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Oracle Cloud Infrastructure v1.41.0 published on Wednesday, Jun 19, 2024 by Pulumi
pulumi/pulumi-oci

oci.BigDataService.AutoScalingConfiguration

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Oracle Cloud Infrastructure v1.41.0 published on Wednesday, Jun 19, 2024 by Pulumi
pulumi/pulumi-oci

    This resource provides the Auto Scaling Configuration resource in Oracle Cloud Infrastructure Big Data Service service.

    Add an autoscale configuration to the cluster.

    Example Usage

    import * as pulumi from "@pulumi/pulumi";
import * as oci from "@pulumi/oci";

const testAutoScalingConfiguration = new oci.bigdataservice.AutoScalingConfiguration("test_auto_scaling_configuration", {
    bdsInstanceId: testBdsInstance.id,
    clusterAdminPassword: autoScalingConfigurationClusterAdminPassword,
    isEnabled: autoScalingConfigurationIsEnabled,
    nodeType: autoScalingConfigurationNodeType,
    displayName: autoScalingConfigurationDisplayName,
    policyDetails: {
        policyType: autoScalingConfigurationPolicyDetailsPolicyType,
        scaleDownConfig: {
            memoryStepSize: autoScalingConfigurationPolicyDetailsScaleDownConfigMemoryStepSize,
            metric: {
                metricType: autoScalingConfigurationPolicyDetailsScaleDownConfigMetricMetricType,
                threshold: {
                    durationInMinutes: autoScalingConfigurationPolicyDetailsScaleDownConfigMetricThresholdDurationInMinutes,
                    operator: autoScalingConfigurationPolicyDetailsScaleDownConfigMetricThresholdOperator,
                    value: autoScalingConfigurationPolicyDetailsScaleDownConfigMetricThresholdValue,
                },
            },
            minMemoryPerNode: autoScalingConfigurationPolicyDetailsScaleDownConfigMinMemoryPerNode,
            minOcpusPerNode: autoScalingConfigurationPolicyDetailsScaleDownConfigMinOcpusPerNode,
            ocpuStepSize: autoScalingConfigurationPolicyDetailsScaleDownConfigOcpuStepSize,
        },
        scaleUpConfig: {
            maxMemoryPerNode: autoScalingConfigurationPolicyDetailsScaleUpConfigMaxMemoryPerNode,
            maxOcpusPerNode: autoScalingConfigurationPolicyDetailsScaleUpConfigMaxOcpusPerNode,
            memoryStepSize: autoScalingConfigurationPolicyDetailsScaleUpConfigMemoryStepSize,
            metric: {
                metricType: autoScalingConfigurationPolicyDetailsScaleUpConfigMetricMetricType,
                threshold: {
                    durationInMinutes: autoScalingConfigurationPolicyDetailsScaleUpConfigMetricThresholdDurationInMinutes,
                    operator: autoScalingConfigurationPolicyDetailsScaleUpConfigMetricThresholdOperator,
                    value: autoScalingConfigurationPolicyDetailsScaleUpConfigMetricThresholdValue,
                },
            },
            ocpuStepSize: autoScalingConfigurationPolicyDetailsScaleUpConfigOcpuStepSize,
        },
    },
});

    import pulumi
import pulumi_oci as oci

test_auto_scaling_configuration = oci.big_data_service.AutoScalingConfiguration("test_auto_scaling_configuration",
    bds_instance_id=test_bds_instance["id"],
    cluster_admin_password=auto_scaling_configuration_cluster_admin_password,
    is_enabled=auto_scaling_configuration_is_enabled,
    node_type=auto_scaling_configuration_node_type,
    display_name=auto_scaling_configuration_display_name,
    policy_details=oci.big_data_service.AutoScalingConfigurationPolicyDetailsArgs(
        policy_type=auto_scaling_configuration_policy_details_policy_type,
        scale_down_config=oci.big_data_service.AutoScalingConfigurationPolicyDetailsScaleDownConfigArgs(
            memory_step_size=auto_scaling_configuration_policy_details_scale_down_config_memory_step_size,
            metric=oci.big_data_service.AutoScalingConfigurationPolicyDetailsScaleDownConfigMetricArgs(
                metric_type=auto_scaling_configuration_policy_details_scale_down_config_metric_metric_type,
                threshold=oci.big_data_service.AutoScalingConfigurationPolicyDetailsScaleDownConfigMetricThresholdArgs(
                    duration_in_minutes=auto_scaling_configuration_policy_details_scale_down_config_metric_threshold_duration_in_minutes,
                    operator=auto_scaling_configuration_policy_details_scale_down_config_metric_threshold_operator,
                    value=auto_scaling_configuration_policy_details_scale_down_config_metric_threshold_value,
                ),
            ),
            min_memory_per_node=auto_scaling_configuration_policy_details_scale_down_config_min_memory_per_node,
            min_ocpus_per_node=auto_scaling_configuration_policy_details_scale_down_config_min_ocpus_per_node,
            ocpu_step_size=auto_scaling_configuration_policy_details_scale_down_config_ocpu_step_size,
        ),
        scale_up_config=oci.big_data_service.AutoScalingConfigurationPolicyDetailsScaleUpConfigArgs(
            max_memory_per_node=auto_scaling_configuration_policy_details_scale_up_config_max_memory_per_node,
            max_ocpus_per_node=auto_scaling_configuration_policy_details_scale_up_config_max_ocpus_per_node,
            memory_step_size=auto_scaling_configuration_policy_details_scale_up_config_memory_step_size,
            metric=oci.big_data_service.AutoScalingConfigurationPolicyDetailsScaleUpConfigMetricArgs(
                metric_type=auto_scaling_configuration_policy_details_scale_up_config_metric_metric_type,
                threshold=oci.big_data_service.AutoScalingConfigurationPolicyDetailsScaleUpConfigMetricThresholdArgs(
                    duration_in_minutes=auto_scaling_configuration_policy_details_scale_up_config_metric_threshold_duration_in_minutes,
                    operator=auto_scaling_configuration_policy_details_scale_up_config_metric_threshold_operator,
                    value=auto_scaling_configuration_policy_details_scale_up_config_metric_threshold_value,
                ),
            ),
            ocpu_step_size=auto_scaling_configuration_policy_details_scale_up_config_ocpu_step_size,
        ),
    ))

    package main

import (
	"github.com/pulumi/pulumi-oci/sdk/go/oci/BigDataService"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := BigDataService.NewAutoScalingConfiguration(ctx, "test_auto_scaling_configuration", &BigDataService.AutoScalingConfigurationArgs{
			BdsInstanceId:        pulumi.Any(testBdsInstance.Id),
			ClusterAdminPassword: pulumi.Any(autoScalingConfigurationClusterAdminPassword),
			IsEnabled:            pulumi.Any(autoScalingConfigurationIsEnabled),
			NodeType:             pulumi.Any(autoScalingConfigurationNodeType),
			DisplayName:          pulumi.Any(autoScalingConfigurationDisplayName),
			PolicyDetails: &bigdataservice.AutoScalingConfigurationPolicyDetailsArgs{
				PolicyType: pulumi.Any(autoScalingConfigurationPolicyDetailsPolicyType),
				ScaleDownConfig: &bigdataservice.AutoScalingConfigurationPolicyDetailsScaleDownConfigArgs{
					MemoryStepSize: pulumi.Any(autoScalingConfigurationPolicyDetailsScaleDownConfigMemoryStepSize),
					Metric: &bigdataservice.AutoScalingConfigurationPolicyDetailsScaleDownConfigMetricArgs{
						MetricType: pulumi.Any(autoScalingConfigurationPolicyDetailsScaleDownConfigMetricMetricType),
						Threshold: &bigdataservice.AutoScalingConfigurationPolicyDetailsScaleDownConfigMetricThresholdArgs{
							DurationInMinutes: pulumi.Any(autoScalingConfigurationPolicyDetailsScaleDownConfigMetricThresholdDurationInMinutes),
							Operator:          pulumi.Any(autoScalingConfigurationPolicyDetailsScaleDownConfigMetricThresholdOperator),
							Value:             pulumi.Any(autoScalingConfigurationPolicyDetailsScaleDownConfigMetricThresholdValue),
						},
					},
					MinMemoryPerNode: pulumi.Any(autoScalingConfigurationPolicyDetailsScaleDownConfigMinMemoryPerNode),
					MinOcpusPerNode:  pulumi.Any(autoScalingConfigurationPolicyDetailsScaleDownConfigMinOcpusPerNode),
					OcpuStepSize:     pulumi.Any(autoScalingConfigurationPolicyDetailsScaleDownConfigOcpuStepSize),
				},
				ScaleUpConfig: &bigdataservice.AutoScalingConfigurationPolicyDetailsScaleUpConfigArgs{
					MaxMemoryPerNode: pulumi.Any(autoScalingConfigurationPolicyDetailsScaleUpConfigMaxMemoryPerNode),
					MaxOcpusPerNode:  pulumi.Any(autoScalingConfigurationPolicyDetailsScaleUpConfigMaxOcpusPerNode),
					MemoryStepSize:   pulumi.Any(autoScalingConfigurationPolicyDetailsScaleUpConfigMemoryStepSize),
					Metric: &bigdataservice.AutoScalingConfigurationPolicyDetailsScaleUpConfigMetricArgs{
						MetricType: pulumi.Any(autoScalingConfigurationPolicyDetailsScaleUpConfigMetricMetricType),
						Threshold: &bigdataservice.AutoScalingConfigurationPolicyDetailsScaleUpConfigMetricThresholdArgs{
							DurationInMinutes: pulumi.Any(autoScalingConfigurationPolicyDetailsScaleUpConfigMetricThresholdDurationInMinutes),
							Operator:          pulumi.Any(autoScalingConfigurationPolicyDetailsScaleUpConfigMetricThresholdOperator),
							Value:             pulumi.Any(autoScalingConfigurationPolicyDetailsScaleUpConfigMetricThresholdValue),
						},
					},
					OcpuStepSize: pulumi.Any(autoScalingConfigurationPolicyDetailsScaleUpConfigOcpuStepSize),
				},
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

    using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Oci = Pulumi.Oci;

return await Deployment.RunAsync(() => 
{
    var testAutoScalingConfiguration = new Oci.BigDataService.AutoScalingConfiguration("test_auto_scaling_configuration", new()
    {
        BdsInstanceId = testBdsInstance.Id,
        ClusterAdminPassword = autoScalingConfigurationClusterAdminPassword,
        IsEnabled = autoScalingConfigurationIsEnabled,
        NodeType = autoScalingConfigurationNodeType,
        DisplayName = autoScalingConfigurationDisplayName,
        PolicyDetails = new Oci.BigDataService.Inputs.AutoScalingConfigurationPolicyDetailsArgs
        {
            PolicyType = autoScalingConfigurationPolicyDetailsPolicyType,
            ScaleDownConfig = new Oci.BigDataService.Inputs.AutoScalingConfigurationPolicyDetailsScaleDownConfigArgs
            {
                MemoryStepSize = autoScalingConfigurationPolicyDetailsScaleDownConfigMemoryStepSize,
                Metric = new Oci.BigDataService.Inputs.AutoScalingConfigurationPolicyDetailsScaleDownConfigMetricArgs
                {
                    MetricType = autoScalingConfigurationPolicyDetailsScaleDownConfigMetricMetricType,
                    Threshold = new Oci.BigDataService.Inputs.AutoScalingConfigurationPolicyDetailsScaleDownConfigMetricThresholdArgs
                    {
                        DurationInMinutes = autoScalingConfigurationPolicyDetailsScaleDownConfigMetricThresholdDurationInMinutes,
                        Operator = autoScalingConfigurationPolicyDetailsScaleDownConfigMetricThresholdOperator,
                        Value = autoScalingConfigurationPolicyDetailsScaleDownConfigMetricThresholdValue,
                    },
                },
                MinMemoryPerNode = autoScalingConfigurationPolicyDetailsScaleDownConfigMinMemoryPerNode,
                MinOcpusPerNode = autoScalingConfigurationPolicyDetailsScaleDownConfigMinOcpusPerNode,
                OcpuStepSize = autoScalingConfigurationPolicyDetailsScaleDownConfigOcpuStepSize,
            },
            ScaleUpConfig = new Oci.BigDataService.Inputs.AutoScalingConfigurationPolicyDetailsScaleUpConfigArgs
            {
                MaxMemoryPerNode = autoScalingConfigurationPolicyDetailsScaleUpConfigMaxMemoryPerNode,
                MaxOcpusPerNode = autoScalingConfigurationPolicyDetailsScaleUpConfigMaxOcpusPerNode,
                MemoryStepSize = autoScalingConfigurationPolicyDetailsScaleUpConfigMemoryStepSize,
                Metric = new Oci.BigDataService.Inputs.AutoScalingConfigurationPolicyDetailsScaleUpConfigMetricArgs
                {
                    MetricType = autoScalingConfigurationPolicyDetailsScaleUpConfigMetricMetricType,
                    Threshold = new Oci.BigDataService.Inputs.AutoScalingConfigurationPolicyDetailsScaleUpConfigMetricThresholdArgs
                    {
                        DurationInMinutes = autoScalingConfigurationPolicyDetailsScaleUpConfigMetricThresholdDurationInMinutes,
                        Operator = autoScalingConfigurationPolicyDetailsScaleUpConfigMetricThresholdOperator,
                        Value = autoScalingConfigurationPolicyDetailsScaleUpConfigMetricThresholdValue,
                    },
                },
                OcpuStepSize = autoScalingConfigurationPolicyDetailsScaleUpConfigOcpuStepSize,
            },
        },
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.oci.BigDataService.AutoScalingConfiguration;
import com.pulumi.oci.BigDataService.AutoScalingConfigurationArgs;
import com.pulumi.oci.BigDataService.inputs.AutoScalingConfigurationPolicyDetailsArgs;
import com.pulumi.oci.BigDataService.inputs.AutoScalingConfigurationPolicyDetailsScaleDownConfigArgs;
import com.pulumi.oci.BigDataService.inputs.AutoScalingConfigurationPolicyDetailsScaleDownConfigMetricArgs;
import com.pulumi.oci.BigDataService.inputs.AutoScalingConfigurationPolicyDetailsScaleDownConfigMetricThresholdArgs;
import com.pulumi.oci.BigDataService.inputs.AutoScalingConfigurationPolicyDetailsScaleUpConfigArgs;
import com.pulumi.oci.BigDataService.inputs.AutoScalingConfigurationPolicyDetailsScaleUpConfigMetricArgs;
import com.pulumi.oci.BigDataService.inputs.AutoScalingConfigurationPolicyDetailsScaleUpConfigMetricThresholdArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var testAutoScalingConfiguration = new AutoScalingConfiguration("testAutoScalingConfiguration", AutoScalingConfigurationArgs.builder()
            .bdsInstanceId(testBdsInstance.id())
            .clusterAdminPassword(autoScalingConfigurationClusterAdminPassword)
            .isEnabled(autoScalingConfigurationIsEnabled)
            .nodeType(autoScalingConfigurationNodeType)
            .displayName(autoScalingConfigurationDisplayName)
            .policyDetails(AutoScalingConfigurationPolicyDetailsArgs.builder()
                .policyType(autoScalingConfigurationPolicyDetailsPolicyType)
                .scaleDownConfig(AutoScalingConfigurationPolicyDetailsScaleDownConfigArgs.builder()
                    .memoryStepSize(autoScalingConfigurationPolicyDetailsScaleDownConfigMemoryStepSize)
                    .metric(AutoScalingConfigurationPolicyDetailsScaleDownConfigMetricArgs.builder()
                        .metricType(autoScalingConfigurationPolicyDetailsScaleDownConfigMetricMetricType)
                        .threshold(AutoScalingConfigurationPolicyDetailsScaleDownConfigMetricThresholdArgs.builder()
                            .durationInMinutes(autoScalingConfigurationPolicyDetailsScaleDownConfigMetricThresholdDurationInMinutes)
                            .operator(autoScalingConfigurationPolicyDetailsScaleDownConfigMetricThresholdOperator)
                            .value(autoScalingConfigurationPolicyDetailsScaleDownConfigMetricThresholdValue)
                            .build())
                        .build())
                    .minMemoryPerNode(autoScalingConfigurationPolicyDetailsScaleDownConfigMinMemoryPerNode)
                    .minOcpusPerNode(autoScalingConfigurationPolicyDetailsScaleDownConfigMinOcpusPerNode)
                    .ocpuStepSize(autoScalingConfigurationPolicyDetailsScaleDownConfigOcpuStepSize)
                    .build())
                .scaleUpConfig(AutoScalingConfigurationPolicyDetailsScaleUpConfigArgs.builder()
                    .maxMemoryPerNode(autoScalingConfigurationPolicyDetailsScaleUpConfigMaxMemoryPerNode)
                    .maxOcpusPerNode(autoScalingConfigurationPolicyDetailsScaleUpConfigMaxOcpusPerNode)
                    .memoryStepSize(autoScalingConfigurationPolicyDetailsScaleUpConfigMemoryStepSize)
                    .metric(AutoScalingConfigurationPolicyDetailsScaleUpConfigMetricArgs.builder()
                        .metricType(autoScalingConfigurationPolicyDetailsScaleUpConfigMetricMetricType)
                        .threshold(AutoScalingConfigurationPolicyDetailsScaleUpConfigMetricThresholdArgs.builder()
                            .durationInMinutes(autoScalingConfigurationPolicyDetailsScaleUpConfigMetricThresholdDurationInMinutes)
                            .operator(autoScalingConfigurationPolicyDetailsScaleUpConfigMetricThresholdOperator)
                            .value(autoScalingConfigurationPolicyDetailsScaleUpConfigMetricThresholdValue)
                            .build())
                        .build())
                    .ocpuStepSize(autoScalingConfigurationPolicyDetailsScaleUpConfigOcpuStepSize)
                    .build())
                .build())
            .build());

