metric
The The following JSON schema describes the data format of the Syntax: The functions and operators that you can use in expressions are described below. Conditional functions: Operators: Relational operators: A relational expression or sub-expression evaluates to 1 if it is true, or 0 if it is false. You can use parentheses to modify the order of the operations, i e apply precedence rules. Example. Expressions Arithmetic expression: Expression using conditional function: Relational expression: In the case of division by zero, the value of the output of the expression will be positive infinity, negative infinity, or NaN (Not a Number) as defined in the JVM specification. Example - JSON Representationmetric
objects represent values that are extracted from KDR
UDRs and aggregated according to the tree structure in the model. Expressions are applied on the various fields in the UDRs to calculate a value, e g a sum, average, or min/max value.metric
object type:Property Description fun fun
must contain a string that identifies one of the following aggregation functions:avg
- This function yields the average result of the expression
.min
- This function yields the minimum result of the expression
.max
- This function yields the maximum result of the expression
.sum
- This function yields the sum of results from expression
.expr expr
must contain an arithmetic or relational expression (or combination thereof) based on the fields in the KDR
input and/or constant values."<KDR.type>" : "<expression>"
isSet(<field>)
- Returns 1 if the field is set to a value, otherwise 0isNotSet(<field>)
- Returns 1 if the field is not set to a value, otherwise 0+
- Addition-
- Subtraction/negation*
- Multiplication/
- Division=
- Equal!=
- Not equal>
- Greater than<
- Less than"expr": {
"kdr_record_type_a": "field2-field1",
"kdr_record_type_b": "field3"
}
"expr": {
"kdr_record_type_a": "isSet(field1)"
}
"expr": {
"kdr_record_type_a": "field2<(field1+10)"
}
"metric": {
"TotalNumber": {
"fun": "sum",
"expr": {
"kdr_record_type_a": "isSet(field1)"
}
},
"TotalSuccessful": {
"fun": "sum",
"expr": {
"kdr_record_type_a": "field1=200"
}
},
"AvgDuration": {
"fun": "avg",
"expr": {
"kdr_record_type_a": "field2-field1",
"kdr_record_type_b": "field3"
}
}
}