Package com.oracle.bmc.datascience.model

Class TargetCustomExpressionQueryScalingConfiguration

  • @Generated(value="OracleSDKGenerator",
           comments="API Version: 20190101")
public final class TargetCustomExpressionQueryScalingConfiguration
extends TargetScalingConfiguration
    The scaling configuration for the custom expression query for the workload.
    Note: Objects should always be created or deserialized using the TargetCustomExpressionQueryScalingConfiguration.Builder. This model distinguishes fields that are null because they are unset from fields that are explicitly set to null. This is done in the setter methods of the TargetCustomExpressionQueryScalingConfiguration.Builder, which maintain a set of all explicitly set fields called TargetCustomExpressionQueryScalingConfiguration.Builder.__explicitlySet__. The hashCode() and equals(Object) methods are implemented to take the explicitly set fields into account. The constructor, on the other hand, does not take the explicitly set fields into account (since the constructor cannot distinguish explicit null from unset null).

    • Constructor Detail

      • TargetCustomExpressionQueryScalingConfiguration

        @Deprecated
public TargetCustomExpressionQueryScalingConfiguration​(String query,
                                                       Float threshold,
                                                       String metricNamespace)
        Deprecated.

    • Method Detail

      • getQuery

        public String getQuery()
        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

        Returns:
        the value

      • getThreshold

        public Float getThreshold()
        A metric value at which the scaling operation will be triggered.
        Returns:
        the value

      • getMetricNamespace

        public String getMetricNamespace()
        Namespace to read the metrics from.

        Default value will be service metric namespace.

        Returns:
        the value

      • toString

        public String toString​(boolean includeByteArrayContents)
        Return a string representation of the object.
        Overrides:
        toString in class TargetScalingConfiguration
        Parameters:
        includeByteArrayContents - true to include the full contents of byte arrays
        Returns:
        string representation