    }
}

    resources:
  testAutoScalingConfiguration:
    type: oci:BigDataService:AutoScalingConfiguration
    name: test_auto_scaling_configuration
    properties:
      bdsInstanceId: ${testBdsInstance.id}
      clusterAdminPassword: ${autoScalingConfigurationClusterAdminPassword}
      isEnabled: ${autoScalingConfigurationIsEnabled}
      nodeType: ${autoScalingConfigurationNodeType}
      displayName: ${autoScalingConfigurationDisplayName}
      policyDetails:
        policyType: ${autoScalingConfigurationPolicyDetailsPolicyType}
        scaleDownConfig:
          memoryStepSize: ${autoScalingConfigurationPolicyDetailsScaleDownConfigMemoryStepSize}
          metric:
            metricType: ${autoScalingConfigurationPolicyDetailsScaleDownConfigMetricMetricType}
            threshold:
              durationInMinutes: ${autoScalingConfigurationPolicyDetailsScaleDownConfigMetricThresholdDurationInMinutes}
              operator: ${autoScalingConfigurationPolicyDetailsScaleDownConfigMetricThresholdOperator}
              value: ${autoScalingConfigurationPolicyDetailsScaleDownConfigMetricThresholdValue}
          minMemoryPerNode: ${autoScalingConfigurationPolicyDetailsScaleDownConfigMinMemoryPerNode}
          minOcpusPerNode: ${autoScalingConfigurationPolicyDetailsScaleDownConfigMinOcpusPerNode}
          ocpuStepSize: ${autoScalingConfigurationPolicyDetailsScaleDownConfigOcpuStepSize}
        scaleUpConfig:
          maxMemoryPerNode: ${autoScalingConfigurationPolicyDetailsScaleUpConfigMaxMemoryPerNode}
          maxOcpusPerNode: ${autoScalingConfigurationPolicyDetailsScaleUpConfigMaxOcpusPerNode}
          memoryStepSize: ${autoScalingConfigurationPolicyDetailsScaleUpConfigMemoryStepSize}
          metric:
            metricType: ${autoScalingConfigurationPolicyDetailsScaleUpConfigMetricMetricType}
            threshold:
              durationInMinutes: ${autoScalingConfigurationPolicyDetailsScaleUpConfigMetricThresholdDurationInMinutes}
              operator: ${autoScalingConfigurationPolicyDetailsScaleUpConfigMetricThresholdOperator}
              value: ${autoScalingConfigurationPolicyDetailsScaleUpConfigMetricThresholdValue}
          ocpuStepSize: ${autoScalingConfigurationPolicyDetailsScaleUpConfigOcpuStepSize}

    Create AutoScalingConfiguration Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new AutoScalingConfiguration(name: string, args: AutoScalingConfigurationArgs, opts?: CustomResourceOptions);
    @overload
def AutoScalingConfiguration(resource_name: str,
                             args: AutoScalingConfigurationArgs,
                             opts: Optional[ResourceOptions] = None)

@overload
def AutoScalingConfiguration(resource_name: str,
                             opts: Optional[ResourceOptions] = None,
                             bds_instance_id: Optional[str] = None,
                             cluster_admin_password: Optional[str] = None,
                             is_enabled: Optional[bool] = None,
                             node_type: Optional[str] = None,
                             display_name: Optional[str] = None,
                             policy: Optional[_bigdataservice.AutoScalingConfigurationPolicyArgs] = None,
                             policy_details: Optional[_bigdataservice.AutoScalingConfigurationPolicyDetailsArgs] = None)
    func NewAutoScalingConfiguration(ctx *Context, name string, args AutoScalingConfigurationArgs, opts ...ResourceOption) (*AutoScalingConfiguration, error)
    public AutoScalingConfiguration(string name, AutoScalingConfigurationArgs args, CustomResourceOptions? opts = null)
    public AutoScalingConfiguration(String name, AutoScalingConfigurationArgs args)
public AutoScalingConfiguration(String name, AutoScalingConfigurationArgs args, CustomResourceOptions options)

    type: oci:BigDataService:AutoScalingConfiguration
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

    Parameters

    name string
    The unique name of the resource.
    args AutoScalingConfigurationArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    resource_name str
    The unique name of the resource.
    args AutoScalingConfigurationArgs
    The arguments to resource properties.
    opts ResourceOptions
    Bag of options to control resource's behavior.
    ctx Context
    Context object for the current deployment.
    name string
    The unique name of the resource.
    args AutoScalingConfigurationArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args AutoScalingConfigurationArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args AutoScalingConfigurationArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    Constructor example

    The following reference example uses placeholder values for all input properties.

    var ociAutoScalingConfigurationResource = new Oci.BigDataService.AutoScalingConfiguration("ociAutoScalingConfigurationResource", new()
{
    BdsInstanceId = "string",
    ClusterAdminPassword = "string",
    IsEnabled = false,
    NodeType = "string",
    DisplayName = "string",
    Policy = new Oci.BigDataService.Inputs.AutoScalingConfigurationPolicyArgs
    {
        PolicyType = "string",
        Rules = new[]
        {
            new Oci.BigDataService.Inputs.AutoScalingConfigurationPolicyRuleArgs
            {
                Action = "string",
                Metric = new Oci.BigDataService.Inputs.AutoScalingConfigurationPolicyRuleMetricArgs
                {
                    MetricType = "string",
                    Threshold = new Oci.BigDataService.Inputs.AutoScalingConfigurationPolicyRuleMetricThresholdArgs
                    {
                        DurationInMinutes = 0,
                        Operator = "string",
                        Value = 0,
                    },
                },
            },
        },
    },
    PolicyDetails = new Oci.BigDataService.Inputs.AutoScalingConfigurationPolicyDetailsArgs
    {
        PolicyType = "string",
        ActionType = "string",
        ScaleDownConfig = new Oci.BigDataService.Inputs.AutoScalingConfigurationPolicyDetailsScaleDownConfigArgs
        {
            MemoryStepSize = 0,
            Metric = new Oci.BigDataService.Inputs.AutoScalingConfigurationPolicyDetailsScaleDownConfigMetricArgs
            {
                MetricType = "string",
                Threshold = new Oci.BigDataService.Inputs.AutoScalingConfigurationPolicyDetailsScaleDownConfigMetricThresholdArgs
                {
                    DurationInMinutes = 0,
                    Operator = "string",
                    Value = 0,
                },
            },
            MinMemoryPerNode = 0,
            MinOcpusPerNode = 0,
            OcpuStepSize = 0,
        },
        ScaleInConfig = new Oci.BigDataService.Inputs.AutoScalingConfigurationPolicyDetailsScaleInConfigArgs
        {
            Metric = new Oci.BigDataService.Inputs.AutoScalingConfigurationPolicyDetailsScaleInConfigMetricArgs
            {
                MetricType = "string",
                Threshold = new Oci.BigDataService.Inputs.AutoScalingConfigurationPolicyDetailsScaleInConfigMetricThresholdArgs
                {
                    DurationInMinutes = 0,
                    Operator = "string",
                    Value = 0,
                },
            },
            MinNodeCount = 0,
            StepSize = 0,
        },
        ScaleOutConfig = new Oci.BigDataService.Inputs.AutoScalingConfigurationPolicyDetailsScaleOutConfigArgs
        {
            MaxNodeCount = 0,
            Metric = new Oci.BigDataService.Inputs.AutoScalingConfigurationPolicyDetailsScaleOutConfigMetricArgs
            {
                MetricType = "string",
                Threshold = new Oci.BigDataService.Inputs.AutoScalingConfigurationPolicyDetailsScaleOutConfigMetricThresholdArgs
                {
                    DurationInMinutes = 0,
                    Operator = "string",
                    Value = 0,
                },
            },
            StepSize = 0,
        },
        ScaleUpConfig = new Oci.BigDataService.Inputs.AutoScalingConfigurationPolicyDetailsScaleUpConfigArgs
        {
            MaxMemoryPerNode = 0,
            MaxOcpusPerNode = 0,
            MemoryStepSize = 0,
            Metric = new Oci.BigDataService.Inputs.AutoScalingConfigurationPolicyDetailsScaleUpConfigMetricArgs
            {
                MetricType = "string",
                Threshold = new Oci.BigDataService.Inputs.AutoScalingConfigurationPolicyDetailsScaleUpConfigMetricThresholdArgs
                {
                    DurationInMinutes = 0,
                    Operator = "string",
                    Value = 0,
                },
            },
            OcpuStepSize = 0,
        },
        ScheduleDetails = new[]
        {
            new Oci.BigDataService.Inputs.AutoScalingConfigurationPolicyDetailsScheduleDetailArgs
            {
                ScheduleType = "string",
                TimeAndHorizontalScalingConfigs = new[]
                {
                    new Oci.BigDataService.Inputs.AutoScalingConfigurationPolicyDetailsScheduleDetailTimeAndHorizontalScalingConfigArgs
                    {
                        TargetNodeCount = 0,
                        TimeRecurrence = "string",
                    },
                },
                TimeAndVerticalScalingConfigs = new[]
                {
                    new Oci.BigDataService.Inputs.AutoScalingConfigurationPolicyDetailsScheduleDetailTimeAndVerticalScalingConfigArgs
                    {
                        TargetMemoryPerNode = 0,
                        TargetOcpusPerNode = 0,
                        TargetShape = "string",
                        TimeRecurrence = "string",
                    },
                },
            },
        },
        Timezone = "string",
        TriggerType = "string",
    },
});

    example, err := BigDataService.NewAutoScalingConfiguration(ctx, "ociAutoScalingConfigurationResource", &BigDataService.AutoScalingConfigurationArgs{
	BdsInstanceId:        pulumi.String("string"),
	ClusterAdminPassword: pulumi.String("string"),
	IsEnabled:            pulumi.Bool(false),
	NodeType:             pulumi.String("string"),
	DisplayName:          pulumi.String("string"),
	Policy: &bigdataservice.AutoScalingConfigurationPolicyArgs{
		PolicyType: pulumi.String("string"),
		Rules: bigdataservice.AutoScalingConfigurationPolicyRuleArray{
			&bigdataservice.AutoScalingConfigurationPolicyRuleArgs{
				Action: pulumi.String("string"),
				Metric: &bigdataservice.AutoScalingConfigurationPolicyRuleMetricArgs{
					MetricType: pulumi.String("string"),
					Threshold: &bigdataservice.AutoScalingConfigurationPolicyRuleMetricThresholdArgs{
						DurationInMinutes: pulumi.Int(0),
						Operator:          pulumi.String("string"),
						Value:             pulumi.Int(0),
					},
				},
			},
		},
	},
	PolicyDetails: &bigdataservice.AutoScalingConfigurationPolicyDetailsArgs{
		PolicyType: pulumi.String("string"),
		ActionType: pulumi.String("string"),
		ScaleDownConfig: &bigdataservice.AutoScalingConfigurationPolicyDetailsScaleDownConfigArgs{
			MemoryStepSize: pulumi.Int(0),
			Metric: &bigdataservice.AutoScalingConfigurationPolicyDetailsScaleDownConfigMetricArgs{
				MetricType: pulumi.String("string"),
				Threshold: &bigdataservice.AutoScalingConfigurationPolicyDetailsScaleDownConfigMetricThresholdArgs{
					DurationInMinutes: pulumi.Int(0),
					Operator:          pulumi.String("string"),
					Value:             pulumi.Int(0),
				},
			},
			MinMemoryPerNode: pulumi.Int(0),
			MinOcpusPerNode:  pulumi.Int(0),
			OcpuStepSize:     pulumi.Int(0),
		},
		ScaleInConfig: &bigdataservice.AutoScalingConfigurationPolicyDetailsScaleInConfigArgs{
			Metric: &bigdataservice.AutoScalingConfigurationPolicyDetailsScaleInConfigMetricArgs{
				MetricType: pulumi.String("string"),
				Threshold: &bigdataservice.AutoScalingConfigurationPolicyDetailsScaleInConfigMetricThresholdArgs{
					DurationInMinutes: pulumi.Int(0),
					Operator:          pulumi.String("string"),
					Value:             pulumi.Int(0),
				},
			},
			MinNodeCount: pulumi.Int(0),
			StepSize:     pulumi.Int(0),
		},
		ScaleOutConfig: &bigdataservice.AutoScalingConfigurationPolicyDetailsScaleOutConfigArgs{
			MaxNodeCount: pulumi.Int(0),
			Metric: &bigdataservice.AutoScalingConfigurationPolicyDetailsScaleOutConfigMetricArgs{
				MetricType: pulumi.String("string"),
				Threshold: &bigdataservice.AutoScalingConfigurationPolicyDetailsScaleOutConfigMetricThresholdArgs{
					DurationInMinutes: pulumi.Int(0),
					Operator:          pulumi.String("string"),
					Value:             pulumi.Int(0),
				},
			},
			StepSize: pulumi.Int(0),
		},
		ScaleUpConfig: &bigdataservice.AutoScalingConfigurationPolicyDetailsScaleUpConfigArgs{
			MaxMemoryPerNode: pulumi.Int(0),
			MaxOcpusPerNode:  pulumi.Int(0),
			MemoryStepSize:   pulumi.Int(0),
			Metric: &bigdataservice.AutoScalingConfigurationPolicyDetailsScaleUpConfigMetricArgs{
				MetricType: pulumi.String("string"),
				Threshold: &bigdataservice.AutoScalingConfigurationPolicyDetailsScaleUpConfigMetricThresholdArgs{
					DurationInMinutes: pulumi.Int(0),
					Operator:          pulumi.String("string"),
					Value:             pulumi.Int(0),
				},
			},
			OcpuStepSize: pulumi.Int(0),
		},
		ScheduleDetails: bigdataservice.AutoScalingConfigurationPolicyDetailsScheduleDetailArray{
			&bigdataservice.AutoScalingConfigurationPolicyDetailsScheduleDetailArgs{
				ScheduleType: pulumi.String("string"),
				TimeAndHorizontalScalingConfigs: bigdataservice.AutoScalingConfigurationPolicyDetailsScheduleDetailTimeAndHorizontalScalingConfigArray{
					&bigdataservice.AutoScalingConfigurationPolicyDetailsScheduleDetailTimeAndHorizontalScalingConfigArgs{
						TargetNodeCount: pulumi.Int(0),
						TimeRecurrence:  pulumi.String("string"),
					},
				},
				TimeAndVerticalScalingConfigs: bigdataservice.AutoScalingConfigurationPolicyDetailsScheduleDetailTimeAndVerticalScalingConfigArray{
					&bigdataservice.AutoScalingConfigurationPolicyDetailsScheduleDetailTimeAndVerticalScalingConfigArgs{
						TargetMemoryPerNode: pulumi.Int(0),
						TargetOcpusPerNode:  pulumi.Int(0),
						TargetShape:         pulumi.String("string"),
						TimeRecurrence:      pulumi.String("string"),
					},
				},
			},
		},
		Timezone:    pulumi.String("string"),
		TriggerType: pulumi.String("string"),
	},
})

