Applies to:  CELONIS 4.0 CELONIS 4.2 CELONIS 4.3 CELONIS 4.4 

Description

Calculates the average of the specified column for each element of the given parent table.

Like the regular AVG operator, the column can either be an INT or FLOAT column. The data type of the result is the same as the data type of the input column.

If no value in the child table exists for the element in the parent table (either because all values of the child table column are filtered out, or because no corresponding value exists in the first place), NULL will be returned.

Syntax

PU_AVG ( parent_table, child_table.column [, filter_expression] )

Examples

Calculate the average of the case table values for each company code:

Query
Column1
"companyDetail"."companyCode"
Column2
PU_AVG("companyDetail", "caseTable"."value")
Input
caseTable
caseId : INTcompanyCode : STRINGvalue : INT
1
'001'
600
2
'001'
400
3
'001'
200
4
'002'
300
5
'002'
300
6
'003'
200
companyDetail
companyCode : STRINGcountry : STRING
'001''DE'
'002''DE'
'003''US'

Foreign Keys
caseTable.companyCodecompanyDetail.companyCode
Output
Result
Column1 : STRINGColumn2 : INT
'001'
400
'002'
300
'003'
200



Calculate the average of the case table values for each company code. Only consider cases with an ID larger than 2:

Query
Column1
"companyDetail"."companyCode"
Column2
PU_AVG("companyDetail", "caseTable"."value", "caseTable"."caseID" > 2)
Input
caseTable
caseId : INTcompanyCode : STRINGvalue : INT
1
'001'
600
2
'001'
400
3
'001'
200
4
'002'
300
5
'002'
300
6
'003'
200
companyDetail
companyCode : STRINGcountry : STRING
'001''DE'
'002''DE'
'003''US'

Foreign Keys
caseTable.companyCodecompanyDetail.companyCode
Output
Result
Column1 : STRINGColumn2 : INT
'001'
200
'002'
300
'003'
200



Calculate the sum of the case table values for each company code. Only consider cases with an ID larger than 3. All case table values for companyCode '001' are filtered out, which means that in this case, NULL is returned.

Query
Column1
"companyDetail"."companyCode"
Column2
PU_AVG("companyDetail", "caseTable"."value", "caseTable"."caseID" > 3)
Input
caseTable
caseId : INTcompanyCode : STRINGvalue : FLOAT
1
'001'
600.0
2
'001'
400.0
3
'001'
200.0
4
'002'
300.0
5
'002'
300.0
6
'003'
200.0
companyDetail
companyCode : STRINGcountry : STRING
'001''DE'
'002''DE'
'003''US'

Foreign Keys
caseTable.companyCodecompanyDetail.companyCode
Output
Result
Column1 : STRINGColumn2 : FLOAT
'001'
null
'002'
300.0
'003'
200.0



Example over three tables: For each entry in table B, calculate the average of the values that are larger than 100 in table C. Tables B and C do not have a direct connection, but are connected via table A:


Query
Column1
"B"."B_KEY"
Column2
PU_AVG("B", "C"."VALUE", "C"."VALUE" >100)
Input
A
B_KEY : INTC_KEY : STRINGVALUE : INT
1
'A'
100
1
'B'
200
2
'C'
300
2
'D'
400
3
'E'
500
3
'F'
600
B
B_KEY : INT
1
2
C
C_KEY : STRINGVALUE : INT
'A'
400
'A'
100
'A'
200
'B'
100
'C'
200
'D'
500

Foreign Keys
C.C_KEYA.C_KEY
B.B_KEYA.B_KEY
Output
Result
Column1 : INTColumn2 : INT
1
300
2
350



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