Package com.oracle.bmc.datascience.model
Class ManagedComputeClusterCustomExpressionQueryScalingConfiguration.Builder
- java.lang.Object
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- com.oracle.bmc.datascience.model.ManagedComputeClusterCustomExpressionQueryScalingConfiguration.Builder
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- Enclosing class:
- ManagedComputeClusterCustomExpressionQueryScalingConfiguration
public static class ManagedComputeClusterCustomExpressionQueryScalingConfiguration.Builder extends Object
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Constructor Summary
Constructors Constructor Description Builder()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description ManagedComputeClusterCustomExpressionQueryScalingConfigurationbuild()ManagedComputeClusterCustomExpressionQueryScalingConfiguration.Buildercopy(ManagedComputeClusterCustomExpressionQueryScalingConfiguration model)ManagedComputeClusterCustomExpressionQueryScalingConfiguration.BuilderinstanceCountAdjustment(Integer instanceCountAdjustment)ManagedComputeClusterCustomExpressionQueryScalingConfiguration.BuilderpendingDuration(String pendingDuration)ManagedComputeClusterCustomExpressionQueryScalingConfiguration.Builderquery(String query)The Monitoring Query Language (MQL) expression to evaluate for the alarm.
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Method Detail
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pendingDuration
public ManagedComputeClusterCustomExpressionQueryScalingConfiguration.Builder pendingDuration(String pendingDuration)
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instanceCountAdjustment
public ManagedComputeClusterCustomExpressionQueryScalingConfiguration.Builder instanceCountAdjustment(Integer instanceCountAdjustment)
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query
public ManagedComputeClusterCustomExpressionQueryScalingConfiguration.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 = “Compute_Target_OCID”}.grouping().mean() < 25 CPUUtilization[1m]{resourceId = “Compute_Target_OCID”}.grouping().mean() > 75
- Parameters:
query- the value to set- Returns:
- this builder
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build
public ManagedComputeClusterCustomExpressionQueryScalingConfiguration build()
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