    var ociAutoScalingConfigurationResource = new AutoScalingConfiguration("ociAutoScalingConfigurationResource", AutoScalingConfigurationArgs.builder()
    .bdsInstanceId("string")
    .clusterAdminPassword("string")
    .isEnabled(false)
    .nodeType("string")
    .displayName("string")
    .policy(AutoScalingConfigurationPolicyArgs.builder()
        .policyType("string")
        .rules(AutoScalingConfigurationPolicyRuleArgs.builder()
            .action("string")
            .metric(AutoScalingConfigurationPolicyRuleMetricArgs.builder()
                .metricType("string")
                .threshold(AutoScalingConfigurationPolicyRuleMetricThresholdArgs.builder()
                    .durationInMinutes(0)
                    .operator("string")
                    .value(0)
                    .build())
                .build())
            .build())
        .build())
    .policyDetails(AutoScalingConfigurationPolicyDetailsArgs.builder()
        .policyType("string")
        .actionType("string")
        .scaleDownConfig(AutoScalingConfigurationPolicyDetailsScaleDownConfigArgs.builder()
            .memoryStepSize(0)
            .metric(AutoScalingConfigurationPolicyDetailsScaleDownConfigMetricArgs.builder()
                .metricType("string")
                .threshold(AutoScalingConfigurationPolicyDetailsScaleDownConfigMetricThresholdArgs.builder()
                    .durationInMinutes(0)
                    .operator("string")
                    .value(0)
                    .build())
                .build())
            .minMemoryPerNode(0)
            .minOcpusPerNode(0)
            .ocpuStepSize(0)
            .build())
        .scaleInConfig(AutoScalingConfigurationPolicyDetailsScaleInConfigArgs.builder()
            .metric(AutoScalingConfigurationPolicyDetailsScaleInConfigMetricArgs.builder()
                .metricType("string")
                .threshold(AutoScalingConfigurationPolicyDetailsScaleInConfigMetricThresholdArgs.builder()
                    .durationInMinutes(0)
                    .operator("string")
                    .value(0)
                    .build())
                .build())
            .minNodeCount(0)
            .stepSize(0)
            .build())
        .scaleOutConfig(AutoScalingConfigurationPolicyDetailsScaleOutConfigArgs.builder()
            .maxNodeCount(0)
            .metric(AutoScalingConfigurationPolicyDetailsScaleOutConfigMetricArgs.builder()
                .metricType("string")
                .threshold(AutoScalingConfigurationPolicyDetailsScaleOutConfigMetricThresholdArgs.builder()
                    .durationInMinutes(0)
                    .operator("string")
                    .value(0)
                    .build())
                .build())
            .stepSize(0)
            .build())
        .scaleUpConfig(AutoScalingConfigurationPolicyDetailsScaleUpConfigArgs.builder()
            .maxMemoryPerNode(0)
            .maxOcpusPerNode(0)
            .memoryStepSize(0)
            .metric(AutoScalingConfigurationPolicyDetailsScaleUpConfigMetricArgs.builder()
                .metricType("string")
                .threshold(AutoScalingConfigurationPolicyDetailsScaleUpConfigMetricThresholdArgs.builder()
                    .durationInMinutes(0)
                    .operator("string")
                    .value(0)
                    .build())
                .build())
            .ocpuStepSize(0)
            .build())
        .scheduleDetails(AutoScalingConfigurationPolicyDetailsScheduleDetailArgs.builder()
            .scheduleType("string")
            .timeAndHorizontalScalingConfigs(AutoScalingConfigurationPolicyDetailsScheduleDetailTimeAndHorizontalScalingConfigArgs.builder()
                .targetNodeCount(0)
                .timeRecurrence("string")
                .build())
            .timeAndVerticalScalingConfigs(AutoScalingConfigurationPolicyDetailsScheduleDetailTimeAndVerticalScalingConfigArgs.builder()
                .targetMemoryPerNode(0)
                .targetOcpusPerNode(0)
                .targetShape("string")
                .timeRecurrence("string")
                .build())
            .build())
        .timezone("string")
        .triggerType("string")
        .build())
    .build());

    oci_auto_scaling_configuration_resource = oci.big_data_service.AutoScalingConfiguration("ociAutoScalingConfigurationResource",
    bds_instance_id="string",
    cluster_admin_password="string",
    is_enabled=False,
    node_type="string",
    display_name="string",
    policy=oci.big_data_service.AutoScalingConfigurationPolicyArgs(
        policy_type="string",
        rules=[oci.big_data_service.AutoScalingConfigurationPolicyRuleArgs(
            action="string",
            metric=oci.big_data_service.AutoScalingConfigurationPolicyRuleMetricArgs(
                metric_type="string",
                threshold=oci.big_data_service.AutoScalingConfigurationPolicyRuleMetricThresholdArgs(
                    duration_in_minutes=0,
                    operator="string",
                    value=0,
                ),
            ),
        )],
    ),
    policy_details=oci.big_data_service.AutoScalingConfigurationPolicyDetailsArgs(
        policy_type="string",
        action_type="string",
        scale_down_config=oci.big_data_service.AutoScalingConfigurationPolicyDetailsScaleDownConfigArgs(
            memory_step_size=0,
            metric=oci.big_data_service.AutoScalingConfigurationPolicyDetailsScaleDownConfigMetricArgs(
                metric_type="string",
                threshold=oci.big_data_service.AutoScalingConfigurationPolicyDetailsScaleDownConfigMetricThresholdArgs(
                    duration_in_minutes=0,
                    operator="string",
                    value=0,
                ),
            ),
            min_memory_per_node=0,
            min_ocpus_per_node=0,
            ocpu_step_size=0,
        ),
        scale_in_config=oci.big_data_service.AutoScalingConfigurationPolicyDetailsScaleInConfigArgs(
            metric=oci.big_data_service.AutoScalingConfigurationPolicyDetailsScaleInConfigMetricArgs(
                metric_type="string",
                threshold=oci.big_data_service.AutoScalingConfigurationPolicyDetailsScaleInConfigMetricThresholdArgs(
                    duration_in_minutes=0,
                    operator="string",
                    value=0,
                ),
            ),
            min_node_count=0,
            step_size=0,
        ),
        scale_out_config=oci.big_data_service.AutoScalingConfigurationPolicyDetailsScaleOutConfigArgs(
            max_node_count=0,
            metric=oci.big_data_service.AutoScalingConfigurationPolicyDetailsScaleOutConfigMetricArgs(
                metric_type="string",
                threshold=oci.big_data_service.AutoScalingConfigurationPolicyDetailsScaleOutConfigMetricThresholdArgs(
                    duration_in_minutes=0,
                    operator="string",
                    value=0,
                ),
            ),
            step_size=0,
        ),
        scale_up_config=oci.big_data_service.AutoScalingConfigurationPolicyDetailsScaleUpConfigArgs(
            max_memory_per_node=0,
            max_ocpus_per_node=0,
            memory_step_size=0,
            metric=oci.big_data_service.AutoScalingConfigurationPolicyDetailsScaleUpConfigMetricArgs(
                metric_type="string",
                threshold=oci.big_data_service.AutoScalingConfigurationPolicyDetailsScaleUpConfigMetricThresholdArgs(
                    duration_in_minutes=0,
                    operator="string",
                    value=0,
                ),
            ),
            ocpu_step_size=0,
        ),
        schedule_details=[oci.big_data_service.AutoScalingConfigurationPolicyDetailsScheduleDetailArgs(
            schedule_type="string",
            time_and_horizontal_scaling_configs=[oci.big_data_service.AutoScalingConfigurationPolicyDetailsScheduleDetailTimeAndHorizontalScalingConfigArgs(
                target_node_count=0,
                time_recurrence="string",
            )],
            time_and_vertical_scaling_configs=[oci.big_data_service.AutoScalingConfigurationPolicyDetailsScheduleDetailTimeAndVerticalScalingConfigArgs(
                target_memory_per_node=0,
                target_ocpus_per_node=0,
                target_shape="string",
                time_recurrence="string",
            )],
        )],
        timezone="string",
        trigger_type="string",
    ))

    const ociAutoScalingConfigurationResource = new oci.bigdataservice.AutoScalingConfiguration("ociAutoScalingConfigurationResource", {
    bdsInstanceId: "string",
    clusterAdminPassword: "string",
    isEnabled: false,
    nodeType: "string",
    displayName: "string",
    policy: {
        policyType: "string",
        rules: [{
            action: "string",
            metric: {
                metricType: "string",
                threshold: {
                    durationInMinutes: 0,
                    operator: "string",
                    value: 0,
                },
            },
        }],
    },
    policyDetails: {
        policyType: "string",
        actionType: "string",
        scaleDownConfig: {
            memoryStepSize: 0,
            metric: {
                metricType: "string",
                threshold: {
                    durationInMinutes: 0,
                    operator: "string",
                    value: 0,
                },
            },
            minMemoryPerNode: 0,
            minOcpusPerNode: 0,
            ocpuStepSize: 0,
        },
        scaleInConfig: {
            metric: {
                metricType: "string",
                threshold: {
                    durationInMinutes: 0,
                    operator: "string",
                    value: 0,
                },
            },
            minNodeCount: 0,
            stepSize: 0,
        },
        scaleOutConfig: {
            maxNodeCount: 0,
            metric: {
                metricType: "string",
                threshold: {
                    durationInMinutes: 0,
                    operator: "string",
                    value: 0,
                },
            },
            stepSize: 0,
        },
        scaleUpConfig: {
            maxMemoryPerNode: 0,
            maxOcpusPerNode: 0,
            memoryStepSize: 0,
            metric: {
                metricType: "string",
                threshold: {
                    durationInMinutes: 0,
                    operator: "string",
                    value: 0,
                },
            },
            ocpuStepSize: 0,
        },
        scheduleDetails: [{
            scheduleType: "string",
            timeAndHorizontalScalingConfigs: [{
                targetNodeCount: 0,
                timeRecurrence: "string",
            }],
            timeAndVerticalScalingConfigs: [{
                targetMemoryPerNode: 0,
                targetOcpusPerNode: 0,
                targetShape: "string",
                timeRecurrence: "string",
            }],
        }],
        timezone: "string",
        triggerType: "string",
    },
});

    type: oci:BigDataService:AutoScalingConfiguration
properties:
    bdsInstanceId: string
    clusterAdminPassword: string
    displayName: string
    isEnabled: false
    nodeType: string
    policy:
        policyType: string
        rules:
            - action: string
              metric:
                metricType: string
                threshold:
                    durationInMinutes: 0
                    operator: string
                    value: 0
    policyDetails:
        actionType: string
        policyType: string
        scaleDownConfig:
            memoryStepSize: 0
            metric:
                metricType: string
                threshold:
                    durationInMinutes: 0
                    operator: string
                    value: 0
            minMemoryPerNode: 0
            minOcpusPerNode: 0
            ocpuStepSize: 0
        scaleInConfig:
            metric:
                metricType: string
                threshold:
                    durationInMinutes: 0
                    operator: string
                    value: 0
            minNodeCount: 0
            stepSize: 0
        scaleOutConfig:
            maxNodeCount: 0
            metric:
                metricType: string
                threshold:
                    durationInMinutes: 0
                    operator: string
                    value: 0
            stepSize: 0
        scaleUpConfig:
            maxMemoryPerNode: 0
            maxOcpusPerNode: 0
            memoryStepSize: 0
            metric:
                metricType: string
                threshold:
                    durationInMinutes: 0
                    operator: string
                    value: 0
            ocpuStepSize: 0
        scheduleDetails:
            - scheduleType: string
              timeAndHorizontalScalingConfigs:
                - targetNodeCount: 0
                  timeRecurrence: string
              timeAndVerticalScalingConfigs:
                - targetMemoryPerNode: 0
                  targetOcpusPerNode: 0
                  targetShape: string
                  timeRecurrence: string
        timezone: string
        triggerType: string

    AutoScalingConfiguration Resource Properties

    To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

    Inputs

    The AutoScalingConfiguration resource accepts the following input properties:

    BdsInstanceId string
    The OCID of the cluster.
    ClusterAdminPassword string
    (Updatable) Base-64 encoded password for the cluster (and Cloudera Manager) admin user.
    IsEnabled bool
    (Updatable) Whether the autoscale configuration is enabled.
    NodeType string
    A node type that is managed by an autoscale configuration. The only supported types are WORKER, COMPUTE_ONLY_WORKER and KAFKA_BROKER.
    DisplayName string
    (Updatable) A user-friendly name. The name does not have to be unique, and it may be changed. Avoid entering confidential information.
    Policy AutoScalingConfigurationPolicy
    (Updatable) This model for autoscaling policy is deprecated and not supported for ODH clusters. Use the AutoScalePolicyDetails model to manage autoscale policy details for ODH clusters.
    PolicyDetails AutoScalingConfigurationPolicyDetails

    (Updatable) Policy definition for the autoscale configuration.

