average" column="avg(value)"/> <parameter name="min" label="Minimum" column="min(value)"/> <parameter name="max" label="Maximum" column="max(value)"/> <parameter name="count" label="Count" column="count(1)"/> </groupdataconnection> </data:datadefinition>
will generate this
sum |
avg |
min |
max |
count |
---|---|---|---|---|
24 |
2.4 |
1 |
5 |
10 |
This example
<!-- Create a new data definition that groups the values based on their 'group' value --> <data:datadefinition id="test.group"> <groupdataconnection datadefinition="test.source"> <parameter name="group" label="Group" column="group"/> <parameter name="sum" label="Sum" column="sum(value)"/> <parameter name="avg" label="Average" column="avg(value)"/> <parameter name="min" label="Minimum" column="min(value)"/> <parameter name="max" label="Maximum" column="max(value)"/> <parameter name="count" label="Count" column="count(1)"/> </groupdataconnection> </data:datadefinition>
will generate this
group |
sum |
avg |
min |
max |
count |
---|---|---|---|---|---|
A |
5 |
1.66 |
1 |
3 |
3 |
B |
10 |
3.33 |
2 |
5 |
3 |
C |
9 |
2.25 |
1 |
4 |
4 |
This example
<!-- Create a new data definition that groups the values based on their 'date' value --> <data:datadefinition id="test.group"> <groupdataconnection datadefinition="test.source"> <parameter name="group" label="Group" column="date"/> <parameter name="sum" label="Sum" column="sum(value)"/> <parameter name="avg" label="Average" column="avg(value)"/> <parameter name="min" label="Minimum" column="min(value)"/> <parameter name="max" label="Maximum" column="max(value)"/> <parameter name="count" label="Count" column="count(1)"/> </groupdataconnection> </data:datadefinition>
will generate this
group |
sum |
avg |
min |
max |
count |
---|---|---|---|---|---|
1-jan-2000 |
7 |
2.33 |
1 |
4 |
3 |
2-jan-2000 |
10 |
3.33 |
2 |
5 |
3 |
3-jan-2000 |
6 |
2 |
1 |
3 |
3 |
4-jan-2000 |
1 |
1 |
1 |
1 |
1 |