Name

Name of the constraint.

Type

Select Based on the value of an attribute or function.

Function

Function used for the custom constraint (described below).

Metric

MBean attribute or scalar values required by the specified function. The number of fields displayed depends on the function selected.

Use the following format when entering MBean attributes: [instance-type|instance-name|attribute-name]

Where:

• instance-type: MBean type. For example, weblogic.management.runtime.ServerRuntimeMBean.
• instance-name: Name of the MBean. For example: com.bea:Name=ManagedServer1,Type=ServerRuntime. For a collection, you might specify the name using a wildcard (*): com.bea:Name=*,Type=ServerRuntime
• attribute-name: Name of the MBean attribute. For example: State.

If you want the metric to appy to multiple instances, you can specify .* for instance-name. For more information about the MBean attributes, see WebLogic Server MBean Reference.

For example: [weblogic.management.runtime.ServerRuntimeMBean|.*|RestartsTotalCount]

Click Browse to browse the list of MBeans and select the attribute.

Note: Attributes with complex types are not valid for selection.

Abs(x)

Absolute value of the specified attribute.

Difference(x, y)

Difference between two attributes (x-y).

DifferenceWithScalar(x, s)

Difference between the specified attribute and a scalar value (x-s).

HighModeOfCollection(c)

Highest value that occurs most frequently in the collection of attributes. For example, if the returned values are 1 2 3 3 4 5 5 6 7, the function returns 5.

Inverse(x)

Inverse value of an attribute (1/x).

LowModeOfCollection(c)

Lowest value that occurs most frequently in the collection of attributes. For example, if the returned values are 1 2 3 3 4 5 5 6 7, the function returns 3.

Max(x)

Maximum observed value for the attribute.

MaxOfCollection(c)

Maximum observed value for the collection.

MeanOfCollection(c)

Statistical average observed value for the collection.

MedianOfCollection(c)

Statistical median observed value for the collection.

MinOfCollection(c)

Minimum observed value for the collection.

Negative(x)

Negative value of the attribute.

Over(x,s)

Upper threshold value (s) for specified attribute. If the value of x is greater than s, then the function returns 1. Otherwise, the function returns 0.

OverMetric(x,y)

Upper threshold attribute value (y) for specified attribute. If the value of x is greater than s, then the function returns 1. Otherwise, the function returns 0.

Product(x,y)

Product of the specified attributes (x*y).

ProductWithScalar(x,s)

Product of the specified attribute and scalar values (x*s).

Ratio(x,y)

Ratio of the specified attributes (x/y).

RatioWithScalar(x,s)

Ratio of the speicifed attribute and scalar values (x/s).

Size(c)

Number of values in the collection.

StandardDeviationOfCollection(c)

Standard deviation of attributes in the collection.

Sum(x,y)

Sum of the specified attributes (x+y).

SummationOfCollection(c)

Sum of the collection of attributes.

SumWithScalar(x,s)

Sum of the specified attribute and scalar values (x+s).

Under(x,s)

Lower threshold value (s) for specified attribute. If the value of x is greater than s, then the function returns 1. Otherwise, tjhe function returns 0.

UnderMetric(x,y)

Lower threshold value (y) for specified attribute. If the value of x is greater than s, then the function returns 1. Otherwise, the function returns 0.