    An autoscaling policy is part of an autoscaling configuration. For more information, see Autoscaling

    You can create following type of autoscaling policies:

    • MetricBasedVerticalScalingPolicy: Vertical autoscaling action is triggered when a performance metric exceeds a threshold
    • MetricBasedHorizontalScalingPolicy: Horizontal autoscaling action is triggered when a performance metric exceeds a threshold
    • ScheduleBasedVerticalScalingPolicy: Vertical autoscaling action is triggered at the specific times that you schedule.
    • ScheduleBasedHorizontalScalingPolicy: Horizontal autoscaling action is triggered at the specific times that you schedule.

    An autoscaling configuration can have one of above supported policies.

    BdsInstanceId string
    The OCID of the cluster.
    ClusterAdminPassword string
    (Updatable) Base-64 encoded password for the cluster (and Cloudera Manager) admin user.
    IsEnabled bool
    (Updatable) Whether the autoscale configuration is enabled.
    NodeType string
    A node type that is managed by an autoscale configuration. The only supported types are WORKER, COMPUTE_ONLY_WORKER and KAFKA_BROKER.
    DisplayName string
    (Updatable) A user-friendly name. The name does not have to be unique, and it may be changed. Avoid entering confidential information.
    Policy AutoScalingConfigurationPolicyArgs
    (Updatable) This model for autoscaling policy is deprecated and not supported for ODH clusters. Use the AutoScalePolicyDetails model to manage autoscale policy details for ODH clusters.
    PolicyDetails AutoScalingConfigurationPolicyDetailsArgs

    (Updatable) Policy definition for the autoscale configuration.

    An autoscaling policy is part of an autoscaling configuration. For more information, see Autoscaling

    You can create following type of autoscaling policies:

    • MetricBasedVerticalScalingPolicy: Vertical autoscaling action is triggered when a performance metric exceeds a threshold
    • MetricBasedHorizontalScalingPolicy: Horizontal autoscaling action is triggered when a performance metric exceeds a threshold
    • ScheduleBasedVerticalScalingPolicy: Vertical autoscaling action is triggered at the specific times that you schedule.
    • ScheduleBasedHorizontalScalingPolicy: Horizontal autoscaling action is triggered at the specific times that you schedule.

    An autoscaling configuration can have one of above supported policies.

    bdsInstanceId String
    The OCID of the cluster.
    clusterAdminPassword String
    (Updatable) Base-64 encoded password for the cluster (and Cloudera Manager) admin user.
    isEnabled Boolean
    (Updatable) Whether the autoscale configuration is enabled.
    nodeType String
    A node type that is managed by an autoscale configuration. The only supported types are WORKER, COMPUTE_ONLY_WORKER and KAFKA_BROKER.
    displayName String
    (Updatable) A user-friendly name. The name does not have to be unique, and it may be changed. Avoid entering confidential information.
    policy AutoScalingConfigurationPolicy
    (Updatable) This model for autoscaling policy is deprecated and not supported for ODH clusters. Use the AutoScalePolicyDetails model to manage autoscale policy details for ODH clusters.
    policyDetails AutoScalingConfigurationPolicyDetails

    (Updatable) Policy definition for the autoscale configuration.

    An autoscaling policy is part of an autoscaling configuration. For more information, see Autoscaling

    You can create following type of autoscaling policies:

    • MetricBasedVerticalScalingPolicy: Vertical autoscaling action is triggered when a performance metric exceeds a threshold
    • MetricBasedHorizontalScalingPolicy: Horizontal autoscaling action is triggered when a performance metric exceeds a threshold
    • ScheduleBasedVerticalScalingPolicy: Vertical autoscaling action is triggered at the specific times that you schedule.
    • ScheduleBasedHorizontalScalingPolicy: Horizontal autoscaling action is triggered at the specific times that you schedule.

    An autoscaling configuration can have one of above supported policies.

    bdsInstanceId string
    The OCID of the cluster.
    clusterAdminPassword string
    (Updatable) Base-64 encoded password for the cluster (and Cloudera Manager) admin user.
    isEnabled boolean
    (Updatable) Whether the autoscale configuration is enabled.
    nodeType string
    A node type that is managed by an autoscale configuration. The only supported types are WORKER, COMPUTE_ONLY_WORKER and KAFKA_BROKER.
    displayName string
    (Updatable) A user-friendly name. The name does not have to be unique, and it may be changed. Avoid entering confidential information.
    policy AutoScalingConfigurationPolicy
    (Updatable) This model for autoscaling policy is deprecated and not supported for ODH clusters. Use the AutoScalePolicyDetails model to manage autoscale policy details for ODH clusters.
    policyDetails AutoScalingConfigurationPolicyDetails

    (Updatable) Policy definition for the autoscale configuration.

    An autoscaling policy is part of an autoscaling configuration. For more information, see Autoscaling

    You can create following type of autoscaling policies:

    • MetricBasedVerticalScalingPolicy: Vertical autoscaling action is triggered when a performance metric exceeds a threshold
    • MetricBasedHorizontalScalingPolicy: Horizontal autoscaling action is triggered when a performance metric exceeds a threshold
    • ScheduleBasedVerticalScalingPolicy: Vertical autoscaling action is triggered at the specific times that you schedule.
    • ScheduleBasedHorizontalScalingPolicy: Horizontal autoscaling action is triggered at the specific times that you schedule.

    An autoscaling configuration can have one of above supported policies.

    bds_instance_id str
    The OCID of the cluster.
    cluster_admin_password str
    (Updatable) Base-64 encoded password for the cluster (and Cloudera Manager) admin user.
    is_enabled bool
    (Updatable) Whether the autoscale configuration is enabled.
    node_type str
    A node type that is managed by an autoscale configuration. The only supported types are WORKER, COMPUTE_ONLY_WORKER and KAFKA_BROKER.
    display_name str
    (Updatable) A user-friendly name. The name does not have to be unique, and it may be changed. Avoid entering confidential information.
    policy bigdataservice.AutoScalingConfigurationPolicyArgs
    (Updatable) This model for autoscaling policy is deprecated and not supported for ODH clusters. Use the AutoScalePolicyDetails model to manage autoscale policy details for ODH clusters.
    policy_details bigdataservice.AutoScalingConfigurationPolicyDetailsArgs

    (Updatable) Policy definition for the autoscale configuration.

    An autoscaling policy is part of an autoscaling configuration. For more information, see Autoscaling

    You can create following type of autoscaling policies:

    • MetricBasedVerticalScalingPolicy: Vertical autoscaling action is triggered when a performance metric exceeds a threshold
    • MetricBasedHorizontalScalingPolicy: Horizontal autoscaling action is triggered when a performance metric exceeds a threshold
    • ScheduleBasedVerticalScalingPolicy: Vertical autoscaling action is triggered at the specific times that you schedule.
    • ScheduleBasedHorizontalScalingPolicy: Horizontal autoscaling action is triggered at the specific times that you schedule.

    An autoscaling configuration can have one of above supported policies.

    bdsInstanceId String
    The OCID of the cluster.
    clusterAdminPassword String
    (Updatable) Base-64 encoded password for the cluster (and Cloudera Manager) admin user.
    isEnabled Boolean
    (Updatable) Whether the autoscale configuration is enabled.
    nodeType String
    A node type that is managed by an autoscale configuration. The only supported types are WORKER, COMPUTE_ONLY_WORKER and KAFKA_BROKER.
    displayName String
    (Updatable) A user-friendly name. The name does not have to be unique, and it may be changed. Avoid entering confidential information.
    policy Property Map
    (Updatable) This model for autoscaling policy is deprecated and not supported for ODH clusters. Use the AutoScalePolicyDetails model to manage autoscale policy details for ODH clusters.
    policyDetails Property Map

    (Updatable) Policy definition for the autoscale configuration.

    An autoscaling policy is part of an autoscaling configuration. For more information, see Autoscaling

    You can create following type of autoscaling policies:

    • MetricBasedVerticalScalingPolicy: Vertical autoscaling action is triggered when a performance metric exceeds a threshold
    • MetricBasedHorizontalScalingPolicy: Horizontal autoscaling action is triggered when a performance metric exceeds a threshold
    • ScheduleBasedVerticalScalingPolicy: Vertical autoscaling action is triggered at the specific times that you schedule.
    • ScheduleBasedHorizontalScalingPolicy: Horizontal autoscaling action is triggered at the specific times that you schedule.

    An autoscaling configuration can have one of above supported policies.

    Outputs

    All input properties are implicitly available as output properties. Additionally, the AutoScalingConfiguration resource produces the following output properties:

    Id string
    The provider-assigned unique ID for this managed resource.
    State string
    The state of the autoscale configuration.
    TimeCreated string
    The time the cluster was created, shown as an RFC 3339 formatted datetime string.
    TimeUpdated string
    The time the autoscale configuration was updated, shown as an RFC 3339 formatted datetime string.
    Id string
    The provider-assigned unique ID for this managed resource.
    State string
    The state of the autoscale configuration.
    TimeCreated string
    The time the cluster was created, shown as an RFC 3339 formatted datetime string.
    TimeUpdated string
    The time the autoscale configuration was updated, shown as an RFC 3339 formatted datetime string.
    id String
    The provider-assigned unique ID for this managed resource.
    state String
    The state of the autoscale configuration.
    timeCreated String
    The time the cluster was created, shown as an RFC 3339 formatted datetime string.
    timeUpdated String
    The time the autoscale configuration was updated, shown as an RFC 3339 formatted datetime string.
    id string
    The provider-assigned unique ID for this managed resource.
    state string
    The state of the autoscale configuration.
    timeCreated string
    The time the cluster was created, shown as an RFC 3339 formatted datetime string.
    timeUpdated string
    The time the autoscale configuration was updated, shown as an RFC 3339 formatted datetime string.
    id str
    The provider-assigned unique ID for this managed resource.
    state str
    The state of the autoscale configuration.
    time_created str
    The time the cluster was created, shown as an RFC 3339 formatted datetime string.
    time_updated str
    The time the autoscale configuration was updated, shown as an RFC 3339 formatted datetime string.
    id String
    The provider-assigned unique ID for this managed resource.
    state String
    The state of the autoscale configuration.
    timeCreated String
    The time the cluster was created, shown as an RFC 3339 formatted datetime string.
    timeUpdated String
    The time the autoscale configuration was updated, shown as an RFC 3339 formatted datetime string.

    Look up Existing AutoScalingConfiguration Resource

    Get an existing AutoScalingConfiguration resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.

    public static get(name: string, id: Input<ID>, state?: AutoScalingConfigurationState, opts?: CustomResourceOptions): AutoScalingConfiguration
    @staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        bds_instance_id: Optional[str] = None,
        cluster_admin_password: Optional[str] = None,
        display_name: Optional[str] = None,
        is_enabled: Optional[bool] = None,
        node_type: Optional[str] = None,
        policy: Optional[_bigdataservice.AutoScalingConfigurationPolicyArgs] = None,
        policy_details: Optional[_bigdataservice.AutoScalingConfigurationPolicyDetailsArgs] = None,
        state: Optional[str] = None,
        time_created: Optional[str] = None,
        time_updated: Optional[str] = None) -> AutoScalingConfiguration
    func GetAutoScalingConfiguration(ctx *Context, name string, id IDInput, state *AutoScalingConfigurationState, opts ...ResourceOption) (*AutoScalingConfiguration, error)
    public static AutoScalingConfiguration Get(string name, Input<string> id, AutoScalingConfigurationState? state, CustomResourceOptions? opts = null)
    public static AutoScalingConfiguration get(String name, Output<String> id, AutoScalingConfigurationState state, CustomResourceOptions options)
    Resource lookup is not supported in YAML
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    resource_name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    The following state arguments are supported:
    BdsInstanceId string
    The OCID of the cluster.
    ClusterAdminPassword string
    (Updatable) Base-64 encoded password for the cluster (and Cloudera Manager) admin user.
    DisplayName string
    (Updatable) A user-friendly name. The name does not have to be unique, and it may be changed. Avoid entering confidential information.
    IsEnabled bool
    (Updatable) Whether the autoscale configuration is enabled.
    NodeType string
    A node type that is managed by an autoscale configuration. The only supported types are WORKER, COMPUTE_ONLY_WORKER and KAFKA_BROKER.
    Policy AutoScalingConfigurationPolicy
    (Updatable) This model for autoscaling policy is deprecated and not supported for ODH clusters. Use the AutoScalePolicyDetails model to manage autoscale policy details for ODH clusters.
    PolicyDetails AutoScalingConfigurationPolicyDetails

    (Updatable) Policy definition for the autoscale configuration.

    An autoscaling policy is part of an autoscaling configuration. For more information, see Autoscaling

    You can create following type of autoscaling policies:

    • MetricBasedVerticalScalingPolicy: Vertical autoscaling action is triggered when a performance metric exceeds a threshold
    • MetricBasedHorizontalScalingPolicy: Horizontal autoscaling action is triggered when a performance metric exceeds a threshold
    • ScheduleBasedVerticalScalingPolicy: Vertical autoscaling action is triggered at the specific times that you schedule.
    • ScheduleBasedHorizontalScalingPolicy: Horizontal autoscaling action is triggered at the specific times that you schedule.

    An autoscaling configuration can have one of above supported policies.

    State string
    The state of the autoscale configuration.
    TimeCreated string
    The time the cluster was created, shown as an RFC 3339 formatted datetime string.
    TimeUpdated string
    The time the autoscale configuration was updated, shown as an RFC 3339 formatted datetime string.
    BdsInstanceId string
    The OCID of the cluster.
    ClusterAdminPassword string
    (Updatable) Base-64 encoded password for the cluster (and Cloudera Manager) admin user.
    DisplayName string
    (Updatable) A user-friendly name. The name does not have to be unique, and it may be changed. Avoid entering confidential information.
    IsEnabled bool
    (Updatable) Whether the autoscale configuration is enabled.
    NodeType string
    A node type that is managed by an autoscale configuration. The only supported types are WORKER, COMPUTE_ONLY_WORKER and KAFKA_BROKER.
    Policy AutoScalingConfigurationPolicyArgs
    (Updatable) This model for autoscaling policy is deprecated and not supported for ODH clusters. Use the AutoScalePolicyDetails model to manage autoscale policy details for ODH clusters.
    PolicyDetails AutoScalingConfigurationPolicyDetailsArgs

    (Updatable) Policy definition for the autoscale configuration.

    An autoscaling policy is part of an autoscaling configuration. For more information, see Autoscaling

    You can create following type of autoscaling policies:

    • MetricBasedVerticalScalingPolicy: Vertical autoscaling action is triggered when a performance metric exceeds a threshold
    • MetricBasedHorizontalScalingPolicy: Horizontal autoscaling action is triggered when a performance metric exceeds a threshold
    • ScheduleBasedVerticalScalingPolicy: Vertical autoscaling action is triggered at the specific times that you schedule.
    • ScheduleBasedHorizontalScalingPolicy: Horizontal autoscaling action is triggered at the specific times that you schedule.

