com.oracle.bmc.datascience.model

Class CustomExpressionQueryScalingConfiguration.Builder

java.lang.Object

com.oracle.bmc.datascience.model.CustomExpressionQueryScalingConfiguration.Builder

Enclosing class:

CustomExpressionQueryScalingConfiguration

public static class CustomExpressionQueryScalingConfiguration.Builder
extends Object

Constructor Summary

Constructors

Constructor and Description
Builder()

Method Summary

Modifier and Type	Method and Description
CustomExpressionQueryScalingConfiguration	build()
CustomExpressionQueryScalingConfiguration.Builder	copy(CustomExpressionQueryScalingConfiguration model)
CustomExpressionQueryScalingConfiguration.Builder	instanceCountAdjustment(Integer instanceCountAdjustment)
CustomExpressionQueryScalingConfiguration.Builder	pendingDuration(String pendingDuration)
CustomExpressionQueryScalingConfiguration.Builder	query(String query) The Monitoring Query Language (MQL) expression to evaluate for the alarm.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Builder

public Builder()

Method Detail

pendingDuration

public CustomExpressionQueryScalingConfiguration.Builder pendingDuration(String pendingDuration)

instanceCountAdjustment

public CustomExpressionQueryScalingConfiguration.Builder instanceCountAdjustment(Integer instanceCountAdjustment)

query

public CustomExpressionQueryScalingConfiguration.Builder query(String query)

The Monitoring Query Language (MQL) expression to evaluate for the alarm. The Alarms feature of the Monitoring service interprets results for each returned time series as Boolean values, where zero represents false and a non-zero value represents true. A true value means that the trigger rule condition has been met. The query must specify a metric, statistic, interval, and trigger rule (threshold or absence). Supported values for interval: 1m-60m (also 1h). You can optionally specify dimensions and grouping functions. Supported grouping functions: grouping(), groupBy().

Example of threshold alarm:

-----

CPUUtilization[1m]{resourceId = "MODEL_DEPLOYMENT_OCID"}.grouping().mean() < 25 CPUUtilization[1m]{resourceId = "MODEL_DEPLOYMENT_OCID"}.grouping().mean() > 75

-----

Parameters:

query - the value to set

Returns:

this builder

build

public CustomExpressionQueryScalingConfiguration build()

copy

public CustomExpressionQueryScalingConfiguration.Builder copy(CustomExpressionQueryScalingConfiguration model)