    An autoscaling configuration can have one of above supported policies.

    State string
    The state of the autoscale configuration.
    TimeCreated string
    The time the cluster was created, shown as an RFC 3339 formatted datetime string.
    TimeUpdated string
    The time the autoscale configuration was updated, shown as an RFC 3339 formatted datetime string.
    bdsInstanceId String
    The OCID of the cluster.
    clusterAdminPassword String
    (Updatable) Base-64 encoded password for the cluster (and Cloudera Manager) admin user.
    displayName String
    (Updatable) A user-friendly name. The name does not have to be unique, and it may be changed. Avoid entering confidential information.
    isEnabled Boolean
    (Updatable) Whether the autoscale configuration is enabled.
    nodeType String
    A node type that is managed by an autoscale configuration. The only supported types are WORKER, COMPUTE_ONLY_WORKER and KAFKA_BROKER.
    policy AutoScalingConfigurationPolicy
    (Updatable) This model for autoscaling policy is deprecated and not supported for ODH clusters. Use the AutoScalePolicyDetails model to manage autoscale policy details for ODH clusters.
    policyDetails AutoScalingConfigurationPolicyDetails

    (Updatable) Policy definition for the autoscale configuration.

    An autoscaling policy is part of an autoscaling configuration. For more information, see Autoscaling

    You can create following type of autoscaling policies:

    • MetricBasedVerticalScalingPolicy: Vertical autoscaling action is triggered when a performance metric exceeds a threshold
    • MetricBasedHorizontalScalingPolicy: Horizontal autoscaling action is triggered when a performance metric exceeds a threshold
    • ScheduleBasedVerticalScalingPolicy: Vertical autoscaling action is triggered at the specific times that you schedule.
    • ScheduleBasedHorizontalScalingPolicy: Horizontal autoscaling action is triggered at the specific times that you schedule.

    An autoscaling configuration can have one of above supported policies.

    state String
    The state of the autoscale configuration.
    timeCreated String
    The time the cluster was created, shown as an RFC 3339 formatted datetime string.
    timeUpdated String
    The time the autoscale configuration was updated, shown as an RFC 3339 formatted datetime string.
    bdsInstanceId string
    The OCID of the cluster.
    clusterAdminPassword string
    (Updatable) Base-64 encoded password for the cluster (and Cloudera Manager) admin user.
    displayName string
    (Updatable) A user-friendly name. The name does not have to be unique, and it may be changed. Avoid entering confidential information.
    isEnabled boolean
    (Updatable) Whether the autoscale configuration is enabled.
    nodeType string
    A node type that is managed by an autoscale configuration. The only supported types are WORKER, COMPUTE_ONLY_WORKER and KAFKA_BROKER.
    policy AutoScalingConfigurationPolicy
    (Updatable) This model for autoscaling policy is deprecated and not supported for ODH clusters. Use the AutoScalePolicyDetails model to manage autoscale policy details for ODH clusters.
    policyDetails AutoScalingConfigurationPolicyDetails

    (Updatable) Policy definition for the autoscale configuration.

    An autoscaling policy is part of an autoscaling configuration. For more information, see Autoscaling

    You can create following type of autoscaling policies:

    • MetricBasedVerticalScalingPolicy: Vertical autoscaling action is triggered when a performance metric exceeds a threshold
    • MetricBasedHorizontalScalingPolicy: Horizontal autoscaling action is triggered when a performance metric exceeds a threshold
    • ScheduleBasedVerticalScalingPolicy: Vertical autoscaling action is triggered at the specific times that you schedule.
    • ScheduleBasedHorizontalScalingPolicy: Horizontal autoscaling action is triggered at the specific times that you schedule.

    An autoscaling configuration can have one of above supported policies.

    state string
    The state of the autoscale configuration.
    timeCreated string
    The time the cluster was created, shown as an RFC 3339 formatted datetime string.
    timeUpdated string
    The time the autoscale configuration was updated, shown as an RFC 3339 formatted datetime string.
    bds_instance_id str
    The OCID of the cluster.
    cluster_admin_password str
    (Updatable) Base-64 encoded password for the cluster (and Cloudera Manager) admin user.
    display_name str
    (Updatable) A user-friendly name. The name does not have to be unique, and it may be changed. Avoid entering confidential information.
    is_enabled bool
    (Updatable) Whether the autoscale configuration is enabled.
    node_type str
    A node type that is managed by an autoscale configuration. The only supported types are WORKER, COMPUTE_ONLY_WORKER and KAFKA_BROKER.
    policy bigdataservice.AutoScalingConfigurationPolicyArgs
    (Updatable) This model for autoscaling policy is deprecated and not supported for ODH clusters. Use the AutoScalePolicyDetails model to manage autoscale policy details for ODH clusters.
    policy_details bigdataservice.AutoScalingConfigurationPolicyDetailsArgs

    (Updatable) Policy definition for the autoscale configuration.

    An autoscaling policy is part of an autoscaling configuration. For more information, see Autoscaling

    You can create following type of autoscaling policies:

    • MetricBasedVerticalScalingPolicy: Vertical autoscaling action is triggered when a performance metric exceeds a threshold
    • MetricBasedHorizontalScalingPolicy: Horizontal autoscaling action is triggered when a performance metric exceeds a threshold
    • ScheduleBasedVerticalScalingPolicy: Vertical autoscaling action is triggered at the specific times that you schedule.
    • ScheduleBasedHorizontalScalingPolicy: Horizontal autoscaling action is triggered at the specific times that you schedule.

    An autoscaling configuration can have one of above supported policies.

    state str
    The state of the autoscale configuration.
    time_created str
    The time the cluster was created, shown as an RFC 3339 formatted datetime string.
    time_updated str
    The time the autoscale configuration was updated, shown as an RFC 3339 formatted datetime string.
    bdsInstanceId String
    The OCID of the cluster.
    clusterAdminPassword String
    (Updatable) Base-64 encoded password for the cluster (and Cloudera Manager) admin user.
    displayName String
    (Updatable) A user-friendly name. The name does not have to be unique, and it may be changed. Avoid entering confidential information.
    isEnabled Boolean
    (Updatable) Whether the autoscale configuration is enabled.
    nodeType String
    A node type that is managed by an autoscale configuration. The only supported types are WORKER, COMPUTE_ONLY_WORKER and KAFKA_BROKER.
    policy Property Map
    (Updatable) This model for autoscaling policy is deprecated and not supported for ODH clusters. Use the AutoScalePolicyDetails model to manage autoscale policy details for ODH clusters.
    policyDetails Property Map

    (Updatable) Policy definition for the autoscale configuration.

    An autoscaling policy is part of an autoscaling configuration. For more information, see Autoscaling

    You can create following type of autoscaling policies:

    • MetricBasedVerticalScalingPolicy: Vertical autoscaling action is triggered when a performance metric exceeds a threshold
    • MetricBasedHorizontalScalingPolicy: Horizontal autoscaling action is triggered when a performance metric exceeds a threshold
    • ScheduleBasedVerticalScalingPolicy: Vertical autoscaling action is triggered at the specific times that you schedule.
    • ScheduleBasedHorizontalScalingPolicy: Horizontal autoscaling action is triggered at the specific times that you schedule.

    An autoscaling configuration can have one of above supported policies.

    state String
    The state of the autoscale configuration.
    timeCreated String
    The time the cluster was created, shown as an RFC 3339 formatted datetime string.
    timeUpdated String
    The time the autoscale configuration was updated, shown as an RFC 3339 formatted datetime string.

    Supporting Types

    AutoScalingConfigurationPolicy, AutoScalingConfigurationPolicyArgs

    PolicyType string
    (Updatable) Types of autoscale policies. Options are SCHEDULE-BASED or THRESHOLD-BASED. (Only THRESHOLD-BASED is supported in this release.)
    Rules List<AutoScalingConfigurationPolicyRule>
    (Updatable) The list of rules for autoscaling. If an action has multiple rules, the last rule in the array will be applied.
    PolicyType string
    (Updatable) Types of autoscale policies. Options are SCHEDULE-BASED or THRESHOLD-BASED. (Only THRESHOLD-BASED is supported in this release.)
    Rules []AutoScalingConfigurationPolicyRule
    (Updatable) The list of rules for autoscaling. If an action has multiple rules, the last rule in the array will be applied.
    policyType String
    (Updatable) Types of autoscale policies. Options are SCHEDULE-BASED or THRESHOLD-BASED. (Only THRESHOLD-BASED is supported in this release.)
    rules List<AutoScalingConfigurationPolicyRule>
    (Updatable) The list of rules for autoscaling. If an action has multiple rules, the last rule in the array will be applied.
    policyType string
    (Updatable) Types of autoscale policies. Options are SCHEDULE-BASED or THRESHOLD-BASED. (Only THRESHOLD-BASED is supported in this release.)
    rules AutoScalingConfigurationPolicyRule[]
    (Updatable) The list of rules for autoscaling. If an action has multiple rules, the last rule in the array will be applied.
    policy_type str
    (Updatable) Types of autoscale policies. Options are SCHEDULE-BASED or THRESHOLD-BASED. (Only THRESHOLD-BASED is supported in this release.)
    rules Sequence[bigdataservice.AutoScalingConfigurationPolicyRule]
    (Updatable) The list of rules for autoscaling. If an action has multiple rules, the last rule in the array will be applied.
    policyType String
    (Updatable) Types of autoscale policies. Options are SCHEDULE-BASED or THRESHOLD-BASED. (Only THRESHOLD-BASED is supported in this release.)
    rules List<Property Map>
    (Updatable) The list of rules for autoscaling. If an action has multiple rules, the last rule in the array will be applied.

    AutoScalingConfigurationPolicyDetails, AutoScalingConfigurationPolicyDetailsArgs

    PolicyType string
    Type of autoscaling policy.
    ActionType string
    The type of autoscaling action to take.
    ScaleDownConfig AutoScalingConfigurationPolicyDetailsScaleDownConfig
    (Updatable) Configration for a metric based vertical scale-down policy.
    ScaleInConfig AutoScalingConfigurationPolicyDetailsScaleInConfig
    (Updatable) Configration for a metric based horizontal scale-in policy.
    ScaleOutConfig AutoScalingConfigurationPolicyDetailsScaleOutConfig
    (Updatable) Configration for a metric based horizontal scale-out policy.
    ScaleUpConfig AutoScalingConfigurationPolicyDetailsScaleUpConfig
    (Updatable) Configration for a metric based vertical scale-up policy.
    ScheduleDetails List<AutoScalingConfigurationPolicyDetailsScheduleDetail>
    (Updatable) Details of a horizontal scaling schedule.
    Timezone string

    (Updatable) The time zone of the execution schedule, in IANA time zone database name format

    ** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

    TriggerType string
    The type of autoscaling trigger.
    PolicyType string
    Type of autoscaling policy.
    ActionType string
    The type of autoscaling action to take.
    ScaleDownConfig AutoScalingConfigurationPolicyDetailsScaleDownConfig
    (Updatable) Configration for a metric based vertical scale-down policy.
    ScaleInConfig AutoScalingConfigurationPolicyDetailsScaleInConfig
    (Updatable) Configration for a metric based horizontal scale-in policy.
    ScaleOutConfig AutoScalingConfigurationPolicyDetailsScaleOutConfig
    (Updatable) Configration for a metric based horizontal scale-out policy.
    ScaleUpConfig AutoScalingConfigurationPolicyDetailsScaleUpConfig
    (Updatable) Configration for a metric based vertical scale-up policy.
    ScheduleDetails []AutoScalingConfigurationPolicyDetailsScheduleDetail
    (Updatable) Details of a horizontal scaling schedule.
    Timezone string

    (Updatable) The time zone of the execution schedule, in IANA time zone database name format

    ** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

    TriggerType string
    The type of autoscaling trigger.
    policyType String
    Type of autoscaling policy.
    actionType String
    The type of autoscaling action to take.
    scaleDownConfig AutoScalingConfigurationPolicyDetailsScaleDownConfig
    (Updatable) Configration for a metric based vertical scale-down policy.
    scaleInConfig AutoScalingConfigurationPolicyDetailsScaleInConfig
    (Updatable) Configration for a metric based horizontal scale-in policy.
    scaleOutConfig AutoScalingConfigurationPolicyDetailsScaleOutConfig
    (Updatable) Configration for a metric based horizontal scale-out policy.
    scaleUpConfig AutoScalingConfigurationPolicyDetailsScaleUpConfig
    (Updatable) Configration for a metric based vertical scale-up policy.
    scheduleDetails List<AutoScalingConfigurationPolicyDetailsScheduleDetail>
    (Updatable) Details of a horizontal scaling schedule.
    timezone String

    (Updatable) The time zone of the execution schedule, in IANA time zone database name format

    ** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

    triggerType String
    The type of autoscaling trigger.
    policyType string
    Type of autoscaling policy.
    actionType string
    The type of autoscaling action to take.
    scaleDownConfig AutoScalingConfigurationPolicyDetailsScaleDownConfig
    (Updatable) Configration for a metric based vertical scale-down policy.
    scaleInConfig AutoScalingConfigurationPolicyDetailsScaleInConfig
    (Updatable) Configration for a metric based horizontal scale-in policy.
    scaleOutConfig AutoScalingConfigurationPolicyDetailsScaleOutConfig
    (Updatable) Configration for a metric based horizontal scale-out policy.
    scaleUpConfig AutoScalingConfigurationPolicyDetailsScaleUpConfig
    (Updatable) Configration for a metric based vertical scale-up policy.
    scheduleDetails AutoScalingConfigurationPolicyDetailsScheduleDetail[]
    (Updatable) Details of a horizontal scaling schedule.
    timezone string

    (Updatable) The time zone of the execution schedule, in IANA time zone database name format

    ** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

    triggerType string
    The type of autoscaling trigger.
    policy_type str
    Type of autoscaling policy.
    action_type str
    The type of autoscaling action to take.
    scale_down_config bigdataservice.AutoScalingConfigurationPolicyDetailsScaleDownConfig
    (Updatable) Configration for a metric based vertical scale-down policy.
    scale_in_config bigdataservice.AutoScalingConfigurationPolicyDetailsScaleInConfig
    (Updatable) Configration for a metric based horizontal scale-in policy.
    scale_out_config bigdataservice.AutoScalingConfigurationPolicyDetailsScaleOutConfig
    (Updatable) Configration for a metric based horizontal scale-out policy.
    scale_up_config bigdataservice.AutoScalingConfigurationPolicyDetailsScaleUpConfig
    (Updatable) Configration for a metric based vertical scale-up policy.
    schedule_details Sequence[bigdataservice.AutoScalingConfigurationPolicyDetailsScheduleDetail]
    (Updatable) Details of a horizontal scaling schedule.
    timezone str

    (Updatable) The time zone of the execution schedule, in IANA time zone database name format

    ** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

    trigger_type str
    The type of autoscaling trigger.
    policyType String
    Type of autoscaling policy.
    actionType String
    The type of autoscaling action to take.
    scaleDownConfig Property Map
    (Updatable) Configration for a metric based vertical scale-down policy.
    scaleInConfig Property Map
    (Updatable) Configration for a metric based horizontal scale-in policy.
    scaleOutConfig Property Map
    (Updatable) Configration for a metric based horizontal scale-out policy.
    scaleUpConfig Property Map
    (Updatable) Configration for a metric based vertical scale-up policy.
    scheduleDetails List<Property Map>
    (Updatable) Details of a horizontal scaling schedule.
    timezone String

    (Updatable) The time zone of the execution schedule, in IANA time zone database name format

    ** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

    triggerType String
    The type of autoscaling trigger.

    AutoScalingConfigurationPolicyDetailsScaleDownConfig, AutoScalingConfigurationPolicyDetailsScaleDownConfigArgs

    MemoryStepSize int
    (Updatable) For nodes with flexible compute shapes, this value is the size of memory in GBs to remove from each node during a scale-down event. This value is not used for nodes with fixed compute shapes.
    Metric AutoScalingConfigurationPolicyDetailsScaleDownConfigMetric
    (Updatable) Metric and threshold details for triggering an autoscale action.
    MinMemoryPerNode int
    (Updatable) For nodes with flexible compute shapes, this value is the minimum memory in GBs each node can be scaled-down to. This value is not used for nodes with fixed compute shapes.
    MinOcpusPerNode int
    (Updatable) For nodes with flexible compute shapes, this value is the minimum number of OCPUs each node can be scaled-down to. This value is not used for nodes with fixed compute shapes.
    OcpuStepSize int
    (Updatable) For nodes with flexible compute shapes, this value is the number of OCPUs to remove from each node during a scale-down event. This value is not used for nodes with fixed compute shapes.
    MemoryStepSize int
    (Updatable) For nodes with flexible compute shapes, this value is the size of memory in GBs to remove from each node during a scale-down event. This value is not used for nodes with fixed compute shapes.
    Metric AutoScalingConfigurationPolicyDetailsScaleDownConfigMetric
    (Updatable) Metric and threshold details for triggering an autoscale action.
    MinMemoryPerNode int
    (Updatable) For nodes with flexible compute shapes, this value is the minimum memory in GBs each node can be scaled-down to. This value is not used for nodes with fixed compute shapes.
    MinOcpusPerNode int
    (Updatable) For nodes with flexible compute shapes, this value is the minimum number of OCPUs each node can be scaled-down to. This value is not used for nodes with fixed compute shapes.
    OcpuStepSize int
    (Updatable) For nodes with flexible compute shapes, this value is the number of OCPUs to remove from each node during a scale-down event. This value is not used for nodes with fixed compute shapes.
    memoryStepSize Integer
    (Updatable) For nodes with flexible compute shapes, this value is the size of memory in GBs to remove from each node during a scale-down event. This value is not used for nodes with fixed compute shapes.
    metric AutoScalingConfigurationPolicyDetailsScaleDownConfigMetric
    (Updatable) Metric and threshold details for triggering an autoscale action.
    minMemoryPerNode Integer
    (Updatable) For nodes with flexible compute shapes, this value is the minimum memory in GBs each node can be scaled-down to. This value is not used for nodes with fixed compute shapes.
    minOcpusPerNode Integer
    (Updatable) For nodes with flexible compute shapes, this value is the minimum number of OCPUs each node can be scaled-down to. This value is not used for nodes with fixed compute shapes.
    ocpuStepSize Integer
    (Updatable) For nodes with flexible compute shapes, this value is the number of OCPUs to remove from each node during a scale-down event. This value is not used for nodes with fixed compute shapes.
    memoryStepSize number
    (Updatable) For nodes with flexible compute shapes, this value is the size of memory in GBs to remove from each node during a scale-down event. This value is not used for nodes with fixed compute shapes.
    metric AutoScalingConfigurationPolicyDetailsScaleDownConfigMetric
    (Updatable) Metric and threshold details for triggering an autoscale action.
    minMemoryPerNode number
    (Updatable) For nodes with flexible compute shapes, this value is the minimum memory in GBs each node can be scaled-down to. This value is not used for nodes with fixed compute shapes.
    minOcpusPerNode number
    (Updatable) For nodes with flexible compute shapes, this value is the minimum number of OCPUs each node can be scaled-down to. This value is not used for nodes with fixed compute shapes.
    ocpuStepSize number
    (Updatable) For nodes with flexible compute shapes, this value is the number of OCPUs to remove from each node during a scale-down event. This value is not used for nodes with fixed compute shapes.
    memory_step_size int
    (Updatable) For nodes with flexible compute shapes, this value is the size of memory in GBs to remove from each node during a scale-down event. This value is not used for nodes with fixed compute shapes.
    metric bigdataservice.AutoScalingConfigurationPolicyDetailsScaleDownConfigMetric
    (Updatable) Metric and threshold details for triggering an autoscale action.
    min_memory_per_node int
    (Updatable) For nodes with flexible compute shapes, this value is the minimum memory in GBs each node can be scaled-down to. This value is not used for nodes with fixed compute shapes.
    min_ocpus_per_node int
    (Updatable) For nodes with flexible compute shapes, this value is the minimum number of OCPUs each node can be scaled-down to. This value is not used for nodes with fixed compute shapes.
    ocpu_step_size int
    (Updatable) For nodes with flexible compute shapes, this value is the number of OCPUs to remove from each node during a scale-down event. This value is not used for nodes with fixed compute shapes.
    memoryStepSize Number
    (Updatable) For nodes with flexible compute shapes, this value is the size of memory in GBs to remove from each node during a scale-down event. This value is not used for nodes with fixed compute shapes.
    metric Property Map
    (Updatable) Metric and threshold details for triggering an autoscale action.
    minMemoryPerNode Number
    (Updatable) For nodes with flexible compute shapes, this value is the minimum memory in GBs each node can be scaled-down to. This value is not used for nodes with fixed compute shapes.
    minOcpusPerNode Number
    (Updatable) For nodes with flexible compute shapes, this value is the minimum number of OCPUs each node can be scaled-down to. This value is not used for nodes with fixed compute shapes.
    ocpuStepSize Number
    (Updatable) For nodes with flexible compute shapes, this value is the number of OCPUs to remove from each node during a scale-down event. This value is not used for nodes with fixed compute shapes.

    AutoScalingConfigurationPolicyDetailsScaleDownConfigMetric, AutoScalingConfigurationPolicyDetailsScaleDownConfigMetricArgs

    MetricType string
    (Updatable) Allowed value is CPU_UTILIZATION.
    Threshold AutoScalingConfigurationPolicyDetailsScaleDownConfigMetricThreshold
    (Updatable) An autoscale action is triggered when a performance metric exceeds a threshold.
    MetricType string
    (Updatable) Allowed value is CPU_UTILIZATION.
    Threshold AutoScalingConfigurationPolicyDetailsScaleDownConfigMetricThreshold
    (Updatable) An autoscale action is triggered when a performance metric exceeds a threshold.
    metricType String
    (Updatable) Allowed value is CPU_UTILIZATION.
    threshold AutoScalingConfigurationPolicyDetailsScaleDownConfigMetricThreshold
    (Updatable) An autoscale action is triggered when a performance metric exceeds a threshold.
    metricType string
    (Updatable) Allowed value is CPU_UTILIZATION.
    threshold AutoScalingConfigurationPolicyDetailsScaleDownConfigMetricThreshold
    (Updatable) An autoscale action is triggered when a performance metric exceeds a threshold.
    metric_type str
    (Updatable) Allowed value is CPU_UTILIZATION.
    threshold bigdataservice.AutoScalingConfigurationPolicyDetailsScaleDownConfigMetricThreshold
    (Updatable) An autoscale action is triggered when a performance metric exceeds a threshold.
    metricType String
    (Updatable) Allowed value is CPU_UTILIZATION.
    threshold Property Map
    (Updatable) An autoscale action is triggered when a performance metric exceeds a threshold.

    AutoScalingConfigurationPolicyDetailsScaleDownConfigMetricThreshold, AutoScalingConfigurationPolicyDetailsScaleDownConfigMetricThresholdArgs

    DurationInMinutes int
    (Updatable) This value is the minimum period of time the metric value exceeds the threshold value before the action is triggered. The value is in minutes.
    Operator string
    (Updatable) The comparison operator to use. Options are greater than (GT) or less than (LT).
    Value int
    (Updatable) Integer non-negative value. 0 < value < 100
    DurationInMinutes int
    (Updatable) This value is the minimum period of time the metric value exceeds the threshold value before the action is triggered. The value is in minutes.
    Operator string
    (Updatable) The comparison operator to use. Options are greater than (GT) or less than (LT).
    Value int
    (Updatable) Integer non-negative value. 0 < value < 100
    durationInMinutes Integer
    (Updatable) This value is the minimum period of time the metric value exceeds the threshold value before the action is triggered. The value is in minutes.
    operator String
    (Updatable) The comparison operator to use. Options are greater than (GT) or less than (LT).
    value Integer
    (Updatable) Integer non-negative value. 0 < value < 100
    durationInMinutes number
    (Updatable) This value is the minimum period of time the metric value exceeds the threshold value before the action is triggered. The value is in minutes.
    operator string
    (Updatable) The comparison operator to use. Options are greater than (GT) or less than (LT).
    value number
    (Updatable) Integer non-negative value. 0 < value < 100
    duration_in_minutes int
    (Updatable) This value is the minimum period of time the metric value exceeds the threshold value before the action is triggered. The value is in minutes.
    operator str
    (Updatable) The comparison operator to use. Options are greater than (GT) or less than (LT).
    value int
    (Updatable) Integer non-negative value. 0 < value < 100
    durationInMinutes Number
    (Updatable) This value is the minimum period of time the metric value exceeds the threshold value before the action is triggered. The value is in minutes.
    operator String
    (Updatable) The comparison operator to use. Options are greater than (GT) or less than (LT).
    value Number
    (Updatable) Integer non-negative value. 0 < value < 100

    AutoScalingConfigurationPolicyDetailsScaleInConfig, AutoScalingConfigurationPolicyDetailsScaleInConfigArgs

    Metric AutoScalingConfigurationPolicyDetailsScaleInConfigMetric
    (Updatable) Metric and threshold details for triggering an autoscale action.
    MinNodeCount int
    (Updatable) This value is the minimum number of nodes the cluster can be scaled-in to.
    StepSize int
    (Updatable) This value is the number of nodes to remove during a scale-in event.
    Metric AutoScalingConfigurationPolicyDetailsScaleInConfigMetric
    (Updatable) Metric and threshold details for triggering an autoscale action.
    MinNodeCount int
    (Updatable) This value is the minimum number of nodes the cluster can be scaled-in to.
    StepSize int
    (Updatable) This value is the number of nodes to remove during a scale-in event.
    metric AutoScalingConfigurationPolicyDetailsScaleInConfigMetric
    (Updatable) Metric and threshold details for triggering an autoscale action.
    minNodeCount Integer
    (Updatable) This value is the minimum number of nodes the cluster can be scaled-in to.
    stepSize Integer
    (Updatable) This value is the number of nodes to remove during a scale-in event.
    metric AutoScalingConfigurationPolicyDetailsScaleInConfigMetric
    (Updatable) Metric and threshold details for triggering an autoscale action.
    minNodeCount number
    (Updatable) This value is the minimum number of nodes the cluster can be scaled-in to.
    stepSize number
    (Updatable) This value is the number of nodes to remove during a scale-in event.
    metric bigdataservice.AutoScalingConfigurationPolicyDetailsScaleInConfigMetric
    (Updatable) Metric and threshold details for triggering an autoscale action.
    min_node_count int
    (Updatable) This value is the minimum number of nodes the cluster can be scaled-in to.
    step_size int
    (Updatable) This value is the number of nodes to remove during a scale-in event.
    metric Property Map
    (Updatable) Metric and threshold details for triggering an autoscale action.
    minNodeCount Number
    (Updatable) This value is the minimum number of nodes the cluster can be scaled-in to.
    stepSize Number
    (Updatable) This value is the number of nodes to remove during a scale-in event.

    AutoScalingConfigurationPolicyDetailsScaleInConfigMetric, AutoScalingConfigurationPolicyDetailsScaleInConfigMetricArgs

    MetricType string
    (Updatable) Allowed value is CPU_UTILIZATION.
    Threshold AutoScalingConfigurationPolicyDetailsScaleInConfigMetricThreshold
    (Updatable) An autoscale action is triggered when a performance metric exceeds a threshold.
    MetricType string
    (Updatable) Allowed value is CPU_UTILIZATION.
    Threshold AutoScalingConfigurationPolicyDetailsScaleInConfigMetricThreshold
    (Updatable) An autoscale action is triggered when a performance metric exceeds a threshold.
    metricType String
    (Updatable) Allowed value is CPU_UTILIZATION.
    threshold AutoScalingConfigurationPolicyDetailsScaleInConfigMetricThreshold
    (Updatable) An autoscale action is triggered when a performance metric exceeds a threshold.
    metricType string
    (Updatable) Allowed value is CPU_UTILIZATION.
    threshold AutoScalingConfigurationPolicyDetailsScaleInConfigMetricThreshold
    (Updatable) An autoscale action is triggered when a performance metric exceeds a threshold.
    metric_type str
    (Updatable) Allowed value is CPU_UTILIZATION.
    threshold bigdataservice.AutoScalingConfigurationPolicyDetailsScaleInConfigMetricThreshold
    (Updatable) An autoscale action is triggered when a performance metric exceeds a threshold.
    metricType String
    (Updatable) Allowed value is CPU_UTILIZATION.
    threshold Property Map
    (Updatable) An autoscale action is triggered when a performance metric exceeds a threshold.

    AutoScalingConfigurationPolicyDetailsScaleInConfigMetricThreshold, AutoScalingConfigurationPolicyDetailsScaleInConfigMetricThresholdArgs

    DurationInMinutes int
    (Updatable) This value is the minimum period of time the metric value exceeds the threshold value before the action is triggered. The value is in minutes.
    Operator string
    (Updatable) The comparison operator to use. Options are greater than (GT) or less than (LT).
    Value int
    (Updatable) Integer non-negative value. 0 < value < 100
    DurationInMinutes int
    (Updatable) This value is the minimum period of time the metric value exceeds the threshold value before the action is triggered. The value is in minutes.
    Operator string
    (Updatable) The comparison operator to use. Options are greater than (GT) or less than (LT).
    Value int
    (Updatable) Integer non-negative value. 0 < value < 100
    durationInMinutes Integer
    (Updatable) This value is the minimum period of time the metric value exceeds the threshold value before the action is triggered. The value is in minutes.
    operator String
    (Updatable) The comparison operator to use. Options are greater than (GT) or less than (LT).
    value Integer
    (Updatable) Integer non-negative value. 0 < value < 100
    durationInMinutes number
    (Updatable) This value is the minimum period of time the metric value exceeds the threshold value before the action is triggered. The value is in minutes.
    operator string
    (Updatable) The comparison operator to use. Options are greater than (GT) or less than (LT).
    value number
    (Updatable) Integer non-negative value. 0 < value < 100
    duration_in_minutes int
    (Updatable) This value is the minimum period of time the metric value exceeds the threshold value before the action is triggered. The value is in minutes.
    operator str
    (Updatable) The comparison operator to use. Options are greater than (GT) or less than (LT).
    value int
    (Updatable) Integer non-negative value. 0 < value < 100
    durationInMinutes Number
    (Updatable) This value is the minimum period of time the metric value exceeds the threshold value before the action is triggered. The value is in minutes.
    operator String
    (Updatable) The comparison operator to use. Options are greater than (GT) or less than (LT).
    value Number
    (Updatable) Integer non-negative value. 0 < value < 100

    AutoScalingConfigurationPolicyDetailsScaleOutConfig, AutoScalingConfigurationPolicyDetailsScaleOutConfigArgs

    MaxNodeCount int
    (Updatable) This value is the maximum number of nodes the cluster can be scaled-out to.
    Metric AutoScalingConfigurationPolicyDetailsScaleOutConfigMetric
    (Updatable) Metric and threshold details for triggering an autoscale action.
    StepSize int
    (Updatable) This value is the number of nodes to add during a scale-out event.
    MaxNodeCount int
    (Updatable) This value is the maximum number of nodes the cluster can be scaled-out to.
    Metric AutoScalingConfigurationPolicyDetailsScaleOutConfigMetric
    (Updatable) Metric and threshold details for triggering an autoscale action.
    StepSize int
    (Updatable) This value is the number of nodes to add during a scale-out event.
    maxNodeCount Integer
    (Updatable) This value is the maximum number of nodes the cluster can be scaled-out to.
    metric AutoScalingConfigurationPolicyDetailsScaleOutConfigMetric
    (Updatable) Metric and threshold details for triggering an autoscale action.
    stepSize Integer
    (Updatable) This value is the number of nodes to add during a scale-out event.
    maxNodeCount number
    (Updatable) This value is the maximum number of nodes the cluster can be scaled-out to.
    metric AutoScalingConfigurationPolicyDetailsScaleOutConfigMetric
    (Updatable) Metric and threshold details for triggering an autoscale action.
    stepSize number
    (Updatable) This value is the number of nodes to add during a scale-out event.
    max_node_count int
    (Updatable) This value is the maximum number of nodes the cluster can be scaled-out to.
    metric bigdataservice.AutoScalingConfigurationPolicyDetailsScaleOutConfigMetric
    (Updatable) Metric and threshold details for triggering an autoscale action.
    step_size int
    (Updatable) This value is the number of nodes to add during a scale-out event.
    maxNodeCount Number
    (Updatable) This value is the maximum number of nodes the cluster can be scaled-out to.
    metric Property Map
    (Updatable) Metric and threshold details for triggering an autoscale action.
    stepSize Number
    (Updatable) This value is the number of nodes to add during a scale-out event.

    AutoScalingConfigurationPolicyDetailsScaleOutConfigMetric, AutoScalingConfigurationPolicyDetailsScaleOutConfigMetricArgs

    MetricType string
    (Updatable) Allowed value is CPU_UTILIZATION.
    Threshold AutoScalingConfigurationPolicyDetailsScaleOutConfigMetricThreshold
    (Updatable) An autoscale action is triggered when a performance metric exceeds a threshold.
    MetricType string
    (Updatable) Allowed value is CPU_UTILIZATION.
    Threshold AutoScalingConfigurationPolicyDetailsScaleOutConfigMetricThreshold
    (Updatable) An autoscale action is triggered when a performance metric exceeds a threshold.
    metricType String
    (Updatable) Allowed value is CPU_UTILIZATION.
    threshold AutoScalingConfigurationPolicyDetailsScaleOutConfigMetricThreshold
    (Updatable) An autoscale action is triggered when a performance metric exceeds a threshold.
    metricType string
    (Updatable) Allowed value is CPU_UTILIZATION.
    threshold AutoScalingConfigurationPolicyDetailsScaleOutConfigMetricThreshold
    (Updatable) An autoscale action is triggered when a performance metric exceeds a threshold.
    metric_type str
    (Updatable) Allowed value is CPU_UTILIZATION.
    threshold bigdataservice.AutoScalingConfigurationPolicyDetailsScaleOutConfigMetricThreshold
    (Updatable) An autoscale action is triggered when a performance metric exceeds a threshold.
    metricType String
    (Updatable) Allowed value is CPU_UTILIZATION.
    threshold Property Map
    (Updatable) An autoscale action is triggered when a performance metric exceeds a threshold.

    AutoScalingConfigurationPolicyDetailsScaleOutConfigMetricThreshold, AutoScalingConfigurationPolicyDetailsScaleOutConfigMetricThresholdArgs

    DurationInMinutes int
    (Updatable) This value is the minimum period of time the metric value exceeds the threshold value before the action is triggered. The value is in minutes.
    Operator string
    (Updatable) The comparison operator to use. Options are greater than (GT) or less than (LT).
    Value int
    (Updatable) Integer non-negative value. 0 < value < 100
    DurationInMinutes int
    (Updatable) This value is the minimum period of time the metric value exceeds the threshold value before the action is triggered. The value is in minutes.
    Operator string
    (Updatable) The comparison operator to use. Options are greater than (GT) or less than (LT).
    Value int
    (Updatable) Integer non-negative value. 0 < value < 100
    durationInMinutes Integer
    (Updatable) This value is the minimum period of time the metric value exceeds the threshold value before the action is triggered. The value is in minutes.
    operator String
    (Updatable) The comparison operator to use. Options are greater than (GT) or less than (LT).
    value Integer
    (Updatable) Integer non-negative value. 0 < value < 100
    durationInMinutes number
    (Updatable) This value is the minimum period of time the metric value exceeds the threshold value before the action is triggered. The value is in minutes.
    operator string
    (Updatable) The comparison operator to use. Options are greater than (GT) or less than (LT).
    value number
    (Updatable) Integer non-negative value. 0 < value < 100
    duration_in_minutes int
    (Updatable) This value is the minimum period of time the metric value exceeds the threshold value before the action is triggered. The value is in minutes.
    operator str
    (Updatable) The comparison operator to use. Options are greater than (GT) or less than (LT).
    value int
    (Updatable) Integer non-negative value. 0 < value < 100
    durationInMinutes Number
    (Updatable) This value is the minimum period of time the metric value exceeds the threshold value before the action is triggered. The value is in minutes.
    operator String
    (Updatable) The comparison operator to use. Options are greater than (GT) or less than (LT).
    value Number
    (Updatable) Integer non-negative value. 0 < value < 100

    AutoScalingConfigurationPolicyDetailsScaleUpConfig, AutoScalingConfigurationPolicyDetailsScaleUpConfigArgs

    MaxMemoryPerNode int
    (Updatable) For nodes with flexible compute shapes, this value is the maximum memory in GBs each node can be scaled-up to. This value is not used for nodes with fixed compute shapes.
    MaxOcpusPerNode int
    (Updatable) For nodes with flexible compute shapes, this value is the maximum number of OCPUs each node can be scaled-up to. This value is not used for nodes with fixed compute shapes.
    MemoryStepSize int
    (Updatable) For nodes with flexible compute shapes, this value is the size of memory in GBs to add to each node during a scale-up event. This value is not used for nodes with fixed compute shapes.
    Metric AutoScalingConfigurationPolicyDetailsScaleUpConfigMetric
    (Updatable) Metric and threshold details for triggering an autoscale action.
    OcpuStepSize int
    (Updatable) For nodes with flexible compute shapes, this value is the number of OCPUs to add to each node during a scale-up event. This value is not used for nodes with fixed compute shapes.
    MaxMemoryPerNode int
    (Updatable) For nodes with flexible compute shapes, this value is the maximum memory in GBs each node can be scaled-up to. This value is not used for nodes with fixed compute shapes.
    MaxOcpusPerNode int
    (Updatable) For nodes with flexible compute shapes, this value is the maximum number of OCPUs each node can be scaled-up to. This value is not used for nodes with fixed compute shapes.
    MemoryStepSize int
    (Updatable) For nodes with flexible compute shapes, this value is the size of memory in GBs to add to each node during a scale-up event. This value is not used for nodes with fixed compute shapes.
    Metric AutoScalingConfigurationPolicyDetailsScaleUpConfigMetric
    (Updatable) Metric and threshold details for triggering an autoscale action.
    OcpuStepSize int
    (Updatable) For nodes with flexible compute shapes, this value is the number of OCPUs to add to each node during a scale-up event. This value is not used for nodes with fixed compute shapes.
    maxMemoryPerNode Integer
    (Updatable) For nodes with flexible compute shapes, this value is the maximum memory in GBs each node can be scaled-up to. This value is not used for nodes with fixed compute shapes.
    maxOcpusPerNode Integer
    (Updatable) For nodes with flexible compute shapes, this value is the maximum number of OCPUs each node can be scaled-up to. This value is not used for nodes with fixed compute shapes.
    memoryStepSize Integer
    (Updatable) For nodes with flexible compute shapes, this value is the size of memory in GBs to add to each node during a scale-up event. This value is not used for nodes with fixed compute shapes.
    metric AutoScalingConfigurationPolicyDetailsScaleUpConfigMetric
    (Updatable) Metric and threshold details for triggering an autoscale action.
    ocpuStepSize Integer
    (Updatable) For nodes with flexible compute shapes, this value is the number of OCPUs to add to each node during a scale-up event. This value is not used for nodes with fixed compute shapes.
    maxMemoryPerNode number
    (Updatable) For nodes with flexible compute shapes, this value is the maximum memory in GBs each node can be scaled-up to. This value is not used for nodes with fixed compute shapes.
    maxOcpusPerNode number
    (Updatable) For nodes with flexible compute shapes, this value is the maximum number of OCPUs each node can be scaled-up to. This value is not used for nodes with fixed compute shapes.
    memoryStepSize number
    (Updatable) For nodes with flexible compute shapes, this value is the size of memory in GBs to add to each node during a scale-up event. This value is not used for nodes with fixed compute shapes.
    metric AutoScalingConfigurationPolicyDetailsScaleUpConfigMetric
    (Updatable) Metric and threshold details for triggering an autoscale action.
    ocpuStepSize number
    (Updatable) For nodes with flexible compute shapes, this value is the number of OCPUs to add to each node during a scale-up event. This value is not used for nodes with fixed compute shapes.
    max_memory_per_node int
    (Updatable) For nodes with flexible compute shapes, this value is the maximum memory in GBs each node can be scaled-up to. This value is not used for nodes with fixed compute shapes.
    max_ocpus_per_node int
    (Updatable) For nodes with flexible compute shapes, this value is the maximum number of OCPUs each node can be scaled-up to. This value is not used for nodes with fixed compute shapes.
    memory_step_size int
    (Updatable) For nodes with flexible compute shapes, this value is the size of memory in GBs to add to each node during a scale-up event. This value is not used for nodes with fixed compute shapes.
    metric bigdataservice.AutoScalingConfigurationPolicyDetailsScaleUpConfigMetric
    (Updatable) Metric and threshold details for triggering an autoscale action.
    ocpu_step_size int
    (Updatable) For nodes with flexible compute shapes, this value is the number of OCPUs to add to each node during a scale-up event. This value is not used for nodes with fixed compute shapes.
    maxMemoryPerNode Number
    (Updatable) For nodes with flexible compute shapes, this value is the maximum memory in GBs each node can be scaled-up to. This value is not used for nodes with fixed compute shapes.
    maxOcpusPerNode Number
    (Updatable) For nodes with flexible compute shapes, this value is the maximum number of OCPUs each node can be scaled-up to. This value is not used for nodes with fixed compute shapes.
    memoryStepSize Number
    (Updatable) For nodes with flexible compute shapes, this value is the size of memory in GBs to add to each node during a scale-up event. This value is not used for nodes with fixed compute shapes.
    metric Property Map
    (Updatable) Metric and threshold details for triggering an autoscale action.
    ocpuStepSize Number
    (Updatable) For nodes with flexible compute shapes, this value is the number of OCPUs to add to each node during a scale-up event. This value is not used for nodes with fixed compute shapes.

    AutoScalingConfigurationPolicyDetailsScaleUpConfigMetric, AutoScalingConfigurationPolicyDetailsScaleUpConfigMetricArgs

    MetricType string
    (Updatable) Allowed value is CPU_UTILIZATION.
    Threshold AutoScalingConfigurationPolicyDetailsScaleUpConfigMetricThreshold
    (Updatable) An autoscale action is triggered when a performance metric exceeds a threshold.
    MetricType string
    (Updatable) Allowed value is CPU_UTILIZATION.
    Threshold AutoScalingConfigurationPolicyDetailsScaleUpConfigMetricThreshold
    (Updatable) An autoscale action is triggered when a performance metric exceeds a threshold.
    metricType String
    (Updatable) Allowed value is CPU_UTILIZATION.
    threshold AutoScalingConfigurationPolicyDetailsScaleUpConfigMetricThreshold
    (Updatable) An autoscale action is triggered when a performance metric exceeds a threshold.
    metricType string
    (Updatable) Allowed value is CPU_UTILIZATION.
    threshold AutoScalingConfigurationPolicyDetailsScaleUpConfigMetricThreshold
    (Updatable) An autoscale action is triggered when a performance metric exceeds a threshold.
    metric_type str
    (Updatable) Allowed value is CPU_UTILIZATION.
    threshold bigdataservice.AutoScalingConfigurationPolicyDetailsScaleUpConfigMetricThreshold
    (Updatable) An autoscale action is triggered when a performance metric exceeds a threshold.
    metricType String
    (Updatable) Allowed value is CPU_UTILIZATION.
    threshold Property Map
    (Updatable) An autoscale action is triggered when a performance metric exceeds a threshold.

    AutoScalingConfigurationPolicyDetailsScaleUpConfigMetricThreshold, AutoScalingConfigurationPolicyDetailsScaleUpConfigMetricThresholdArgs

    DurationInMinutes int
    (Updatable) This value is the minimum period of time the metric value exceeds the threshold value before the action is triggered. The value is in minutes.
    Operator string
    (Updatable) The comparison operator to use. Options are greater than (GT) or less than (LT).
    Value int
    (Updatable) Integer non-negative value. 0 < value < 100
    DurationInMinutes int
    (Updatable) This value is the minimum period of time the metric value exceeds the threshold value before the action is triggered. The value is in minutes.
    Operator string
    (Updatable) The comparison operator to use. Options are greater than (GT) or less than (LT).
    Value int
    (Updatable) Integer non-negative value. 0 < value < 100
    durationInMinutes Integer
    (Updatable) This value is the minimum period of time the metric value exceeds the threshold value before the action is triggered. The value is in minutes.
    operator String
    (Updatable) The comparison operator to use. Options are greater than (GT) or less than (LT).
    value Integer
    (Updatable) Integer non-negative value. 0 < value < 100
    durationInMinutes number
    (Updatable) This value is the minimum period of time the metric value exceeds the threshold value before the action is triggered. The value is in minutes.
    operator string
    (Updatable) The comparison operator to use. Options are greater than (GT) or less than (LT).
    value number
    (Updatable) Integer non-negative value. 0 < value < 100
    duration_in_minutes int
    (Updatable) This value is the minimum period of time the metric value exceeds the threshold value before the action is triggered. The value is in minutes.
    operator str
    (Updatable) The comparison operator to use. Options are greater than (GT) or less than (LT).
    value int
    (Updatable) Integer non-negative value. 0 < value < 100
    durationInMinutes Number
    (Updatable) This value is the minimum period of time the metric value exceeds the threshold value before the action is triggered. The value is in minutes.
    operator String
    (Updatable) The comparison operator to use. Options are greater than (GT) or less than (LT).
    value Number
    (Updatable) Integer non-negative value. 0 < value < 100

    AutoScalingConfigurationPolicyDetailsScheduleDetail, AutoScalingConfigurationPolicyDetailsScheduleDetailArgs

    ScheduleType string
    (Updatable) The type of schedule.
    TimeAndHorizontalScalingConfigs []AutoScalingConfigurationPolicyDetailsScheduleDetailTimeAndHorizontalScalingConfig
    (Updatable) Time of day and horizontal scaling configuration.
    TimeAndVerticalScalingConfigs []AutoScalingConfigurationPolicyDetailsScheduleDetailTimeAndVerticalScalingConfig
    (Updatable) Time of day and vertical scaling configuration
    scheduleType string
    (Updatable) The type of schedule.
    timeAndHorizontalScalingConfigs AutoScalingConfigurationPolicyDetailsScheduleDetailTimeAndHorizontalScalingConfig[]
    (Updatable) Time of day and horizontal scaling configuration.
    timeAndVerticalScalingConfigs AutoScalingConfigurationPolicyDetailsScheduleDetailTimeAndVerticalScalingConfig[]
    (Updatable) Time of day and vertical scaling configuration
    scheduleType String
    (Updatable) The type of schedule.
    timeAndHorizontalScalingConfigs List<Property Map>
    (Updatable) Time of day and horizontal scaling configuration.
    timeAndVerticalScalingConfigs List<Property Map>
    (Updatable) Time of day and vertical scaling configuration

    AutoScalingConfigurationPolicyDetailsScheduleDetailTimeAndHorizontalScalingConfig, AutoScalingConfigurationPolicyDetailsScheduleDetailTimeAndHorizontalScalingConfigArgs

    TargetNodeCount int
    (Updatable) This value is the desired number of nodes in the cluster.
    TimeRecurrence string
    (Updatable) Day/time recurrence (specified following RFC 5545) at which to trigger autoscaling action. Currently only WEEKLY frequency is supported. Days of the week are specified using BYDAY field. Time of the day is specified using BYHOUR and BYMINUTE fields. Other fields are not supported.
    TargetNodeCount int
    (Updatable) This value is the desired number of nodes in the cluster.
    TimeRecurrence string
    (Updatable) Day/time recurrence (specified following RFC 5545) at which to trigger autoscaling action. Currently only WEEKLY frequency is supported. Days of the week are specified using BYDAY field. Time of the day is specified using BYHOUR and BYMINUTE fields. Other fields are not supported.
    targetNodeCount Integer
    (Updatable) This value is the desired number of nodes in the cluster.
    timeRecurrence String
    (Updatable) Day/time recurrence (specified following RFC 5545) at which to trigger autoscaling action. Currently only WEEKLY frequency is supported. Days of the week are specified using BYDAY field. Time of the day is specified using BYHOUR and BYMINUTE fields. Other fields are not supported.
    targetNodeCount number
    (Updatable) This value is the desired number of nodes in the cluster.
    timeRecurrence string
    (Updatable) Day/time recurrence (specified following RFC 5545) at which to trigger autoscaling action. Currently only WEEKLY frequency is supported. Days of the week are specified using BYDAY field. Time of the day is specified using BYHOUR and BYMINUTE fields. Other fields are not supported.
    target_node_count int
    (Updatable) This value is the desired number of nodes in the cluster.
    time_recurrence str
    (Updatable) Day/time recurrence (specified following RFC 5545) at which to trigger autoscaling action. Currently only WEEKLY frequency is supported. Days of the week are specified using BYDAY field. Time of the day is specified using BYHOUR and BYMINUTE fields. Other fields are not supported.
    targetNodeCount Number
    (Updatable) This value is the desired number of nodes in the cluster.
    timeRecurrence String
    (Updatable) Day/time recurrence (specified following RFC 5545) at which to trigger autoscaling action. Currently only WEEKLY frequency is supported. Days of the week are specified using BYDAY field. Time of the day is specified using BYHOUR and BYMINUTE fields. Other fields are not supported.

    AutoScalingConfigurationPolicyDetailsScheduleDetailTimeAndVerticalScalingConfig, AutoScalingConfigurationPolicyDetailsScheduleDetailTimeAndVerticalScalingConfigArgs

    TargetMemoryPerNode int
    (Updatable) For nodes with flexible compute shapes, this value is the desired memory in GBs on each node. This value is not used for nodes with fixed compute shapes.
    TargetOcpusPerNode int
    (Updatable) For nodes with flexible compute shapes, this value is the desired OCPUs count on each node. This value is not used for nodes with fixed compute shapes.
    TargetShape string
    (Updatable) For nodes with fixed compute shapes, this value is the desired shape of each node. This value is not used for nodes with flexible compute shapes.
    TimeRecurrence string
    (Updatable) Day/time recurrence (specified following RFC 5545) at which to trigger autoscaling action. Currently only WEEKLY frequency is supported. Days of the week are specified using BYDAY field. Time of the day is specified using BYHOUR and BYMINUTE fields. Other fields are not supported.
    TargetMemoryPerNode int
    (Updatable) For nodes with flexible compute shapes, this value is the desired memory in GBs on each node. This value is not used for nodes with fixed compute shapes.
    TargetOcpusPerNode int
    (Updatable) For nodes with flexible compute shapes, this value is the desired OCPUs count on each node. This value is not used for nodes with fixed compute shapes.
    TargetShape string
    (Updatable) For nodes with fixed compute shapes, this value is the desired shape of each node. This value is not used for nodes with flexible compute shapes.
    TimeRecurrence string
    (Updatable) Day/time recurrence (specified following RFC 5545) at which to trigger autoscaling action. Currently only WEEKLY frequency is supported. Days of the week are specified using BYDAY field. Time of the day is specified using BYHOUR and BYMINUTE fields. Other fields are not supported.
    targetMemoryPerNode Integer
    (Updatable) For nodes with flexible compute shapes, this value is the desired memory in GBs on each node. This value is not used for nodes with fixed compute shapes.
    targetOcpusPerNode Integer
    (Updatable) For nodes with flexible compute shapes, this value is the desired OCPUs count on each node. This value is not used for nodes with fixed compute shapes.
    targetShape String
    (Updatable) For nodes with fixed compute shapes, this value is the desired shape of each node. This value is not used for nodes with flexible compute shapes.
    timeRecurrence String
    (Updatable) Day/time recurrence (specified following RFC 5545) at which to trigger autoscaling action. Currently only WEEKLY frequency is supported. Days of the week are specified using BYDAY field. Time of the day is specified using BYHOUR and BYMINUTE fields. Other fields are not supported.
    targetMemoryPerNode number
    (Updatable) For nodes with flexible compute shapes, this value is the desired memory in GBs on each node. This value is not used for nodes with fixed compute shapes.
    targetOcpusPerNode number
    (Updatable) For nodes with flexible compute shapes, this value is the desired OCPUs count on each node. This value is not used for nodes with fixed compute shapes.
    targetShape string
    (Updatable) For nodes with fixed compute shapes, this value is the desired shape of each node. This value is not used for nodes with flexible compute shapes.
    timeRecurrence string
    (Updatable) Day/time recurrence (specified following RFC 5545) at which to trigger autoscaling action. Currently only WEEKLY frequency is supported. Days of the week are specified using BYDAY field. Time of the day is specified using BYHOUR and BYMINUTE fields. Other fields are not supported.
    target_memory_per_node int
    (Updatable) For nodes with flexible compute shapes, this value is the desired memory in GBs on each node. This value is not used for nodes with fixed compute shapes.
    target_ocpus_per_node int
    (Updatable) For nodes with flexible compute shapes, this value is the desired OCPUs count on each node. This value is not used for nodes with fixed compute shapes.
    target_shape str
    (Updatable) For nodes with fixed compute shapes, this value is the desired shape of each node. This value is not used for nodes with flexible compute shapes.
    time_recurrence str
    (Updatable) Day/time recurrence (specified following RFC 5545) at which to trigger autoscaling action. Currently only WEEKLY frequency is supported. Days of the week are specified using BYDAY field. Time of the day is specified using BYHOUR and BYMINUTE fields. Other fields are not supported.
    targetMemoryPerNode Number
    (Updatable) For nodes with flexible compute shapes, this value is the desired memory in GBs on each node. This value is not used for nodes with fixed compute shapes.
    targetOcpusPerNode Number
    (Updatable) For nodes with flexible compute shapes, this value is the desired OCPUs count on each node. This value is not used for nodes with fixed compute shapes.
    targetShape String
    (Updatable) For nodes with fixed compute shapes, this value is the desired shape of each node. This value is not used for nodes with flexible compute shapes.
    timeRecurrence String
    (Updatable) Day/time recurrence (specified following RFC 5545) at which to trigger autoscaling action. Currently only WEEKLY frequency is supported. Days of the week are specified using BYDAY field. Time of the day is specified using BYHOUR and BYMINUTE fields. Other fields are not supported.

    AutoScalingConfigurationPolicyRule, AutoScalingConfigurationPolicyRuleArgs

    Action string
    (Updatable) The valid value are CHANGE_SHAPE_SCALE_UP or CHANGE_SHAPE_SCALE_DOWN.
    Metric AutoScalingConfigurationPolicyRuleMetric
    (Updatable) Metric and threshold details for triggering an autoscale action.
    Action string
    (Updatable) The valid value are CHANGE_SHAPE_SCALE_UP or CHANGE_SHAPE_SCALE_DOWN.
    Metric AutoScalingConfigurationPolicyRuleMetric
    (Updatable) Metric and threshold details for triggering an autoscale action.
    action String
    (Updatable) The valid value are CHANGE_SHAPE_SCALE_UP or CHANGE_SHAPE_SCALE_DOWN.
    metric AutoScalingConfigurationPolicyRuleMetric
    (Updatable) Metric and threshold details for triggering an autoscale action.
    action string
    (Updatable) The valid value are CHANGE_SHAPE_SCALE_UP or CHANGE_SHAPE_SCALE_DOWN.
    metric AutoScalingConfigurationPolicyRuleMetric
    (Updatable) Metric and threshold details for triggering an autoscale action.
    action str
    (Updatable) The valid value are CHANGE_SHAPE_SCALE_UP or CHANGE_SHAPE_SCALE_DOWN.
    metric bigdataservice.AutoScalingConfigurationPolicyRuleMetric
    (Updatable) Metric and threshold details for triggering an autoscale action.
    action String
    (Updatable) The valid value are CHANGE_SHAPE_SCALE_UP or CHANGE_SHAPE_SCALE_DOWN.
    metric Property Map
    (Updatable) Metric and threshold details for triggering an autoscale action.

    AutoScalingConfigurationPolicyRuleMetric, AutoScalingConfigurationPolicyRuleMetricArgs

    MetricType string
    (Updatable) Allowed value is CPU_UTILIZATION.
    Threshold AutoScalingConfigurationPolicyRuleMetricThreshold
    (Updatable) An autoscale action is triggered when a performance metric exceeds a threshold.
    MetricType string
    (Updatable) Allowed value is CPU_UTILIZATION.
    Threshold AutoScalingConfigurationPolicyRuleMetricThreshold
    (Updatable) An autoscale action is triggered when a performance metric exceeds a threshold.
    metricType String
    (Updatable) Allowed value is CPU_UTILIZATION.
    threshold AutoScalingConfigurationPolicyRuleMetricThreshold
    (Updatable) An autoscale action is triggered when a performance metric exceeds a threshold.
    metricType string
    (Updatable) Allowed value is CPU_UTILIZATION.
    threshold AutoScalingConfigurationPolicyRuleMetricThreshold
    (Updatable) An autoscale action is triggered when a performance metric exceeds a threshold.
    metric_type str
    (Updatable) Allowed value is CPU_UTILIZATION.
    threshold bigdataservice.AutoScalingConfigurationPolicyRuleMetricThreshold
    (Updatable) An autoscale action is triggered when a performance metric exceeds a threshold.
    metricType String
    (Updatable) Allowed value is CPU_UTILIZATION.
    threshold Property Map
    (Updatable) An autoscale action is triggered when a performance metric exceeds a threshold.

    AutoScalingConfigurationPolicyRuleMetricThreshold, AutoScalingConfigurationPolicyRuleMetricThresholdArgs

    DurationInMinutes int
    (Updatable) This value is the minimum period of time the metric value exceeds the threshold value before the action is triggered. The value is in minutes.
    Operator string
    (Updatable) The comparison operator to use. Options are greater than (GT) or less than (LT).
    Value int
    (Updatable) Integer non-negative value. 0 < value < 100
    DurationInMinutes int
    (Updatable) This value is the minimum period of time the metric value exceeds the threshold value before the action is triggered. The value is in minutes.
    Operator string
    (Updatable) The comparison operator to use. Options are greater than (GT) or less than (LT).
    Value int
    (Updatable) Integer non-negative value. 0 < value < 100
    durationInMinutes Integer
    (Updatable) This value is the minimum period of time the metric value exceeds the threshold value before the action is triggered. The value is in minutes.
    operator String
    (Updatable) The comparison operator to use. Options are greater than (GT) or less than (LT).
    value Integer
    (Updatable) Integer non-negative value. 0 < value < 100
    durationInMinutes number
    (Updatable) This value is the minimum period of time the metric value exceeds the threshold value before the action is triggered. The value is in minutes.
    operator string
    (Updatable) The comparison operator to use. Options are greater than (GT) or less than (LT).
    value number
    (Updatable) Integer non-negative value. 0 < value < 100
    duration_in_minutes int
    (Updatable) This value is the minimum period of time the metric value exceeds the threshold value before the action is triggered. The value is in minutes.
    operator str
    (Updatable) The comparison operator to use. Options are greater than (GT) or less than (LT).
    value int
    (Updatable) Integer non-negative value. 0 < value < 100
    durationInMinutes Number
    (Updatable) This value is the minimum period of time the metric value exceeds the threshold value before the action is triggered. The value is in minutes.
    operator String
    (Updatable) The comparison operator to use. Options are greater than (GT) or less than (LT).
    value Number
    (Updatable) Integer non-negative value. 0 < value < 100

    Import

    AutoScalingConfiguration can be imported using the id, e.g.

    $ pulumi import oci:BigDataService/autoScalingConfiguration:AutoScalingConfiguration test_auto_scaling_configuration "bdsInstances/{bdsInstanceId}/autoScalingConfiguration/{autoScalingConfigurationId}"

    To learn more about importing existing cloud resources, see Importing resources.

    Package Details

    Repository
    oci pulumi/pulumi-oci
    License
    Apache-2.0
    Notes
    This Pulumi package is based on the oci Terraform Provider.
    oci logo
    Oracle Cloud Infrastructure v1.41.0 published on Wednesday, Jun 19, 2024 by Pulumi
    pulumi/pulumi-oci